Evidence map›Paper›PMID 41562870›Full record

ArticleHealth policy and planning2026

Self-reported job histories: potential value of the method in health policy and systems research.

Bhaskar Purohit, Felix Orole, Peter S Hill

Abstract read
In one paragraph

Article in Health policy and planning, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Bhaskar PurohitPeter Faber Business School, Australian Catholic University, Building 532-Tenison Woods House, 8-20 Napier Street, North Sydney, NSW, Australia, 2060.ORCID 0000-0002-7427-6371
Felix OrolePeter Faber Business School, Australian Catholic University, Building 532-Tenison Woods House, 8-20 Napier Street, North Sydney, NSW, Australia, 2060.ORCID 0000-0001-5937-3248
Peter S HillSchool of Public Health, The University of Queensland, Herston, QLD 4006, Australia.ORCID 0000-0001-7091-5108

Funding

Department of Science and TechnologyPublic Health Research Institute
6 · The paper itself

Abstract

In the absence of documented health workforce deployment policies and limited access to key job history data, existing health systems research methods are inadequate for examining policy implementation. The analysis of self-reported job histories offers a valuable research method for overcoming these limitations; however, its application and usefulness remain largely unexamined in health system and policy research, particularly in the context of health workforce and policy implementation. In this paper, we reflect on our experiences of using self-reported job histories to investigate the experiences of public sector doctors with deployment systems related to recruitment, initial posting, and transfers. We interviewed 33 public sector doctors from two Indian states to gain insight into their experiences with policies and systems related to deployment. The initial interview process revealed a pattern in which the doctors developed a work-life chronology to organize their responses. This was formalized in subsequent interviews, creating structured chronological job histories. Job histories serve as a useful and flexible research method for understanding the complexities of how health workforce deployment systems operate and are experienced by health workers. Commentary by doctors regarding these job histories revealed negative perceptions of transfer practice, disruptions in their career trajectories, and gaps in policy implementation. The recollection process of forming job histories is organic and fluid, rich in qualitative data, and its construction involves making sense of diverse work-related stories of health workers. Job histories offer flexibility for collecting data in a more structured manner through a simple set of quantitative questions. Despite their usefulness, constraints such as the inability to triangulate and recall bias exist. Beyond research, job history analysis has practical implications; it is useful for policy implementers and researchers through a more nuanced analysis of challenges related to effective workforce management systems, thereby improving workforce planning, policies, and systems.

Indexed as

Health PolicyPhysiciansSelf ReportHealth Services ResearchHumansIndiaInterviews as TopicPublic SectordoctorsIndiajob historypolicy implementation

Identifiers

PMID41562870
PMCPMC12972663

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LicenceCC BY-NC-ND
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Registered trials

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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.