Evidence map›Paper›PMID 39415651›Full record

ArticlePrimary health care research & development2024

Exploring health worker absenteeism at public healthcare facilities in Chhattisgarh, India.

Priyanka Kerketta, Karthika Maniyara, Edukondal Palle, Prakash Babu Kodali

Abstract read
In one paragraph

Article in Primary health care research & development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Analysis ofJournal of family medicine and primary care · 2026
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Priyanka KerkettaDepartment of Public Health and Community Medicine, Central University of Kerala, Periye, Kerala, India.ORCID 0009-0001-2525-4272
Karthika ManiyaraDepartment of Public Health and Community Medicine, Central University of Kerala, Periye, Kerala, India.
Edukondal PalleDepartment of Public Health and Community Medicine, Central University of Kerala, Periye, Kerala, India.
Prakash Babu KodaliDepartment of Public Health and Community Medicine, Central University of Kerala, Periye, Kerala, India.ORCID 0000-0001-9358-9712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to assess the health worker absenteeism and factors associated with it in a high-focus district in Chhattisgarh, India.

backgroundHuman resources for health are among the key foundations to build resilient healthcare systems. Chhattisgarh is a high-focus Indian state with a severe shortage of health care workers, and absenteeism further aggravates the shortage.

methodsThis study was conducted as a mixed-methods study employing sequential explanatory design. Absenteeism was defined as the absence of health worker in the designated position without a formal leave or official reason in two different unannounced visits. A facility survey across all the public healthcare facilities in Jashpur district, Chhattisgarh, was conducted through random, unannounced visits employing a checklist developed based on Indian Public Health Standards. Twelve participants were purposively sampled and interviewed from healthcare facilities to explore factors associated with absenteeism. Survey data were analysed descriptively, and thematic analysis was employed to analyse qualitative interviews.

findingsAmong all the positions filled at primary health centre level (

conclusionHealth worker absenteeism was more at PHC level. Systemic challenges, human resource shortages, and infrastructural shortcomings contributed to health worker absenteeism.

Indexed as

AbsenteeismAdultFemaleHealth FacilitiesHealth PersonnelHumansIndiaMaleMiddle AgedQualitative ResearchSurveys and Questionnaireshealthcare deliveryhealth systemshealth worker absenteeismhuman resources for healthprimary health care

Identifiers

PMID39415651
PMCPMC11569847

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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.