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This paper is in the following e-collection/theme issue:

Innovative Methods in Public Health and Surveillance (405) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2284) Methods and Instruments in Medical Informatics (217) Methods and New Tools in Mental Health Research (594) Users' and Patients' Needs for Mental Health Services (534) Development and Evaluation of Research Methods, Instruments and Tools (819)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66056, first published .
Development and Validation of Prediction Models for Perceived and Unmet Mental Health Needs in the Canadian General Population: Model-Based Synthetic Estimation Study

Development and Validation of Prediction Models for Perceived and Unmet Mental Health Needs in the Canadian General Population: Model-Based Synthetic Estimation Study

Development and Validation of Prediction Models for Perceived and Unmet Mental Health Needs in the Canadian General Population: Model-Based Synthetic Estimation Study

Authors of this article:

Jianli Wang1, 2 Author Orcid Image ;   Heather Orpana3, 4 Author Orcid Image ;   André Carrington5 Author Orcid Image ;   George Kephart1, 6 Author Orcid Image ;   Helen-Maria Vasiliadis7 Author Orcid Image ;   Benjamin Leikin8 Author Orcid Image
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Journals

  1. Al-Mamun F, Arif M, Das P, Hasan M, ALmerab M, Mamun M. Perceived and Unmet Mental Health Care Needs Among Individuals with Chronic Illness: A Latent Class and Bayesian Approach. Psychiatric Quarterly 2026 View