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DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia

BACKGROUND: In previous work we concluded that DEMQOL and DEMQOL-Proxy can provide robust measurement of HRQL in dementia when scores are derived from analysis using the Rasch model. As the study sample included people with mild cognitive impairment, we undertook a replication study in the subsample...

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Autores principales: Hendriks, A. A. Jolijn, Smith, Sarah C., Black, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815365/
https://www.ncbi.nlm.nih.gov/pubmed/31655599
http://dx.doi.org/10.1186/s12955-019-1216-8
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author Hendriks, A. A. Jolijn
Smith, Sarah C.
Black, Nick
author_facet Hendriks, A. A. Jolijn
Smith, Sarah C.
Black, Nick
author_sort Hendriks, A. A. Jolijn
collection PubMed
description BACKGROUND: In previous work we concluded that DEMQOL and DEMQOL-Proxy can provide robust measurement of HRQL in dementia when scores are derived from analysis using the Rasch model. As the study sample included people with mild cognitive impairment, we undertook a replication study in the subsample with a diagnosis of dementia (PWD). PWD constitute the population for whom DEMQOL and DEMQOL-Proxy were originally developed. METHODS: We conducted a Rasch model analysis using the RUMM2030 software to re-evaluate DEMQOL (441 PWD) and DEMQOL-Proxy (342 family carers). We evaluated scale to sample targeting, ordering of item thresholds, item fit to the model, and differential item functioning (sex, age, severity, relationship), local independence, unidimensionality and reliability. RESULTS: For both DEMQOL and DEMQOL-Proxy, results were highly similar to the results in the original sample. We found the same problems with content and response options. CONCLUSIONS: DEMQOL and DEMQOL-Proxy can provide robust measurement of HRQL in people with a diagnosis of dementia when scores are derived from analysis using the Rasch model. As in the wider sample, the problems identified with content and response options require qualitative investigation in order to improve the scoring of DEMQOL and DEMQOL-Proxy.
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spelling pubmed-68153652019-10-31 DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia Hendriks, A. A. Jolijn Smith, Sarah C. Black, Nick Health Qual Life Outcomes Research BACKGROUND: In previous work we concluded that DEMQOL and DEMQOL-Proxy can provide robust measurement of HRQL in dementia when scores are derived from analysis using the Rasch model. As the study sample included people with mild cognitive impairment, we undertook a replication study in the subsample with a diagnosis of dementia (PWD). PWD constitute the population for whom DEMQOL and DEMQOL-Proxy were originally developed. METHODS: We conducted a Rasch model analysis using the RUMM2030 software to re-evaluate DEMQOL (441 PWD) and DEMQOL-Proxy (342 family carers). We evaluated scale to sample targeting, ordering of item thresholds, item fit to the model, and differential item functioning (sex, age, severity, relationship), local independence, unidimensionality and reliability. RESULTS: For both DEMQOL and DEMQOL-Proxy, results were highly similar to the results in the original sample. We found the same problems with content and response options. CONCLUSIONS: DEMQOL and DEMQOL-Proxy can provide robust measurement of HRQL in people with a diagnosis of dementia when scores are derived from analysis using the Rasch model. As in the wider sample, the problems identified with content and response options require qualitative investigation in order to improve the scoring of DEMQOL and DEMQOL-Proxy. BioMed Central 2019-10-26 /pmc/articles/PMC6815365/ /pubmed/31655599 http://dx.doi.org/10.1186/s12955-019-1216-8 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hendriks, A. A. Jolijn
Smith, Sarah C.
Black, Nick
DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia
title DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia
title_full DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia
title_fullStr DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia
title_full_unstemmed DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia
title_short DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia
title_sort demqol and demqol-proxy: a rasch analysis among those diagnosed with dementia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815365/
https://www.ncbi.nlm.nih.gov/pubmed/31655599
http://dx.doi.org/10.1186/s12955-019-1216-8
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