Abstract
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.
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.
Original language | English |
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Article number | 702 |
Number of pages | 14 |
Journal | BMC Geriatrics |
Volume | 21 |
Issue number | 1 |
DOIs | |
Publication status | Published - 15 Dec 2021 |
Keywords
- Aged care
- Economic evaluation
- Measuring outcomes
- Mixed methods
- Older people
- Quality of life