Evidence map›Paper›PMID 29282075›Full record

ArticleHealth and quality of life outcomes2017

Psychometric validation of a multi-dimensional capability instrument for outcome measurement in mental health research (OxCAP-MH).

Francis Vergunst, Crispin Jenkinson, Tom Burns, Paul Anand, Alastair Gray, Jorun Rugkåsa, Judit Simon

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  3. Cost-Effectiveness of Positive Memory Training (PoMeT) for the Treatment of Depression in Schizophrenia.International journal of environmental research and public health · 2022
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  7. Population normative data for OxCAP-MH capability scores.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Francis VergunstResearch Unit on Children's Psychosocial Maladjustment, University of Montréal, Ste Justine Hospital, 3175 Chemin de la Côte Ste-Catherine, Montréal, H3T 1C5, Canada.
Crispin JenkinsonHealth Services Research Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
Tom BurnsDepartment of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.
Paul AnandFaculty of Arts and Social Sciences, The Open University, Milton Keynes, MK7 6AA, UK.
Alastair GrayHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
Jorun RugkåsaHealth Services Research Unit, Akershus University Hospital, 1478, Lørenskog, Norway.
Judit SimonDepartment of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK. judit.simon@meduniwien.ac.at.ORCID http://orcid.org/0000-0001-9279-8627

Funding

Department of Health RP-PG-0606-1006National Institute for Health Research RP-PG-0606-1006
6 · The paper itself

Abstract

backgroundPatient 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.

methodsThe 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Health Services ResearchAdultFemaleHumansMaleMental DisordersMental Health ServicesMiddle AgedOutcome Assessment, Health CarePatient Reported Outcome MeasuresPsychiatric Status Rating ScalesPsychometricsQuality of LifeReproducibility of ResultsCapabilitiesCommunity treatment ordersMental healthOutcome measurementPsychiatryPsychometric validationPsychosis

Identifiers

PMID29282075
PMCPMC5745777

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.