PERSPECTIVE article
Front. Public Health
Sec. Public Mental Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1557029
This article is part of the Research TopicMental Health Dynamics for Vulnerable Populations in the Digital Era: Opportunities and ChallengesView all articles
The time has come to implement routine outcome monitoring in mental health services in Latin America
Provisionally accepted- 1Grupo de Investigación Bienestar, Salud y Sociedad, Escuela de Psicología y Educación, Universidad de las Américas, Quito, Ecuador
- 2Facultad de Psicología, Universidad de la República, Montevideo, Uruguay
- 3Escuela de Psicología, Pontificia Universidad Católica de Chile, Santiago, Santiago Metropolitan Region (RM), Chile
- 4Millennium Institute for Depression and Personality Research (MIDAP), Santiago, Santiago Metropolitan Region (RM), Chile
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This perspective highlights the transformative potential of routine outcome monitoring in mental health care and public health, advocating for its adoption in Latin America to enhance data-driven decision-making and service quality across the lifespan. The discussion examines global advancements alongside local efforts to implement routine outcome monitoring, addressing key challenges such as infrastructure limitations, clinician engagement, and the need for contextual adaptations. Central to these efforts are strategies like utilizing digital platforms, fostering political commitment, securing financial investments, and prioritizing consumer-centered approaches. By integrating ROM into public health systems, policymakers and practitioners can better monitor mental health trends, allocate resources effectively, and design interventions that address community needs. While significant barriers remain, we urge Latin America to adopt digital ROM solutions and call for collaborative efforts to fully realize their potential in improving both mental health services and broader public health initiatives.
Keywords: Routine outcome monitoring, Mental Health Services, Digital data collection, Data-driven decision-making, Outcome Measures, Practice-Based Evidence
Received: 07 Jan 2025; Accepted: 01 May 2025.
Copyright: © 2025 Paz, Dogmanas and Behn. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Clara Paz, Grupo de Investigación Bienestar, Salud y Sociedad, Escuela de Psicología y Educación, Universidad de las Américas, Quito, Ecuador
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