Evidence map›Paper›PMID 37936775›Full record

ArticlePakistan journal of medical sciences

Building on the Health Policy Analysis Triangle: Elucidation of the Elements.

Aysha Zahidie, Saima Asif, Meesha Iqbal

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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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

3 authors.

Aysha ZahidieAysha Zahidie, MBBS, FCPS (Pakistan) Aga Khan University, Karachi - Pakistan.
Saima AsifSaima Asif, MBBS, MCPS (Community Medicine) Army Medical College, Rawalpindi, Pakistan.
Meesha IqbalMeesha Iqbal, MBBS MD MPH FCPS (Community Medicine) UTHealth School of Public Health Houston, Houston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health policy triangle first presented in the 20th century by Walt and Gilson has been extensively used at local, national, regional, and international levels to assess health policies related to communicable and non-communicable diseases, physical and mental health, antenatal and postnatal care, and human resources, services, and systems. However, the framework lacks intricate details for the four pillars in the triangle viz: 'content,' 'context', 'actors', and 'processes. We propose a checklist of elements to be considered for each pillar; to ease and enhance the process of policy analyses for researchers and policymakers across the globe, including low- and middle-income countries. We suggest using Leichter's categorization of situational, structural, cultural, and environmental factors for comprehensive contextual assessment. Kingdon's multiple streams framework can be applied to determine the 'window of opportunity' allowing the politics, policy, and problem streams to unite, giving birth to the formulation of policies. Lastly, stakeholders' analyses expounding the power, influence, interest, and involvement of intrinsic, extrinsic, implicit, and explicit players should be applied to explore the 'actors' in policy analyses. Robust policy analyses for generating evidence are of paramount importance for policymakers for informed decision-making. Our approach of dis-entangling and elaborating the pillars of the triangle will be helpful for health systems researchers at sub-national, national, regional and global levels to serve as a basis for evidence-based informed decision-making.

Indexed as

Health PoliciesHealth Policy TrianglePolicy AnalysisPolicy Development

Identifiers

PMID37936775
PMCPMC10626074

What OpenQuestion holds

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LicenceCC BY
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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.