Evidence map›Paper›PMID 36050766›Full record

ArticleHealth and quality of life outcomes2022

Psychometric evaluation of the Mental Health Quality of Life (MHQoL) instrument in seven European countries.

Joost J Enzing, Frédérique C W van Krugten, Iryna Sabat, Sebastian Neumann-Böhme, Bert Boer, Saskia Knies, Werner B F Brouwer, ECOS consortium

Open access · goldAbstract read
In one paragraph

Article in Health and quality of life outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Joost J EnzingErasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands. enzing@eshpm.eur.nl.ORCID http://orcid.org/0000-0001-5317-490X
Frédérique C W van KrugtenErasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8592-3581
Iryna SabatNova School of Business and Economics, Lisbon, Portugal.ORCID http://orcid.org/0000-0001-9211-4168
Sebastian Neumann-BöhmeErasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8336-3736
Bert BoerErasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.
Saskia KniesErasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3550-990X
Werner B F BrouwerErasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0002-0476-8397
ECOS consortium
Erasmus University Rotterdam · NLZorginstituut Nederland · NLUniversidade Nova de Lisboa · PT

Funding

European Union's Horizon 2020 research and innovation programme Marie Skłodowska-Curie grant agreement No 721402
6 · The paper itself

Abstract

introductionTo make efficient use of available resources, decision-makers in healthcare may assess the costs and (health) benefits of health interventions. For interventions aimed at improving mental health capturing the full health benefits is an important challenge. The Mental Health Quality of Life (MHQoL) instrument was recently developed to meet this challenge. Evaluating the pyschometric properties of this instrument in different contexts remains important.

methodsA psychometric evaluation of the MHQoL was performed using existing international, cross-sectional data with 7155 respondents from seven European countries (Denmark, France, Germany, Italy, Portugal, The Netherlands, Portugal and the United Kingdom). Reliability was examined by calculating Cronbach's alpha, a measure of internal consistency of the seven MHQoL dimensions, and by examining the association of the MHQoL sum scores with the MHQoL-VAS scores. Construct validity was examined by calculating Spearman's rank correlation coefficients between the MHQoL sum scores and EQ-5D index scores, EQ-VAS scores, EQ-5D anxiety/depression dimension scores, ICECAP-A index scores and PHQ-4 sum scores.

resultsThe MHQoL was found to have good internal consistency for all seven countries. The MHQoL sum score and the MHQoL-VAS had a high correlation. Spearman's rank correlation coefficients were moderate to very high for all outcomes.

conclusionOur results, based on data gathered in seven European countries, suggest that the MHQoL shows favourable psychometrical characteristics. While further validation remains important, the MHQoL may be a useful instrument in measuring mental health-related quality of life in the Western European context.

Indexed as

Mental HealthQuality of LifeCross-Sectional StudiesHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesMental healthMHQoLPreference based measuresPsychometric evaluationQuality of life

Identifiers

PMID36050766
PMCPMC9434504
OpenAlexW4294086419

What Socratic holds

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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 Socratic graph.