Psychometric Assessment of an Item Bank for Adaptive Testing on Patient-Reported Experience of Care Environment for Severe Mental Illness: Validation Study

Autor: Sara Fernandes, Yann Brousse, Xavier Zendjidjian, Delphine Cano, Jérémie Riedberger, Pierre-Michel Llorca, Ludovic Samalin, Daniel Dassa, Christian Trichard, Vincent Laprevote, Anne Sauvaget, Mocrane Abbar, David Misdrahi, Fabrice Berna, Christophe Lancon, Nathalie Coulon, Wissam El-Hage, Pierre-Emmanuel Rozier, Michel Benoit, Bruno Giordana, Alejandra Caqueo-Urízar, Dong Keon Yon, Bach Tran, Pascal Auquier, Guillaume Fond, Laurent Boyer
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: JMIR Mental Health, Vol 11, p e49916 (2024)
Druh dokumentu: article
ISSN: 2368-7959
DOI: 10.2196/49916
Popis: BackgroundThe care environment significantly influences the experiences of patients with severe mental illness and the quality of their care. While a welcoming and stimulating environment enhances patient satisfaction and health outcomes, psychiatric facilities often prioritize staff workflow over patient needs. Addressing these challenges is crucial to improving patient experiences and outcomes in mental health care. ObjectiveThis study is part of the Patient-Reported Experience Measure for Improving Quality of Care in Mental Health (PREMIUM) project and aims to establish an item bank (PREMIUM-CE) and to develop computerized adaptive tests (CATs) to measure the experience of the care environment of adult patients with schizophrenia, bipolar disorder, or major depressive disorder. MethodsWe performed psychometric analyses including assessments of item response theory (IRT) model assumptions, IRT model fit, differential item functioning (DIF), item bank validity, and CAT simulations. ResultsIn this multicenter cross-sectional study, 498 patients were recruited from outpatient and inpatient settings. The final PREMIUM-CE 13-item bank was sufficiently unidimensional (root mean square error of approximation=0.082, 95% CI 0.067-0.097; comparative fit index=0.974; Tucker-Lewis index=0.968) and showed an adequate fit to the IRT model (infit mean square statistic ranging between 0.7 and 1.0). DIF analysis revealed no item biases according to gender, health care settings, diagnosis, or mode of study participation. PREMIUM-CE scores correlated strongly with satisfaction measures (r=0.69-0.78; P
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