The impact of government pandemic policies on the vulnerability of healthcare workers to SARS-CoV-2 infection and mortality in Jakarta Province, Indonesia

Healthcare workers (HCWs) are on the frontlines of the COVID-19 pandemic, putting them at a higher risk of infection and disease than non-HCWs. We analysed the effects of government policies for the public and for HCWs on the likelihood of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)...

Full description

Saved in:
Bibliographic Details
Published in:Annals of medicine (Helsinki) 2023, Vol.55 (2), p.2293306-2293306
Main Authors: Agustina, Rina, Rianda, Davrina, Lamuri, Aly, Ekawidyani, Karina Rahmadia, Siregar, Deviana Ayushinta Sani, Sari, Dyana Santika, Wulan, Prashti Mutia, Devana, Natasha Dianasari, Syam, Ari Fahrial, Rahyussalim, Ahmad Jabir, Handayani, Dwi Oktavia, Widyastuti, Widyastuti, Shankar, Anuraj Harish, Salama, Ngabila
Format: Article
Language:English
Subjects:
COVID-19
COVID-19 - epidemiology
COVID-19 - prevention & control
COVID-19 Testing
Government
Health Personnel
healthcare worker
Humans
Indonesia
Indonesia - epidemiology
Pandemics - prevention & control
policy
Retrospective Studies
SARS-CoV-2
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Healthcare workers (HCWs) are on the frontlines of the COVID-19 pandemic, putting them at a higher risk of infection and disease than non-HCWs. We analysed the effects of government policies for the public and for HCWs on the likelihood of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and mortality among HCWs during the first 8 months of the pandemic in Jakarta province, the capital city and COVID-19 hotspot in Indonesia. We conducted a retrospective cohort study using secondary data from the Jakarta provincial government from March to October 2020, which included sociodemographic characteristics, symptoms, comorbidities and COVID-19 diagnosis history for all cases. A generalized linear mixed-effect regression model was used to determine the effect of each month on the odds ratio (OR) of COVID-19 cases and deaths for HCW compared with non-HCW, assuming that monthly trends were influenced by varying government policies. A total of 894,487 suspected and confirmed COVID-19 cases in health facilities in Jakarta province were analysed. The OR of confirmed cases for HCW was 2.04 (95% CI 2.00-2.08;  
ISSN:0785-3890
1365-2060
DOI:10.1080/07853890.2023.2293306