操作化
心理学
脆弱性(计算)
定性研究
分类
临床心理学
社会学
计算机科学
社会科学
计算机安全
认识论
哲学
人工智能
作者
Barbara Andraka‐Christou,Olivia K. Golan,Rachel Totaram,Morgan C. Shields,Kendall Cortelyou,Danielle N. Atkins,Glenn W. Lambie,Olena Mazurenko
标识
DOI:10.1080/10550887.2023.2247810
摘要
AbstractIntroduction Person-centered care (PCC) is an ethical imperative with eight domains, but operation of some PCC domains in substance use disorder (SUD) treatment has been underexplored.Objective We sought to identify strategies for operationalizing eight PCC domains in SUD treatment facilities and themes across these strategies.Methods We recruited 36 clients and staff from a large publicly funded behavioral health system for individual, semi-structured qualitative interviews. Interviews explored preferences and care experiences for each PCC domain. We analyzed data using iterative categorization, identifying specific operationalization strategies and themes across operationalization strategies within each domain.Results PCC operationalization themes for residential SUD treatment included addressing social vulnerability of clients (e.g., through assistance with housing and navigation of criminal/legal systems), involving peer support specialists (e.g., to provide emotional support and aid transition out of care), supporting the client's family throughout treatment (e.g., providing progress updates; increasing visitation opportunities in residential treatment), and facilitating patient choice within each domain (e.g., treatment type; housing type; roommate preferences in residential treatment.)Discussion & Conclusion Some PCC operationalization strategies are unique to SUD treatment. Several PCC operationalization strategies applied to multiple domains, suggesting conceptual overlap between domains.Keywords: person-centered careoperationalizationsubstance use disorder treatmentqualitative Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingFunding for this research was provided by the Health Foundation of South Florida10.13039/100009796
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