Reconsidering the Use of Population Health Surveys for Monitoring of Mental Health

Jorge Arias de la Torre, Gemma Vilagut, Amy Ronaldson, Ioannis Bakolis, Alex Dregan, Fernando Navarro-Mateu, Katherine Pérez, Anna Szücs, Xavier Bartoll-Roca, Antonio J Molina, Matilde Elices, Víctor Pérez-Solá, Vicente Martín, Antoni Serrano-Blanco, Jose M Valderas, Jordi Alonso

Research output: Contribution to JournalShort surveyAcademicpeer-review

Abstract

Monitoring of the mental health status of the population and assessment of its determinants are 2 of the most relevant pillars of public mental health, and data from population health surveys could be instrumental to support them. Although these surveys could be an important and suitable resource for these purposes, due to different limitations and challenges, they are often relegated to the background behind other data sources, such as electronic health records. These limitations and challenges include those related to measurement properties and cross-cultural validity of the tools used for the assessment of mental disorders, their degree of representativeness, and possible difficulties in the linkage with other data sources. Successfully addressing these limitations could significantly increase the potential of health surveys in the monitoring of mental disorders and ultimately maximize the impact of the relevant policies to reduce their burden at the population level. The widespread use of data from population health surveys, ideally linked to electronic health records data, would enhance the quality of the information available for research, public mental health decision-making, and ultimately addressing the growing burden of mental disorders.
Original languageEnglish
Article numbere48138
Number of pages7
JournalJMIR Public Health and Surveillance
Volume9
Issue number1
Early online date23 Nov 2023
DOIs
Publication statusPublished - 2023

Funding

This work is partially funded by the University of Exeter, and CIBER (Centro de Investigación Biomédica en Red) Epidemiology and Public Health (grant ESP21PI05). This paper represents independent research partly funded by the National Institute for Health Research’s (NIHR’s) Biomedical Research Centre at South London and Maudsley NHS (National Health Service) Foundation Trust, and King’s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health.

FundersFunder number
Centro de Investigación Biomédica en Red) Epidemiology and Public HealthESP21PI05
National Health Service) Foundation Trust
South London and Maudsley NHS
Center for International Business Education and Research, University of Illinois at Urbana-Champaign
King's College London
National Institute for Health and Care Research
University of Exeter

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