Awareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic : A cross-sectional survey across 57 countries
BACKGROUND: Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time of the first wave.
METHODS: This multinational, multicenter, cross-sectional survey was conducted among hospital HCWs from February to May 2020. We used a hierarchical logistic regression multivariate analysis to adjust the influence of variables based on awareness and preparedness. We then used association rule mining to identify relationships between HCW confidence in handling suspected COVID-19 patients and prior COVID-19 case-management training.
RESULTS: We surveyed 24,653 HCWs from 371 hospitals across 57 countries and received 17,302 responses from 70.2% HCWs overall. The median COVID-19 preparedness score was 11.0 (interquartile range [IQR] = 6.0-14.0) and the median awareness score was 29.6 (IQR = 26.6-32.6). HCWs at COVID-19 designated facilities with previous outbreak experience, or HCWs who were trained for dealing with the SARS-CoV-2 outbreak, had significantly higher levels of preparedness and awareness (p<0.001). Association rule mining suggests that nurses and doctors who had a 'great-extent-of-confidence' in handling suspected COVID-19 patients had participated in COVID-19 training courses. Male participants (mean difference = 0.34; 95% CI = 0.22, 0.46; p<0.001) and nurses (mean difference = 0.67; 95% CI = 0.53, 0.81; p<0.001) had higher preparedness scores compared to women participants and doctors.
INTERPRETATION: There was an unsurprising high level of awareness and preparedness among HCWs who participated in COVID-19 training courses. However, disparity existed along the lines of gender and type of HCW. It is unknown whether the difference in COVID-19 preparedness that we detected early in the pandemic may have translated into disproportionate SARS-CoV-2 burden of disease by gender or HCW type.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2021 |
|---|---|
| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:16 |
|---|---|
| Enthalten in: |
PloS one - 16(2021), 12 vom: 22., Seite e0258348 |
| Sprache: |
Englisch |
|---|
| Links: |
|---|
| Themen: |
Journal Article |
|---|
| Anmerkungen: |
Date Completed 07.01.2022 Date Revised 04.03.2023 published: Electronic-eCollection Citation Status MEDLINE |
|---|
| doi: |
10.1371/journal.pone.0258348 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM334726387 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM334726387 | ||
| 003 | DE-627 | ||
| 005 | 20231225224325.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1371/journal.pone.0258348 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1115.xml |
| 035 | |a (DE-627)NLM334726387 | ||
| 035 | |a (NLM)34936646 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Huy, Nguyen Tien |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Awareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic |b A cross-sectional survey across 57 countries |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 07.01.2022 | ||
