Health Control Beliefs and Attitude Toward Treatment in Psychiatric and Non-Psychiatric Clinical Samples.

adherence compliance drug attitude health belief psychiatric treatment

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2021
Historique:
received: 23 02 2020
accepted: 01 04 2021
entrez: 24 5 2021
pubmed: 25 5 2021
medline: 25 5 2021
Statut: epublish

Résumé

Although there is accumulating evidence on the potential influencing factors of medication adherence, the knowledge about patients' attitudes and beliefs toward treatment is only partly utilized in adherence-improving strategies. Several internal and external factors determining adherence have been described regarding many chronic somatic diseases but in recent research, insight on psychiatric patients has been exclusively lacking. As a result, there is a scarcity of effective adherence-improving interventions. Identification of any specific differences or similarities between the attitudes toward treatment of psychiatric and non-psychiatric patients would help to support adherent behavior. We recruited 189 participants from four departments of general psychiatry (GEN PSYCH,

Identifiants

pubmed: 34025463
doi: 10.3389/fpsyt.2021.537309
pmc: PMC8132472
doi:

Types de publication

Journal Article

Langues

eng

Pagination

537309

Informations de copyright

Copyright © 2021 Pogany and Lazary.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Laszlo Pogany (L)

National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary.
Janos Szentagothai Doctoral School of Neuroscience, Budapest, Hungary.

Judit Lazary (J)

National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary.
Janos Szentagothai Doctoral School of Neuroscience, Budapest, Hungary.

Classifications MeSH