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

Background: This paper describes the collection and integration of mixed methods data to facilitate the fnal 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 fnal 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 trafc 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 trafc light approach supported the involvement of consumer and aged care provider representatives in the selection of the fnal 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 fnal instrument is psychometrically robust as well as meaningful, relevant and acceptable to aged care consumers and providers.Claire Hutchinson, Julie Ratclife, Jenny Cleland, Ruth Walker, Rachel Milte, Candice McBain, Megan Corlis, Victoria Cornell, and Jyoti Khadk