All language subtitles for All.In.My.Power.2022.1080p.WEBRip.x264.AAC-[YTS.MX]

af Afrikaans
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
tl Filipino
fi Finnish
fr French
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese Download
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,000 --> 00:00:07,000 Downloaded from YTS.MX 2 00:00:08,000 --> 00:00:13,000 Official YIFY movies site: YTS.MX 3 00:00:25,592 --> 00:00:26,793 Scientists in China are 4 00:00:26,826 --> 00:00:29,162 trying to determine if a new virus strain is 5 00:00:29,195 --> 00:00:30,797 responsible for a pneumonia outbreak 6 00:00:30,830 --> 00:00:32,165 in the city of Wuhan. 7 00:00:32,198 --> 00:00:33,666 China ordering a quarantine 8 00:00:33,700 --> 00:00:35,568 for the entire city of Wuhan. 9 00:00:35,602 --> 00:00:38,571 11 million people, no travel in or out. 10 00:00:38,605 --> 00:00:42,108 Wuhan, ground zero for this mysterious virus, 11 00:00:42,142 --> 00:00:44,411 and it's also showing up in other cities. 12 00:00:44,444 --> 00:00:45,612 An update now 13 00:00:45,645 --> 00:00:48,214 on the coronavirus outbreak in Italy. 14 00:00:48,248 --> 00:00:50,817 The government's racing to contain the biggest outbreak of 15 00:00:50,850 --> 00:00:53,820 the virus in Europe, imposing restrictions on about 100,000 16 00:00:53,853 --> 00:00:55,555 people and shutting down public gatherings. 17 00:00:56,589 --> 00:00:58,825 The World Health Organization's decision 18 00:00:58,858 --> 00:01:02,595 to declare the 2019 novel coronavirus a "public health 19 00:01:02,629 --> 00:01:04,831 emergency of international concern." 20 00:01:04,864 --> 00:01:07,734 We instituted sweeping travel restrictions 21 00:01:07,767 --> 00:01:10,670 on China, and put in place the first 22 00:01:10,703 --> 00:01:13,873 federally mandated quarantine in over 50 years. 23 00:01:13,907 --> 00:01:15,809 Governor Cuomo just announced the first 24 00:01:15,842 --> 00:01:18,244 confirmed case in New York City. 25 00:01:18,278 --> 00:01:19,746 The World Health Organization calling 26 00:01:19,779 --> 00:01:21,648 COVID-19 a pandemic for the first time. 27 00:01:21,681 --> 00:01:24,317 Tonight, the death toll mounting in the US. 28 00:01:24,350 --> 00:01:26,786 Now, at least 100 dead as the number of cases 29 00:01:26,820 --> 00:01:29,222 of coronavirus tops 5,800. 30 00:01:29,255 --> 00:01:31,658 New Yorkers should be prepared right now 31 00:01:31,691 --> 00:01:33,526 for the possibility 32 00:01:33,560 --> 00:01:36,463 of a shelter-in-place order. 33 00:02:28,481 --> 00:02:30,450 When I first heard of COVID-19, 34 00:02:30,483 --> 00:02:32,952 I really didn't think much of it. 35 00:02:33,520 --> 00:02:37,624 It was another one of those viruses like Ebola or H1N1 or, 36 00:02:37,657 --> 00:02:40,860 or even the flu that we're going to read about, 37 00:02:40,894 --> 00:02:44,664 it's going to have some effect on... in China or in Africa or 38 00:02:44,697 --> 00:02:47,200 in Europe or somewhere else. 39 00:02:47,767 --> 00:02:50,703 - I knew that it was going to be a problem, 40 00:02:51,271 --> 00:02:55,808 I just did not understand at all how big of a problem 41 00:02:55,842 --> 00:02:57,710 it really would be. 42 00:02:57,744 --> 00:02:59,779 - When I realized that things were gonna change, 43 00:02:59,812 --> 00:03:03,883 in all honesty, was when... no St. Patty's Day parade, 44 00:03:03,917 --> 00:03:07,954 baseball shut down, NBA shut down, 45 00:03:07,987 --> 00:03:09,989 my kids' schools shut down. 46 00:03:11,424 --> 00:03:15,795 - My first real experience with COVID was 47 00:03:15,828 --> 00:03:18,398 looking at a Facebook post 48 00:03:18,431 --> 00:03:22,936 and it was an Italian nurse who looked exhausted and worn 49 00:03:22,969 --> 00:03:28,875 and wearing the mask and saying, publicly to all of us, 50 00:03:29,609 --> 00:03:32,011 "We had no idea what was coming." 51 00:03:32,712 --> 00:03:37,750 - I think when it started to hit Italy really hard is when I was 52 00:03:37,784 --> 00:03:40,687 in meetings and in the hospital and just really starting to 53 00:03:40,720 --> 00:03:43,056 contemplate, "Well, this is definitely coming here. 54 00:03:43,089 --> 00:03:45,725 And is it already here?" 55 00:03:46,960 --> 00:03:50,363 - I got a call from the CEO that he wanted me 56 00:03:50,396 --> 00:03:51,598 to come to a meeting, 57 00:03:51,631 --> 00:03:53,533 that they were developing a task force. 58 00:03:54,801 --> 00:03:57,904 - My birthday was that Tuesday, March 17th, 59 00:03:57,937 --> 00:03:59,872 St. Patrick's Day. 60 00:03:59,906 --> 00:04:04,077 And that was really the first day things started 61 00:04:04,110 --> 00:04:06,045 to change for me. 62 00:04:06,079 --> 00:04:10,083 I went home, I Face-timed with my parents, 63 00:04:10,116 --> 00:04:14,821 and I realized it was the first birthday I could remember 64 00:04:14,854 --> 00:04:16,923 that I spent alone. 65 00:04:17,991 --> 00:04:19,759 That afternoon, we met, 66 00:04:19,792 --> 00:04:21,995 and it was the, you know, 67 00:04:22,028 --> 00:04:23,863 what, what I call the "top brass." 68 00:04:23,896 --> 00:04:25,431 You know, I'm new in administration, 69 00:04:25,465 --> 00:04:27,967 so here were all the VPs sitting around the table. 70 00:04:29,435 --> 00:04:33,406 - The announcement came over telling New Yorkers: 71 00:04:33,439 --> 00:04:35,575 "Remember to wash your hands for 20 seconds 72 00:04:35,608 --> 00:04:37,377 and keep your distance." 73 00:04:37,410 --> 00:04:40,480 The whole thing seemed almost Orwellian. 74 00:04:40,513 --> 00:04:42,615 That's when we started thinking, you know, 75 00:04:42,649 --> 00:04:44,017 "What are we going to do? 76 00:04:44,050 --> 00:04:45,952 How are we going to prepare the hospital? 77 00:04:45,985 --> 00:04:47,620 What do we have to do?" 78 00:04:48,388 --> 00:04:50,923 Fortunately, our chief medical officer happens to be trained 79 00:04:50,957 --> 00:04:54,661 in infectious disease, so the first thing he said was, 80 00:04:54,694 --> 00:04:57,497 "We need to know how many isolation rooms we have 81 00:04:57,530 --> 00:04:58,865 and how many we can make. 82 00:04:58,898 --> 00:05:00,667 We need to divide our emergency room 83 00:05:00,700 --> 00:05:02,468 into a clean emergency room 84 00:05:02,502 --> 00:05:03,770 and a dirty emergency room. 85 00:05:03,803 --> 00:05:05,538 We need to be able to separate 86 00:05:05,571 --> 00:05:07,340 these patients from the beginning." 87 00:05:07,874 --> 00:05:09,609 - Even to the last day before, like, 88 00:05:09,642 --> 00:05:11,110 they closed bars and clubs, 89 00:05:11,144 --> 00:05:12,378 everybody was, like, 90 00:05:12,412 --> 00:05:13,746 "Okay, like, it's not that bad. 91 00:05:13,780 --> 00:05:15,515 You know, we'll, we'll... we just gotta 92 00:05:15,548 --> 00:05:16,816 like, tackle this down and..." 93 00:05:17,550 --> 00:05:20,453 No, people are dying 94 00:05:20,486 --> 00:05:22,822 and it's very real. 95 00:05:24,524 --> 00:05:26,125 - I actually recall that same night, 96 00:05:26,159 --> 00:05:30,997 my second son, my younger son, texting me and saying, 97 00:05:31,030 --> 00:05:33,666 "Is this something we have to worry about?" 98 00:05:36,869 --> 00:05:38,371 And I said... 99 00:05:39,939 --> 00:05:41,607 Sorry... 100 00:05:43,543 --> 00:05:45,812 Um... 101 00:05:45,845 --> 00:05:47,647 "You don't have to worry about it 102 00:05:47,680 --> 00:05:49,916 unless you're going to China." 103 00:05:53,186 --> 00:05:55,054 Boy, was I wrong. 104 00:06:00,026 --> 00:06:02,061 Governor Andrew Cuomo has declared a 105 00:06:02,095 --> 00:06:04,897 state of emergency in New York as dozens of 106 00:06:04,931 --> 00:06:08,000 new cases of coronavirus are determined each day. 107 00:06:08,034 --> 00:06:10,737 The first case of coronavirus hitting Queens. 108 00:06:10,770 --> 00:06:13,106 There are cases in Brooklyn as well. 109 00:06:13,139 --> 00:06:15,007 State officials are still insisting 110 00:06:15,041 --> 00:06:17,210 the public health risk is low, 111 00:06:17,243 --> 00:06:20,546 and for now, the only thing worse than the virus 112 00:06:20,580 --> 00:06:22,415 is the fear and anxiety. 113 00:06:25,885 --> 00:06:29,555 - There was a very serious moment when this all clicked. 114 00:06:29,589 --> 00:06:33,760 My whole plan, my whole routine changed immediately. 115 00:06:33,793 --> 00:06:36,929 - The situation started to get a little bit more real for me as 116 00:06:36,963 --> 00:06:40,900 the window for screening started to widen. 117 00:06:41,734 --> 00:06:46,606 - Mid-March is when we got the notification that half of 118 00:06:46,639 --> 00:06:50,243 the unit was going to become a full adult ICU, 119 00:06:50,276 --> 00:06:55,581 and that was going to be staffed by pediatric ICU nurses. 120 00:06:55,615 --> 00:06:58,751 - It started with, "We're gonna screen these patients with a 121 00:06:58,785 --> 00:07:01,788 influenza-like illness from Wuhan, China, specifically, 122 00:07:01,821 --> 00:07:03,856 who were traveling within the last two weeks," 123 00:07:03,890 --> 00:07:08,027 to Mainland China, to now the countries of 124 00:07:08,060 --> 00:07:10,596 China, South Korea, Iran, and Italy. 125 00:07:11,664 --> 00:07:15,101 - We had to empty out all of the operating rooms, 126 00:07:15,134 --> 00:07:20,139 all the equipment, all the supplies and transition into a 127 00:07:20,173 --> 00:07:25,178 fully-operating ICU in less than three days. 128 00:07:26,045 --> 00:07:27,947 - Towards the end of the month, you know, 129 00:07:27,980 --> 00:07:30,583 if you just came in with a cough or fever, 130 00:07:30,616 --> 00:07:32,752 we were isolating you. 131 00:07:32,785 --> 00:07:33,820 - Because we were getting direction 132 00:07:33,853 --> 00:07:36,622 from the Department of Health that we needed to 133 00:07:36,656 --> 00:07:39,892 prepare ourselves from a 24-bed ICU 134 00:07:39,926 --> 00:07:41,928 to a 75-bed ICU. 135 00:07:44,197 --> 00:07:46,766 - I gave every one of my employees the option, 136 00:07:46,799 --> 00:07:49,969 if they were frightened or concerned, 137 00:07:50,002 --> 00:07:52,138 that they did not have to attend work. 138 00:07:53,306 --> 00:07:55,141 Environmental started coming in and, and 139 00:07:55,174 --> 00:07:57,210 and putting, you know, the plastic up, and 140 00:07:57,243 --> 00:07:59,579 it was like a scene out of a movie. 141 00:07:59,612 --> 00:08:01,647 Remember the movie 'Outbreak' with Dustin Hoffman? 142 00:08:01,681 --> 00:08:04,283 I'm telling ya, it's, it's like that. 143 00:08:04,951 --> 00:08:05,852 Our life changed 144 00:08:05,885 --> 00:08:08,688 within a span of a week as pediatricians. 145 00:08:08,721 --> 00:08:12,558 We started initially taking up to 25-year-olds. 146 00:08:12,592 --> 00:08:14,293 And then the next day, it was 30, 147 00:08:14,327 --> 00:08:16,262 and then the next day, it was 35. 148 00:08:16,295 --> 00:08:19,866 And then the number just kinda kept going up until age 50. 149 00:08:21,300 --> 00:08:25,271 We're going to need massive medical capacity on 150 00:08:25,304 --> 00:08:27,039 a scale we have never seen in 151 00:08:27,073 --> 00:08:28,808 the history of New York City before. 152 00:08:28,841 --> 00:08:30,576 The Mayor is sounding the alarm 153 00:08:30,610 --> 00:08:31,944 about the city's medical supplies. 154 00:08:31,978 --> 00:08:34,080 He says, "Hospitals have what they need right now, 155 00:08:34,113 --> 00:08:36,282 but that will be a different story next month." 156 00:08:36,315 --> 00:08:37,884 With the biggest challenge: 157 00:08:37,917 --> 00:08:39,952 Critical care facilities. 158 00:08:39,986 --> 00:08:43,122 There are only 45,000 ICU beds in America 159 00:08:43,155 --> 00:08:45,191 and about 160,000 ventilators. 160 00:08:45,224 --> 00:08:48,227 And doctors say many are currently occupied 161 00:08:48,261 --> 00:08:50,196 by other patients. 162 00:08:52,064 --> 00:08:55,701 - The first thing that I realized was different was waking into 163 00:08:55,735 --> 00:08:59,238 the hospital and being handed a surgical mask from 164 00:08:59,272 --> 00:09:00,840 a security guard. 165 00:09:00,873 --> 00:09:04,043 And I remember pausing, because usually, 166 00:09:04,076 --> 00:09:06,379 you swipe your badge and you walk in. 167 00:09:06,412 --> 00:09:10,016 It's something that made it more real and made it more 168 00:09:10,049 --> 00:09:12,718 like it's here and it's, it's serious. 169 00:09:13,686 --> 00:09:15,254 - The way we answered the phone changed, 170 00:09:15,288 --> 00:09:17,757 the way we treated patients changed. 171 00:09:17,790 --> 00:09:20,893 My office looks totally transformed, 172 00:09:20,927 --> 00:09:23,362 with plastic covers over everything. 173 00:09:24,263 --> 00:09:26,766 How are we going to expand the hospital? 174 00:09:26,799 --> 00:09:30,069 What areas of the hospital are viable to place patients in? 175 00:09:30,303 --> 00:09:32,872 So we took the plans out and we looked. 176 00:09:32,905 --> 00:09:35,074 "These rooms have electricity, these rooms have plumbing, 177 00:09:35,107 --> 00:09:37,209 these rooms have this, this is our first plan, 178 00:09:37,243 --> 00:09:40,112 this is what we're going to do when we have 20 patients, 179 00:09:40,146 --> 00:09:42,715 when we have 40 patients, when we have 60 patients." 180 00:09:43,849 --> 00:09:47,753 - I began unrolling PPE, personal protection equipment, 181 00:09:47,787 --> 00:09:50,056 in my office, teaching every member of my staff, 182 00:09:50,089 --> 00:09:53,659 no matter what their role, how to use an N95 mask, 183 00:09:53,693 --> 00:09:55,795 how to remove the mask. 184 00:09:55,828 --> 00:09:59,899 March 23rd was the day we officially started to bring 185 00:09:59,932 --> 00:10:02,768 patients into our operating rooms, 186 00:10:02,802 --> 00:10:06,138 not as surgical patients but as ICU patients. 187 00:10:07,239 --> 00:10:08,407 I remember, like, 188 00:10:08,441 --> 00:10:10,343 watching the news and you would see, like, 189 00:10:10,376 --> 00:10:12,144 an exponential rise in cases, and then 190 00:10:12,178 --> 00:10:14,313 you got to work and it was just like, 191 00:10:14,347 --> 00:10:15,948 "Okay, we're doing this this day. 192 00:10:15,982 --> 00:10:17,717 This is how it's gonna work out," 193 00:10:17,750 --> 00:10:19,785 and we just had to adjust to changes. 194 00:10:20,820 --> 00:10:23,689 - Our first patient came March 3rd. 195 00:10:24,357 --> 00:10:27,927 I remember the day because I remember the fear 196 00:10:27,960 --> 00:10:29,662 in everyone's eyes. 197 00:10:32,131 --> 00:10:35,267 We are today issuing an emergency order 198 00:10:35,301 --> 00:10:38,070 that says to all hospitals: 199 00:10:38,104 --> 00:10:43,309 You must increase your capacity by 50%. 200 00:10:43,342 --> 00:10:45,711 You must. 201 00:10:45,745 --> 00:10:48,714 - We prepared for it and we had our PPE, 202 00:10:48,748 --> 00:10:51,751 but I think the patient was just as scared as we were. 203 00:10:51,784 --> 00:10:53,352 "What's gonna happen to me?" You know, 204 00:10:53,386 --> 00:10:58,324 behind this wall, this frosted plastic curtain that, 205 00:10:58,357 --> 00:11:01,227 you know, we unzip with all our gear on and go in 206 00:11:01,260 --> 00:11:03,129 and say hello to the patient. 207 00:11:03,162 --> 00:11:08,267 - We went from one patient that first Sunday to 208 00:11:08,300 --> 00:11:11,871 over 50 patients by the end of that week. 209 00:11:11,904 --> 00:11:15,174 - I had a call to go into my manager's office, 210 00:11:15,207 --> 00:11:18,010 and she said she had some bad news for us. 211 00:11:18,044 --> 00:11:24,183 One of the patients we operated on tested positive for COVID. 212 00:11:25,084 --> 00:11:27,486 - We had heard children weren't really getting it, 213 00:11:27,520 --> 00:11:29,822 so when we got the first positive result, 214 00:11:29,855 --> 00:11:31,991 everyone sort of looked around. 215 00:11:32,024 --> 00:11:33,859 "Okay, now what? 216 00:11:33,893 --> 00:11:34,827 What's our policy? 217 00:11:34,860 --> 00:11:36,762 What are we supposed to do? 218 00:11:36,796 --> 00:11:39,231 Is a nurse able to take care of this patient 219 00:11:39,265 --> 00:11:41,333 and another patient?" 220 00:11:41,367 --> 00:11:43,235 - I was kind of shocked. 221 00:11:43,269 --> 00:11:44,904 I came home. 222 00:11:44,937 --> 00:11:48,474 My husband told me, "God knows his children" 223 00:11:48,507 --> 00:11:51,210 and I'm not gonna get it, so we prayed. 224 00:11:51,243 --> 00:11:53,879 And then the following day, I went to work. 225 00:11:54,413 --> 00:11:57,850 - I think the thing that's really specific to emergency medicine 226 00:11:57,883 --> 00:12:01,187 is you never know what's gonna walk through your door 227 00:12:01,220 --> 00:12:03,255 at any given moment, day or night. 