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新冠疫情早期医护人员出勤情况:对孟加拉国所有公共部门二级和三级护理设施每日指纹验证数据的纵向分析

Healthcare Worker Attendance During the Early Stages of the COVID-19 Pandemic: A Longitudinal Analysis of Daily Fingerprint-Verified Data from All Public-Sector Secondary and Tertiary Care Facilities in Bangladesh.

作者信息

Do Duy, Sarker Malabika, Chen Simiao, Lenjani Ali, Tikka Pauli, Bärnighausen Till, Geldsetzer Pascal

机构信息

Heidelberg Institute of Global Health, University of Heidelberg. Im Neuenheimer Feld 130.3 69120 Heidelberg, Germany.

Division of Primary Care and Population Health, Department of Medicine, Stanford University. 1265 Welch Road, Stanford, CA 94305, USA.

出版信息

medRxiv. 2020 Sep 3:2020.09.01.20186445. doi: 10.1101/2020.09.01.20186445.

Abstract

BACKGROUND

The COVID-19 pandemic has overwhelmed hospitals in several areas in high-income countries. An effective response to this pandemic requires healthcare 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 declared 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 healthcare staff were present for their scheduled shift. Attendance rate increased with time in 2019 among all cadres. Attendance level of nurses dropped by 2.5% points (95% 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 healthcare 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, attendance levels among nurses and other healthcare staff (who form the majority of the healthcare workforce in Bangladesh) 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.

摘要

背景

新冠疫情使高收入国家多个地区的医院不堪重负。有效应对这一疫情需要医护人员坚守岗位,尤其是在医护人员本就严重短缺的低收入和中等收入国家(LMICs)。为了让孟加拉国以及更广泛的低收入和中等收入国家的政策制定者了解随着新冠疫情持续蔓延,医护人员出勤情况是否会下降以及下降程度如何,本研究旨在确定孟加拉国新冠疫情早期阶段医护人员出勤情况的变化。

方法

本研究分析了孟加拉国所有527家公立二级和三级医疗机构的每日指纹验证出勤数据,以按人员类别、医院类型和地理区域描述2019年1月26日至2020年3月22日期间的医护人员出勤情况。然后,我们将医护人员出勤情况对星期、月份和医院的固定效应以及三个疫情阶段各自的指标进行回归分析:聚焦中国阶段(2020年1月11日[中国首例新冠死亡病例]至2020年1月29日)、国际传播阶段(2020年1月30日[世界卫生组织宣布全球紧急状态]至2020年3月6日)和本地传播阶段(2020年3月7日[孟加拉国首例新冠确诊病例]至研究期结束)。

研究结果

在2019年1月26日至2020年3月22日期间,平均有34.1%的医生、64.6%的护士和70.6%的其他医护人员按排班出勤。2019年所有人员类别的出勤率均随时间上升。相对于聚焦中国阶段,在新冠疫情的国际传播阶段和本地传播阶段,护士的出勤水平分别下降了2.5个百分点(95%置信区间:-3.2%至-1.8%)和3.5个百分点(95%置信区间:-4.5%至-2.5%)。同样,其他医护人员的出勤水平在国际传播阶段和本地传播阶段分别下降了0.3个百分点(95%置信区间:-0.8%至0.2%)和2.3个百分点(95%置信区间:-3.0%至-1.6%)。然而,对于医生而言,国际传播阶段和本地传播阶段的出勤率分别有统计学显著上升,升幅为3.7个百分点(95%置信区间:2.5%至4.8%)和4.9个百分点(95%置信区间:3.5%至6.4%)。在本地传播阶段,承担了大部分新冠检测和治疗工作的大型医院所有医护人员的出勤水平下降幅度远大于小型医院。

结论

经过一年的显著改善后,在新冠疫情早期阶段,护士和其他医护人员(构成孟加拉国医护人员的大多数)的出勤水平有所下降。这一发现可能预示着如果新冠疫情在孟加拉国继续蔓延,出勤水平将进一步大幅下降。孟加拉国及类似的低收入和中等收入国家的政策制定者应做出重大努力,以确保医护人员,尤其是护士的高出勤水平,比如提供充足的个人防护装备以及货币和非货币激励措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5360/7480043/d76311bfbd1e/nihpp-2020.09.01.20186445-f0005.jpg

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