| 500 | |a Date Revised 04.03.2023 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a BACKGROUND: Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time of the first wave | ||
| 520 | |a METHODS: This multinational, multicenter, cross-sectional survey was conducted among hospital HCWs from February to May 2020. We used a hierarchical logistic regression multivariate analysis to adjust the influence of variables based on awareness and preparedness. We then used association rule mining to identify relationships between HCW confidence in handling suspected COVID-19 patients and prior COVID-19 case-management training | ||
| 520 | |a RESULTS: We surveyed 24,653 HCWs from 371 hospitals across 57 countries and received 17,302 responses from 70.2% HCWs overall. The median COVID-19 preparedness score was 11.0 (interquartile range [IQR] = 6.0-14.0) and the median awareness score was 29.6 (IQR = 26.6-32.6). HCWs at COVID-19 designated facilities with previous outbreak experience, or HCWs who were trained for dealing with the SARS-CoV-2 outbreak, had significantly higher levels of preparedness and awareness (p<0.001). Association rule mining suggests that nurses and doctors who had a 'great-extent-of-confidence' in handling suspected COVID-19 patients had participated in COVID-19 training courses. Male participants (mean difference = 0.34; 95% CI = 0.22, 0.46; p<0.001) and nurses (mean difference = 0.67; 95% CI = 0.53, 0.81; p<0.001) had higher preparedness scores compared to women participants and doctors | ||
| 520 | |a INTERPRETATION: There was an unsurprising high level of awareness and preparedness among HCWs who participated in COVID-19 training courses. However, disparity existed along the lines of gender and type of HCW. It is unknown whether the difference in COVID-19 preparedness that we detected early in the pandemic may have translated into disproportionate SARS-CoV-2 burden of disease by gender or HCW type | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Multicenter Study | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Chico, R Matthew |e verfasserin |4 aut | |
| 700 | 1 | |a Huan, Vuong Thanh |e verfasserin |4 aut | |
| 700 | 1 | |a Shaikhkhalil, Hosam Waleed |e verfasserin |4 aut | |
| 700 | 1 | |a Uyen, Vuong Ngoc Thao |e verfasserin |4 aut | |
| 700 | 1 | |a Qarawi, Ahmad Taysir Atieh |e verfasserin |4 aut | |
| 700 | 1 | |a Alhady, Shamael Thabit Mohammed |e verfasserin |4 aut | |
| 700 | 1 | |a Vuong, Nguyen Lam |e verfasserin |4 aut | |
| 700 | 1 | |a Truong, Le Van |e verfasserin |4 aut | |
| 700 | 1 | |a Luu, Mai Ngoc |e verfasserin |4 aut | |
| 700 | 1 | |a Dumre, Shyam Prakash |e verfasserin |4 aut | |
| 700 | 1 | |a Imoto, Atsuko |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Peter N |e verfasserin |4 aut | |
| 700 | 1 | |a Tam, Dao Ngoc Hien |e verfasserin |4 aut | |
| 700 | 1 | |a Ng, Sze Jia |e verfasserin |4 aut | |
| 700 | 1 | |a Hashan, Mohammad Rashidul |e verfasserin |4 aut | |
| 700 | 1 | |a Matsui, Mitsuaki |e verfasserin |4 aut | |
| 700 | 1 | |a Duc, Nguyen Tran Minh |e verfasserin |4 aut | |
