Acceptability and perceived feasibility of adapted encounter decision aids on contraceptive methods: An interview study with healthcare providers and Chinese migrant women.

Contraception Decision Aid Shared decision-making

Journal

PEC innovation
ISSN: 2772-6282
Titre abrégé: PEC Innov
Pays: Netherlands
ID NLM: 9918367980406676

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 04 10 2021
revised: 02 03 2022
accepted: 17 03 2022
medline: 23 3 2022
pubmed: 23 3 2022
entrez: 22 5 2023
Statut: epublish

Résumé

This study aimed to explore the perceived acceptability, usefulness, and feasibility of a suite of encounter decision aids (DAs) on contraceptive methods with Chinese migrant women living in Australia and healthcare providers. Semi-structured in-depth interviews with 22 Chinese migrant women and twenty healthcare providers were conducted. Transcribed data were analysed using the qualitative content analysis method. Women perceived the DAs to be informative and useful. They suggested making the DAs available outside the clinical settings. Healthcare providers perceived the DAs to be comprehensive and valuable in informing women about contraceptive methods. Some providers had concerns as to the information load and the length of the DAs. Such concerns were eased when provided with an explanation of how to use the DAs. Most women and healthcare providers preferred the numerical format for side-effect probability information presentation. Making the encounter DAs available in both the Chinese and English languages can be valuable in assisting Chinese migrant women in making informed decisions about contraceptive methods. This study is the first to evaluate the acceptability and perceived feasibility of patient decision aids with members of a migrant community in Australia. The findings highlight the need for disseminating the DAs both within and outside the clinical settings.

Identifiants

pubmed: 37213744
doi: 10.1016/j.pecinn.2022.100031
pii: S2772-6282(22)00016-4
pmc: PMC10194123
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100031

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

Deborah Bateson has been supported to attend educational events by Bayer Healthcare and MSD, both are manufacturers of contraceptives, and have attended advisory committees for these companies as part of her role at Family Planning New South Wales. Rachel Thompson has received research funding to study shared decision-making and shared decision-making interventions, including contraceptive care; she receives royalties from Oxford University Press from the sale of a book on shared decision-making and owns copyright in several decision aids, including a decision aid on contraception. All other authors declare that they have no conflict of interest.

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Auteurs

Hankiz Dolan (H)

Ask, Share, Know: Rapid Evidence for General Practice Decision (ASK-GP), Centre for Research Excellence, The University of Sydney, Sydney, Australia.
Sydney School of Public Health, The University of Sydney, Sydney, Australia.

Deborah Bateson (D)

Family Planning NSW, Sydney, Australia.
Specialty of Obstetrics, Gynaecology and Neonatology, The University of Sydney, Sydney, Australia.

Mu Li (M)

Sydney School of Public Health, The University of Sydney, Sydney, Australia.

Rachel Thompson (R)

Sydney School of Public Health, The University of Sydney, Sydney, Australia.

Chun Wah Michael Tam (CWM)

Primary and Integrated Care Unit, South Western Sydney Local Health District, Sydney, Australia.
School of Population Health, Faculty of Medicine, UNSW, Sydney, Australia.

Carissa Bonner (C)

Ask, Share, Know: Rapid Evidence for General Practice Decision (ASK-GP), Centre for Research Excellence, The University of Sydney, Sydney, Australia.
Sydney School of Public Health, The University of Sydney, Sydney, Australia.

Lyndal Trevena (L)

Ask, Share, Know: Rapid Evidence for General Practice Decision (ASK-GP), Centre for Research Excellence, The University of Sydney, Sydney, Australia.
Sydney School of Public Health, The University of Sydney, Sydney, Australia.

Classifications MeSH