228 00:12:04,090 --> 00:12:07,426 And so you're trained to be ready for anything 229 00:12:07,460 --> 00:12:08,861 that comes through the door. 230 00:12:12,932 --> 00:12:14,867 Overnight, our, our heart attacks, 231 00:12:14,900 --> 00:12:18,571 our strokes, our GI bleeds, our psychiatric patients... 232 00:12:18,604 --> 00:12:22,408 they disappeared and they were replaced 233 00:12:22,441 --> 00:12:25,277 with a flood of patients in respiratory distress. 234 00:12:26,846 --> 00:12:31,417 - I've never seen us or myself change directions 235 00:12:31,450 --> 00:12:35,521 twice or three times a day, totally 180, and now, 236 00:12:35,554 --> 00:12:37,089 we're doing it this way. 237 00:12:37,423 --> 00:12:39,191 And when I say "respiratory distress," 238 00:12:39,225 --> 00:12:42,128 I mean I have never seen oxygen levels 239 00:12:42,161 --> 00:12:44,063 as low as I have seen in this, 240 00:12:44,096 --> 00:12:47,099 um, population of patients before. 241 00:12:47,133 --> 00:12:50,870 And just one after another after another. 242 00:12:52,605 --> 00:12:53,839 - It was stressful. 243 00:12:53,873 --> 00:12:56,408 It was very stressful because the last thing that you wanted 244 00:12:56,442 --> 00:13:00,012 to do was make a wrong move and expose a certain person, 245 00:13:00,045 --> 00:13:01,947 and above all, like, y... you know, 246 00:13:01,981 --> 00:13:04,283 you, you wanted to protect yourself. 247 00:13:04,550 --> 00:13:07,186 As a physician, I think that's what we do. 248 00:13:07,219 --> 00:13:08,554 The patients come into the room, 249 00:13:08,587 --> 00:13:11,090 we talk to them, we develop a rapport with them, 250 00:13:11,123 --> 00:13:13,626 we ask them questions so that we can develop a, 251 00:13:13,659 --> 00:13:16,262 uh, solution to their problem. 252 00:13:16,295 --> 00:13:18,097 COVID is completely different. 253 00:13:18,130 --> 00:13:19,932 There is no solution. 254 00:13:19,965 --> 00:13:22,902 And it's not one patient, it's many patients. 255 00:13:23,636 --> 00:13:25,604 We're not ready for COVID. 256 00:13:26,305 --> 00:13:29,975 I dealt with a couple of patients, 257 00:13:30,009 --> 00:13:31,977 and then I got COVID. 258 00:13:33,679 --> 00:13:36,315 And my children got COVID. 259 00:13:39,218 --> 00:13:41,987 I am a Brooklyn girl, born and raised. 260 00:13:42,021 --> 00:13:45,357 I moved to Manhattan and that's where I began my nursing career. 261 00:13:45,391 --> 00:13:49,395 I have five wonderful children, four girls and a prince, 262 00:13:50,429 --> 00:13:53,365 and it made this so much more real. 263 00:13:53,399 --> 00:13:58,304 I think I was scared for myself because of my history of cancer. 264 00:13:58,337 --> 00:14:00,673 I'm a survivor now of five years, 265 00:14:00,706 --> 00:14:03,475 so I think a lot of the skills that I learned 266 00:14:03,509 --> 00:14:05,344 during the cancer... 267 00:14:05,711 --> 00:14:08,380 is helping me cope with this a little bit better. 268 00:14:09,415 --> 00:14:13,485 I was out of work for 11 days, and the whole time, 269 00:14:13,519 --> 00:14:16,288 hearing from my colleagues on a daily basis 270 00:14:16,322 --> 00:14:18,357 of what was going on there. 271 00:14:18,390 --> 00:14:21,560 And, um, I felt guilty that I wasn't there with them. 272 00:14:22,595 --> 00:14:25,364 I feel blessed that I got through it. 273 00:14:25,397 --> 00:14:28,434 I feel like I was a survivor again. 274 00:14:30,703 --> 00:14:32,671 Finally, in the beginning of April, 275 00:14:32,705 --> 00:14:34,373 I went back. 276 00:14:35,241 --> 00:14:37,676 And it was just... thrown right into it. 277 00:14:39,144 --> 00:14:42,248 There were makeshift ICUs throughout the hospital. 278 00:14:42,281 --> 00:14:46,518 COVID units were made in numerous areas of the hospital 279 00:14:46,552 --> 00:14:49,088 to try and just... 280 00:14:49,121 --> 00:14:50,689 deal with the, the load. 281 00:14:56,395 --> 00:15:00,065 - On a bad day, up to four intubated patients... 282 00:15:00,099 --> 00:15:03,235 patients on medicines that are keeping their blood pressure up, 283 00:15:03,269 --> 00:15:06,672 keeping them alive, basically having them on life support, 284 00:15:06,705 --> 00:15:10,676 and you're talking about within a 24 to 48 hour period, 285 00:15:10,709 --> 00:15:13,279 almost your entire emergency department is, 286 00:15:13,312 --> 00:15:15,981 is full of those kind of patients. 287 00:15:16,015 --> 00:15:18,417 It shook all of us to our core. 288 00:15:19,585 --> 00:15:22,121 - We were running out of room fast. 289 00:15:22,154 --> 00:15:24,623 - It was the volume, it was the acuity, 290 00:15:24,657 --> 00:15:27,092 these people were so sick. 291 00:15:27,126 --> 00:15:30,396 - The standards that we were used to of making sure our patients 292 00:15:30,429 --> 00:15:33,766 were bathed and turned and comfortable were kind of thrown 293 00:15:33,799 --> 00:15:37,136 out the window, it was just, "Keep these patients alive for 294 00:15:37,169 --> 00:15:40,072 your 12-hour shift so that you can go home, 295 00:15:40,105 --> 00:15:43,375 sleep, and, and come back and do it all over again." 296 00:15:43,409 --> 00:15:45,311 - You're wondering which ones are gonna do well, 297 00:15:45,344 --> 00:15:47,079 which ones aren't going to do well, 298 00:15:47,112 --> 00:15:49,448 which ones are gonna qualify for some of the protocols, 299 00:15:49,481 --> 00:15:50,616 which ones aren't going to... 300 00:15:50,649 --> 00:15:53,252 and we really don't have an answer. 301 00:15:53,285 --> 00:15:55,487 We still don't fully understand this virus, 302 00:15:55,521 --> 00:15:58,190 and it's taking characteristics over time 303 00:15:58,223 --> 00:16:01,260 that we're learning more about, something else pops up. 304 00:16:01,293 --> 00:16:05,264 - It was like a crash course in ICU nursing for me, 305 00:16:05,297 --> 00:16:08,167 but for a lot of my peers, 306 00:16:08,200 --> 00:16:11,136 it was a crash course in bedside nursing. 307 00:16:12,404 --> 00:16:15,140 Our patient load was double to triple. 308 00:16:15,174 --> 00:16:19,445 This is the most hardworking, smartest group of doctors 309 00:16:19,478 --> 00:16:22,281 I've been around, but they're exhausted, 310 00:16:22,314 --> 00:16:24,149 utterly exhausted. 311 00:16:29,688 --> 00:16:31,523 We were tired. 312 00:16:31,557 --> 00:16:34,059 I had never... 313 00:16:34,093 --> 00:16:37,563 seen so many sick patients before. 314 00:16:40,366 --> 00:16:41,500 It wears on ya. 315 00:16:41,533 --> 00:16:42,534 Um... 316 00:16:42,568 --> 00:16:44,503 I would, you know, get dressed in the morning, 317 00:16:44,536 --> 00:16:46,271 go to work, change into my scrubs, 318 00:16:46,305 --> 00:16:48,173 and, and be ready to go. 319 00:16:48,207 --> 00:16:50,376 But now, there's a whole routine. 320 00:16:50,409 --> 00:16:52,378 I get to work, I have to change, 321 00:16:52,411 --> 00:16:54,713 I make sure that my clean clothes are put away 322 00:16:54,747 --> 00:16:57,616 so that I can wear them out clean when I go home. 323 00:16:57,649 --> 00:16:59,818 You gotta, you know, get on your PPE, 324 00:16:59,852 --> 00:17:01,653 wear your face mask, your hairnet, 325 00:17:01,687 --> 00:17:03,722 your shoe covers. 326 00:17:04,790 --> 00:17:07,292 So I was in my room when I heard, 327 00:17:07,326 --> 00:17:10,696 like, a lot of noise and commotion in the hallway. 328 00:17:12,231 --> 00:17:14,400 I came in and one girl told me that 329 00:17:14,433 --> 00:17:17,736 one of the girls is put in there and she's crying. 330 00:17:17,770 --> 00:17:20,839 You know, she doesn't want to be in there because she's scared. 331 00:17:21,407 --> 00:17:23,509 So I went to the managers and I said, 332 00:17:23,542 --> 00:17:25,210 "I wouldn't mind." 333 00:17:25,244 --> 00:17:27,880 And the manager said, "No, her name is first." 334 00:17:27,913 --> 00:17:30,349 So I'm like, "I wouldn't mind doing it. 335 00:17:30,382 --> 00:17:32,885 And maybe, if I do it, she will get the courage 336 00:17:32,918 --> 00:17:34,520 to do it the next time." 337 00:17:35,254 --> 00:17:38,390 - It's not... it becomes not about me anymore. 338 00:17:38,424 --> 00:17:41,527 I can take care of however many people, you know? 339 00:17:41,560 --> 00:17:43,128 And... 340 00:17:43,162 --> 00:17:45,831 if I'm not there, who else is gonna do it, right? 341 00:17:45,864 --> 00:17:48,734 And I think all of my co-workers felt that way, you know? 342 00:17:48,767 --> 00:17:51,370 It's just, like, we have to be there. 343 00:17:51,403 --> 00:17:52,738 They need us. 344 00:17:58,644 --> 00:18:00,712 Medical professionals on the frontlines 345 00:18:00,746 --> 00:18:04,249 of the coronavirus crisis in America are facing a shortage of 346 00:18:04,283 --> 00:18:06,251 personal protective equipment. 347 00:18:06,285 --> 00:18:09,922 The demand for these medical supplies is especially high in 348 00:18:09,955 --> 00:18:14,493 New York City, the epicenter of America's coronavirus crisis. 349 00:18:18,297 --> 00:18:22,234 I became a nurse in the '80s during the AIDS epidemic, 350 00:18:22,267 --> 00:18:24,236 and I worked in Manhattan. 351 00:18:24,269 --> 00:18:27,406 And I remember all the isolation and, 352 00:18:27,439 --> 00:18:30,242 and, and the gowns. 353 00:18:30,275 --> 00:18:32,578 But it was nothing to the level this is. 354 00:18:32,611 --> 00:18:34,613 Nothing could have prepared us. 355 00:18:34,646 --> 00:18:38,784 - It would take maybe five to seven days before we'd actually 356 00:18:38,817 --> 00:18:41,954 get an official positive or negative result, 357 00:18:41,987 --> 00:18:45,524 so in that time, we had to treat them as if they were positive. 358 00:18:46,358 --> 00:18:49,328 It turned out that a lot of those patients were negative, 359 00:18:49,361 --> 00:18:51,964 and we've gone through thousands of N95 masks. 360 00:18:51,997 --> 00:18:53,932 And then, we started getting the positives 361 00:18:53,966 --> 00:18:56,268 and we were low on PPE. 362 00:18:56,301 --> 00:19:00,439 - So when we got our N95s, we were told to hold onto them 363 00:19:00,472 --> 00:19:04,276 until they were broken or visibly soiled, 364 00:19:04,309 --> 00:19:05,777 which was very different from everything 365 00:19:05,811 --> 00:19:07,946 you've ever learned in medicine. 366 00:19:07,980 --> 00:19:11,650 - The first policy change was "surgical masks are good for 367 00:19:11,683 --> 00:19:15,687 four hours, N95s are good for a whole day." 368 00:19:15,721 --> 00:19:18,657 We didn't understand how are we keeping our patients safe if 369 00:19:18,690 --> 00:19:20,993 the masks that I'm wearing in one room, 370 00:19:21,026 --> 00:19:24,530 I'm wearing again in the next room for four hours straight. 371 00:19:24,563 --> 00:19:27,833 - I was wearing PPE, but still, in the back of your head, 372 00:19:27,866 --> 00:19:31,336 you wonder "Is that enough? 373 00:19:31,370 --> 00:19:32,971 Are the people I love safe? 374 00:19:33,005 --> 00:19:34,806 Is my family safe?" 375 00:19:34,840 --> 00:19:38,977 And I remember, at that point, knowing I couldn't go home. 376 00:19:39,011 --> 00:19:41,880 - I think we all knew by that time that the virus itself 377 00:19:41,914 --> 00:19:46,385 is actually smaller than the filter diameter on the N95s, 378 00:19:46,418 --> 00:19:49,821 and the nature of the N95 just means it filters out 90% 379 00:19:49,855 --> 00:19:54,293 of particles of a certain size and above. 380 00:19:54,560 --> 00:19:56,562 Truth be told, I certainly didn't feel 100% 381 00:19:56,595 --> 00:19:59,031 confident in that level of protection. 382 00:19:59,064 --> 00:20:01,900 - And I called home and said, "I, I don't know when, 383 00:20:01,934 --> 00:20:04,870 but I can't come home anymore." 384 00:20:05,437 --> 00:20:08,840 I did five night shifts at one of our hospitals. 385 00:20:08,874 --> 00:20:13,345 We must have intubated and put on life support at least 386 00:20:13,378 --> 00:20:17,049 30 to 40% of the patients who walked through the door. 387 00:20:17,082 --> 00:20:21,687 During that five-day period, I realized I was scared to death 388 00:20:21,720 --> 00:20:23,855 of getting anybody else sick around me, 389 00:20:23,889 --> 00:20:26,858 because we didn't know and we still don't know so much 390 00:20:26,892 --> 00:20:28,694 about this disease. 391 00:20:28,727 --> 00:20:33,865 - Eventually, N95s were a week, surgical masks were a day. 392 00:20:33,899 --> 00:20:37,402 Then, N95s were indefinitely. 393 00:20:37,436 --> 00:20:40,405 - So it's something that you would never even think of before 394 00:20:40,439 --> 00:20:43,609 this, and now, it was something that you had with you 395 00:20:43,642 --> 00:20:46,712 at all times and you knew where your N95 was. 396 00:20:46,745 --> 00:20:48,547 Our hospital didn't have enough, 397 00:20:48,580 --> 00:20:50,882 and they still don't have enough. 398 00:20:50,916 --> 00:20:54,953 - Now, we're collecting them so that they can be decontaminated 399 00:20:54,987 --> 00:20:59,424 and perhaps used in the future if we need them again because 400 00:20:59,458 --> 00:21:01,593 you can't find them anywhere. 401 00:21:02,527 --> 00:21:04,963 Can you imagine the nurses who leave 402 00:21:04,997 --> 00:21:10,002 their homes in the morning, who kiss their children goodbye, 403 00:21:10,969 --> 00:21:15,774 go to a hospital, deal with people who have the coronavirus? 404 00:21:17,142 --> 00:21:21,079 They're worried and they're going out there every day, 405 00:21:21,113 --> 00:21:23,115 despite their fear. 406 00:21:23,148 --> 00:21:25,484 And not for their family, 407 00:21:25,517 --> 00:21:28,453 they're doing it for your family. 408 00:21:30,389 --> 00:21:35,494 - You know, we took this on, we made this choice to take on 409 00:21:35,527 --> 00:21:39,464 this profession and whatever comes with that. 410 00:21:39,498 --> 00:21:42,100 Our children didn't. Our families didn't. 411 00:21:42,134 --> 00:21:45,937 - I just kept thinking, "I have to, I have to remove myself 412 00:21:45,971 --> 00:21:48,840 from them or I have to get them to a safe place. 413 00:21:48,874 --> 00:21:51,610 This is, this is really bad." 414 00:21:51,643 --> 00:21:55,480 And it meant sending my husband and kids and my in-laws... 415 00:21:55,514 --> 00:21:58,116 who wonderfully live in the same building we do... 416 00:21:58,150 --> 00:21:59,985 um, sending them away. 417 00:22:01,553 --> 00:22:06,958 - This is the first time that I can think of in history where 418 00:22:06,992 --> 00:22:09,027 the danger is brought home. 419 00:22:09,061 --> 00:22:11,963 I have a son in, in the Army. 420 00:22:11,997 --> 00:22:14,466 It's, again, a risk, 421 00:22:14,499 --> 00:22:18,136 but that stays on the battlefield. 422 00:22:18,170 --> 00:22:20,672 We're bringing this home to our families, 423 00:22:20,706 --> 00:22:24,509 and we've never had to deal with that. 424 00:22:25,711 --> 00:22:28,980 - I decided to live in the hotel 425 00:22:29,014 --> 00:22:31,917 and go home only on my last day. 426 00:22:32,584 --> 00:22:33,752 I go to the hotel, 427 00:22:33,785 --> 00:22:36,655 bathe, change everything, and my husband will pick me up, 428 00:22:36,688 --> 00:22:38,790 and then I'll go home for my days off. 429 00:22:38,824 --> 00:22:42,894 And then, I do the same thing again the following week. 430 00:22:45,831 --> 00:22:46,665 - Mommy! 431 00:22:46,698 --> 00:22:47,599 Yes! 432 00:22:47,632 --> 00:22:48,333 - Mommy! 433 00:22:48,367 --> 00:22:50,168 Yes, you want a hand? 434 00:22:51,236 --> 00:22:52,204 Okay! 435 00:22:52,237 --> 00:22:54,606 One, two, three! 436 00:22:54,840 --> 00:22:57,743 The first couple of weeks that I was working in the hospital, 437 00:22:57,776 --> 00:23:01,446 I had so much anxiety that I would kill my family. 438 00:23:01,480 --> 00:23:03,448 And I have a toddler, you know? 439 00:23:03,482 --> 00:23:05,183 She's so innocent. 440 00:23:05,217 --> 00:23:08,220 And every single day that I walk home from work, 441 00:23:08,253 --> 00:23:10,555 that little girl runs up and hugs me, 442 00:23:10,589 --> 00:23:12,224 like, all over my body. 443 00:23:12,257 --> 00:23:15,026 And she gives open-mouth kisses and, 444 00:23:15,060 --> 00:23:17,095 like, you know, she's licked my face. 445 00:23:17,129 --> 00:23:20,432 All the, all the gross little two-year-old things. 446 00:23:20,766 --> 00:23:25,470 I strip on our front porch and literally nothing from 447 00:23:25,504 --> 00:23:28,707 the hospital goes into our house. 448 00:23:30,642 --> 00:23:32,577 - No matter what happened during the day, 449 00:23:32,611 --> 00:23:35,113 she gets in the tub, we play with her ducks, 450 00:23:35,147 --> 00:23:36,715 we play with the fish... 451 00:23:36,748 --> 00:23:38,850 and I just have to be a regular-old mom, 452 00:23:38,884 --> 00:23:41,086 which is the best. 453 00:23:41,620 --> 00:23:42,988 My kids are my peace. 