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Feasibility of Testing Client Preferences for Accessing Injectable Opioid Agonist Treatment (iOAT): A Pilot Study.
Dobischok, Sophia; Metcalfe, Rebecca K; Matzinger, Elizabeth Angela; Lock, Kurt; Harrison, Scott; MacDonald, Scott; Amara, Sherif; Schechter, Martin T; Bansback, Nick; Oviedo-Joekes, Eugenia.
Afiliação
  • Dobischok S; Centre for Health Evaluation & Outcome Sciences, Providence Health Care, Vancouver, BC, Canada.
  • Metcalfe RK; Centre for Health Evaluation & Outcome Sciences, Providence Health Care, Vancouver, BC, Canada.
  • Matzinger EA; Centre for Health Evaluation & Outcome Sciences, Providence Health Care, Vancouver, BC, Canada.
  • Lock K; Centre for Health Evaluation & Outcome Sciences, Providence Health Care, Vancouver, BC, Canada.
  • Harrison S; BC Centre for Disease Control, Provincial Health Services Authority, Vancouver, BC, Canada.
  • MacDonald S; Providence Health Care, Providence Crosstown Clinic, Vancouver, BC, Canada.
  • Amara S; Providence Health Care, Providence Crosstown Clinic, Vancouver, BC, Canada.
  • Schechter MT; SafePoint Supervised Consumption Site, Fraser Health Authority, Surrey, BC, Canada.
  • Bansback N; Centre for Health Evaluation & Outcome Sciences, Providence Health Care, Vancouver, BC, Canada.
  • Oviedo-Joekes E; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Patient Prefer Adherence ; 16: 3405-3413, 2022.
Article em En | MEDLINE | ID: mdl-36582266
Purpose: Injectable opioid agonist treatment (iOAT) is an effective treatment for opioid use disorder (OUD). To our knowledge, no research has systematically studied client preferences for accessing iOAT. Incorporating preferences could help meet the heterogenous needs of clients and make addiction care more person-centred. This paper presents a pilot study of a best-worst scaling (BWS) preference elicitation survey that aimed to assess if the survey was feasible and accessible for our population and to test that the survey could gather sound data that would suit our planned analyses. Patients and Methods: Current and former iOAT clients (n = 18) completed a BWS survey supported by an interviewer using a think-aloud approach. The survey was administered on PowerPoint, and responses and contextual field notes were recorded manually. Think-aloud audio was recorded on Audacity. Results: Clients' feedback fell into five categories: framing of the task, accessibility, conceptualization of attributes and levels, formatting, and behaviour predicting questions. Survey repetitiveness was the most consistent feedback. The data simulation showed that 100 responses should provide an adequate sample size. Conclusion: This pilot demonstrates the type of analysis that can be done with BWS in our population, suggests that such analysis is feasible, and highlights the importance of the interviewer and participant working side-by-side throughout the task.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article