Evidence map›Paper›PMID 29616876›Full record

ArticleGlobal public health2019

A framework for medical power in two case studies of health policymaking in India and Niger.

Sarah L Dalglish, Veena Sriram, Kerry Scott, Daniela C Rodríguez

Abstract read
PubMed Publisher
In one paragraph

Article in Global public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sarah L Dalglisha Johns Hopkins University Bloomberg School of Public Health , Baltimore , MD , USA.ORCID 0000-0002-7218-5193
Veena Srirama Johns Hopkins University Bloomberg School of Public Health , Baltimore , MD , USA.
Kerry Scotta Johns Hopkins University Bloomberg School of Public Health , Baltimore , MD , USA.
Daniela C Rodrígueza Johns Hopkins University Bloomberg School of Public Health , Baltimore , MD , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical professionals influence health policymaking but the power they exercise is not well understood in low- and middle-income countries. We explore medical power in national health policymaking for child survival in Niger (late 1990s-2012) and emergency medicine specialisation in India (early 1990s-2015). Both case studies used document review, in-depth interviews and non-participant observation; combined analysis traced policy processes and established theoretical categories around power to build a conceptual framework of medical power in health policymaking. Medical doctors, mainly specialists, utilised their power to shape policy differently in each case. In Niger, a small, connected group of paediatricians pursued a policy of task-shifting after a powerful non-medical actor, the country's president, shifted the debate by enacting broad health systems improvements. In India, a more fragmented group of specialists prioritised tertiary-level healthcare policies likely to benefit only a small subset of the population. Compared to high-income settings, medical power in these cases was channelled and expressed with greater variability in the profession's ability to organise and influence policymaking. Taken together, both cases provide evidence that a concentration of medical power in health policymaking can result in the medicalisation of public health issues.

Indexed as

Health PolicyPolicy MakingPower, PsychologicalDelivery of Health CareHumansIndiaNigerOrganizational Case StudiesQualitative Researchequityhealth policyLMICsmedicalisationPower

Identifiers

What OpenQuestion holds

Textmetadata
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.