Evidence map›Paper›PMID 35763373›Full record

ArticleHealth policy and planning2022

Establishing political priority for global mental health: a qualitative policy analysis.

Valentina Iemmi

Abstract read
In one paragraph

Article in Health policy and planning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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.

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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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

1 author.

Valentina IemmiDepartment of Health Policy, London School of Economics and Political Science, Houghton St., London WC2A 2AE, UK.ORCID 0000-0003-3301-0689

Funding

Care Policy and Evaluation Centre (London School of Economics and Political Science) unrestricted part-time fundingInternational Alliance for Mental Health Research Funders refund of travel and accommodation expensesLSE Postgraduate Travel Fund (London School of Economics and Political Science) travel funds
6 · The paper itself

Abstract

Mental disorders represent the leading cause of disability worldwide, yet they remain a low global health priority. This paper uses a case study methodology and different data sources (35 interviews and documents) to analyse factors that have shaped the generation of political priority for global mental health over the past three decades (1990-2020) and their changes over time. The Shiffman and Smith framework on determinants of political priority for global health issues is used to organize data into themes: actor power, ideas, political context and issue characteristics. Global mental health has gained political attention, especially over the past decade, yet support remains limited. Findings reveal that actor power is undermined by a fragmented policy community, the absence of one guiding institution or coordination mechanism and little civil society mobilization. Public portrayal of the issue is divided, hampered by the absence of a common understanding by the community and by stigma. Some policy windows have been missed and a strong global governance structure is lacking. Credible indicators and evidence on simple cost-effective solutions, especially in low- and middle-income countries, are scarce. However, opportunities are arising, including an increasing number of leaders and grassroots organizations, multiple arguments for action and integrated solutions resonating with broader audiences, widening political support at the national level, an emerging global governance structure and an expanding evidence base on the scale of the problem and available solutions. The results point to three technical and four political challenges that advocates need to address to increase political support over the next decade.

Indexed as

Global HealthHealth PolicyHumansMental HealthPolicy MakingPoliticsCOVID-19global mental healthPolitical priorityqualitative study

Identifiers

PMID35763373
PMCPMC9384251

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LicenceCC BY
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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.