| 700 | 1 | |a Karimzadeh, Sedighe |e verfasserin |4 aut | |
| 700 | 1 | |a Koonrungsesomboon, Nut |e verfasserin |4 aut | |
| 700 | 1 | |a Smith, Chris |e verfasserin |4 aut | |
| 700 | 1 | |a Cox, Sharon |e verfasserin |4 aut | |
| 700 | 1 | |a Moji, Kazuhiko |e verfasserin |4 aut | |
| 700 | 1 | |a Hirayama, Kenji |e verfasserin |4 aut | |
| 700 | 1 | |a Linh, Le Khac |e verfasserin |4 aut | |
| 700 | 1 | |a Abbas, Kirellos Said |e verfasserin |4 aut | |
| 700 | 1 | |a Dung, Tran Nu Thuy |e verfasserin |4 aut | |
| 700 | 1 | |a Mohammed Ali Al-Ahdal, Tareq |e verfasserin |4 aut | |
| 700 | 1 | |a Balogun, Emmanuel Oluwadare |e verfasserin |4 aut | |
| 700 | 1 | |a Duy, Nguyen The |e verfasserin |4 aut | |
| 700 | 1 | |a Mohamed Eltaras, Mennatullah |e verfasserin |4 aut | |
| 700 | 1 | |a Huynh, Trang |e verfasserin |4 aut | |
| 700 | 1 | |a Hue, Nguyen Thi Linh |e verfasserin |4 aut | |
| 700 | 1 | |a Khue, Bui Diem |e verfasserin |4 aut | |
| 700 | 1 | |a Gad, Abdelrahman |e verfasserin |4 aut | |
| 700 | 1 | |a Tawfik, Gehad Mohamed |e verfasserin |4 aut | |
| 700 | 1 | |a Kubota, Kazumi |e verfasserin |4 aut | |
| 700 | 1 | |a Nguyen, Hoang-Minh |e verfasserin |4 aut | |
| 700 | 1 | |a Pavlenko, Dmytro |e verfasserin |4 aut | |
| 700 | 1 | |a Trang, Vu Thi Thu |e verfasserin |4 aut | |
| 700 | 1 | |a Vu, Le Thuong |e verfasserin |4 aut | |
| 700 | 1 | |a Hai Yen, Tran |e verfasserin |4 aut | |
| 700 | 1 | |a Yen-Xuan, Nguyen Thi |e verfasserin |4 aut | |
| 700 | 1 | |a Trang, Luong Thi |e verfasserin |4 aut | |
| 700 | 1 | |a Dong, Vinh |e verfasserin |4 aut | |
| 700 | 1 | |a Sharma, Akash |e verfasserin |4 aut | |
| 700 | 1 | |a Dat, Vu Quoc |e verfasserin |4 aut | |
| 700 | 1 | |a Soliman, Mohammed |e verfasserin |4 aut | |
| 700 | 1 | |a Abdul Aziz, Jeza |e verfasserin |4 aut | |
| 700 | 1 | |a Shah, Jaffer |e verfasserin |4 aut | |
| 700 | 1 | |a Hung, Pham Dinh Long |e verfasserin |4 aut | |
| 700 | 1 | |a Jee, Yap Siang |e verfasserin |4 aut | |
| 700 | 1 | |a Phuong, Dang Thuy Ha |e verfasserin |4 aut | |
| 700 | 1 | |a Quynh, Tran Thuy Huong |e verfasserin |4 aut | |
| 700 | 1 | |a Giang, Hoang Thi Nam |e verfasserin |4 aut | |
| 700 | 1 | |a Huynh, Vy Thi Nhat |e verfasserin |4 aut | |
| 700 | 1 | |a Thi, Nguyen Anh |e verfasserin |4 aut | |
| 700 | 1 | |a Dhouibi, Nacir |e verfasserin |4 aut | |
| 700 | 1 | |a Phan, Truc |e verfasserin |4 aut | |
| 700 | 1 | |a Duru, Vincent |e verfasserin |4 aut | |
| 700 | 1 | |a Nam, Nguyen Hai |e verfasserin |4 aut | |
| 700 | 1 | |a Ghozy, Sherief |e verfasserin |4 aut | |
| 700 | 0 | |a contributors of the TMGH-Global COVID-19 Collaborative |e verfasserin |4 aut | |
| 700 | 0 | |a TMGH-Global COVID-19 Collaborative |e verfasserin |4 aut | |
| 700 | 1 | |a Mousavi, Sayed Hamid |e investigator |4 oth | |
| 700 | 1 | |a Zahid, Shafi Ullah |e investigator |4 oth | |
| 700 | 1 | |a Wardak, Kalimullah |e investigator |4 oth | |
| 700 | 1 | |a Nusrat, Farhana |e investigator |4 oth | |
| 700 | 1 | |a Gandhi, Zainab |e investigator |4 oth | |
| 700 | 1 | |a Tochie, Joel Noutakdie |e investigator |4 oth | |
