Cookies?
Library Header Image
LSE Research Online LSE Library Services

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

Hoffmann, Mauricio Scopel, Rocha, Katia Bones, Evans-Lacko, Sara ORCID: 0000-0003-4691-2630, Gosmann, Natan Pereira, Becker, Natalia, Magalhães, Pedro Vieira da Silva, Razzouk, Denise, Spanemberg, Lucas, Fleck, Marcelo Pio de Almeida, Mari, Jair de Jesus, Thornicroft, Graham and Salum, Giovanni Abrahão (2021) Latent structure and factor reliability of the National Health Service Community Mental Health Service User Questionnaire. Journal of Mental Health. ISSN 0963-8237

[img] Text (NHS_CMH_Supplemental_material_JoMH) - Accepted Version
Repository staff only until 12 May 2023.

Download (1MB) | Request a copy
[img] Text (NHS_CMH_JoMH_Table_1) - Accepted Version
Download (128kB)
[img] Text (NHS_CMH_JoMH_Table_2) - Accepted Version
Repository staff only until 12 May 2023.

Download (193kB) | Request a copy
[img] Text (NHS_CMH_manuscript_JoMH_R1) - Accepted Version
Repository staff only until 12 May 2023.

Download (337kB) | Request a copy

Identification Number: 10.1080/09638237.2021.1922655

Abstract

Background: 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: To test the NHS-CMH structure, reliability and item-level characteristics. Methods: 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–ω), explained common variance of each factor (ECV), and item thresholds. Results: 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” (ω = 0.952, ECV = 40.1%), “Organizing Care” (ω = 0.855, ECV = 21.4%), “Medication and Treatments” (ω = 0.837, ECV = 13.3%), and “Support and Well-being” (ω = 0.928, ECV = 25.3%). A second-order model with a high-order domain of “Quality of Care” is also supported. Conclusions: 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).

Item Type: Article
Official URL: https://www.tandfonline.com/journals/ijmh20
Additional Information: © 2021 Informa UK Limited, trading as Taylor & Francis Group.
Divisions: Personal Social Services Research Unit
Subjects: R Medicine > RA Public aspects of medicine
B Philosophy. Psychology. Religion > BF Psychology
Date Deposited: 11 Apr 2022 16:15
Last Modified: 06 Jun 2022 09:54
URI: http://eprints.lse.ac.uk/id/eprint/114868

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics