Evidence map›Paper›PMID 37383492›Full record

ArticleHealth policy OPEN2021

The role of document analysis in health policy analysis studies in low and middle-income countries: Lessons for HPA researchers from a qualitative systematic review.

Naomi Karen Kayesa, Maylene Shung-King

Open access · goldAbstract read
In one paragraph

Article in Health policy OPEN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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  20. Regulatory landscape for pediatric hematology-oncology nursing in Brazil: document analysis of policies and regulations.Revista panamericana de salud publica = Pan American journal of public health · 2025
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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

2 authors at 1 institution in 1 country.

Naomi Karen KayesaSchool of Public Health and Family Medicine, Health Policy and Systems Division, University of Cape Town, South Africa.
Maylene Shung-KingSchool of Public Health and Family Medicine, Health Policy and Systems Division, University of Cape Town, South Africa.
University of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Document analysis is commonly used in health policy analysis (HPA) studies, but the purpose and rigour of application is unclear. This review explored the application and utility of document analysis in HPA studies conducted in low-and-middle income countries (LMICs), intending to derive lessons for strengthening this methodology. Methods: Employing a qualitative systematic review approach, nine electronic databases were searched for LMIC HPA articles that employed document analysis. Articles were subjected to systematic retrieval, storage and quality-assessment. Thematic analysis was used in coding, extraction and analysis of data. Results: Only 28 studies had sufficiently detailed document analyses and met the inclusion criteria. Document analyses were mainly complimentary to primary data collection forms. The majority, barring four studies, lacked clear purpose and utility in answering the research questions, and rigour in methodology and the reporting thereof. The approach to document analyses bore no relationship to the policy phase investigated. Challenges in accessing documents contributed to methodological difficulties. Conclusion: Well-executed document analysis has potential to strengthen HPA studies. Health Policy researcher skill in applying this methodology needs strengthening and could be improved by: purposive alignment of the method to research questions; rigorously applying and reporting on search strategy with rigour; source, organize and store documents systematically; apply robust data coding and analysis; and clearly linking document contribution to study findings and conclusions.

Indexed as

Document analysisDocumentary researchDocument reviewHealth policyLow and middle-income countriesPolicy analysis

Identifiers

PMID37383492
PMCPMC10297803
OpenAlexW3164169757

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.