Evidence map›Paper›PMID 30316237›Full record

ArticleInternational journal of health policy and management2018

Researching Healthy Public Policy: Navigating the 'Black Box' Means Thinking More About Power Comment on "Developing a Framework for a Program Theory-Based Approach to Evaluating Policy Processes and Outcomes: Health in All Policies in South Australia".

Patrick Harris

Abstract readComment
In one paragraph

Article in International journal of health policy and management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Patrick HarrisUniversity of Sydney, School of Public Health, Menzies Centre for Health Policy, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lawless et al provide a valuable narrative of using program logic to develop an evaluation of Health in All Policies (HiAP) in South Australia. In this commentary I argue that the paper and analysis is an extremely useful example of navigating the supposed black box of policy-making. However the original makes the reader work too hard and is distracting from the main narrative of explaining the logic behind the HiAP approach in South Australia. My response covers avoiding epistemological traps and weighing up the pragmatics of collaborative policy research with more complex institutional policy issues like power.

Indexed as

Health PolicyPolicy MakingCommunicationHumansResearchSouth AustraliaHealthLogic ModelsPowerPublic Policy

Identifiers

PMID30316237
PMCPMC6186481

What OpenQuestion holds

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LicenceCC BY
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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.