| 700 | 1 | |a Blennerhassett, Michael G |e investigator |4 oth | |
| 700 | 1 | |a Wang, Kefang |e investigator |4 oth | |
| 700 | 1 | |a Shi, Hongcan |e investigator |4 oth | |
| 700 | 1 | |a Ochoa-Toasa, Estefanía |e investigator |4 oth | |
| 700 | 1 | |a Elsayed Hewalla, Mostafa Elsayed |e investigator |4 oth | |
| 700 | 1 | |a Monib, Fatma A |e investigator |4 oth | |
| 700 | 1 | |a Alfadaly, Mahmoud Ali |e investigator |4 oth | |
| 700 | 1 | |a Mahmoud, Mona Hanafy |e investigator |4 oth | |
| 700 | 1 | |a Derballa, Ezz Eldeen Atef |e investigator |4 oth | |
| 700 | 1 | |a Desalegn, Zelalem |e investigator |4 oth | |
| 700 | 1 | |a Tesfa, Tewodros |e investigator |4 oth | |
| 700 | 1 | |a Kin Lam, Rex Pui |e investigator |4 oth | |
| 700 | 1 | |a Syed, Zahiruddin Quazi |e investigator |4 oth | |
| 700 | 1 | |a Harapan, Harapan |e investigator |4 oth | |
| 700 | 1 | |a Hezave, Ali Khanmohamadi |e investigator |4 oth | |
| 700 | 1 | |a Al-Jubouri, Mohammed Baqer |e investigator |4 oth | |
| 700 | 1 | |a Faris, Selman Hussain |e investigator |4 oth | |
| 700 | 1 | |a Al-Fayyadh, Sadeq |e investigator |4 oth | |
| 700 | 1 | |a Turki, Salwa Ghazi |e investigator |4 oth | |
| 700 | 1 | |a Jaafar, Sabah Abdullah |e investigator |4 oth | |
| 700 | 1 | |a Alwan, Iman Hussein |e investigator |4 oth | |
| 700 | 1 | |a Porru, Fabio |e investigator |4 oth | |
| 700 | 1 | |a Greco, Stefano |e investigator |4 oth | |
| 700 | 1 | |a Harada, Nahoko |e investigator |4 oth | |
| 700 | 1 | |a Kubota, Anna |e investigator |4 oth | |
| 700 | 1 | |a Iwashita, Yoshiaki |e investigator |4 oth | |
| 700 | 1 | |a Mizusawa, Takeshi |e investigator |4 oth | |
| 700 | 1 | |a Alomoush, Mallak |e investigator |4 oth | |
| 700 | 1 | |a Osaili, Tareq |e investigator |4 oth | |
| 700 | 1 | |a Emhamed, Marwa Saed Ali |e investigator |4 oth | |
| 700 | 1 | |a Ismail, Ilham Ameera |e investigator |4 oth | |
| 700 | 1 | |a Chua, Kek Heng |e investigator |4 oth | |
| 700 | 1 | |a Jamaluddin, Tengku Zetty Maztura Tengku |e investigator |4 oth | |
| 700 | 1 | |a Gómez Olvera, Brianda Del Pilar |e investigator |4 oth | |
| 700 | 1 | |a Outani, Oumaima |e investigator |4 oth | |
| 700 | 1 | |a Ranabhat, Kamal |e investigator |4 oth | |
| 700 | 1 | |a Dumre, Renu Bhandari |e investigator |4 oth | |
| 700 | 1 | |a Dayyab, Farouq Muhammad |e investigator |4 oth | |
| 700 | 1 | |a Yakubu, Ahmad Abdulmajid |e investigator |4 oth | |
| 700 | 1 | |a Vincent C, Duru |e investigator |4 oth | |
| 700 | 1 | |a Esan, Deborah Tolulope |e investigator |4 oth | |
| 700 | 1 | |a Emmanuel, Pembi |e investigator |4 oth | |
| 700 | 1 | |a Usman, Ahmadu Baba |e investigator |4 oth | |
| 700 | 1 | |a Kumar, Ramesh |e investigator |4 oth | |
| 700 | 1 | |a Shaqoura, Emad I H |e investigator |4 oth | |
| 700 | 1 | |a Shaat, Taj El-Deen |e investigator |4 oth | |
| 700 | 1 | |a Hamad, Loay Hidar |e investigator |4 oth | |
| 700 | 1 | |a Awwad, Abdullah Rasmi |e investigator |4 oth | |
| 700 | 1 | |a Samara, Ahmad |e investigator |4 oth | |
| 700 | 1 | |a Medina, John Robert Carabeo |e investigator |4 oth | |