454 00:23:43,021 --> 00:23:46,525 I do everything I do in this life for them. 455 00:23:46,558 --> 00:23:48,860 I, I said to myself at the start of this, 456 00:23:48,894 --> 00:23:50,996 this is my job and if I get sick, 457 00:23:51,029 --> 00:23:53,064 that's one thing, I'll deal with it. 458 00:23:53,098 --> 00:23:57,102 But I, I couldn't deal with harming my, my own family. 459 00:24:00,272 --> 00:24:03,241 - The day I kissed my kids goodbye, 460 00:24:03,275 --> 00:24:04,743 I... it's... I, 461 00:24:04,776 --> 00:24:07,612 I almost can't say it out loud but I, um... 462 00:24:07,646 --> 00:24:10,515 I definitely... 463 00:24:11,116 --> 00:24:13,618 thought, um, that might be the last time 464 00:24:13,652 --> 00:24:15,987 I was ever seeing them again. 465 00:24:16,321 --> 00:24:20,091 Uh, and that, that is probably my lowest low 466 00:24:20,125 --> 00:24:22,093 and my greatest fear, 467 00:24:22,127 --> 00:24:24,229 is leaving my family behind. 468 00:24:27,666 --> 00:24:30,902 I had no idea that it would come here like this. 469 00:24:30,936 --> 00:24:33,171 I don't think anyone could. 470 00:24:33,205 --> 00:24:34,673 I, I'm still in shock. 471 00:24:34,706 --> 00:24:37,142 I think all of us are still in shock. 472 00:24:38,176 --> 00:24:39,878 - There's this novel virus. 473 00:24:39,911 --> 00:24:43,815 We don't know how contagious or deadly it is or why it's 474 00:24:43,849 --> 00:24:47,285 affecting people a certain way and why it's being, 475 00:24:47,319 --> 00:24:49,988 you know, asymptomatic in other people. 476 00:24:50,021 --> 00:24:54,559 Just the unknown factor created a lot of fear for us. 477 00:24:55,760 --> 00:24:58,663 - Early into this, I started writing things down 478 00:24:58,697 --> 00:25:00,532 in my journal. 479 00:25:01,233 --> 00:25:03,001 I go back and look through it 480 00:25:03,034 --> 00:25:05,837 and every entry I wrote, it kinda seemed like, 481 00:25:05,871 --> 00:25:08,573 "Okay, this is our peak, this is how bad it is. 482 00:25:08,607 --> 00:25:10,575 Look, it's finally gotten here." 483 00:25:10,609 --> 00:25:14,145 And then, I write another entry and it's even worse 484 00:25:14,179 --> 00:25:15,213 and even worse. 485 00:25:15,247 --> 00:25:19,050 - You saw the ranges of severity with the patients 486 00:25:19,084 --> 00:25:23,121 that were coming in, and they were, you know... 487 00:25:23,154 --> 00:25:25,323 yes, there were old people who were coming in 488 00:25:25,357 --> 00:25:26,291 and they were near-death, 489 00:25:26,324 --> 00:25:28,260 but there were also young people who were 490 00:25:28,293 --> 00:25:29,461 coming in who were near-death. 491 00:25:29,494 --> 00:25:32,831 - I have a 93-year-old woman who came into my practice who 492 00:25:32,864 --> 00:25:35,867 has been home ever since this started. 493 00:25:35,901 --> 00:25:39,037 She came to my office and said, "I want to be tested and 494 00:25:39,070 --> 00:25:40,972 I want to see if I have antibodies, 495 00:25:41,006 --> 00:25:43,708 because if I do, I would like to donate my antibodies 496 00:25:43,742 --> 00:25:45,010 to help people." 497 00:25:45,043 --> 00:25:48,813 And what we found out is that she indeed 498 00:25:48,847 --> 00:25:50,181 had had the virus. 499 00:25:50,215 --> 00:25:54,719 And she had it right then... also. 500 00:25:54,753 --> 00:25:57,756 So she was developing the two types of antibodies 501 00:25:57,789 --> 00:25:59,257 that we develop. 502 00:25:59,291 --> 00:26:01,359 Didn't have one symptom. 503 00:26:01,393 --> 00:26:03,361 She has so many comorbidities. 504 00:26:03,395 --> 00:26:07,032 And then, I have people that are in their twenties and 505 00:26:07,065 --> 00:26:09,401 in the hospital and just... 506 00:26:09,434 --> 00:26:11,770 near death's door. 507 00:26:13,738 --> 00:26:16,942 - What made me the most nervous was the fact that 508 00:26:16,975 --> 00:26:19,277 these brilliant doctors that I work for, 509 00:26:19,311 --> 00:26:21,212 you know, day in and day out and, 510 00:26:21,246 --> 00:26:25,750 um, the team that I was, uh, working with, 511 00:26:25,784 --> 00:26:30,655 I think we were all scared and we all didn't really know 512 00:26:30,689 --> 00:26:31,957 how to approach it. 513 00:26:31,990 --> 00:26:33,959 - We were starting to see our colleagues, 514 00:26:33,992 --> 00:26:38,330 um, and the nurses and doctors throughout the city 515 00:26:38,363 --> 00:26:42,901 who were becoming patients due to this virus, 516 00:26:42,934 --> 00:26:46,838 so we knew that, like, we weren't invincible ourselves. 517 00:26:48,173 --> 00:26:50,442 And I wrote, "This is, this is bad, 518 00:26:50,475 --> 00:26:52,143 they're increasing their age limit." 519 00:26:52,177 --> 00:26:54,779 But each time one of these changes happened, 520 00:26:54,813 --> 00:26:56,815 I wrote this journal entry, like, 521 00:26:56,848 --> 00:26:59,818 "This is it, we're here, this is the peak of COVID," 522 00:26:59,851 --> 00:27:02,287 and then, just the next thing. 523 00:27:02,320 --> 00:27:04,422 - There was no training... not in medical school, 524 00:27:04,456 --> 00:27:09,160 not in residency, not in fellowship... for what I termed, 525 00:27:09,194 --> 00:27:12,163 uh, before as a "mass casualty event" 526 00:27:12,197 --> 00:27:14,265 that doesn't happen at once. 527 00:27:14,299 --> 00:27:16,768 You have two or three patients today, 528 00:27:16,801 --> 00:27:19,137 five patients the next day, seven, 529 00:27:19,170 --> 00:27:22,007 then 10, then 20, then 50. 530 00:27:22,040 --> 00:27:25,810 Um, and it doesn't stop and you don't know when it's gonna stop. 531 00:27:26,044 --> 00:27:31,049 - As ICU nurses, we, we kinda strive on being challenged, 532 00:27:32,217 --> 00:27:34,853 but the emotional aspect, we were not ready for. 533 00:27:35,887 --> 00:27:39,190 We take a patient and we do everything for that patient. 534 00:27:39,224 --> 00:27:40,959 All levels, we deal with. 535 00:27:40,992 --> 00:27:44,462 From the care to the families to education... 536 00:27:44,496 --> 00:27:47,032 Um, we weren't able to do that this time. 537 00:28:02,347 --> 00:28:04,049 In terms of lives lost, 538 00:28:04,082 --> 00:28:10,855 that this situation should exceed 9/11 is still beyond 539 00:28:10,889 --> 00:28:14,059 my capacity to fully appreciate, to tell you the truth. 540 00:28:14,092 --> 00:28:17,162 Medical staff struggle to keep people alive. 541 00:28:17,195 --> 00:28:22,867 In one 24-hour period, 13 people died from COVID-19. 542 00:28:22,901 --> 00:28:24,502 The crisis in New York 543 00:28:24,536 --> 00:28:26,171 reaching a critical mass. 544 00:28:26,204 --> 00:28:29,007 Paramedics now empowered to make life and death decisions 545 00:28:29,040 --> 00:28:31,743 that were once considered unthinkable. 546 00:28:32,410 --> 00:28:34,345 The planning starts from the moment 547 00:28:34,379 --> 00:28:35,313 you wake up. 548 00:28:35,346 --> 00:28:37,348 You grab your clothes, you're in your car, 549 00:28:37,382 --> 00:28:39,851 you, you know, grab whatever it is to drink, 550 00:28:39,884 --> 00:28:41,853 sometimes you get there, you're parking your car, 551 00:28:41,886 --> 00:28:44,556 and you don't remember if you passed any red lights or not, 552 00:28:44,589 --> 00:28:45,423 you know? 553 00:28:45,457 --> 00:28:47,826 Because your mind is somewhere else. 554 00:28:48,893 --> 00:28:52,564 It's affecting all hospitals and it's on the news 555 00:28:52,597 --> 00:28:57,535 and it's, it's spreading and it's, it's spreading fast and 556 00:28:57,569 --> 00:28:59,571 these people will keep coming in. 557 00:28:59,604 --> 00:29:04,275 And there was many times where it may have been the family's 558 00:29:04,309 --> 00:29:07,378 last time seeing the patient as they dropped them off, 559 00:29:07,412 --> 00:29:12,250 and a lot of the times, it was also patients who were dying 560 00:29:12,484 --> 00:29:15,120 up front and we had to rush them back. 561 00:29:16,421 --> 00:29:18,823 - When somebody comes in in respiratory distress, 562 00:29:18,857 --> 00:29:23,194 meaning their oxygen levels are anywhere below 90%, 563 00:29:23,228 --> 00:29:25,964 the first thing we'll try is just putting a little 564 00:29:25,997 --> 00:29:28,066 two-pronged nasal cannula on you and giving you 565 00:29:28,099 --> 00:29:30,201 a little bit of oxygen. 566 00:29:30,235 --> 00:29:32,003 - They'd come in and you'd see that, 567 00:29:32,036 --> 00:29:34,606 you know, maybe their fingertips were blue or 568 00:29:34,639 --> 00:29:36,574 they had this grey color to them. 569 00:29:36,608 --> 00:29:38,910 Then, you had those other people that came in 570 00:29:38,943 --> 00:29:40,111 and they were starving for air. 571 00:29:40,145 --> 00:29:43,181 - If they need more than that, we'll go and put a full... 572 00:29:43,214 --> 00:29:44,449 what we call "non-rebreather mask" on. 573 00:29:44,482 --> 00:29:47,952 It covers their nose and their face and it allows us to give 574 00:29:47,986 --> 00:29:50,588 them a higher concentration of oxygen. 575 00:29:51,489 --> 00:29:54,092 When that doesn't work, you have a couple of 576 00:29:54,125 --> 00:29:55,493 tools in your toolkit. 577 00:29:55,527 --> 00:29:58,229 One is called "CPAP" or "BiPAP", 578 00:29:58,263 --> 00:30:01,132 and that's a mask with a seal on it, 579 00:30:01,166 --> 00:30:04,002 and that gives you air with pressure. 580 00:30:04,035 --> 00:30:07,238 That type of respiratory support has be shown to 581 00:30:07,272 --> 00:30:10,308 aerosolize the virus immensely. 582 00:30:10,642 --> 00:30:12,944 The other type of intervention is something called 583 00:30:12,977 --> 00:30:15,113 "high-flow oxygen" and that, too, 584 00:30:15,146 --> 00:30:18,149 is a highly-aerosolizing intervention. 585 00:30:19,217 --> 00:30:22,954 Two of the things that we try our best to use to allow us to 586 00:30:22,987 --> 00:30:25,990 not have to intubate somebody, allow us to not put somebody in 587 00:30:26,024 --> 00:30:30,461 a medically-induced coma, we did not have at our disposal early 588 00:30:30,495 --> 00:30:34,532 on because of the great fear of aerosolizing the virus. 589 00:30:36,701 --> 00:30:38,336 Startling new numbers 590 00:30:38,369 --> 00:30:40,104 from the New York City Health Department 591 00:30:40,138 --> 00:30:43,975 showing a 110% increase in coronavirus deaths 592 00:30:44,008 --> 00:30:46,044 just in the past 36 hours. 593 00:30:46,077 --> 00:30:48,313 Authorities are also considering whether 594 00:30:48,346 --> 00:30:51,382 to use Manhattan hotels to help treat the sick. 595 00:30:51,416 --> 00:30:52,984 The healthcare workers in 596 00:30:53,017 --> 00:30:54,986 coronavirus hotspots are exhausted. 597 00:30:55,019 --> 00:30:57,555 Hundreds are sick themselves. 598 00:31:02,527 --> 00:31:04,596 - I try and put things together: 599 00:31:04,629 --> 00:31:06,664 How many patients were admitted the night before? 600 00:31:06,698 --> 00:31:08,600 Um, how many patients were in isolation? 601 00:31:08,633 --> 00:31:10,568 How many required ventilators? 602 00:31:10,602 --> 00:31:13,338 Um, how many patients we lost? 603 00:31:13,371 --> 00:31:15,039 - They have feeding tubes. 604 00:31:15,073 --> 00:31:16,307 You're cleaning them. 605 00:31:16,341 --> 00:31:18,276 And they go to the bathroom a lot. 606 00:31:18,309 --> 00:31:21,246 We are turning them so that they don't get bedsores. 607 00:31:21,713 --> 00:31:23,581 - A bedsore is terrible. 608 00:31:23,615 --> 00:31:25,516 A central line infection is terrible. 609 00:31:25,550 --> 00:31:28,953 But that's not this patient's biggest issue and we need to 610 00:31:28,987 --> 00:31:31,689 keep them alive at the end of the 12-hour shift, 611 00:31:31,723 --> 00:31:33,591 and I need to keep myself healthy 612 00:31:33,625 --> 00:31:35,727 so I can keep helping people. 613 00:31:35,760 --> 00:31:39,030 We started with the focus being pneumonia, 614 00:31:39,063 --> 00:31:41,366 then we went into coagulation. 615 00:31:41,399 --> 00:31:46,404 It's just so evolving and we're trying to keep up with that. 616 00:31:47,672 --> 00:31:52,410 - The whole 13 hours, there's no rest until you go on lunch. 617 00:31:52,443 --> 00:31:55,647 And if you go on lunch, you don't even feel like eating. 618 00:32:02,420 --> 00:32:05,990 - We're all experimenting with different medications that 619 00:32:06,024 --> 00:32:09,394 the FDA approves and then changes over time. 620 00:32:09,427 --> 00:32:13,131 Some of them are helpful, some of them not so much. 621 00:32:14,432 --> 00:32:18,236 - We've had some people in their twenties on ventilators 622 00:32:18,269 --> 00:32:21,005 and it really hits home and it's scary. 623 00:32:21,039 --> 00:32:22,774 You don't have a magic bullet. 624 00:32:22,807 --> 00:32:25,410 You don't tell that first person that, 625 00:32:25,443 --> 00:32:27,679 "Don't worry, you're going to do well," because 626 00:32:27,712 --> 00:32:30,248 we don't know that they are or that they won't. 627 00:32:30,782 --> 00:32:34,118 A rare syndrome in children linked to COVID-19. 628 00:32:34,152 --> 00:32:37,655 New York State just revealed 64 children now have it. 629 00:32:37,689 --> 00:32:39,424 64 children, 630 00:32:39,457 --> 00:32:41,559 coming as a surprise, I'm told, 631 00:32:41,592 --> 00:32:46,597 even to some senior State Health Department officials. 632 00:32:46,631 --> 00:32:49,667 - This kid was just over a week old and 633 00:32:49,701 --> 00:32:51,336 these were brand-new parents. 634 00:32:52,203 --> 00:32:55,173 We were all very surprised by it because there was 635 00:32:55,206 --> 00:32:58,142 no sick contacts, they hadn't left the house. 636 00:32:58,176 --> 00:33:00,778 They were like, "H... how did he get it? 637 00:33:00,812 --> 00:33:03,781 Where did he get it from?" 638 00:33:03,815 --> 00:33:07,318 And then, they wanted to know if they were safe holding the baby. 639 00:33:07,352 --> 00:33:08,353 Did they have it? 640 00:33:08,386 --> 00:33:10,054 Could we test them? 641 00:33:10,088 --> 00:33:12,123 And she was like, "Well, what can happen?" 642 00:33:12,156 --> 00:33:15,560 And standing there and feeling... 643 00:33:15,593 --> 00:33:17,428 scared too and trying not 644 00:33:17,462 --> 00:33:21,699 to portray that to her, but I, I had no idea. 645 00:33:22,200 --> 00:33:25,436 To be the physician who's supposed to give guidance and, 646 00:33:25,470 --> 00:33:30,708 and help and to just stand there and say "I don't know" was... 647 00:33:31,209 --> 00:33:33,277 not a good feeling. 648 00:33:34,379 --> 00:33:36,481 I know what it's like to be the family 649 00:33:36,514 --> 00:33:37,849 and not understand what's going on 650 00:33:37,882 --> 00:33:39,784 and have a thousand questions when the doctor 651 00:33:39,817 --> 00:33:43,354 comes in for what seemed like 30 seconds. 652 00:33:45,189 --> 00:33:48,493 My little sister and I have always been extremely close. 653 00:33:48,526 --> 00:33:50,661 Um, the day after her 16th birthday, 654 00:33:50,695 --> 00:33:53,865 she suffered a hypoxic brain injury 655 00:33:53,898 --> 00:33:56,200 where you don't get enough oxygen to your brain. 656 00:33:56,234 --> 00:33:58,736 We spent 14 months as a family in the hospital... 657 00:33:58,770 --> 00:34:02,540 me, my two sisters, and my mom... and we just rotated, 658 00:34:02,573 --> 00:34:04,675 and it's part of what drew me to pediatrics, 659 00:34:04,709 --> 00:34:06,811 and it really shaped who I want to be 660 00:34:06,844 --> 00:34:09,614 and how I want to practice. 661 00:34:10,915 --> 00:34:14,252 In nursing, we have policies and procedures 662 00:34:14,285 --> 00:34:18,423 to prevent any sort of hospital-acquired condition. 663 00:34:18,723 --> 00:34:20,892 That's your job, is to prevent these patients 664 00:34:20,925 --> 00:34:23,361 from getting worse. 665 00:34:23,394 --> 00:34:24,762 With the COVID patients, 666 00:34:24,796 --> 00:34:26,531 that all went out the window. 667 00:34:26,564 --> 00:34:29,534 I was told, "You don't go in there to 668 00:34:29,567 --> 00:34:31,135 turn them every few hours," 669 00:34:31,169 --> 00:34:33,137 which is what we do to prevent bedsores. 670 00:34:33,171 --> 00:34:36,140 "You go in there only when necessary." 671 00:34:36,174 --> 00:34:37,375 There's no emergency 672 00:34:37,408 --> 00:34:38,476 during a pandemic, right? 673 00:34:38,509 --> 00:34:41,379 You see somebody who's in a room behind that plastic 674 00:34:41,412 --> 00:34:42,880 and they need you. 675 00:34:42,914 --> 00:34:45,850 Before this pandemic, I would just open that door and run in. 676 00:34:45,883 --> 00:34:47,351 Now, I'm saying to myself, 677 00:34:47,385 --> 00:34:48,619 "Okay, slow down. 678 00:34:48,653 --> 00:34:49,720 Is my gown on? 679 00:34:49,754 --> 00:34:50,788 My mask on? 680 00:34:50,822 --> 00:34:52,290 My eye shield?" 681 00:34:52,323 --> 00:34:53,424 It was eerie. 