A model for developing outcome measures from the perspectives of mental health service users
Autor: | Angela Sweeney, Til Wykes, Diana Rose, Jo Evans |
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Rok vydání: | 2011 |
Předmět: |
Mental Health Services
Community-Based Participatory Research Psychometrics Applied psychology MEDLINE Outcome (game theory) Patient satisfaction Nursing Surveys and Questionnaires Outcome Assessment Health Care Humans Medicine Quality Indicators Health Care Service (business) business.industry Mental Disorders Reproducibility of Results Focus Groups Models Theoretical Focus group Mental health Psychiatry and Mental health Patient Satisfaction Thematic analysis business Qualitative research |
Zdroj: | International Review of Psychiatry. 23:41-46 |
ISSN: | 1369-1627 0954-0261 |
Popis: | It is becoming increasingly recognized that conventionally derived outcome measures in mental health research are problematic. This is both because of the methodology used and because a 'good' outcome is framed from the perspective of clinicians and researchers. This paper describes a methodology for developing outcome measures for use in large studies entirely from the perspective of mental health service users. It is a mixed methods model starting with a participatory and qualitative methodology and proceeding to psychometric testing. At all stages, the researchers are themselves mental health service users. In the first phase of the model, focus groups are convened comprising people who have received the treatment or service being measured. The focus groups meet twice resulting in a draft mixed-methods questionnaire devised from thematic analysis of the focus group data. This is then taken to expert panels, again comprising individuals who have received the treatment or service being evaluated for refinement. Following this, a feasibility study is conducted with N ∼ 50 participants and changes made iteratively to the questionnaire in light of feedback. The final measure is subject to psychometric testing both to ensure it is robust and to explore similarities and differences with conventionally derived measures. |
Databáze: | OpenAIRE |
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