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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 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 us...

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Autores principales: Hutchinson, Claire, Ratcliffe, Julie, Cleland, Jenny, Walker, Ruth, Milte, Rachel, McBain, Candice, Corlis, Megan, Cornell, Victoria, Khadka, Jyoti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672336/
https://www.ncbi.nlm.nih.gov/pubmed/34911445
http://dx.doi.org/10.1186/s12877-021-02614-y
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author Hutchinson, Claire
Ratcliffe, Julie
Cleland, Jenny
Walker, Ruth
Milte, Rachel
McBain, Candice
Corlis, Megan
Cornell, Victoria
Khadka, Jyoti
author_facet Hutchinson, Claire
Ratcliffe, Julie
Cleland, Jenny
Walker, Ruth
Milte, Rachel
McBain, Candice
Corlis, Megan
Cornell, Victoria
Khadka, Jyoti
author_sort Hutchinson, Claire
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02614-y.
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spelling pubmed-86723362021-12-15 The integration of mixed methods data to develop the quality of life – aged care consumers (QOL-ACC) instrument Hutchinson, Claire Ratcliffe, Julie Cleland, Jenny Walker, Ruth Milte, Rachel McBain, Candice Corlis, Megan Cornell, Victoria Khadka, Jyoti BMC Geriatr Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02614-y. BioMed Central 2021-12-15 /pmc/articles/PMC8672336/ /pubmed/34911445 http://dx.doi.org/10.1186/s12877-021-02614-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Hutchinson, Claire
Ratcliffe, Julie
Cleland, Jenny
Walker, Ruth
Milte, Rachel
McBain, Candice
Corlis, Megan
Cornell, Victoria
Khadka, Jyoti
The integration of mixed methods data to develop the quality of life – aged care consumers (QOL-ACC) instrument
title The integration of mixed methods data to develop the quality of life – aged care consumers (QOL-ACC) instrument
title_full The integration of mixed methods data to develop the quality of life – aged care consumers (QOL-ACC) instrument
title_fullStr The integration of mixed methods data to develop the quality of life – aged care consumers (QOL-ACC) instrument
title_full_unstemmed The integration of mixed methods data to develop the quality of life – aged care consumers (QOL-ACC) instrument
title_short The integration of mixed methods data to develop the quality of life – aged care consumers (QOL-ACC) instrument
title_sort integration of mixed methods data to develop the quality of life – aged care consumers (qol-acc) instrument
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672336/
https://www.ncbi.nlm.nih.gov/pubmed/34911445
http://dx.doi.org/10.1186/s12877-021-02614-y
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