682 00:34:53,825 --> 00:34:57,528 - We were trying to deal with the PPE, 683 00:34:57,562 --> 00:34:59,931 which was a new experience for us to this level, 684 00:34:59,964 --> 00:35:03,434 and still render the same level of care. 685 00:35:03,468 --> 00:35:05,703 When you went in these rooms, 686 00:35:05,736 --> 00:35:08,873 which now were plastic zipper rooms, 687 00:35:08,906 --> 00:35:11,876 we tried our best to coordinate our care 688 00:35:11,909 --> 00:35:14,245 so we weren't in and out, in and out. 689 00:35:14,278 --> 00:35:16,714 - We would have patients come in 690 00:35:16,747 --> 00:35:20,485 when they were satting out in the field at 50 or 60%... 691 00:35:20,518 --> 00:35:22,453 and I'm talking about a normal oxygen saturation 692 00:35:22,487 --> 00:35:24,922 being really 94 and above... 693 00:35:24,956 --> 00:35:27,959 so these were profound levels of hypoxia. 694 00:35:27,992 --> 00:35:30,828 And if they didn't come up to 90 or, 695 00:35:30,862 --> 00:35:33,931 you know, 88 to 90, 92, 696 00:35:33,965 --> 00:35:36,334 we were making the really hard decision 697 00:35:36,367 --> 00:35:38,202 to intubate these patients. 698 00:35:38,836 --> 00:35:42,573 - That was when I had to tell myself, 699 00:35:42,607 --> 00:35:43,774 "This is wartime. 700 00:35:43,808 --> 00:35:45,510 This is... 701 00:35:45,543 --> 00:35:48,646 not a normal situation." 702 00:35:49,347 --> 00:35:51,516 When I say "intubate a patient," 703 00:35:51,549 --> 00:35:54,252 you're talking about paralyzing them, 704 00:35:54,285 --> 00:35:55,253 sedating them 705 00:35:55,286 --> 00:35:57,555 and putting them in a medically-induced coma, 706 00:35:57,588 --> 00:36:00,491 and placing a breathing tube down into their lungs, 707 00:36:00,525 --> 00:36:02,426 and putting them on, on a machine, 708 00:36:02,460 --> 00:36:05,329 and up to 90% of these patients 709 00:36:05,363 --> 00:36:07,465 never can come off a ventilator. 710 00:36:08,900 --> 00:36:10,568 We're listening to their lungs, 711 00:36:10,601 --> 00:36:12,270 we're changing the vent settings 712 00:36:12,303 --> 00:36:14,672 so that we can maximize the air. 713 00:36:14,705 --> 00:36:17,508 Like a balloon, you want to put enough air in to 714 00:36:17,542 --> 00:36:20,711 get it to inflate, but you don't want it to pop. 715 00:36:20,745 --> 00:36:22,346 It was almost as if 716 00:36:22,380 --> 00:36:24,615 these people were trying to die on you, 717 00:36:24,649 --> 00:36:26,250 and it's not their fault. 718 00:36:26,284 --> 00:36:29,520 No matter what we did, we could not oxygenate them. 719 00:36:30,888 --> 00:36:34,358 - There have been patients who are on a ventilator, 720 00:36:34,392 --> 00:36:37,995 comatose, and then their cell phone might, 721 00:36:38,029 --> 00:36:41,999 you know, ding, and they got a text message from someone. 722 00:36:42,033 --> 00:36:44,735 A few days ago, they were a member of society, 723 00:36:44,769 --> 00:36:48,272 walking around, and now, they're on their deathbed. 724 00:36:48,606 --> 00:36:52,009 - For a while, we were proning these patients 725 00:36:52,043 --> 00:36:55,279 who were in very acute respiratory distress, 726 00:36:55,313 --> 00:36:57,348 and it would take four to five people 727 00:36:57,381 --> 00:37:00,484 and we would actually have to take these vented patients 728 00:37:00,518 --> 00:37:03,421 and put them on their bellies facedown, 729 00:37:03,454 --> 00:37:05,923 and it helped with their oxygenation. 730 00:37:07,425 --> 00:37:08,993 - If you've ever turned someone 731 00:37:09,026 --> 00:37:10,928 who is, like, dead weight, it... 732 00:37:10,962 --> 00:37:15,466 I mean, it's very hard and physically difficult, 733 00:37:15,499 --> 00:37:18,703 so we're, like, turning these patients and cleaning them, 734 00:37:18,736 --> 00:37:20,871 so we're drenched in sweat 735 00:37:20,905 --> 00:37:23,474 by the time we get out of the room. 736 00:37:24,675 --> 00:37:27,011 - We have a certain number of negative pressure rooms 737 00:37:27,044 --> 00:37:29,880 in the emergency department which suck air out, 738 00:37:29,914 --> 00:37:32,583 and those types of rooms are very limited, 739 00:37:32,617 --> 00:37:36,787 so you really have to make some hard decisions and basically 740 00:37:36,821 --> 00:37:40,424 decide about rationing those kind of interventions. 741 00:37:40,458 --> 00:37:41,926 - You're not ready for that. 742 00:37:41,959 --> 00:37:44,695 The idea that we may have to make a decision 743 00:37:44,729 --> 00:37:46,097 to take somebody off a ventilator 744 00:37:46,130 --> 00:37:48,566 so we can use it for someone else... 745 00:37:48,599 --> 00:37:51,369 no one's ready for that. 746 00:37:54,438 --> 00:37:55,806 - I think one of the things 747 00:37:55,840 --> 00:37:59,410 that impacted on me most was the sounds. 748 00:37:59,443 --> 00:38:01,445 I don't even know how to describe them. 749 00:38:01,479 --> 00:38:04,949 The numerous, numerous rapid responses, 750 00:38:04,982 --> 00:38:09,587 code 64s, that we would hear all day long, 751 00:38:10,121 --> 00:38:12,456 to the volume we never heard before. 752 00:38:13,124 --> 00:38:15,092 Somebody was crashing. 753 00:38:15,126 --> 00:38:17,928 Another COVID bed needed to be filled. 754 00:38:17,962 --> 00:38:21,365 You'd hear it and you'd just have to keep working. 755 00:38:21,866 --> 00:38:23,768 We hear these vents in our sleep. 756 00:38:23,801 --> 00:38:27,004 All of us can hear these tiny little vent alarms go off 757 00:38:27,038 --> 00:38:29,340 when we're barely paying attention. 758 00:38:30,408 --> 00:38:33,110 So they're just... they're... it's overflowing the hospital. 759 00:38:33,611 --> 00:38:35,513 - There's a problem here, there's a problem there, 760 00:38:35,546 --> 00:38:36,914 we're running out of equipment here, 761 00:38:36,947 --> 00:38:39,450 we don't have enough tests in the emergency room, 762 00:38:39,483 --> 00:38:41,452 um, we're running out of antibiotics, 763 00:38:41,485 --> 00:38:42,753 we're running out of sedatives, 764 00:38:42,787 --> 00:38:44,655 we're running out of paralytics, 765 00:38:44,689 --> 00:38:46,957 we're running out of... 766 00:38:46,991 --> 00:38:48,092 stuff. 767 00:38:48,125 --> 00:38:50,828 The stuff that we need to take care of our patients. 768 00:38:50,861 --> 00:38:52,496 We're running out of staff. 769 00:39:02,206 --> 00:39:05,509 At my hospital, a lot of my co-workers got sick. 770 00:39:06,177 --> 00:39:08,846 We've actually had two, two co-workers of mine 771 00:39:08,879 --> 00:39:10,981 pass away from COVID-19: 772 00:39:11,015 --> 00:39:12,850 One nurse and one nursing assistant. 773 00:39:12,883 --> 00:39:14,785 The nurse who passed away, I knew well 774 00:39:14,819 --> 00:39:17,822 and I worked with him in the emergency room. 775 00:39:17,855 --> 00:39:20,624 He was in his early fourties, had children. 776 00:39:20,658 --> 00:39:21,926 He fought for his life. 777 00:39:21,959 --> 00:39:23,694 I remember the day that he passed, 778 00:39:23,728 --> 00:39:25,696 I was working in the emergency room, 779 00:39:25,730 --> 00:39:27,665 and, and, and the news made its way 780 00:39:27,698 --> 00:39:29,533 downstairs from the ICU that 781 00:39:29,567 --> 00:39:31,535 our friend had passed away. 782 00:39:32,903 --> 00:39:36,006 That was the one day I went home and cried after work. 783 00:39:36,040 --> 00:39:37,908 Um... 784 00:39:37,942 --> 00:39:41,912 it was just... it was like the wind was taken out of our sails. 785 00:39:44,582 --> 00:39:46,450 That day stunk. 786 00:39:49,754 --> 00:39:51,856 - There's a lot of catastrophe all around us, 787 00:39:51,889 --> 00:39:55,526 there's a lot of death and dying around us, 788 00:39:55,559 --> 00:39:59,430 and there's a lot of isolation that we're just sitting in. 789 00:40:02,733 --> 00:40:04,969 And you go home... 790 00:40:06,570 --> 00:40:09,206 and you think... 791 00:40:11,609 --> 00:40:14,078 "Maybe tomorrow won't be so bad." 792 00:40:19,650 --> 00:40:23,621 - As we are trying to get ready for the body, 793 00:40:23,654 --> 00:40:26,223 I realize that I was so overwhelmed, 794 00:40:26,257 --> 00:40:29,059 I, I didn't even finish feeding one of my patients. 795 00:40:29,093 --> 00:40:31,462 So I went in, fed him... 796 00:40:31,662 --> 00:40:34,765 and then went to get my vital signs machine 797 00:40:34,799 --> 00:40:36,767 to take his vital signs. 798 00:40:36,801 --> 00:40:41,272 So I went in, tried to take his blood pressure, 799 00:40:41,305 --> 00:40:43,974 and then the blood pressure keeps, 800 00:40:44,008 --> 00:40:45,142 like, making noise. 801 00:40:45,176 --> 00:40:47,611 Like, pim-pim, pim-pim. 802 00:40:47,645 --> 00:40:52,249 And then, the nurse over in tha section walk around and came in 803 00:40:52,283 --> 00:40:54,585 and, and heard the, you know, the noise. 804 00:40:54,618 --> 00:40:57,621 So she walked in and she's like... 805 00:40:57,655 --> 00:41:00,157 "But he's dead." 806 00:41:04,328 --> 00:41:06,030 - When we're giving post-mortem care, 807 00:41:06,063 --> 00:41:08,632 you know, do we have to double-bag the patient, right? 808 00:41:08,666 --> 00:41:10,534 Or single-bag them? 809 00:41:10,568 --> 00:41:13,170 Um, what do we do with their personal belongings? 810 00:41:13,737 --> 00:41:17,708 We send them downstairs to the morgue and the morgue got full, 811 00:41:17,741 --> 00:41:21,045 so they had to bring in a refrigerator truck. 812 00:41:21,679 --> 00:41:25,182 And they literally were having to put these, these people 813 00:41:25,216 --> 00:41:28,519 in this refrigerator truck because our morgue was full. 814 00:41:30,221 --> 00:41:32,022 So then, I have three patients 815 00:41:32,056 --> 00:41:35,125 out of the seven patients dead. 816 00:41:35,159 --> 00:41:37,828 It was tough. 817 00:41:37,862 --> 00:41:41,866 But what really struck me was, um... 818 00:41:41,899 --> 00:41:45,302 the last one had, uh, belongings, 819 00:41:45,336 --> 00:41:49,139 so the lady who transport the body said she cannot take the, 820 00:41:49,173 --> 00:41:53,043 the belongings with the patient. 821 00:41:53,077 --> 00:41:57,248 Her words was, "Oh, his son said keep it with the body because 822 00:41:57,281 --> 00:41:58,883 he's gonna burn the whole thing, 823 00:41:58,916 --> 00:42:01,685 you know, with the body." 824 00:42:01,719 --> 00:42:06,156 I know he's in his nineties, 825 00:42:06,190 --> 00:42:09,026 but he's also a human being. 826 00:42:11,228 --> 00:42:13,364 At the end of the day, I went home, 827 00:42:13,397 --> 00:42:18,702 I went to the hotel, sat in my tub... 828 00:42:18,736 --> 00:42:21,171 for like an hour... 829 00:42:21,205 --> 00:42:24,008 just thinking about all these, you know, 830 00:42:24,041 --> 00:42:25,609 patients. 831 00:42:26,944 --> 00:42:29,980 And I realized that, my God... 832 00:42:36,754 --> 00:42:38,789 we are nothing. 833 00:42:40,224 --> 00:42:42,726 Human beings are nothing. 834 00:42:58,075 --> 00:42:59,877 The Mount Sinai Health System 835 00:42:59,910 --> 00:43:02,947 restricting access to visitors at all of their hospital and 836 00:43:02,980 --> 00:43:06,250 ambulatory sites in Manhattan, Brooklyn, and Queens. 837 00:43:06,283 --> 00:43:08,652 Mayor de Blasio stresses the demand for 838 00:43:08,686 --> 00:43:11,655 15,000 more ventilators for April and May. 839 00:43:11,689 --> 00:43:14,758 New York's stockpile currently won't last another week. 840 00:43:14,792 --> 00:43:17,261 The number of deaths is so staggering, 841 00:43:17,294 --> 00:43:19,063 funeral homes can't keep up. 842 00:43:19,096 --> 00:43:21,265 More than 5,000 dead this week. 843 00:43:21,298 --> 00:43:24,802 New York State alone has more coronavirus cases than 844 00:43:24,835 --> 00:43:27,771 any country on Earth. 845 00:43:27,805 --> 00:43:31,342 - I remember probably the darkest night 846 00:43:31,375 --> 00:43:36,814 was getting a call from the intensive care unit... 847 00:43:36,847 --> 00:43:38,882 and them telling me that... 848 00:43:40,117 --> 00:43:43,187 we just used our last ventilator. 849 00:43:44,955 --> 00:43:47,324 And what do we do now? 850 00:43:48,859 --> 00:43:52,363 There's four or five more hours until the morning 851 00:43:52,396 --> 00:43:55,132 and we don't know how many more patients are gonna come 852 00:43:55,165 --> 00:43:56,333 because they don't announce themselves. 853 00:43:56,367 --> 00:43:58,268 They don't say "Hey, we have five more 854 00:43:58,302 --> 00:44:00,237 coming from the field," they just... 855 00:44:00,270 --> 00:44:02,272 land in the emergency room. 856 00:44:04,074 --> 00:44:06,176 I was the ambulance triage nurse that day 857 00:44:06,210 --> 00:44:09,113 and I think like seven ambulances showed up at once. 858 00:44:09,146 --> 00:44:11,281 And I just had nowhere to put the people. 859 00:44:11,315 --> 00:44:13,784 We, we were filled up inside already, 860 00:44:13,817 --> 00:44:16,020 and it was a cold March day... 861 00:44:16,053 --> 00:44:20,491 I literally had stretchers with elderly women on them 862 00:44:20,524 --> 00:44:23,227 outside in the cold, and I just kept thinking to myself, 863 00:44:23,260 --> 00:44:26,063 "This is someone's mother, this is someone's grandmother." 864 00:44:26,096 --> 00:44:28,399 - I've certainly had moments where I'm at the head of 865 00:44:28,432 --> 00:44:30,934 the bed, I'm getting ready to intubate a patient... 866 00:44:30,968 --> 00:44:35,372 and intubation is maybe the most aerosolizing procedure... 867 00:44:35,406 --> 00:44:38,242 doing so with my limited PPE. 868 00:44:39,043 --> 00:44:42,379 And I've definitely wondered, "Is this... 869 00:44:42,413 --> 00:44:45,049 is this the moment that I get infected?" 870 00:44:47,851 --> 00:44:52,356 - My biggest fear out of all of this was potentially 871 00:44:52,389 --> 00:44:57,161 seeing one of my family members, um, in the hospital 872 00:44:57,194 --> 00:44:59,229 in a very dire situation, 873 00:44:59,263 --> 00:45:04,034 and unfortunately, that fear came into play when 874 00:45:04,068 --> 00:45:07,171 my grandfather was sick. 875 00:45:07,204 --> 00:45:11,108 I remember the day very vividly because I 876 00:45:11,141 --> 00:45:14,178 was on the phone with my mother and sister trying to coordinate, 877 00:45:14,211 --> 00:45:17,081 so I had said, "Whatever it is that we have to do, 878 00:45:17,114 --> 00:45:19,316 just make sure that we get Grandpa here 879 00:45:19,349 --> 00:45:21,485 because I'll be able to watch him." 880 00:45:22,553 --> 00:45:25,255 My low point was probably when I was caring for 881 00:45:25,289 --> 00:45:27,524 a 17-year-old that came in. 882 00:45:27,558 --> 00:45:30,094 She was doing really terribly. 883 00:45:30,561 --> 00:45:34,364 I came into the shift and ICU doctor just looked at me 884 00:45:34,398 --> 00:45:36,500 and just kinda said, "Okay, she's gonna code." 885 00:45:36,967 --> 00:45:39,236 - We got him in-house. 886 00:45:39,269 --> 00:45:41,538 I was able to see him. 887 00:45:41,572 --> 00:45:43,874 And I said to my co-workers at the time, 888 00:45:43,907 --> 00:45:45,809 "Do what you have to do for him 889 00:45:45,843 --> 00:45:48,345 and I'll come see him at the end of the shift." 890 00:45:48,378 --> 00:45:51,081 I barely had looked at her labs at this point. 891 00:45:51,115 --> 00:45:53,817 I hadn't done the things that I normally do before I... 892 00:45:53,851 --> 00:45:55,252 you know, to start the day. 893 00:45:55,285 --> 00:45:58,255 And I just stood outside her room watching her. 894 00:45:59,189 --> 00:46:01,225 - He needed a little bit more oxygen, 895 00:46:01,258 --> 00:46:03,360 eventually being on intermittent non-rebreather, 896 00:46:03,393 --> 00:46:04,595 so now, we're talking about, like, 897 00:46:04,628 --> 00:46:08,098 the maximum amount of oxygen that we can provide via mask. 898 00:46:10,100 --> 00:46:15,239 - The biggest difficulty for me was when I started seeing 899 00:46:15,272 --> 00:46:17,941 my loved ones in my patients. 900 00:46:21,945 --> 00:46:26,517 - I have a grandmother who is not in good health and 901 00:46:26,550 --> 00:46:29,553 I called my dad and said, 902 00:46:29,586 --> 00:46:33,857 "If she gets diagnosed with COVID-19, 903 00:46:34,124 --> 00:46:38,262 you really need to consider signing a DNR." 904 00:46:38,295 --> 00:46:42,866 - I knew that if my grandpa was gonna be put on a ventilator, 905 00:46:42,900 --> 00:46:45,002 there was no chance that he would survive, 906 00:46:45,035 --> 00:46:47,938 so I, I opted out for that. 907 00:46:47,971 --> 00:46:51,642 I had a discussion with my family members to see why 908 00:46:51,675 --> 00:46:55,212 I opted out for that, and we all were having this discussion. 