Evidence map›Paper›PMID 39657151›Full record

ArticleHealth promotion international2024

Practitioners' perspectives on unintended effects of illicit drug use prevention public service announcements in Australia.

Kirsteen Munro, Svetlana Bogomolova, Lucy Simmonds

Abstract read
In one paragraph

Article in Health promotion international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kirsteen MunroCentre for Social Impact, College of Business, Government and Law, Flinders University, Sturt Road, Bedford Park, South Australia 5042, Australia.ORCID 0000-0001-9006-2448
Svetlana BogomolovaCentre for Social Impact, College of Business, Government and Law, Flinders University, Sturt Road, Bedford Park, South Australia 5042, Australia.ORCID 0000-0003-4449-6514
Lucy SimmondsCentre for Social Impact, College of Business, Government and Law, Flinders University, Sturt Road, Bedford Park, South Australia 5042, Australia.ORCID 0000-0002-4795-5141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public service announcements (PSAs) or campaigns aimed at preventing harm can inadvertently risk creating additional harms. It remains unclear whether these unintended effects are considered during campaign development, if risk mitigation strategies are implemented, or how professionals involved perceive these issues. It is in the context of illicit drug use prevention PSAs that our research investigates and explores the perspectives of practitioners-health support professionals and advertising campaign designers and creators. Semi-structured expert interviews were conducted to capture and synthesize practitioners' perspectives which were then analysed by applying a framework to address the unintended effects of public health interventions. The results indicated that practitioners from both sectors are aware of unintended harms but place varying levels of importance on different aspects. In the case of illicit drug prevention PSAs, incorporating practitioners' perspectives in campaign development may result in mitigating the risk of potential unintended harmful effects.

Indexed as

Public Service Announcements as TopicAustraliaFemaleHealth PromotionHumansIllicit DrugsInterviews as TopicMaleRecreational Drug UseSubstance-Related DisordersIllicit Drugsadvertisingillicit drug use preventionpractitioner perspectivesPSApublic service announcementsqualitative methodsunintended effects

Identifiers

PMID39657151
PMCPMC11630780

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.