Latent structure and factor reliability of the National Health Service Community Mental Health Service User Questionnaire.


Journal

Journal of mental health (Abingdon, England)
ISSN: 1360-0567
Titre abrégé: J Ment Health
Pays: England
ID NLM: 9212352

Informations de publication

Date de publication:
Dec 2022
Historique:
pubmed: 13 5 2021
medline: 24 1 2023
entrez: 12 5 2021
Statut: ppublish

Résumé

National Health Service use the Community Mental Health Service User Questionnaire (NHS-CMH) to assess care quality. However, its reliability and internal validity is uncertain. To test the NHS-CMH structure, reliability and item-level characteristics. We used data from 11,373 participants who answered the 2017 NHS-CMH survey. First, we estimated the NHS-CMH structure using Exploratory Factor Analysis (EFA) in half of the dataset. Second, we tested the best EFA-derived model with Confirmatory Factor Analysis (CFA). We tested the internal validity, construct reliability (omega - EFA suggested a 4-factor solution. The structure derived from the EFA was confirmed, demonstrating good reliability for the four correlated dimensions: "Relationship with Staff" ( The NHS-CMH can be used to reliably assess four user-informed dimensions of mental health care quality. This model offers an alternative for its current use (item-level and untested sum scores analysis).

Sections du résumé

BACKGROUND UNASSIGNED
National Health Service use the Community Mental Health Service User Questionnaire (NHS-CMH) to assess care quality. However, its reliability and internal validity is uncertain.
AIMS UNASSIGNED
To test the NHS-CMH structure, reliability and item-level characteristics.
METHODS UNASSIGNED
We used data from 11,373 participants who answered the 2017 NHS-CMH survey. First, we estimated the NHS-CMH structure using Exploratory Factor Analysis (EFA) in half of the dataset. Second, we tested the best EFA-derived model with Confirmatory Factor Analysis (CFA). We tested the internal validity, construct reliability (omega -
RESULTS UNASSIGNED
EFA suggested a 4-factor solution. The structure derived from the EFA was confirmed, demonstrating good reliability for the four correlated dimensions: "Relationship with Staff" (
CONCLUSIONS UNASSIGNED
The NHS-CMH can be used to reliably assess four user-informed dimensions of mental health care quality. This model offers an alternative for its current use (item-level and untested sum scores analysis).

Identifiants

pubmed: 33978546
doi: 10.1080/09638237.2021.1922655
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

809-815

Auteurs

Mauricio Scopel Hoffmann (MS)

Graduate Program in Psychiatry and Behavioral Sciences, Centro de Pesquisa Clínica, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Departamento de Neuropsiquiatria, Universidade Federal de Santa Maria, Santa Maria, Brazil.
National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil.
Care Policy and Evaluation Centre, London School of Economics and Political Science, London, United Kingdom.

Katia Bones Rocha (KB)

Graduate Program in Psychiatry and Behavioral Sciences, Centro de Pesquisa Clínica, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.

Sara Evans-Lacko (S)

Care Policy and Evaluation Centre, London School of Economics and Political Science, London, United Kingdom.

Natan Pereira Gosmann (NP)

Graduate Program in Psychiatry and Behavioral Sciences, Centro de Pesquisa Clínica, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.

Natalia Becker (N)

Graduate Program in Psychiatry and Behavioral Sciences, Centro de Pesquisa Clínica, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.

Pedro Vieira da Silva Magalhães (PVDS)

Graduate Program in Psychiatry and Behavioral Sciences, Centro de Pesquisa Clínica, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.

Denise Razzouk (D)

Department of Psychiatry, Univerisdade Federal de São Paulo, São Paulo, Brazil.

Lucas Spanemberg (L)

Graduate Program in Psychiatry and Behavioral Sciences, Centro de Pesquisa Clínica, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.

Marcelo Pio de Almeida Fleck (MPA)

Graduate Program in Psychiatry and Behavioral Sciences, Centro de Pesquisa Clínica, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.

Jair de Jesus Mari (JJ)

National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil.
Department of Psychiatry, Univerisdade Federal de São Paulo, São Paulo, Brazil.

Graham Thornicroft (G)

Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Giovanni Abrahão Salum (GA)

Graduate Program in Psychiatry and Behavioral Sciences, Centro de Pesquisa Clínica, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil.

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