The Effectiveness of CDC's Rx Awareness Campaigns on Reducing Opioid Stigma: Implications for Health Communication.


Journal

Health communication
ISSN: 1532-7027
Titre abrégé: Health Commun
Pays: England
ID NLM: 8908762

Informations de publication

Date de publication:
05 2023
Historique:
medline: 28 3 2023
pubmed: 25 9 2021
entrez: 24 9 2021
Statut: ppublish

Résumé

Often health communication campaigns addressing misusing prescription opioids and opioid use disorder (OUD) do not pay enough attention to the associated stigma. This study investigated the effectiveness of a well-designed opioid awareness campaign on reducing stigma and provided evidence for future health communication design. CDC's Rx Awareness videos were used as the experiment material. 137 college students participated in this online experiment, and audience characteristics and video features were considered and tested. The results showed that Rx Awareness videos significantly reduced participants' stigmatizing attitudes and perceived public stigma and increased their empathy toward people with OUD. Empathy is a promising strategy to reduce opioid stigma. People with an opioid prescription history expressed more empathy. Recovery information, prescription history, and narrators' race influenced the audience's perceived public stigma. Implications for health communications and limitations of the study are discussed.

Identifiants

pubmed: 34555999
doi: 10.1080/10410236.2021.1982561
doi:

Substances chimiques

Analgesics, Opioid 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

925-934

Auteurs

Jiahua Yang (J)

The Stan Richards School of Advertising and Public Relations in the Moody College of Communication, The University of Texas at Austin.

Michael Mackert (M)

The Stan Richards School of Advertising and Public Relations in the Moody College of Communication, The University of Texas at Austin.
Center for Health Communication, The University of Texas at Austin.
Department of Population Health at the Dell Medical School, The University of Texas at Austin.

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Classifications MeSH