909 00:46:57,047 --> 00:46:59,983 And I remember at this point, I had called my grandmother 910 00:47:00,017 --> 00:47:02,920 and I put her on speakerphone so they can, you know, communicate 911 00:47:02,953 --> 00:47:05,055 because I wasn't at work the next day, so 912 00:47:05,088 --> 00:47:09,359 I wanted to make sure that they had a conversation in place. 913 00:47:09,393 --> 00:47:10,561 - So I'm looking through the window, 914 00:47:10,594 --> 00:47:13,997 she's right there, and I see she's wearing her purple cap 915 00:47:14,031 --> 00:47:17,034 on her hair to try and keep her hair nice. 916 00:47:17,067 --> 00:47:20,304 But I did talk to the mom that night and she said, 917 00:47:20,337 --> 00:47:21,972 "Can you put her on speakerphone? 918 00:47:22,005 --> 00:47:23,607 I'm really close with my daughter. 919 00:47:23,640 --> 00:47:25,075 It'll, it'll help me." 920 00:47:25,108 --> 00:47:27,010 And I said, "I'll get you on speakerphone 921 00:47:27,044 --> 00:47:28,178 so you can talk to her." 922 00:47:28,212 --> 00:47:31,114 We had another patient who got really sick that night. 923 00:47:31,148 --> 00:47:32,683 And I got involved with that patient, 924 00:47:32,716 --> 00:47:36,186 so I never put her on speakerphone. 925 00:47:36,220 --> 00:47:38,222 - And she was saying in Spanish to him, 926 00:47:38,255 --> 00:47:39,189 "Fight for your life, 927 00:47:39,223 --> 00:47:42,526 fight for your life so you can come back." 928 00:47:42,559 --> 00:47:45,062 And at that point, I remember holding the phone up, 929 00:47:45,095 --> 00:47:48,031 like, while I was holding his hand and I just started crying. 930 00:47:48,065 --> 00:47:51,301 My grandpa might die in the hospital and I might be 931 00:47:51,335 --> 00:47:53,604 the only person who sees him. 932 00:47:54,238 --> 00:47:57,074 - So the next morning, I signed out to my team... 933 00:47:57,107 --> 00:47:59,409 it was a couple hours later... and I said, 934 00:47:59,443 --> 00:48:02,179 "Please call Mom and put her on speaker." 935 00:48:02,212 --> 00:48:05,549 So my buddy said, "I will do it, I will do it." 936 00:48:06,583 --> 00:48:10,053 So my friend texts me the next day and she was like, 937 00:48:10,087 --> 00:48:11,722 "I called Mom. 938 00:48:11,755 --> 00:48:14,057 Don't worry." 939 00:48:14,091 --> 00:48:15,692 Sorry. 940 00:48:15,726 --> 00:48:17,160 But, um... 941 00:48:17,194 --> 00:48:18,662 she died. 942 00:48:25,435 --> 00:48:28,505 - A lot of my co-workers were just pulling me to the side and 943 00:48:28,538 --> 00:48:30,274 they were just like, "Are you okay? 944 00:48:30,307 --> 00:48:33,010 Do you need to step away?" And I was just like... 945 00:48:33,043 --> 00:48:34,611 "Nah, like... I need to be here. 946 00:48:34,645 --> 00:48:38,548 Like, this will help me, being here." 947 00:48:38,582 --> 00:48:46,456 With the following week, he had needed less and less oxygen 948 00:48:47,024 --> 00:48:50,560 and had actually recovered on his own. 949 00:48:50,594 --> 00:48:52,763 I was in shock. 950 00:48:52,796 --> 00:48:55,732 To this day now, he's, uh, he's back at home and 951 00:48:55,766 --> 00:48:59,002 he's hangin' fine, COVID-free. 952 00:49:06,677 --> 00:49:08,612 My patient is still intubated 953 00:49:08,645 --> 00:49:09,579 and on a respirator. 954 00:49:09,613 --> 00:49:11,515 I was the only one that she was 955 00:49:11,548 --> 00:49:13,617 able to speak to before this happened. 956 00:49:13,650 --> 00:49:18,755 I was sitting with her, holding her hand and trying to 957 00:49:18,789 --> 00:49:22,092 soothe her fears about what may or may not happen. 958 00:49:22,125 --> 00:49:26,129 This might be the last conversation that they are 959 00:49:26,163 --> 00:49:30,300 able to have with anybody for the rest of their lives. 960 00:49:31,201 --> 00:49:34,104 - I'd say the "no visitor" policy, 961 00:49:34,137 --> 00:49:38,108 although completely necessary and understandable, 962 00:49:38,141 --> 00:49:43,046 was probably one of the most difficult parts to navigate. 963 00:49:43,714 --> 00:49:47,117 We had a couple of pediatric patients that died. 964 00:49:47,150 --> 00:49:51,755 I cared for both of them, um, and the awful thing was I'd be 965 00:49:51,788 --> 00:49:54,391 on the phone with the mom and she'd, you know, 966 00:49:54,424 --> 00:49:56,326 she'd be like, "Can I talk to her? 967 00:49:56,360 --> 00:49:57,461 Can I come in?" 968 00:49:57,494 --> 00:50:00,163 The answer was, "No." 969 00:50:00,197 --> 00:50:04,134 - The component of social isolation during all of this 970 00:50:04,167 --> 00:50:08,071 has been profound, and that meant leaving family members 971 00:50:08,105 --> 00:50:11,341 out in the ambulance bay, even just outside in the hospital, 972 00:50:11,375 --> 00:50:13,543 um, in the driveway. 973 00:50:13,577 --> 00:50:18,682 - Seeing people who die and they die alone because of 974 00:50:18,715 --> 00:50:21,852 these restrictions and not having visitors and 975 00:50:21,885 --> 00:50:24,087 no one deserves that. 976 00:50:24,688 --> 00:50:27,324 - And before any of our intubations, 977 00:50:27,357 --> 00:50:30,694 if there is even a five-minute window of time, 978 00:50:30,727 --> 00:50:33,697 I think we've all taken that time to even use our own 979 00:50:33,730 --> 00:50:37,734 personal devices, work phones, whatever we have to try to 980 00:50:37,768 --> 00:50:42,506 Facetime in a loved one, because I think we really recognize that 981 00:50:42,539 --> 00:50:45,876 those may be the last five minutes any family member gets 982 00:50:45,909 --> 00:50:47,878 with their loved one. 983 00:50:47,911 --> 00:50:50,180 I want my patients as comfortable 984 00:50:50,213 --> 00:50:51,248 as possible, 985 00:50:51,281 --> 00:50:55,085 even if they're making decisions for end-of-life. 986 00:50:55,652 --> 00:50:59,523 So I sit and I speak with them face-to-face, 987 00:50:59,556 --> 00:51:04,561 eye-to-eye, and talk about very real situations. 988 00:51:04,928 --> 00:51:10,133 So it's very important that you make that conversation count. 989 00:51:10,767 --> 00:51:13,270 Unfortunately, some people come in and it's rapid-fire and 990 00:51:13,303 --> 00:51:16,273 they're intubated before they even know it. 991 00:51:17,441 --> 00:51:20,877 - Knowing we don't have a definitive treatment for this... 992 00:51:20,911 --> 00:51:24,614 is just trying so hard for loved ones to connect. 993 00:51:25,282 --> 00:51:28,552 - As the weeks went on, we did start Facetiming with families. 994 00:51:28,585 --> 00:51:31,288 We brought the phones and the tablets into the rooms, 995 00:51:31,321 --> 00:51:34,257 we held them up for the families to see the patients, 996 00:51:34,291 --> 00:51:38,762 and I'll never forget the sounds that I heard when these people 997 00:51:38,795 --> 00:51:41,264 walked into the room to say goodbye. 998 00:51:41,298 --> 00:51:44,167 It's just like nothing... 999 00:51:44,201 --> 00:51:47,637 you're ready for in your life, it's nothing anyone 1000 00:51:47,671 --> 00:51:49,473 should ever have to go through. 1001 00:51:49,506 --> 00:51:53,643 There's nothing that I can say to make it better. 1002 00:51:53,677 --> 00:51:57,147 You really became one with these family members. 1003 00:51:58,281 --> 00:52:01,785 - I've even run down the road trying to catch a loved one 1004 00:52:01,818 --> 00:52:04,521 who's gotten in their car just to 1005 00:52:04,554 --> 00:52:07,390 try to have that eye-to-eye contact, 1006 00:52:07,424 --> 00:52:09,326 so that they really know I'm gonna do 1007 00:52:09,359 --> 00:52:11,962 everything I can for their loved one. 1008 00:52:11,995 --> 00:52:15,966 - No one should ever leave this Earth alone, 1009 00:52:15,999 --> 00:52:18,802 and we do that in this crisis or not. 1010 00:52:18,835 --> 00:52:21,571 If someone is passing and their family's not there, 1011 00:52:21,605 --> 00:52:23,974 we all make sure someone is in there, 1012 00:52:24,007 --> 00:52:26,877 and I, I feel blessed to be able to do it. 1013 00:52:27,577 --> 00:52:30,714 - We're not their family, but we can at least be supportive, 1014 00:52:30,747 --> 00:52:33,717 we can hold their hand as they're dying 1015 00:52:33,750 --> 00:52:37,821 and be with them so intimately. 1016 00:52:38,488 --> 00:52:40,857 - At its core, it's heartbreaking, but we 1017 00:52:40,891 --> 00:52:43,760 owe it to them and we owe it to ourselves to do 1018 00:52:43,793 --> 00:52:46,696 that and just remind all of ourselves that we're human. 1019 00:52:47,697 --> 00:52:49,266 We... 1020 00:52:49,299 --> 00:52:52,435 tried our best to let them know that they were... 1021 00:52:52,469 --> 00:52:53,837 cared for... 1022 00:52:57,274 --> 00:53:01,978 and... leaving this world with some level of dignity. 1023 00:53:07,450 --> 00:53:08,985 The largest study of frontline medical 1024 00:53:09,019 --> 00:53:11,721 workers at the height of the pandemic in New York City 1025 00:53:11,755 --> 00:53:15,392 found 57% of them had acute stress, 1026 00:53:15,425 --> 00:53:18,261 48% saw depressive symptoms, 1027 00:53:18,295 --> 00:53:22,699 and nearly 75% experienced insomnia. 1028 00:53:23,300 --> 00:53:25,669 - There's frustration at every turn. 1029 00:53:25,702 --> 00:53:29,039 There's guilt at every turn. 1030 00:53:29,072 --> 00:53:32,042 - You always wonder "Could I have done something 1031 00:53:32,075 --> 00:53:33,276 a little different? 1032 00:53:33,310 --> 00:53:35,345 Could I have done this better?" 1033 00:53:35,378 --> 00:53:37,681 - We sort of feel like we're doing a crappy job, 1034 00:53:37,714 --> 00:53:39,883 honestly, a lot of the time. 1035 00:53:40,483 --> 00:53:43,720 It's a virus, we're giving these meds that don't always work, 1036 00:53:43,753 --> 00:53:45,055 people are dying. 1037 00:53:45,088 --> 00:53:47,057 Every patient, I feel like I've missed things. 1038 00:53:47,090 --> 00:53:50,393 - I was mad at myself because I couldn't... 1039 00:53:50,427 --> 00:53:53,029 I, personally, couldn't give them the quality of care that 1040 00:53:53,063 --> 00:53:55,432 I strive to give. 1041 00:53:55,465 --> 00:53:57,400 - I just felt like a bad nurse. 1042 00:53:57,434 --> 00:54:00,604 I knew what I needed to do and I couldn't do it. 1043 00:54:01,605 --> 00:54:04,407 - I don't let myself feel a lot of feelings, 1044 00:54:04,441 --> 00:54:07,310 but the one I do, because I think it's motivating for me, 1045 00:54:07,344 --> 00:54:08,712 is... 1046 00:54:08,745 --> 00:54:10,413 anger. 1047 00:54:10,447 --> 00:54:14,084 - This is just the basic standards to make sure that 1048 00:54:14,117 --> 00:54:17,087 being in the hospital doesn't get them sicker, 1049 00:54:17,120 --> 00:54:19,489 and I wasn't allowed to do that, 1050 00:54:19,522 --> 00:54:22,392 and I wasn't doing what I was supposed to be doing. 1051 00:54:22,425 --> 00:54:25,595 - Just angry about why this had to happen, 1052 00:54:25,629 --> 00:54:27,998 why we don't know more about this disease, 1053 00:54:28,031 --> 00:54:30,433 why we don't have a definitive treatment, 1054 00:54:30,467 --> 00:54:34,971 and why, despite years of investment in training and 1055 00:54:35,005 --> 00:54:38,608 school and putting yourself around the most talented 1056 00:54:38,642 --> 00:54:41,444 individuals, it's still... 1057 00:54:41,478 --> 00:54:44,014 it's still not enough to save your patient. 1058 00:54:45,148 --> 00:54:47,584 We didn't even care about ourselves. 1059 00:54:47,617 --> 00:54:50,920 Some of us do also get easily irritated. 1060 00:54:50,954 --> 00:54:53,123 Sometimes, people don't even talk to each other. 1061 00:54:53,156 --> 00:54:56,726 It's like, I have my break, I'm just quiet and 1062 00:54:56,760 --> 00:54:57,927 focusing on myself. 1063 00:54:59,162 --> 00:55:02,599 I worry about physicians in general and the extent to 1064 00:55:02,632 --> 00:55:06,002 which it's a culture of sort of martyring yourselves for your 1065 00:55:06,036 --> 00:55:08,705 patients and for the healthcare system. 1066 00:55:10,173 --> 00:55:14,010 - When the numbers got better in the city, 1067 00:55:14,044 --> 00:55:18,648 our pop-up ICU closed and we returned to a full pediatric 1068 00:55:18,682 --> 00:55:24,020 ICU, no longer taking care of patients up to 35. 1069 00:55:24,054 --> 00:55:28,858 And I, surprisingly, really struggled with that because... 1070 00:55:29,659 --> 00:55:32,662 my city was still struggling. 1071 00:55:33,530 --> 00:55:36,533 It's survivor's guilt, looking at the colleagues 1072 00:55:36,566 --> 00:55:39,636 that we've lost and the patients we've lost. 1073 00:55:39,669 --> 00:55:42,539 It's guilt when you are sick and you've come down 1074 00:55:42,572 --> 00:55:45,842 with coronavirus and you are sort of sidelined. 1075 00:55:45,875 --> 00:55:49,679 - There were still nurses on the frontlines dealing with COVID, 1076 00:55:49,713 --> 00:55:52,015 and I was still getting applauded at seven o'clock, 1077 00:55:52,048 --> 00:55:55,485 but now, I was in my safe, pediatric bubble. 1078 00:55:55,518 --> 00:56:00,023 And I felt like I wasn't doing my part in COVID-19. 1079 00:56:00,590 --> 00:56:03,827 - Losing patient after patient, signing death certificate after 1080 00:56:03,860 --> 00:56:08,932 death certificate is a, uh... a new low point in my career and 1081 00:56:08,965 --> 00:56:11,668 my life, I would say. 1082 00:56:11,701 --> 00:56:15,038 - An opportunity came to volunteer with the 1083 00:56:15,071 --> 00:56:18,541 family liaison program, so I've been doing that, 1084 00:56:18,575 --> 00:56:22,178 where I go into the patient's room with an iPad so the 1085 00:56:22,212 --> 00:56:26,216 family members can Facetime their patients. 1086 00:56:26,249 --> 00:56:28,585 - Anecdotally, patient comes into the hospital, 1087 00:56:28,618 --> 00:56:31,521 a patient that is, uh... has declared them self what we call 1088 00:56:31,554 --> 00:56:33,556 "do not resuscitate," they're not gonna be resuscitated, 1089 00:56:33,590 --> 00:56:35,859 they're not gonna go on a ventilator, 1090 00:56:35,892 --> 00:56:37,861 on the verge of respiratory failure. 1091 00:56:37,894 --> 00:56:41,064 Can we give them this medicine? 1092 00:56:41,631 --> 00:56:43,767 No. 1093 00:56:45,602 --> 00:56:49,706 They're not gonna benefit and someone else might, 1094 00:56:49,739 --> 00:56:53,209 so I can't give you that medicine. 1095 00:56:54,611 --> 00:56:56,713 You feel guilty. 1096 00:56:56,746 --> 00:57:00,216 You rely on the fact that you hope you made 1097 00:57:00,250 --> 00:57:03,052 the right decision and that, that medicine you have is now 1098 00:57:03,086 --> 00:57:06,623 gonna be used appropriately so that, um, 1099 00:57:06,656 --> 00:57:09,459 you are helping somebody rather than just throwing it away. 1100 00:57:10,827 --> 00:57:14,497 - We've lost colleagues to this disease and to the emotional 1101 00:57:14,531 --> 00:57:17,934 toll that this disease has had on the community. 1102 00:57:18,268 --> 00:57:20,270 I can see myself in that suffering, 1103 00:57:20,303 --> 00:57:23,006 and I see a lot of my colleagues in that suffering. 1104 00:57:23,039 --> 00:57:26,109 And that breaks my heart and it scares me. 1105 00:57:26,142 --> 00:57:29,245 - Here we are with limited tests, limited medications... 1106 00:57:29,279 --> 00:57:31,614 medications that don't work anyway... 1107 00:57:31,648 --> 00:57:35,018 and patients that we need to care for. 1108 00:57:35,852 --> 00:57:37,954 Frustrating. 1109 00:57:47,864 --> 00:57:50,533 The nurses are extremely, uh, 1110 00:57:50,567 --> 00:57:51,901 extended. 1111 00:57:51,935 --> 00:57:54,804 The work they're doing is, is nothing short of heroic. 1112 00:57:54,838 --> 00:57:58,107 A life saved from COVID-19 requires others 1113 00:57:58,141 --> 00:58:02,178 accepting the risk of self-sacrifice. 1114 00:58:03,079 --> 00:58:05,615 I do not see myself as a hero. 1115 00:58:05,648 --> 00:58:07,784 I realize that what I'm doing is important 1116 00:58:07,817 --> 00:58:10,987 right now, but I'm doing my job. 1117 00:58:11,855 --> 00:58:14,324 - "Hero" is a hard word for me to... 1118 00:58:14,357 --> 00:58:15,592 take on. 1119 00:58:15,625 --> 00:58:19,963 My husband, being in the Army, gets called that all the time. 1120 00:58:19,996 --> 00:58:21,030 He gets clapped for. 1121 00:58:21,064 --> 00:58:22,799 Someone will come up and be like, 1122 00:58:22,832 --> 00:58:24,133 "Thank you for your service." 1123 00:58:24,167 --> 00:58:26,836 And he's always like, like, "I have buddies who are, 1124 00:58:26,870 --> 00:58:27,837 you know, infantry." 1125 00:58:27,871 --> 00:58:30,573 It never sits well with him. 1126 00:58:30,607 --> 00:58:33,810 I feel how he feels in that, like, 1127 00:58:33,843 --> 00:58:35,078 "Not me, like, 1128 00:58:35,111 --> 00:58:38,214 you should see what my friends are doing." 1129 00:58:39,382 --> 00:58:44,053 If you have a job, do it... 1130 00:58:44,087 --> 00:58:45,989 and do it well. 1131 00:58:46,022 --> 00:58:49,058 This is exactly why we do what we do. 1132 00:58:49,092 --> 00:58:53,229 I had felt purpose because I knew that I was here to do this. 1133 00:58:53,263 --> 00:58:56,599 Like, to, to help, you know, protect the city that 1134 00:58:56,633 --> 00:58:59,035 I was born in. 1135 00:59:01,738 --> 00:59:05,341 - I was raised in a family that really focused on service 1136 00:59:05,375 --> 00:59:07,043 and volunteer work. 1137 00:59:07,076 --> 00:59:11,614 I chose to go into healthcare, and specifically nursing, 1138 00:59:11,648 --> 00:59:16,219 just because I realized when I was pre-med in college that... 1139 00:59:16,252 --> 00:59:18,888 the human side of it fell more towards the nurse 1140 00:59:18,922 --> 00:59:20,156 than the doctor. 1141 00:59:20,189 --> 00:59:23,393 Nurses are the ones right there with the patient every day on 1142 00:59:23,426 --> 00:59:26,763 the hardest day of their life, trying to comfort them 1143 00:59:26,796 --> 00:59:28,731 and make them feel better. 1144 00:59:28,765 --> 00:59:31,634 While I don't consider myself a hero, 1145 00:59:31,668 --> 00:59:36,172 a lot of people have been saying, "We signed up for this." 1146 00:59:36,205 --> 00:59:39,042 I also don't agree with that. 1147 00:59:39,075 --> 00:59:42,412 I signed up to work grueling hours, 1148 00:59:42,445 --> 00:59:47,417 to work an extremely high-emotion job, 1149 00:59:47,450 --> 00:59:51,888 I signed up to give myself fully to patients on the worst day of 1150 00:59:51,921 --> 00:59:54,223 their life and to their families, 1151 00:59:54,257 --> 00:59:58,428 but I didn't sign up to not be safe at work, 1152 00:59:58,461 --> 01:00:02,231 I didn't sign up to feel like I couldn't do my best job 1153 01:00:02,265 --> 01:00:04,233 as a nurse. 1154 01:00:04,267 --> 01:00:08,237 - I see my office staff as my heroes, 1155 01:00:08,271 --> 01:00:12,942 coming to work even though they know it's going to be risky. 1156 01:00:14,711 --> 01:00:16,813 I think the better question to ask is, 1157 01:00:16,846 --> 01:00:18,948 you know, have, have we always been heroes? 1158 01:00:18,982 --> 01:00:21,951 And I think is it just being shed light now? 1159 01:00:21,985 --> 01:00:23,920 I don't wake up every day and think, 1160 01:00:23,953 --> 01:00:25,288 "I'm this hero," it's "No, 1161 01:00:25,321 --> 01:00:29,192 I'm a registered nurse in an emergency department." 1162 01:00:29,826 --> 01:00:32,695 I just did what I needed to do so that 1163 01:00:32,729 --> 01:00:35,465 other people can do what they need to do. 1164 01:00:35,498 --> 01:00:36,933 No. 1165 01:00:36,966 --> 01:00:38,801 I'm not the hero. 1166 01:00:39,302 --> 01:00:42,839 - Growing up, my grandfather was my role model 1167 01:00:42,872 --> 01:00:44,140 from almost day one. 1168 01:00:44,173 --> 01:00:46,876 Um, he was a general surgeon. 1169 01:00:47,143 --> 01:00:50,947 He actually encouraged me for years to not go into medicine 1170 01:00:50,980 --> 01:00:53,983 because I think he really saw the sacrifice it took 1171 01:00:54,017 --> 01:00:55,318 to be a great clinician. 1172 01:00:55,351 --> 01:00:57,253 He was the one who said, "You know, 1173 01:00:57,286 --> 01:00:58,988 if you really think you'd want 1174 01:00:59,022 --> 01:01:00,223 to do this, try it out." 1175 01:01:00,256 --> 01:01:03,126 He encouraged me to join my ambulance squad in high school, 1176 01:01:03,159 --> 01:01:04,460 which I did. 1177 01:01:04,494 --> 01:01:06,896 Um, and I fell in love with it. 1178 01:01:06,929 --> 01:01:09,065 When I finally called him and told him I, 1179 01:01:09,098 --> 01:01:12,101 you know... I have to do this, he, um... 1180 01:01:12,135 --> 01:01:15,004 he actually got tearful on the phone. 1181 01:01:15,905 --> 01:01:17,440 He was so happy. 1182 01:01:17,473 --> 01:01:19,142 Um... 1183 01:01:19,175 --> 01:01:21,044 and that meant the world to me. 1184 01:01:21,077 --> 01:01:24,781 He is my favorite person in the whole world, hands down, 1185 01:01:24,814 --> 01:01:28,451 and I hope I can be half the doctor he is. 1186 01:01:31,421 --> 01:01:33,389 I don't have a cure for my patients. 1187 01:01:33,423 --> 01:01:36,859 I, I've lost a lot of my patients. 1188 01:01:39,562 --> 01:01:43,266 I don't... I don't feel like a hero. 1189 01:01:53,376 --> 01:01:55,445 Doctors across the country are dealing with 1190 01:01:55,478 --> 01:01:57,914 unprecedented levels of traumatic stress, 1191 01:01:57,947 --> 01:02:00,883 not only from the sheer pressure from their jobs but also 1192 01:02:00,917 --> 01:02:03,519 the moral decisions they're forced to make in split seconds. 1193 01:02:05,388 --> 01:02:09,525 - In terms of coping with this, I think right now, 1194 01:02:09,559 --> 01:02:13,062 none of us can answer that question. 1195 01:02:14,464 --> 01:02:16,899 - We haven't been trained to compartmentalize 1196 01:02:16,933 --> 01:02:17,867 this many deaths. 1197 01:02:17,900 --> 01:02:19,535 That's the reality. 1198 01:02:20,937 --> 01:02:24,574 Stress on the job is something, um, 1199 01:02:24,607 --> 01:02:28,111 you talk about in med school, but this was different 1200 01:02:28,144 --> 01:02:31,948 in the sense that it was constant 1201 01:02:31,981 --> 01:02:35,418 and it was all-encompassing. 1202 01:02:36,052 --> 01:02:38,921 - It takes me a long time to really come to terms with 1203 01:02:38,955 --> 01:02:41,958 a lot of the things that I see in the hospital. 1204 01:02:41,991 --> 01:02:43,960 Um, a lot of the difficult situations, 1205 01:02:43,993 --> 01:02:46,896 I ponder for months and months. 1206 01:02:46,929 --> 01:02:50,399 - I think that we are in the midst of, of... 1207 01:02:50,433 --> 01:02:54,904 trauma, and you can't heal until you're past the trauma. 1208 01:02:54,937 --> 01:02:58,508 - We saw so much death and dying quickly... 1209 01:02:58,975 --> 01:03:00,409 it was... I don't know. 1210 01:03:00,443 --> 01:03:02,945 I just usually gave myself a sign of the cross 1211 01:03:02,979 --> 01:03:04,413 and... 1212 01:03:04,447 --> 01:03:05,581 stepped out of the room. 1213 01:03:05,615 --> 01:03:08,885 You know, tried to forget. 1214 01:03:08,918 --> 01:03:11,988 And I think I've probably suppressed a lot of it... 1215 01:03:12,021 --> 01:03:14,323 which is not good. 1216 01:03:16,125 --> 01:03:21,197 - I get a sense of... well-being when I'm able to call a family 1217 01:03:21,230 --> 01:03:26,102 who has lost someone and just talk to them for a little bit. 1218 01:03:28,204 --> 01:03:30,973 - We all chatter about PTSD right now. 1219 01:03:31,007 --> 01:03:33,109 We also don't talk about the hard stuff often 1220 01:03:33,142 --> 01:03:34,510 at the hospital. 1221 01:03:34,544 --> 01:03:36,646 Sometimes, if you're caught up in your emotions, 1222 01:03:36,679 --> 01:03:38,114 you're not doing your job, 1223 01:03:38,147 --> 01:03:40,850 you're not caring for the next patient. 1224 01:03:41,117 --> 01:03:43,619 - I really flip a switch in my head when I walk 1225 01:03:43,653 --> 01:03:46,622 through the door and I, I go into work mode. 1226 01:03:46,656 --> 01:03:49,959 I'm focused on keeping my team safe, 1227 01:03:49,992 --> 01:03:52,261 doing the best things I can for the patient, 1228 01:03:52,295 --> 01:03:53,329 and then moving on. 1229 01:03:53,362 --> 01:03:56,966 And in emergency medicine, things move so quickly, 1230 01:03:56,999 --> 01:03:59,969 I'm almost thankful that there's not too much time to sit 1231 01:04:00,002 --> 01:04:02,004 and process, in the heat of the moment, 1232 01:04:02,038 --> 01:04:06,042 the emotional toll that this ultimately does take on 1233 01:04:06,075 --> 01:04:07,243 all of us. 1234 01:04:07,276 --> 01:04:12,014 I cry pretty much every car ride home after every shift, 1235 01:04:12,048 --> 01:04:15,885 and I think that's important for me to do. 1236 01:04:16,352 --> 01:04:20,156 To just be feeling the horrendous feelings that we 1237 01:04:20,189 --> 01:04:22,892 need to feel after witnessing something like this. 1238 01:04:23,226 --> 01:04:26,229 Mental health experts say an entire generation 1239 01:04:26,262 --> 01:04:30,199 of medical workers will likely suffer prolonged psychological 1240 01:04:30,233 --> 01:04:33,035 effects from working through this pandemic. 1241 01:04:33,069 --> 01:04:35,504 There is a, a real barrier, 1242 01:04:35,538 --> 01:04:37,540 especially in the field of medicine, 1243 01:04:37,573 --> 01:04:40,543 to asking for help. 1244 01:04:41,978 --> 01:04:46,949 - My preceptor was like, "Why don't you just go take a break?" 1245 01:04:48,084 --> 01:04:51,520 And it... having someone be like, "Take a break" and then, 1246 01:04:51,554 --> 01:04:53,356 "Just take time for you." 1247 01:04:53,389 --> 01:04:55,491 And I just left clinic and just started crying, 1248 01:04:55,524 --> 01:04:57,426 I called my husband and I was like, 1249 01:04:57,460 --> 01:04:59,962 "I don't know if I can go back to work," 1250 01:04:59,996 --> 01:05:01,397 He's like, "Just go sit somewhere" 1251 01:05:01,430 --> 01:05:03,165 I just sat outside and I just... 1252 01:05:03,199 --> 01:05:05,568 like, cried for a little and just had a release, 1253 01:05:05,601 --> 01:05:08,571 like, just really, like, "Turn it off. 1254 01:05:08,604 --> 01:05:10,473 Take care of yourself." 1255 01:05:11,540 --> 01:05:13,075 Okay, now I need a tissue. 1256 01:05:16,312 --> 01:05:20,549 I don't like to cry in front of my family because... 1257 01:05:20,583 --> 01:05:23,052 I don't like to bring them into it. 1258 01:05:23,085 --> 01:05:26,255 'Cause they don't get to move on the way I do. 1259 01:05:28,024 --> 01:05:31,227 - I try not to talk about it too much. Um... 1260 01:05:31,260 --> 01:05:32,295 my children ask me, 1261 01:05:32,328 --> 01:05:35,598 they say, "Daddy, um, are, are you working with the 1262 01:05:35,631 --> 01:05:36,666 coronavirus people?" 1263 01:05:36,699 --> 01:05:39,068 And I just tell them, "Yeah, Daddy's taking care 1264 01:05:39,101 --> 01:05:41,137 of people that have the coronavirus." 1265 01:05:41,170 --> 01:05:45,341 And I kind of give very brief answers. 1266 01:05:47,476 --> 01:05:51,580 - My program has started doing weekly check-ins, 1267 01:05:51,614 --> 01:05:54,483 so they do a Zoom check-in with our chiefs and our program 1268 01:05:54,517 --> 01:05:59,121 director, just as a space just to talk amongst each other about 1269 01:05:59,155 --> 01:06:02,024 what's going on and how you're coping, 1270 01:06:02,058 --> 01:06:04,126 how you're handling. 1271 01:06:04,160 --> 01:06:06,429 - I think that prior to the pandemic, 1272 01:06:06,462 --> 01:06:09,098 I tried not to wear my emotions on my sleeves, 1273 01:06:09,131 --> 01:06:12,168 and I kind of tried to, uh, be very stoic. 1274 01:06:12,201 --> 01:06:15,171 There was plenty of times where I would find myself just, 1275 01:06:15,204 --> 01:06:17,473 like, you know, I'm not okay 1276 01:06:17,506 --> 01:06:19,775 and that's okay. 1277 01:06:19,809 --> 01:06:22,645 It's okay to not be okay. 1278 01:06:23,512 --> 01:06:27,149 Once you start to internalize all these situations that are 1279 01:06:27,183 --> 01:06:29,652 going on, uh, especially as a healthcare provider, 1280 01:06:29,685 --> 01:06:33,022 I think that's when people are kinda set up for failure. 1281 01:06:33,255 --> 01:06:36,025 'Cause you're not gonna save everybody. 1282 01:06:37,760 --> 01:06:40,730 - And I can't really verbalize what those mechanisms are 1283 01:06:40,763 --> 01:06:41,831 for me. 1284 01:06:41,864 --> 01:06:45,568 I am able, to an extent, compartmentalize what I see 1285 01:06:45,601 --> 01:06:50,206 and do at work everyday, and it makes me worry about our 1286 01:06:50,239 --> 01:06:55,611 interns, um, people who haven't done this for a long time 1287 01:06:55,644 --> 01:06:58,147 and don't have those mechanisms in place. 1288 01:06:59,482 --> 01:07:03,519 - So I think we just get up and go to work and give it our all 1289 01:07:03,552 --> 01:07:06,822 and come home and pray that this will end soon and, 1290 01:07:06,856 --> 01:07:10,393 um, just keep doing the best we can. 1291 01:07:10,726 --> 01:07:12,628 - I'm gonna go up in the shower. 1292 01:07:12,661 --> 01:07:14,397 Okay. 1293 01:07:18,134 --> 01:07:20,302 There are signs of some progress in this 1294 01:07:20,336 --> 01:07:22,671 daily battle that the tri-state is facing in this 1295 01:07:22,705 --> 01:07:23,873 coronavirus pandemic. 1296 01:07:23,906 --> 01:07:26,842 New York recording the fewest number of daily deaths in 1297 01:07:26,876 --> 01:07:28,077 nearly two weeks. 1298 01:07:28,110 --> 01:07:31,347 Promising news in the battle against COVID-19: 1299 01:07:31,380 --> 01:07:32,715 For three days in a row, 1300 01:07:32,748 --> 01:07:35,718 the number of hospitalizations, ICU admissions, 1301 01:07:35,751 --> 01:07:39,255 and intubations in New York have all gone down. 1302 01:07:39,288 --> 01:07:41,724 By the data, we could be either very near 1303 01:07:41,757 --> 01:07:45,895 the apex or the apex could be a plateau and we could be 1304 01:07:45,928 --> 01:07:48,597 on that plateau right now. 1305 01:07:59,508 --> 01:08:03,913 We've experienced a lot of darkness, 1306 01:08:03,946 --> 01:08:09,285 but there's been also a lot of light and just a lot of hope 1307 01:08:09,318 --> 01:08:12,154 around everywhere you looked. 1308 01:08:14,490 --> 01:08:17,326 When a patient died, I die. 1309 01:08:17,359 --> 01:08:20,496 The fact is, if the patients get better, 1310 01:08:20,529 --> 01:08:24,333 it makes me feel good, so it pushes me to help and do the 1311 01:08:24,366 --> 01:08:27,503 best that I can, 'cause that's the reason why we are there. 1312 01:08:27,536 --> 01:08:29,338 We are there to save lives. 1313 01:08:29,371 --> 01:08:32,608 - I was caring for a patient who was very young, 1314 01:08:32,641 --> 01:08:37,313 he was in his fourties, I knew that he had young children. 1315 01:08:37,346 --> 01:08:41,383 I spoke to his mother and his wife on the phone. 1316 01:08:42,418 --> 01:08:45,454 He rapidly declined and, all of a sudden, 1317 01:08:45,488 --> 01:08:47,323 his numbers were way off, 1318 01:08:47,356 --> 01:08:49,225 he wasn't ventilating appropriately, 1319 01:08:49,258 --> 01:08:51,393 he wasn't responding to the medications 1320 01:08:51,427 --> 01:08:53,963 in the way that he should. 1321 01:08:53,996 --> 01:08:56,732 - I'll never forget this 26-year-old female 1322 01:08:56,765 --> 01:08:59,802 who came in walking in, and within half an hour, 1323 01:08:59,835 --> 01:09:02,838 we had intubated her. 1324 01:09:03,772 --> 01:09:05,808 I'm looking at this guy, he's grey. 1325 01:09:05,841 --> 01:09:07,977 He's like the greyest of grey, 1326 01:09:08,010 --> 01:09:10,246 and he makes this sound that you... 1327 01:09:10,279 --> 01:09:12,481 oof, it was awful. 1328 01:09:12,515 --> 01:09:16,385 - I was talking to him because his family asked me to. 1329 01:09:16,418 --> 01:09:19,822 His wife said, "Please tell him 'You need to get through this, 1330 01:09:19,855 --> 01:09:22,291 you need to pull through.'" 1331 01:09:22,992 --> 01:09:24,727 - And I remember speaking to her mom, 1332 01:09:24,760 --> 01:09:26,862 who was primarily Spanish- speaking, just saying, you know, 1333 01:09:26,896 --> 01:09:28,531 "What's gonna happen to my daughter? 1334 01:09:28,564 --> 01:09:29,965 What's gonna happen to my daughter?" 1335 01:09:30,633 --> 01:09:32,935 - Trying to get the board under his back 1336 01:09:32,968 --> 01:09:35,671 so we can give compression's so it's on a hard surface 1337 01:09:35,704 --> 01:09:38,440 so that they'll work... I think this guy's about to die. 1338 01:09:38,474 --> 01:09:40,576 - I was like, "You have to get through this, 1339 01:09:40,609 --> 01:09:43,312 you have to pull through, come on, you can do this." 1340 01:09:43,345 --> 01:09:46,415 - We were doing everything that we can to keep her alive. 1341 01:09:46,782 --> 01:09:48,984 And we delayed compression's for... 1342 01:09:49,018 --> 01:09:50,786 maybe 15, 30 seconds 1343 01:09:50,819 --> 01:09:52,955 because we were putting sheets on our 1344 01:09:52,988 --> 01:09:54,623 COVID patients, on top of them, 1345 01:09:54,657 --> 01:09:56,392 so that when we gave them compression's, 1346 01:09:56,425 --> 01:09:59,562 their secretions weren't being spewed onto us. 1347 01:09:59,895 --> 01:10:03,566 - One of my patients, he would squeeze my hand... 1348 01:10:03,599 --> 01:10:06,569 and seem to be aware when I was in the room. 1349 01:10:07,436 --> 01:10:09,338 And then his heart rate popped up, 1350 01:10:09,371 --> 01:10:11,273 and we didn't give him compression's. 1351 01:10:11,307 --> 01:10:13,709 And... he was fine. 1352 01:10:13,742 --> 01:10:15,911 He came back. 1353 01:10:15,945 --> 01:10:19,048 - A couple weeks ago, we just had found out that 1354 01:10:19,081 --> 01:10:22,484 she was discharged and on her way home. 1355 01:10:22,918 --> 01:10:25,054 - I can't even describe how good it felt 1356 01:10:25,087 --> 01:10:27,289 to just have that wave of relief, 1357 01:10:27,323 --> 01:10:30,459 knowing that he was gonna pull through. 1358 01:10:31,026 --> 01:10:34,496 - I would play for him these relaxation videos we have 1359 01:10:34,530 --> 01:10:38,767 of the beaches of Hawaii or the Grecian islands, 1360 01:10:38,801 --> 01:10:40,736 and I would tell him, "All right, sir, 1361 01:10:40,769 --> 01:10:44,707 today, we're going to Santorini," 1362 01:10:44,740 --> 01:10:46,842 and play the videos. 1363 01:10:49,111 --> 01:10:51,981 - And I think that idea of, like, you know, 1364 01:10:52,014 --> 01:10:54,650 she's coming home and she's reuniting with her mother 1365 01:10:54,683 --> 01:10:57,086 and, um... 1366 01:10:57,119 --> 01:10:59,455 it kinda put my mind at ease. 1367 01:10:59,488 --> 01:11:02,658 - He had five kids, um, and he's fine. 1368 01:11:02,691 --> 01:11:03,959 He went home. 1369 01:11:03,993 --> 01:11:06,095 And I don't think he knows who I am 1370 01:11:06,128 --> 01:11:08,831 'cause he was intubated and sedated when I cared for him, 1371 01:11:08,864 --> 01:11:12,635 but he literally died in front of me and... 1372 01:11:12,668 --> 01:11:14,837 then he went home, so... 1373 01:11:15,571 --> 01:11:17,673 that's pretty good. 1374 01:11:17,706 --> 01:11:20,809 - He's finally taken off sedation and extubated. 1375 01:11:21,377 --> 01:11:24,613 He woke up and asked if he was in Hawaii. 1376 01:11:24,647 --> 01:11:27,750 And I guess if you have to have... 1377 01:11:28,550 --> 01:11:31,420 COVID-19 and be intubated in an ICU, 1378 01:11:31,453 --> 01:11:33,589 it's not too bad if you think 1379 01:11:33,622 --> 01:11:35,557 you're on a beach in Hawaii. 1380 01:11:48,537 --> 01:11:52,041 - Some of the patients also give me the strength, 1381 01:11:52,074 --> 01:11:55,644 because some patients gets better. 1382 01:11:55,678 --> 01:11:58,514 And, um... 1383 01:11:58,547 --> 01:12:03,018 they get extubated, and then, we rejoice and scream and yell. 1384 01:12:03,852 --> 01:12:05,988 - And when you pull that tube out, and you 1385 01:12:06,021 --> 01:12:08,657 hear them cough, it is like the best thing 1386 01:12:08,691 --> 01:12:10,559 in the world. 1387 01:12:10,859 --> 01:12:14,396 - Our hospital started a new protocol where patients who 1388 01:12:14,430 --> 01:12:17,733 recover from COVID-19 get a clap-out. 1389 01:12:19,768 --> 01:12:22,037 - Just to know that these people are gonna start 1390 01:12:22,071 --> 01:12:26,875 to, like, begin their journey towards a somewhat normal life 1391 01:12:26,909 --> 01:12:31,180 again, and just to be in those very first moments of that is 1392 01:12:31,213 --> 01:12:34,717 something special. 1393 01:12:34,750 --> 01:12:37,586 Play a little song, and everybody knows that 1394 01:12:37,619 --> 01:12:38,754 somebody's going home. 1395 01:12:40,656 --> 01:12:42,558 And when you hear that once, it's great. 1396 01:12:42,591 --> 01:12:45,561 When you hear it twice and three times and four times and 1397 01:12:45,594 --> 01:12:47,696 you start hearing it five, six times a day, 1398 01:12:47,730 --> 01:12:51,700 um, each one is special, each one means something. 1399 01:12:51,734 --> 01:12:54,770 That's what gives us hope: When we see somebody getting better, 1400 01:12:54,803 --> 01:12:59,208 when we feel that we've done the right thing at the right time 1401 01:12:59,241 --> 01:13:03,746 for long enough that... 1402 01:13:03,779 --> 01:13:04,947 they're going home. 1403 01:13:06,615 --> 01:13:10,586 I can't save everybody, but I will be able 1404 01:13:10,619 --> 01:13:12,454 to save somebody. 1405 01:13:12,488 --> 01:13:13,989 That gives me strength. 1406 01:13:15,157 --> 01:13:16,892 People do recover from this disease, 1407 01:13:16,925 --> 01:13:20,763 and a lot of people don't have catastrophic illness with 1408 01:13:20,796 --> 01:13:24,066 this disease, and I have to remind myself of that 1409 01:13:24,099 --> 01:13:25,267 sort of every day. 1410 01:13:25,300 --> 01:13:29,104 I have a weird and unique existence right now where I live 1411 01:13:29,138 --> 01:13:32,775 in the thick of only seeing the sickest patients 1412 01:13:32,808 --> 01:13:34,910 with this disease. 1413 01:13:34,943 --> 01:13:38,180 And that can warp my reality sometimes. 1414 01:13:49,958 --> 01:13:51,727 - Especially my co-workers that I work with, 1415 01:13:51,760 --> 01:13:54,830 I think everyone's kind of finding their own way of 1416 01:13:54,863 --> 01:13:58,000 achieving this, like, perfect state of mental health and 1417 01:13:58,033 --> 01:14:01,970 being able to rely on each other, confide in each other. 1418 01:14:03,872 --> 01:14:06,809 Like, that workplace camaraderie has been probably at its 1419 01:14:06,842 --> 01:14:08,977 highest point that it's ever been. 1420 01:14:14,550 --> 01:14:18,120 - I work with the most amazing people, 1421 01:14:18,153 --> 01:14:21,723 which is why I have been in this hospital for 24 years. 1422 01:14:21,757 --> 01:14:23,659 We're a family. 1423 01:14:27,062 --> 01:14:32,067 - There were doctors who kind of took that hat off and, and did 1424 01:14:32,768 --> 01:14:36,839 anything and everything to help the nurses and explain things 1425 01:14:36,872 --> 01:14:39,608 and start from the beginning and the basics. 1426 01:14:40,709 --> 01:14:44,079 The level of teamwork was really amazing. 1427 01:14:44,947 --> 01:14:47,683 - The wonderful thing about emergency medicine: At its core, 1428 01:14:47,716 --> 01:14:48,484 it's a team sport. 1429 01:14:48,517 --> 01:14:51,687 You rely on your fellow residents, 1430 01:14:51,720 --> 01:14:53,722 physicians, nurses, techs, everybody, 1431 01:14:53,755 --> 01:14:55,858 to get a job done. 1432 01:14:56,892 --> 01:14:59,895 - We vent to each other, uh, we blow off steam, 1433 01:14:59,928 --> 01:15:02,698 we'll, like, curse to each other if it's a really difficult 1434 01:15:02,731 --> 01:15:05,868 situation, and we're really there for each other, 1435 01:15:05,901 --> 01:15:08,737 which I think has been absolutely essential. 1436 01:15:09,605 --> 01:15:12,174 You find that, like most of your social interactions 1437 01:15:12,207 --> 01:15:14,176 are with your residents right now. 1438 01:15:14,209 --> 01:15:18,080 There is a sense of unity at the hospital that... it's unique. 1439 01:15:18,113 --> 01:15:20,883 I've never felt that true bond. 1440 01:15:20,916 --> 01:15:25,087 You have a tough time relating with your outside-of-medicine 1441 01:15:25,120 --> 01:15:27,356 friends because they're just having such a different 1442 01:15:27,389 --> 01:15:29,958 experience than we are. 1443 01:15:30,392 --> 01:15:33,362 - There really isn't anybody else who can ever understand what it 1444 01:15:33,395 --> 01:15:37,733 is we've just gone through, except for the people I worked 1445 01:15:37,766 --> 01:15:41,904 shoulder-to-shoulder with every day in the emergency department. 1446 01:15:41,937 --> 01:15:45,607 I feel bonded to them for life. 1447 01:15:46,975 --> 01:15:48,644 Our healthcare workers, 1448 01:15:48,677 --> 01:15:53,682 who are doing God's work, when you see them on the street, 1449 01:15:54,182 --> 01:15:57,619 when you see them in a hospital, please, 1450 01:15:57,653 --> 01:16:01,924 just say "Thank you" and smile and say "I know what 1451 01:16:01,957 --> 01:16:02,891 you're doing." 1452 01:16:02,925 --> 01:16:03,859 Cheering, clapping, 1453 01:16:03,892 --> 01:16:06,762 banging pots and pans, all around the city, 1454 01:16:06,795 --> 01:16:09,231 New Yorkers are giving a round of applause to healthcare 1455 01:16:09,264 --> 01:16:12,768 workers out their windows. 1456 01:16:12,801 --> 01:16:15,771 - We've seen awful, terrible things, 1457 01:16:15,804 --> 01:16:19,341 but we've seen people come together and some 1458 01:16:19,374 --> 01:16:23,645 amazing parts of humanity. 1459 01:16:24,980 --> 01:16:26,949 I think that seven o'clock cheer is 1460 01:16:26,982 --> 01:16:30,819 very reminiscent of that feeling of, of running the marathon. 1461 01:16:30,852 --> 01:16:33,989 Um, that, like, goosebumps, chills feeling that, 1462 01:16:34,022 --> 01:16:37,993 you know... this city is so big and there are so many of us but 1463 01:16:38,026 --> 01:16:41,830 we're really all here for each other. 1464 01:16:42,464 --> 01:16:46,435 I grew up here in East Elmhurst. 1465 01:16:46,468 --> 01:16:49,271 I think I take full pride in being a born-and-bred 1466 01:16:49,304 --> 01:16:50,973 New Yorker. 1467 01:16:51,006 --> 01:16:52,774 It's... it, it feels good. 1468 01:16:52,808 --> 01:16:55,177 It feels like, you know, the city's got your back. 1469 01:16:55,210 --> 01:16:57,879 Like, they... like, New York is thanking you. 1470 01:16:57,913 --> 01:16:59,181 Thank you guys! 1471 01:16:59,214 --> 01:17:01,450 Thank you so much! 1472 01:17:01,483 --> 01:17:03,018 Wow. 1473 01:17:03,051 --> 01:17:05,954 - This one couple, um, that every night, 1474 01:17:05,988 --> 01:17:08,824 seven o'clock, are outside the hospital, 1475 01:17:08,857 --> 01:17:12,127 um, with signs... "Thank you" signs... and cheering. 1476 01:17:12,160 --> 01:17:14,863 Um, it's been night after night. 1477 01:17:14,896 --> 01:17:17,833 I don't know who they are. I need to find out. 1478 01:17:17,866 --> 01:17:20,335 - Just driving home, I passed our local hospital. 1479 01:17:20,369 --> 01:17:23,839 Um, people sitting outside with, um, 1480 01:17:23,872 --> 01:17:26,308 pom-poms and streamers screaming, 1481 01:17:26,341 --> 01:17:28,310 uh, "Thank you, healthcare workers." 1482 01:17:28,343 --> 01:17:30,479 Uh, and I, of course, started crying driving home 1483 01:17:30,512 --> 01:17:32,381 so I had to pull over. 1484 01:17:32,414 --> 01:17:34,483 I love New York. 1485 01:17:34,516 --> 01:17:37,319 The other day, my 11-year-old called me and said, 1486 01:17:37,352 --> 01:17:41,723 "Mom, somebody knock on our door and just brought us food." 1487 01:17:41,757 --> 01:17:46,161 I thought that was amazing, how everybody is trying to help each 1488 01:17:46,194 --> 01:17:50,499 other, you know, to fight this. 1489 01:17:50,532 --> 01:17:52,934 Someone pulled up and rolled down their window. 1490 01:17:52,968 --> 01:17:56,004 Being a New Yorker, immediately got a little scared that 1491 01:17:56,038 --> 01:17:57,873 I cut them off or something, 1492 01:17:57,906 --> 01:18:01,376 and she just started clapping and cheering and was saying, 1493 01:18:01,410 --> 01:18:05,881 "Thank you, God bless you, thank you for all you do." 1494 01:18:05,914 --> 01:18:10,919 - Someone had come and put a rose on everybody's car. 1495 01:18:11,319 --> 01:18:13,455 At first, I though maybe my husband came by 1496 01:18:13,488 --> 01:18:15,090 and did it for me. 1497 01:18:15,123 --> 01:18:18,226 But looking around, I saw all the roses. 1498 01:18:18,260 --> 01:18:23,732 And it just gave you a sense of "We're doing this for a reason." 1499 01:18:24,199 --> 01:18:26,101 My grandfather was a member of the 1500 01:18:26,134 --> 01:18:28,770 Air National Guard, and he was really my role model. 1501 01:18:28,804 --> 01:18:31,039 I lost him, um, early on in life to, 1502 01:18:31,073 --> 01:18:34,042 you know... to his having cancer. 1503 01:18:34,076 --> 01:18:37,112 He used to fly in C-130s, and sure enough, 1504 01:18:37,145 --> 01:18:40,082 on May 15th, which was the anniversary of my grandfather's 1505 01:18:40,115 --> 01:18:43,385 passing, what flies over my hospital? 1506 01:18:43,418 --> 01:18:46,388 A C-130 with the Air National Guard. 1507 01:18:46,421 --> 01:18:48,457 My mother was like, "That's your grandfather looking 1508 01:18:48,490 --> 01:18:49,791 down on you." 1509 01:18:51,426 --> 01:18:55,063 The support that we received from the community 1510 01:18:55,097 --> 01:18:59,935 was just overwhelming and... 1511 01:18:59,968 --> 01:19:02,104 meant so much. 1512 01:19:08,276 --> 01:19:12,080 - I try to leave work at work, and when I come home, 1513 01:19:12,114 --> 01:19:15,951 it's really just, you know, time with the kids. 1514 01:19:15,984 --> 01:19:17,385 My daughter, she's my angel. 1515 01:19:17,419 --> 01:19:19,554 My daughter knows that when Daddy's having a rough day, 1516 01:19:19,588 --> 01:19:22,157 if I say, "Sophia, come give Daddy a little medicine," 1517 01:19:22,190 --> 01:19:27,195 that means she has to give Daddy a hug. 1518 01:19:28,029 --> 01:19:33,034 - My inspiration every day were my children, 1519 01:19:33,869 --> 01:19:38,473 because I think I've learned they truly look up to me 1520 01:19:38,507 --> 01:19:42,110 and respect me. 1521 01:19:42,144 --> 01:19:45,981 - My passion that's driving me day in and day out is to, 1522 01:19:46,014 --> 01:19:49,117 one day soon, to be able to hold my niece. 1523 01:19:49,151 --> 01:19:52,053 I don't want her to forget me and I want her to 1524 01:19:52,087 --> 01:19:55,023 be able to recognize my face and my voice. 1525 01:19:55,056 --> 01:19:58,627 - My family is always by hugest support and, 1526 01:19:58,660 --> 01:20:03,131 um, gives me my, my greatest strength. 1527 01:20:03,165 --> 01:20:05,100 - My boyfriend has definitely taken on the role 1528 01:20:05,133 --> 01:20:07,469 of cheerleader for me. 1529 01:20:07,502 --> 01:20:10,172 I think his words of affirmation have really kept me 1530 01:20:10,205 --> 01:20:15,310 going and made me see things in myself that maybe in that moment 1531 01:20:15,343 --> 01:20:18,180 I wasn't capable of seeing. 1532 01:20:18,213 --> 01:20:21,516 - My husband is a Staff Sergeant in the Army. 1533 01:20:21,550 --> 01:20:23,885 Thinking about seeing my husband again 1534 01:20:23,919 --> 01:20:29,191 is what I think about every night. 1535 01:20:30,358 --> 01:20:33,161 - My cope and my strength... 1536 01:20:33,195 --> 01:20:35,230 comes from my husband, 1537 01:20:35,263 --> 01:20:39,334 'cause every night, he'll call me at the hotel, 1538 01:20:39,367 --> 01:20:42,404 and then we will pray. 1539 01:20:42,437 --> 01:20:47,142 This necklace was given to me by my husband on 1540 01:20:47,175 --> 01:20:50,178 my 20th wedding anniversary. 1541 01:20:50,212 --> 01:20:55,083 Any time I put it on, I feel like it's my lucky charm. 1542 01:20:55,317 --> 01:20:57,586 - Mommy! 1543 01:20:57,619 --> 01:21:00,355 - Getting to see my family again was the best, 1544 01:21:00,388 --> 01:21:04,526 and it was the first moment I felt any semblance of normalcy 1545 01:21:04,559 --> 01:21:09,431 in almost two months, um, and it was much needed. 1546 01:21:09,464 --> 01:21:13,101 I just tried my best to be in that moment. 1547 01:21:13,134 --> 01:21:16,137 Oh my God, just hugging my kids and seeing them excited 1548 01:21:16,171 --> 01:21:19,407 and smile... it was the best. 1549 01:21:23,578 --> 01:21:25,247 This has been hard. 1550 01:21:25,280 --> 01:21:27,282 It's put everyone under pressure. 1551 01:21:27,315 --> 01:21:31,386 The beauty you see and the strength that you see 1552 01:21:31,419 --> 01:21:34,990 compensates and balances for the weakness. 1553 01:21:35,023 --> 01:21:39,294 And I get inspired by the strength, 1554 01:21:39,327 --> 01:21:44,332 so I can tolerate the heartbreak of the weakness. 1555 01:21:45,300 --> 01:21:48,270 And it's that generosity of spirit, 1556 01:21:48,303 --> 01:21:53,108 for me, makes up for all the ugliness that you see. 1557 01:21:55,777 --> 01:22:00,982 - We're fragile, humans, and I think I've learned the fragility 1558 01:22:01,683 --> 01:22:05,987 of humans during this pandemic. 1559 01:22:06,021 --> 01:22:09,758 - If this pandemic showed me anything... 1560 01:22:09,791 --> 01:22:12,294 there's still so much to learn in nursing for me, 1561 01:22:12,327 --> 01:22:15,597 there's still so much out there. 1562 01:22:15,630 --> 01:22:19,634 - I'll always look back on these moments and, and remember the 1563 01:22:19,668 --> 01:22:23,638 difficult times but also remember the strength that it 1564 01:22:23,672 --> 01:22:27,776 took us as healthcare workers to get through it and the support 1565 01:22:27,809 --> 01:22:32,047 of my colleagues and of my friends that I work with. 1566 01:22:32,347 --> 01:22:34,482 - I see... 1567 01:22:34,516 --> 01:22:41,189 how people are blissfully unaware of what's going on in 1568 01:22:41,222 --> 01:22:45,026 the hospital, and I'm grateful for that because I don't think 1569 01:22:45,060 --> 01:22:49,297 everybody should have to see what we see. 1570 01:22:49,331 --> 01:22:53,501 But just appreciate being home, appreciate that you have the 1571 01:22:53,535 --> 01:22:58,173 opportunity to stay home and to stay safe. 1572 01:22:58,206 --> 01:23:00,809 - I hope it doesn't take you having to see how bad 1573 01:23:00,842 --> 01:23:03,778 this disease can be for you to, you know... 1574 01:23:05,347 --> 01:23:09,351 love your family, hold them tight, 1575 01:23:09,384 --> 01:23:13,421 and, um, not take anything for granted. 