The integration of mixed methods data to develop the quality of life - aged care consumers (QOL-ACC) instrument.

<bold>Background: </bold>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.<bold>Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusions: </bold>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. [ABSTRACT FROM AUTHOR]