Influence of Participation in a Medical-Themed Science Café on Patient Activation.

patient community psychological measures self-management supportive environment

Journal

Patient preference and adherence
ISSN: 1177-889X
Titre abrégé: Patient Prefer Adherence
Pays: New Zealand
ID NLM: 101475748

Informations de publication

Date de publication:
2023
Historique:
received: 07 06 2023
accepted: 10 10 2023
medline: 4 12 2023
pubmed: 4 12 2023
entrez: 4 12 2023
Statut: epublish

Résumé

This study aims to investigate the impact of a Science Café (SC) dealing with medical topics on participants' patient activation (PA), a concept that refers to patients' involvement in managing their own health, working with their healthcare providers, and maintaining their health. Semi-structured interviews were conducted with patients who had participated in a medical SC (n = 10) to identify the medical SC-associated factors that influenced PA. Through a questionnaire of medical SC participants (n = 23), the impact on PA and correlations with relevant psychological measures were quantitatively assessed. The interviews revealed three factors: "Experience & acceptance of chronic conditions", "Features of medical SC" and "Changes as a result of participation." The questionnaire results showed a positive correlation between PA and resilience and a negative correlation with decision regret. Participation in a medical SC by people with illnesses can improve PA by improving knowledge and skills for self-management and increasing self-awareness of illness in a supportive environment. The study highlights the potential benefits of using medical SC as a strategy for healthcare providers to improve PA and health outcomes.

Identifiants

pubmed: 38045110
doi: 10.2147/PPA.S424460
pii: 424460
pmc: PMC10693243
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3093-3106

Informations de copyright

© 2023 Okazawa et al.

Déclaration de conflit d'intérêts

All authors declare that they have no conflicts of interest in this work.

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Auteurs

Yuta Okazawa (Y)

Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, 105-8512, Japan.

Hayato Kizaki (H)

Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, 105-8512, Japan.

Nobuyuki Suzuki (N)

Patient Salon Association, Tokyo, Japan.

Wakako Osaka (W)

Keio University Faculty of Nursing and Medical Care, Tokyo, 160-8582, Japan.

Satoko Hori (S)

Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, 105-8512, Japan.
Patient Salon Association, Tokyo, Japan.

Classifications MeSH