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Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH)
BACKGROUND: Patient reported outcome measures (PROMs) are widely used in mental healthcare research for quality of life assessment but most fail to capture the breadth of health and non-health domains that can be impacted. We report the psychometric validation of a novel, multi-dimensional instrumen...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745777/ https://www.ncbi.nlm.nih.gov/pubmed/29282075 http://dx.doi.org/10.1186/s12955-017-0825-3 |
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author | Vergunst, Francis Jenkinson, Crispin Burns, Tom Anand, Paul Gray, Alastair Rugkåsa, Jorun Simon, Judit |
author_facet | Vergunst, Francis Jenkinson, Crispin Burns, Tom Anand, Paul Gray, Alastair Rugkåsa, Jorun Simon, Judit |
author_sort | Vergunst, Francis |
collection | PubMed |
description | BACKGROUND: Patient reported outcome measures (PROMs) are widely used in mental healthcare research for quality of life assessment but most fail to capture the breadth of health and non-health domains that can be impacted. We report the psychometric validation of a novel, multi-dimensional instrument based on Amartya Sen’s capability approach intended for use as an outcome measure in mental health research. METHODS: The Oxford Capabilities Questionnaire for Mental Health (OxCAP-MH) is a 16-item self-complete capability measure that covers multiple domains of functioning and welfare. Data for validation of the instrument were collected through a national randomised controlled trial of community treatment orders for patients with psychosis. Complete OxCAP-MH data were available for 172 participants. Internal consistency was established with Cronbach’s alpha; an interclass correlation coefficient was used to assess test-retest reliability in a sub-sample (N = 50) tested one week apart. Construct validity was established by comparing OxCAP-MH total scores with established instruments of illness severity and functioning: EuroQol (EQ-5D), Brief Psychiatric Rating Scale (BPRS), Global Assessment of Functioning (GAF) and Objective Social Outcomes Index (SIX). Sensitivity was established by calculating standard error of measurement using distributional methods. RESULTS: The OxCAP-MH showed good internal consistency (Cronbach’s alpha 0.79) and test-retest reliability (ICC = 0.86). Convergent validity was evidenced by strong correlations with the EQ-5D (VAS 0.52, p < .001) (Utility 0.45, p < .001), and divergent validity through more modest associations with the BPRS (−0.41, p < .001), GAF (0.24, p < .001) and SIX (0.12, p = ns). A change of 9.2 points on a 0–100 scale was found to be meaningful on statistical grounds. CONCLUSIONS: The OxCAP-MH has demonstrable reliability and construct validity and represents a promising multi-dimensional alternative to existing patient-reported outcome measures for quality of life used in mental health research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12955-017-0825-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5745777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57457772018-01-03 Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH) Vergunst, Francis Jenkinson, Crispin Burns, Tom Anand, Paul Gray, Alastair Rugkåsa, Jorun Simon, Judit Health Qual Life Outcomes Research BACKGROUND: Patient reported outcome measures (PROMs) are widely used in mental healthcare research for quality of life assessment but most fail to capture the breadth of health and non-health domains that can be impacted. We report the psychometric validation of a novel, multi-dimensional instrument based on Amartya Sen’s capability approach intended for use as an outcome measure in mental health research. METHODS: The Oxford Capabilities Questionnaire for Mental Health (OxCAP-MH) is a 16-item self-complete capability measure that covers multiple domains of functioning and welfare. Data for validation of the instrument were collected through a national randomised controlled trial of community treatment orders for patients with psychosis. Complete OxCAP-MH data were available for 172 participants. Internal consistency was established with Cronbach’s alpha; an interclass correlation coefficient was used to assess test-retest reliability in a sub-sample (N = 50) tested one week apart. Construct validity was established by comparing OxCAP-MH total scores with established instruments of illness severity and functioning: EuroQol (EQ-5D), Brief Psychiatric Rating Scale (BPRS), Global Assessment of Functioning (GAF) and Objective Social Outcomes Index (SIX). Sensitivity was established by calculating standard error of measurement using distributional methods. RESULTS: The OxCAP-MH showed good internal consistency (Cronbach’s alpha 0.79) and test-retest reliability (ICC = 0.86). Convergent validity was evidenced by strong correlations with the EQ-5D (VAS 0.52, p < .001) (Utility 0.45, p < .001), and divergent validity through more modest associations with the BPRS (−0.41, p < .001), GAF (0.24, p < .001) and SIX (0.12, p = ns). A change of 9.2 points on a 0–100 scale was found to be meaningful on statistical grounds. CONCLUSIONS: The OxCAP-MH has demonstrable reliability and construct validity and represents a promising multi-dimensional alternative to existing patient-reported outcome measures for quality of life used in mental health research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12955-017-0825-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-28 /pmc/articles/PMC5745777/ /pubmed/29282075 http://dx.doi.org/10.1186/s12955-017-0825-3 Text en © The Author(s). 2017 Open AccessThis 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 Vergunst, Francis Jenkinson, Crispin Burns, Tom Anand, Paul Gray, Alastair Rugkåsa, Jorun Simon, Judit Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH) |
title | Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH) |
title_full | Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH) |
title_fullStr | Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH) |
title_full_unstemmed | Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH) |
title_short | Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH) |
title_sort | psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (oxcap-mh) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745777/ https://www.ncbi.nlm.nih.gov/pubmed/29282075 http://dx.doi.org/10.1186/s12955-017-0825-3 |
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