Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh

This article was published in The Journal of Global Health [ © 2020 The Author(s) JoGH © 2020 ISGH] and the definite version is available at: https://doi.org/10.1101/2020.09.01.20186445 The Journal's website is at: https://jogh.org/documents/issue202002/jogh-10-020509.pdf

书目详细资料
Main Authors: Do, Duy, Sarker, Malabika, Chen, Simiao, Lenjani, Ali, Tikka, Pauli, Bärnighausen, Till, Geldsetzer, Pascal
其他作者: Brac James P. Grant School of Public Health
格式: Journal Article
语言:en_US
出版: Journal of Global Health 2022
主题:
在线阅读:http://hdl.handle.net/10361/16540
id 10361-16540
record_format dspace
institution Brac University
collection Institutional Repository
language en_US
topic COVID-19
Healthcare workers
Attendance
Health system
Global health
spellingShingle COVID-19
Healthcare workers
Attendance
Health system
Global health
Do, Duy
Sarker, Malabika
Chen, Simiao
Lenjani, Ali
Tikka, Pauli
Bärnighausen, Till
Geldsetzer, Pascal
Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh
description This article was published in The Journal of Global Health [ © 2020 The Author(s) JoGH © 2020 ISGH] and the definite version is available at: https://doi.org/10.1101/2020.09.01.20186445 The Journal's website is at: https://jogh.org/documents/issue202002/jogh-10-020509.pdf
author2 Brac James P. Grant School of Public Health
author_facet Brac James P. Grant School of Public Health
Do, Duy
Sarker, Malabika
Chen, Simiao
Lenjani, Ali
Tikka, Pauli
Bärnighausen, Till
Geldsetzer, Pascal
format Journal Article
author Do, Duy
Sarker, Malabika
Chen, Simiao
Lenjani, Ali
Tikka, Pauli
Bärnighausen, Till
Geldsetzer, Pascal
author_sort Do, Duy
title Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh
title_short Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh
title_full Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh
title_fullStr Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh
title_full_unstemmed Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh
title_sort healthcare worker attendance during the early stages of the covid-19 pandemic: a longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in bangladesh
publisher Journal of Global Health
publishDate 2022
url http://hdl.handle.net/10361/16540
work_keys_str_mv AT doduy healthcareworkerattendanceduringtheearlystagesofthecovid19pandemicalongitudinalanalysisoffingerprintverifieddatafromallpublicsectorsecondaryandtertiarycarefacilitiesinbangladesh
AT sarkermalabika healthcareworkerattendanceduringtheearlystagesofthecovid19pandemicalongitudinalanalysisoffingerprintverifieddatafromallpublicsectorsecondaryandtertiarycarefacilitiesinbangladesh
AT chensimiao healthcareworkerattendanceduringtheearlystagesofthecovid19pandemicalongitudinalanalysisoffingerprintverifieddatafromallpublicsectorsecondaryandtertiarycarefacilitiesinbangladesh
AT lenjaniali healthcareworkerattendanceduringtheearlystagesofthecovid19pandemicalongitudinalanalysisoffingerprintverifieddatafromallpublicsectorsecondaryandtertiarycarefacilitiesinbangladesh
AT tikkapauli healthcareworkerattendanceduringtheearlystagesofthecovid19pandemicalongitudinalanalysisoffingerprintverifieddatafromallpublicsectorsecondaryandtertiarycarefacilitiesinbangladesh
AT barnighausentill healthcareworkerattendanceduringtheearlystagesofthecovid19pandemicalongitudinalanalysisoffingerprintverifieddatafromallpublicsectorsecondaryandtertiarycarefacilitiesinbangladesh
AT geldsetzerpascal healthcareworkerattendanceduringtheearlystagesofthecovid19pandemicalongitudinalanalysisoffingerprintverifieddatafromallpublicsectorsecondaryandtertiarycarefacilitiesinbangladesh
