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

Author:

Hutchinson Claire,Ratcliffe Julie,Cleland Jenny,Walker Ruth,Milte Rachel,McBain Candice,Corlis Megan,Cornell Victoria,Khadka Jyoti

Abstract

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.

Publisher

Springer Science and Business Media LLC

Subject

Geriatrics and Gerontology

Reference58 articles.

1. Australian Bureau of Statistics: 3101.0 Australian Demographic Statistics, June 2019. In Canberra: ABS; 2019. https://www.abs.gov.au/ausstats/abs@.nsf/0/1CD2B1952AFC5E7ACA257298000F2E76#:~:text=Over%20the%20past%20two%20decades,2.5%25)%20to%20reach%20515%2C700. Accessed 12 January 2021.

2. Australian Institute of Health and Welfare: aged care snapshot. In. Canberra: AIHW; 2019. https://www.aihw.gov.au/reports/australias-welfare/aged-care. Accessed 12 January 2020.

3. Australian Institute of Health and Welfare: older Australia at a glance. In. Canberra: AIHW; 2018. https://www.aihw.gov.au/reports/older-people/older-australia-at-a-glance/contents/demographics-of-older-australians. Accessed 12 January 2021.

4. Australian Institute of Health and Welfare: aged care overview. In. Canberra: AIHW; 2020. https://www.aihw.gov.au/reports-data/health-welfare-services/aged-care/overview. Accessed 12 January 2021.

5. United Nations. World population prospects: the 2017 revision. Geneva: Department of Economics and Social Affairs, Population Division; 2017.

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