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The integration of mixed methods data to develop the quality of life - aged care consumers (QOL-ACC) instrument.
Hutchinson, Claire; Ratcliffe, Julie; Cleland, Jenny; Walker, Ruth; Milte, Rachel; McBain, Candice; Corlis, Megan; Cornell, Victoria; Khadka, Jyoti.
Afiliación
  • Hutchinson C; Caring Futures Institute, Flinders University, Adelaide, Australia. claire.hutchinson@flinders.edu.au.
  • Ratcliffe J; College of Nursing and Health Sciences, Flinders University, Adelaide, Australia. claire.hutchinson@flinders.edu.au.
  • Cleland J; Caring Futures Institute, Flinders University, Adelaide, Australia.
  • Walker R; College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.
  • Milte R; College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.
  • McBain C; Caring Futures Institute, Flinders University, Adelaide, Australia.
  • Corlis M; College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.
  • Cornell V; Caring Futures Institute, Flinders University, Adelaide, Australia.
  • Khadka J; College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.
BMC Geriatr ; 21(1): 702, 2021 12 15.
Article en En | MEDLINE | ID: mdl-34911445
BACKGROUND: This paper describes the collection and integration of mixed methods data to facilitate the final selection of items for the Quality of Life - Aged Care Consumers (QOL-ACC) instrument. The aim of the wider project is to develop a preference-based quality of life instrument that can be used for quality assessment and economic evaluation. Older people have been involved at every stage of the development of the QOL-ACC to ensure that the final instrument captures their perspectives and preferences. METHODS: Mixed methods data was collected on draft items for the QOL-ACC instrument across six key quality of life dimensions (mobility, pain management, emotional well-being, independence, social connections, and activities). Qualitative face validity data was collected from older people (aged 66 to 100 years) living in the community and in residential aged care via semi-structured interviews (n = 59). Quantitative data was collected from older people (aged 65 to 91 years) receiving aged care services in the community via an online survey (n = 313). A traffic light pictorial approach was adopted as a practical and systematic way to categorise and present data in a meaningful way that was easy for non-academic workshop members to understand and to be able to discuss the relative merits of each draft item. RESULTS: The traffic light approach supported the involvement of consumer and aged care provider representatives in the selection of the final items. Six items were selected for the QOL-ACC instrument with one item representing each of the six dimensions. CONCLUSIONS: This methodological approach has ensured that the final instrument is psychometrically robust as well as meaningful, relevant and acceptable to aged care consumers and providers.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida Tipo de estudio: Qualitative_research Aspecto: Patient_preference Límite: Aged / Humans Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2021 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida Tipo de estudio: Qualitative_research Aspecto: Patient_preference Límite: Aged / Humans Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2021 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido