Evidence map›Paper›PMID 39219771›Full record

ArticleBulletin of the World Health Organization2024

Health worker protests and the COVID-19 pandemic: an interrupted time-series analysis.

Kartik Sharma, Sorcha Brophy, Michael Law, Veena Sriram

Erratum issuedAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kartik SharmaCentre for Health Services and Policy Research, School of Population and Public Health, University of British Columbia, 201-2206 East Mall, Vancouver, BCV6T 1Z3, Canada.
Sorcha BrophyMailman School of Public Health, Columbia University, New York, United States of America.
Michael LawCentre for Health Services and Policy Research, School of Population and Public Health, University of British Columbia, 201-2206 East Mall, Vancouver, BCV6T 1Z3, Canada.
Veena SriramSchool of Public Policy and Global Affairs, University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the impact of the coronavirus disease 2019 (COVID-19) pandemic on protests by health workers. Methods: We conducted an interrupted time series analysis of data from 159 countries for 2 years before and after the World Health Organization classified COVID-19 as a pandemic in March 2020, thus between 2018 and 2022. We produced models examining two main outcomes: (i) the total weekly number of health worker protests globally; and (ii) the number of countries with one or more health worker protests in a given week. Findings: In total, there were 18 322 health worker protests in 133 countries between 2018 and 2022. The number of weekly health worker protests globally increased by 47% (30.1/63.5), an increase of 30.1 protests per week (95% confidence interval, CI: 11.7-48.6) at the onset of the COVID-19 pandemic. Furthermore, the number of countries experiencing such protests in a given week increased by 24% (5.7/24.1) following the declaration of the pandemic (an increase of 5.7 countries; 95% CI: 3.5-7.8). Conclusion: The pandemic increased the overall level of health worker protests globally as well as the number of countries experiencing such protests. These protests highlight discontent in the health workforce. Given the ongoing global health workforce crisis, understanding and addressing the drivers of health worker discontent is important for global health policy and security.

Indexed as

COVID-19Health PersonnelInterrupted Time Series AnalysisSARS-CoV-2Global HealthHumansPandemics

Identifiers

PMID39219771
PMCPMC11362691

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.