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spelling 10361-165402022-04-12T21:01:36Z Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh Do, Duy Sarker, Malabika Chen, Simiao Lenjani, Ali Tikka, Pauli Bärnighausen, Till Geldsetzer, Pascal Brac James P. Grant School of Public Health COVID-19 Healthcare workers Attendance Health system Global health This article was published in The Journal of Global Health [ © 2020 The Author(s) JoGH © 2020 ISGH] and the definite version is available at: https://doi.org/10.1101/2020.09.01.20186445 The Journal's website is at: https://jogh.org/documents/issue202002/jogh-10-020509.pdf Background The COVID-19 pandemic has overwhelmed hospitals in several areas in high-income countries. An effective response to this pandemic requires health care workers (HCWs) to be present at work, particularly in low- and middle-income countries (LMICs) where they are already in critically low supply. To inform whether and to what degree policymakers in Bangladesh, and LMICs more broadly, should expect a drop in HCW attendance as COVID-19 continues to spread, this study aims to determine how HCW attendance has changed during the early stages of the COVID-19 pandemic in Bangladesh. Methods This study analyzed daily fingerprint-verified attendance data from all 527 public-sector secondary and tertiary care facilities in Bangladesh to describe HCW attendance from January 26, 2019 to March 22, 2020, by cadre, hospital type, and geographic division. We then regressed HCW attendance onto fixed effects for day-of-week, month, and hospital, as well as indicators for each of three pandemic periods: a China-focused period (January 11, 2020 (first confirmed COVID-19 death in China) until January 29, 2020), international-spread period (January 30, 2020 (World Health Organization’s declaration of a global emergency) until March 6, 2020), and local-spread period (March 7, 2020 (first confirmed COVID-19 case in Bangladesh) until the end of the study period). Findings On average between January 26, 2019 and March 22, 2020, 34.1% of doctors, 64.6% of nurses, and 70.6% of other health care staff were present for their scheduled shift. HCWs’ attendance rate increased with time in 2019 among all cadres. Nurses’ attendance level dropped by 2.5% points (95% confidence interval (CI)=-3.2% to -1.8%) and 3.5% points (95% CI=-4.5% to -2.5%) during the international-spread and the local-spread periods of the COVID-19 pandemic, relative to the China-focused period. Similarly, the attendance level of other health care staff declined by 0.3% points (95% CI=-0.8% to 0.2%) and 2.3% points (95% CI=-3.0% to -1.6%) during the international-spread and local-spread periods, respectively. Among doctors, however, the international-spread and local-spread periods were associated with a statistically significant increase in attendance by 3.7% points (95% CI=2.5% to 4.8%) and 4.9% points (95% CI=3.5% to 6.4%), respectively. The reduction in attendance levels across all HCWs during the local-spread period was much greater at large hospitals, where the majority of COVID-19 testing and treatment took place, than that at small hospitals. Conclusions After a year of significant improvements, HCWs’ attendance levels among nurses and other health care staff (who form the majority of Bangladesh’s health care workforce) have declined during the early stages of the COVID-19 pandemic. This finding may portend an even greater decrease in attendance if COVID-19 continues to spread in Bangladesh. Policymakers in Bangladesh and similar LMICs should undertake major efforts to achieve high attendance levels among HCWs, particularly nurses, such as by providing sufficient personal protective equipment as well as monetary and non-monetary incentives Published 2022-04-12T06:19:43Z 2022-04-12T06:19:43Z 2020 2020-12-01 Journal Article Do, D., Sarker, M., Chen, S., Lenjani, A., Tikka, P., Bärnighausen, T., & Geldsetzer, P. (2020). Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh. Journal of Global Health, 10(2), 020509. doi:10.7189/jogh.10.020509 http://hdl.handle.net/10361/16540 10.1101/2020.09.01.20186445 en_US https://jogh.org/documents/issue202002/jogh-10-020509.pdf application/pdf Journal of Global Health