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; 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; Salum, Giovanni Abrahão

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 – ω), explained common variance of each factor (ECV), and item thresholds. 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. 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).

MEDICAL quality control; WELL-being; RESEARCH evaluation; SOCIAL support; RESEARCH methodology evaluation; RESEARCH methodology; MULTITRAIT multimethod techniques; QUESTIONNAIRES; FACTOR analysis; DESCRIPTIVE statistics; RESEARCH funding; PATIENT-professional relations; LATENT structure analysis; CORPORATE culture

Journal of Mental Health, 2022, Vol 31, Issue 6, p809

0963-8237

Academic Journal

10.1080/09638237.2021.1922655