| 700 | 1 | |a Hilario, Allan Laurio |e investigator |4 oth | |
| 700 | 1 | |a Angeles, Jose Ma Moncada |e investigator |4 oth | |
| 700 | 1 | |a Climacosa, Fresthel Monica Marqueses |e investigator |4 oth | |
| 700 | 1 | |a Mercado, Van Jerwin Purificacion |e investigator |4 oth | |
| 700 | 1 | |a Stefanovic, Srdjan |e investigator |4 oth | |
| 700 | 1 | |a Govender, Indiran |e investigator |4 oth | |
| 700 | 1 | |a Martinez-Portilla, Raigam Jafet |e investigator |4 oth | |
| 700 | 1 | |a Ehelepola, N D B |e investigator |4 oth | |
| 700 | 1 | |a Muthugala, Rohitha |e investigator |4 oth | |
| 700 | 1 | |a Homeida, Anmar |e investigator |4 oth | |
| 700 | 1 | |a Ahmed, Omer |e investigator |4 oth | |
| 700 | 1 | |a Ismail, Asma Yahya |e investigator |4 oth | |
| 700 | 1 | |a Shibani, Mosa |e investigator |4 oth | |
| 700 | 1 | |a Kouz, Basel |e investigator |4 oth | |
| 700 | 1 | |a Ko, Wen-Chien |e investigator |4 oth | |
| 700 | 1 | |a Nochaiwong, Surapon |e investigator |4 oth | |
| 700 | 1 | |a Dahman, Nesrine Ben Hadj |e investigator |4 oth | |
| 700 | 1 | |a Pavlenko, Tetiana |e investigator |4 oth | |
| 700 | 1 | |a Pavlenko, Roman |e investigator |4 oth | |
| 700 | 1 | |a Anesi, George L |e investigator |4 oth | |
| 700 | 1 | |a Tuyen, Pham Ba |e investigator |4 oth | |
| 700 | 1 | |a Chanda, Duncan |e investigator |4 oth | |
| 700 | 1 | |a Shenwari, Hamed |e investigator |4 oth | |
| 700 | 1 | |a Hashimi, Sayed Maseehullah |e investigator |4 oth | |
| 700 | 1 | |a Afzaly, Farwa |e investigator |4 oth | |
| 700 | 1 | |a Noor, Abdul Wahid |e investigator |4 oth | |
| 700 | 1 | |a Alizai, Nasrat |e investigator |4 oth | |
| 700 | 1 | |a Dajti, Irida |e investigator |4 oth | |
| 700 | 1 | |a Kërpaçi, Jola |e investigator |4 oth | |
| 700 | 1 | |a Vrapi, Enxhi |e investigator |4 oth | |
| 700 | 1 | |a Ouerdane, Yassamine |e investigator |4 oth | |
| 700 | 1 | |a Ouerdane, Fella |e investigator |4 oth | |
| 700 | 1 | |a Bouaich, Mohamed ElKhalil |e investigator |4 oth | |
| 700 | 1 | |a Bakhtaoui, Imane |e investigator |4 oth | |
| 700 | 1 | |a Dwyer, Dominic E |e investigator |4 oth | |
| 700 | 1 | |a Taylor, Janette |e investigator |4 oth | |
| 700 | 1 | |a Pulock, Orindom Shing |e investigator |4 oth | |
| 700 | 1 | |a Dey Pinky, Susmita |e investigator |4 oth | |
| 700 | 1 | |a Rafi, Tanjimul Hye |e investigator |4 oth | |
| 700 | 1 | |a Deepanwita, Senjuti |e investigator |4 oth | |
| 700 | 1 | |a Ahsan, Alvee |e investigator |4 oth | |
| 700 | 1 | |a Mahboob, Raisa Nawal |e investigator |4 oth | |
| 700 | 1 | |a Rafi, Abdur |e investigator |4 oth | |
| 700 | 1 | |a Habib, Ahsan |e investigator |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t PloS one |d 2006 |g 16(2021), 12 vom: 22., Seite e0258348 |w (DE-627)NLM167327399 |x 1932-6203 |7 nnns |
| 773 | 1 | 8 | |g volume:16 |g year:2021 |g number:12 |g day:22 |g pages:e0258348 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1371/journal.pone.0258348 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 16 |j 2021 |e 12 |b 22 |h e0258348 | ||