1576 01:23:13,455 --> 01:23:18,259 - I wish all those out there could come into the floor 1577 01:23:18,293 --> 01:23:22,230 or the operating room and see people dying. 1578 01:23:22,263 --> 01:23:25,400 It shut down your organs. 1579 01:23:25,433 --> 01:23:29,404 They can't breathe. 1580 01:23:29,437 --> 01:23:33,408 This is a deadly disease. 1581 01:23:33,441 --> 01:23:37,412 We see the numbers as if it's, 1582 01:23:37,445 --> 01:23:40,515 you know, lottery winnings or if it's how many hours to 1583 01:23:40,548 --> 01:23:42,217 the next debate. 1584 01:23:42,250 --> 01:23:45,854 Look at those numbers and, uh, see them as real people, 1585 01:23:45,887 --> 01:23:48,356 people that had lives, that woke up, 1586 01:23:48,390 --> 01:23:51,126 that went to work, that have families, 1587 01:23:51,159 --> 01:23:56,231 that have children, that thought that they were going to maybe 1588 01:23:56,264 --> 01:23:58,266 achieve something, or maybe they were getting ready 1589 01:23:58,299 --> 01:24:00,502 for retirement or maybe they were retired but they 1590 01:24:00,535 --> 01:24:02,570 had lives, they have families. 1591 01:24:02,604 --> 01:24:04,372 Um... 1592 01:24:04,406 --> 01:24:08,710 and my advice is to sometimes just take a step back and 1593 01:24:08,743 --> 01:24:13,148 think about... think about that. 1594 01:24:13,181 --> 01:24:16,284 Cherish life. 1595 01:24:17,752 --> 01:24:21,423 The challenge is, and I say this very sadly, 1596 01:24:21,456 --> 01:24:24,392 that the coronavirus is alive and well and living in 1597 01:24:24,426 --> 01:24:25,794 New York City. 1598 01:24:25,827 --> 01:24:28,630 Yes, there's been real important progress and 1599 01:24:28,663 --> 01:24:30,265 we can and will make more, 1600 01:24:30,298 --> 01:24:34,169 but we're still very much in this fight. 1601 01:24:34,202 --> 01:24:36,371 We cannot forget what we're up against and 1602 01:24:36,404 --> 01:24:37,605 the power of this disease, 1603 01:24:37,639 --> 01:24:41,276 but if we find our own power, if we act on our own power, 1604 01:24:41,309 --> 01:24:43,511 I'm also convinced we will prevail. 1605 01:24:45,180 --> 01:24:47,749 - The future's pretty far aware for us. 1606 01:24:47,782 --> 01:24:50,585 I don't think we can see it so clearly yet. 1607 01:24:50,618 --> 01:24:53,421 I think I'm still gonna be anxious about it. 1608 01:24:53,455 --> 01:24:56,758 Anxious that maybe I saw a kid with COVID three days prior and 1609 01:24:56,791 --> 01:24:59,594 I have no symptoms and suddenly, you know, 1610 01:24:59,627 --> 01:25:03,598 my little daughter has it and she's hugging Nanny. 1611 01:25:03,631 --> 01:25:07,335 You know, that's, that's a fear. 1612 01:25:08,369 --> 01:25:09,537 Professionally, I'm saying, "Okay, 1613 01:25:09,571 --> 01:25:11,306 so we need to not get lax, 1614 01:25:11,339 --> 01:25:12,874 we need to stay prepared, stay ready." 1615 01:25:12,907 --> 01:25:16,344 I would think naturally, we're gonna see an uptick in cases. 1616 01:25:16,744 --> 01:25:18,480 - I'm not sure what the solution is. 1617 01:25:18,513 --> 01:25:22,250 We can get into politics but I don't wanna go there. 1618 01:25:22,283 --> 01:25:24,285 I think that, uh, if there's anything 1619 01:25:24,319 --> 01:25:26,654 that's gonna destroy science, it's politics. 1620 01:25:28,423 --> 01:25:32,327 - We still have quite a few patients and we're still working 1621 01:25:32,360 --> 01:25:35,597 very hard and we're still living the same realities 1622 01:25:35,630 --> 01:25:37,365 we did weeks ago. 1623 01:25:37,398 --> 01:25:41,636 - If this virus were to hit at peak flu season, 1624 01:25:41,669 --> 01:25:44,539 at a point when hospital was closer to capacity and there 1625 01:25:44,572 --> 01:25:48,376 were more sick people, I, I fear that. 1626 01:25:49,377 --> 01:25:51,279 - I hope we move in the right direction. 1627 01:25:51,312 --> 01:25:53,848 I pray that we move in the right direction, because if 1628 01:25:53,882 --> 01:25:56,818 we don't... we've lost everything. 1629 01:25:56,851 --> 01:26:00,388 - Questions are definitely gonna be... 1630 01:26:00,421 --> 01:26:05,360 need to be addressed and conversations need to be had... 1631 01:26:05,393 --> 01:26:10,398 above and beyond how much is expected of our profession. 1632 01:26:10,431 --> 01:26:12,500 - This is different, this is a marathon, 1633 01:26:12,534 --> 01:26:15,737 and we're gonna have moments where we're lulled into thinking 1634 01:26:15,770 --> 01:26:18,740 it's over, and I'm sure we're gonna get pummeled again at 1635 01:26:18,773 --> 01:26:23,378 points, and I think it's just trying to be easy on all of 1636 01:26:23,411 --> 01:26:26,948 ourselves and be kind to ourselves. 1637 01:26:28,283 --> 01:26:32,020 - Even with the SARS outbreak, the MERS outbreak, 1638 01:26:32,053 --> 01:26:35,723 the Ebola, Hantavirus, all of those, 1639 01:26:35,757 --> 01:26:40,562 they've all been difficult viruses to maintain and treat, 1640 01:26:40,595 --> 01:26:44,566 but never have we seen anything that... 1641 01:26:44,599 --> 01:26:47,502 mimics what we're seeing now. 1642 01:26:48,403 --> 01:26:51,039 I think we like to all think we're really tough, 1643 01:26:51,072 --> 01:26:54,442 that we can sort of handle anything that comes our way. 1644 01:26:54,475 --> 01:26:55,710 When you're the helper, 1645 01:26:55,743 --> 01:26:58,580 it feels odd, it doesn't feel natural, 1646 01:26:58,613 --> 01:27:01,950 it doesn't feel right to ask for help. 1647 01:27:02,450 --> 01:27:06,054 And I really do worry about that part of us and... as a community 1648 01:27:06,087 --> 01:27:08,590 and what that will mean for us down the road 1649 01:27:08,623 --> 01:27:10,491 and in the thick of this. 1650 01:27:10,525 --> 01:27:12,727 There will be an end in sight. 1651 01:27:12,760 --> 01:27:15,430 At some point, there will be a vaccine. 1652 01:27:15,463 --> 01:27:17,498 This isn't the end of humanity. 1653 01:27:17,532 --> 01:27:21,603 Um, we'll get through this, it's just a... it's really more of a 1654 01:27:21,636 --> 01:27:24,606 question of how much more damage will we do before we 1655 01:27:24,639 --> 01:27:25,740 get to that point? 1656 01:27:25,773 --> 01:27:28,576 And I don't think anybody knows. 1657 01:27:28,610 --> 01:27:31,446 - I mean, I know there's such a divide right now. 1658 01:27:31,479 --> 01:27:36,484 And I, I try and be understanding... 1659 01:27:37,018 --> 01:27:40,088 because I don't understand the other side of the world. 1660 01:27:40,121 --> 01:27:41,656 I still have my job. 1661 01:27:41,689 --> 01:27:43,625 Financially, I haven't been hit. 1662 01:27:43,658 --> 01:27:48,663 And I try and understand because they don't understand our side. 1663 01:27:48,696 --> 01:27:52,634 So we need to bridge this divide and we need to see each other's 1664 01:27:52,667 --> 01:27:54,936 side and be a little bit more patient. 1665 01:27:54,969 --> 01:27:58,773 And the bottom line is I, I think we did do a good thing. 1666 01:27:58,806 --> 01:28:03,811 I think we did stop this from getting so much worse. 1667 01:28:04,045 --> 01:28:07,949 Uh, the curve is coming down and I pray it stays that way. 1668 01:28:07,982 --> 01:28:12,987 I pray there's not another wave of this in the future. 1669 01:28:17,558 --> 01:28:20,695 The pandemic has shown us that there is no health 1670 01:28:20,728 --> 01:28:23,564 without health workers. 1671 01:28:23,598 --> 01:28:27,001 More than kindness, more than love, 1672 01:28:27,035 --> 01:28:32,040 compassion is the emotion that most makes us human. 1673 01:28:34,842 --> 01:28:36,678 The healthcare industry, I think, is 1674 01:28:36,711 --> 01:28:38,880 a different group, it's a different set of people. 1675 01:28:38,913 --> 01:28:41,683 They are the ones that wanna learn a little bit more 1676 01:28:41,716 --> 01:28:45,019 so that we can do a little bit better for our patients. 1677 01:28:45,787 --> 01:28:50,058 - I know, when I leave work, I try my absolute hardest for 1678 01:28:50,091 --> 01:28:51,893 every patient I see. 1679 01:28:51,926 --> 01:28:56,864 And I have to continue on that kind of work and I have to rely 1680 01:28:56,898 --> 01:28:59,534 on that work ethic and try to help them. 1681 01:29:01,069 --> 01:29:05,973 It's a deep-seated calling and a call to help. 1682 01:29:06,007 --> 01:29:08,676 - You know, I figure if I can get through this... 1683 01:29:08,710 --> 01:29:10,912 then I can get through anything, 'cause this is 1684 01:29:10,945 --> 01:29:13,715 one of the toughest things I've ever experienced. 1685 01:29:14,749 --> 01:29:17,618 - What I've seen is a, uh... an evolution of our staff. 1686 01:29:17,652 --> 01:29:20,555 You see people who start with that fear that I talked about 1687 01:29:20,588 --> 01:29:24,726 to, to just kind of morphing into these, these warriors, 1688 01:29:24,759 --> 01:29:28,730 really just going up, uh, and beyond what they usually do. 1689 01:29:30,098 --> 01:29:33,868 I had offered my staff the ability to either stay 1690 01:29:33,901 --> 01:29:36,471 home or come to work. 1691 01:29:36,504 --> 01:29:40,074 I did have a group that wished to stay to help me. 1692 01:29:40,108 --> 01:29:45,113 And I, I can't even form words to say how grateful I am. 1693 01:29:46,114 --> 01:29:50,585 That selfless act... I'm just in awe of them. 1694 01:29:51,619 --> 01:29:53,788 - The satisfaction... 1695 01:29:53,821 --> 01:29:58,826 in seeing somebody getting better makes me feel good. 1696 01:30:01,162 --> 01:30:04,098 I love my family... 1697 01:30:04,132 --> 01:30:06,934 but I love my job. 1698 01:30:07,969 --> 01:30:10,938 The nurses are, are the backbone of, 1699 01:30:10,972 --> 01:30:11,906 of medicine. 1700 01:30:11,939 --> 01:30:16,077 They're the ones who deliver what we order. 1701 01:30:16,110 --> 01:30:18,746 I can type in an order and say "This patient 1702 01:30:18,780 --> 01:30:21,115 needs that" but, you know, that's simple. 1703 01:30:21,149 --> 01:30:23,251 The nurses take care of the human part. 1704 01:30:23,284 --> 01:30:27,955 Um, and they, they really do that in a way that you know 1705 01:30:27,989 --> 01:30:28,956 they care for them. 1706 01:30:28,990 --> 01:30:33,127 They care for them as people, as human beings. 1707 01:30:33,161 --> 01:30:37,131 - It's a lot about setting aside that level of comfort, 1708 01:30:37,165 --> 01:30:39,667 because my, my comfort doesn't matter. 1709 01:30:39,700 --> 01:30:42,170 What exactly can we do to save this person's life? 1710 01:30:42,203 --> 01:30:45,706 It's not about my comfort level. 1711 01:30:46,841 --> 01:30:50,611 - I think going to work has... it's been hard but... 1712 01:30:50,645 --> 01:30:52,947 I wish this wasn't happening, I wish people weren't 1713 01:30:52,980 --> 01:30:56,784 going through this, but if given a choice to stay home or go to 1714 01:30:56,818 --> 01:31:00,822 the hospital and be a nurse, I wouldn't change anything. 1715 01:31:02,323 --> 01:31:06,527 Before this pandemic, I was... 1716 01:31:06,561 --> 01:31:09,030 uncertain if I should be a nurse. 1717 01:31:09,063 --> 01:31:13,534 Nursing is exhausting, it has a very high burn-out rate, 1718 01:31:13,568 --> 01:31:15,837 especially when you're working night shift. 1719 01:31:15,870 --> 01:31:19,974 But this pandemic kind of changed that. 1720 01:31:20,007 --> 01:31:23,578 I am very grateful to be a nurse right now. 1721 01:31:23,611 --> 01:31:27,682 I have a skill-set that gives me a sense of purpose, 1722 01:31:27,715 --> 01:31:31,185 and I get to go to work every day and do something to try and 1723 01:31:31,219 --> 01:31:33,754 make it better. 1724 01:31:33,788 --> 01:31:38,793 - There is no one there who doesn't deserve thanks. 1725 01:31:39,026 --> 01:31:40,995 No one. 1726 01:31:41,028 --> 01:31:43,731 Uh, how do you thank them? 1727 01:31:43,764 --> 01:31:47,001 How do you thank somebody for devoting their life to 1728 01:31:47,034 --> 01:31:51,072 someone else's? 1729 01:31:51,105 --> 01:31:53,241 There's no way of thanking them. 1730 01:31:53,274 --> 01:31:55,943 Um, we can't afford to give them raises and, 1731 01:31:55,977 --> 01:31:59,080 and that's no thanks either. Um, it's not enough. 1732 01:31:59,113 --> 01:32:01,215 You can give them food, you can give them 1733 01:32:01,249 --> 01:32:04,785 bottles of wine, you can give them the day off, 1734 01:32:04,819 --> 01:32:06,754 but... 1735 01:32:06,787 --> 01:32:10,358 you really can't thank them for what they're doing. 1736 01:32:10,391 --> 01:32:13,194 - We're trying to make a difference and we're hoping we 1737 01:32:13,227 --> 01:32:15,196 did, um... 1738 01:32:15,229 --> 01:32:17,031 big or small. 1739 01:32:17,064 --> 01:32:20,635 And it's, it's, it's... it really is an honor to do what 1740 01:32:20,668 --> 01:32:22,870 we're doing. 1741 01:32:22,904 --> 01:32:24,906 - Just don't thank me. 1742 01:32:24,939 --> 01:32:29,377 Just wear the mask, social distancing, 1743 01:32:29,410 --> 01:32:31,612 and wash your hands and stay safe. 1744 01:32:31,646 --> 01:32:33,915 That's the "thank you" I want. 1745 01:32:56,704 --> 01:32:58,940 - Why did I come here tonight to talk? 1746 01:32:58,973 --> 01:33:01,976 Um, to chat with you, to, to do this film, 1747 01:33:02,009 --> 01:33:03,110 this documentary? 1748 01:33:03,144 --> 01:33:05,680 Um... 1749 01:33:05,713 --> 01:33:08,783 - When Sarah told me about the project, 1750 01:33:08,816 --> 01:33:11,953 all I asked Sarah was... 1751 01:33:11,986 --> 01:33:14,789 "Would it reach an audience?" 1752 01:33:14,822 --> 01:33:20,261 And I think even if somebody hear what I have to say, 1753 01:33:20,294 --> 01:33:22,997 at least I did something good. 1754 01:33:23,030 --> 01:33:25,866 Just to at least save one person. 1755 01:33:25,900 --> 01:33:30,972 - I think it's important to see... the human side 1756 01:33:31,005 --> 01:33:32,106 of all of this. 1757 01:33:32,139 --> 01:33:36,143 Um, to hear about what it was like in the hospital. 1758 01:33:36,177 --> 01:33:39,847 - I think it's important to know about the individual and why 1759 01:33:39,880 --> 01:33:41,983 they do what they do and who are they, 1760 01:33:42,016 --> 01:33:45,019 as opposed to, you know, what's going on just at work, 1761 01:33:45,052 --> 01:33:47,188 because before this pandemic, prior... uh, 1762 01:33:47,221 --> 01:33:49,957 after this pandemic, we... we are people 1763 01:33:49,991 --> 01:33:51,892 and we have our own lives. 1764 01:33:51,926 --> 01:33:55,830 - Um, and I think it's really important to get that word out 1765 01:33:55,863 --> 01:33:59,133 and that perspective out so that the community can continue to 1766 01:33:59,166 --> 01:34:04,038 rally around that, even when we all get really tired of having 1767 01:34:04,071 --> 01:34:07,008 to stay home and having to do the things that we don't 1768 01:34:07,041 --> 01:34:09,343 wanna do anymore, like socially distance, 1769 01:34:09,377 --> 01:34:14,215 wear a mask, um, not go see our older loved ones. 1770 01:34:14,915 --> 01:34:17,351 - I want to get the message out there and put 1771 01:34:17,385 --> 01:34:20,221 some meaning behind those numbers that we see on TV, 1772 01:34:20,254 --> 01:34:23,991 put some meaning behind, um, the success stories, 1773 01:34:24,025 --> 01:34:29,030 and put some meaning behind what we normally do on a day-to-day 1774 01:34:29,363 --> 01:34:34,368 basis, how we help each other, how humanity is supposed to be. 1775 01:34:35,269 --> 01:34:39,240 - I wanted to be a part of this project so people remembered the 1776 01:34:39,273 --> 01:34:43,911 positive parts about this, that people came together, 1777 01:34:43,944 --> 01:34:48,015 and that we saw goodness. 1778 01:34:48,049 --> 01:34:51,185 - I was just hoping to... 1779 01:34:51,218 --> 01:34:55,756 be a voice for the amazing people I work with, 1780 01:34:55,790 --> 01:34:58,926 and to shine a light on what we do and just how important 1781 01:34:58,959 --> 01:35:02,063 this is, what we're fighting for in there, 1782 01:35:02,096 --> 01:35:04,765 what we're fighting for in that unit. 1783 01:35:05,099 --> 01:35:07,435 - Um, long after this is over... 1784 01:35:07,468 --> 01:35:11,305 we can't forget the things that we learned from this pandemic. 1785 01:35:13,574 --> 01:35:18,779 - If I can... in just a small way... get people to think about... 1786 01:35:21,949 --> 01:35:25,920 their neighbors, their friends, or even people they don't know 1787 01:35:25,953 --> 01:35:28,556 in a, in a, in a lighter manner, 1788 01:35:28,589 --> 01:35:31,225 in a, in a more pleasant manner, 1789 01:35:31,258 --> 01:35:35,796 then I've probably accomplished more with coming out here 1790 01:35:35,830 --> 01:35:38,833 than I did in the last three months. 136274

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.