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UMB Dataset
Best-Worst Scaling to Prioritize Outcomes Meaningful to Caregivers of Youth with Mental Health Multimorbidities: A Pilot Study
- Authors
- Susan dosReisWendy Castillo CameloMelissa M. RossSaad Tariq
- Description
This pilot study tested the use of a best-worst scaling (BWS) instrument to aid caregivers of a child with mental health comorbidities in clarifying preferences for treatment outcomes. BWS methodology closely approximates real-life decision-making by requiring the selection of one “most important” and one “least important” among a group of competing attributes. 38 caregivers were recruited from support...
- Subject
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CaregiversComorbidityDecision MakingDevelopmental Disabilities
- Timeframe
- 2015
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UMB Dataset
Attribute Development Using Continuous Stakeholder Engagemement to Prioritize Treatment Decisions: A Framework for Patient-Centered Research
- Authors
- Susan dosReisWendy Castillo CameloMelissa M. RossMarcy Fitz-Randolph2 more author(s)...
- Description
This study investigated a systematic process for using qualitative data to identify attributes and levels most important to caregivers in making health care treatment decisions. Grounded theory methodology was selected for its suitability in assessing an individual’s response to a specific experience. Stakeholder advisors worked with academic researchers in all phases of the project. A total of 48...
- Subject
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CaregiversComorbidityDecision MakingDevelopmental Disabilities