Evidence map›Paper›PMID 31679467›Full record

ArticleGlobal health action2019

New impulses from international development for more comprehensive and balanced public engagement evaluation.

Marco J Haenssgen

Abstract read
In one paragraph

Article in Global health action, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Review
  2. Article
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  8. TheGlobal health action · 2019
    Article
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.

Marco J HaenssgenGlobal Sustainable Development, School of Cross-Faculty Studies, University of Warwick, Coventry, UK.ORCID 0000-0002-5849-7131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public engagement in health research has gained popularity because of its potential to co-create knowledge, generate dialogue, and ground research in the priorities and realities of the target groups. However, public engagement that achieves these objectives could still entail unforeseen negative consequences or a wasteful use of resources. Although the evaluation of public engagement has evolved in recent years, we lack consistent evaluation criteria for systematic and transparent assessments of success and failure. This article introduces standard evaluation criteria from the field of development aid evaluation (effectiveness, efficiency, impact, relevance, sustainability) to promote more systematic and comprehensive evaluation practice. I apply these criteria to the public engagement component of a recent research project into antimicrobial resistance, antibiotic use, and health behaviour in Thailand and Laos. Considering village-level engagement workshops, international exhibitions of photo narratives of traditional healing in northern Thailand, and social media communication, I demonstrate that activities that seem to achieve their objectives can still have problematic characteristics in other dimensions. I conclude that these five generic evaluation criteria can broaden our understanding of public engagement. Their more widespread use in evaluations can help build a more comprehensive and balanced evidence base, even if only a sample of public engagement projects and programmes can be evaluated systematically.

Indexed as

Global HealthAdultAgedAged, 80 and overBiomedical ResearchCommunity-Based Participatory ResearchCommunity ParticipationFemaleHumansLaosMaleMiddle AgedThailandAntimicrobial Resistanceevaluationhealth researchLaosparticipatory researchpatient and public involvementPublic engagementThailand

Identifiers

PMID31679467
PMCPMC6844388

What OpenQuestion holds

Textmetadata
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.