The integration of mixed methods data to develop the quality of life - aged care consumers (QOL-ACC) instrument
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(Published version)
Date
2021
Authors
Hutchinson, C.
Ratcliffe, J.
Cleland, J.
Walker, R.
Milte, R.
McBain, C.
Corlis, M.
Cornell, V.
Khadka, J.
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Journal article
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BMC Geriatrics, 2021; 21(1):1-14
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Claire Hutchinson, Julie Ratclife, Jenny Cleland, Ruth Walker, Rachel Milte, Candice McBain, Megan Corlis, Victoria Cornell, and Jyoti Khadka
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Abstract
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.
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© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.