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Reverse integrated care for severe mental disorders: lessons from emerging models Cover

Reverse integrated care for severe mental disorders: lessons from emerging models

By:   
Open Access
|Sep 2026

Abstract

Background: Individuals living with severe mental illness (SMI) experience profound health inequalities, with a 15- to 20-year shorter life expectancy mainly due to preventable somatic diseases. This situation has been described as a ‘scandal’, ‘the largest health disparity we don’t talk about’, and even ‘lethal discrimination’ by researchers and service user associations. It is increasingly recognized as a major indicator of care quality in international comparisons of health systems. Among multiple determinants, one key driver of these inequalities is the persistent fragmentation between physical and mental healthcare.

 

While models integrating behavioural health into primary care are now common, they mostly target people with mild to moderate disorders and rarely reach individuals with SMI, for whom the mental health sector remains the main, and sometimes only, point of contact with the healthcare system. Consequently, an international movement has emerged to promote reverse integrated care, embedding primary care within mental health settings to deliver person-centred global health care.

 

Approach: We review the emerging literature on reverse integrated care for individuals with SMI and discuss lessons drawn from real-world evaluations of these models. We particularly consider their applicability in the French context, where formal mental health territorial networks are required to improve somatic care for people with SMI but lack the support of a coordinated national strategy to do so.

 

Results: Reverse integrated care takes diverse organizational forms, ranging from systematic somatic assessments and preventive screenings, especially during psychiatric hospitalizations, to structured partnerships between community mental health teams and primary care providers. The United States has led the way over the past decade through the Medicaid Behavioral Health Home model introduced by the Affordable Care Act.

 

This model relies on salaried nurses embedded in community-based mental health services who coordinate care with primary care professionals for defined tasks such as health promotion, comprehensive care management, and referrals. Evidence shows increased use of primary care, improved detection and management of physical conditions, and better monitoring of health risk factors. Yet sustaining these results requires financing mechanisms that incentivize collaboration and shared accountability between somatic and mental health professionals, workforce development within community-based teams, and investment in interoperable health information systems. In countries like Canada and France, reverse integrated care initiatives remain largely bottom-up, driven by committed local professionals.

In France, several community-based mental health services are experimenting with such models, including shared practices between outpatient mental health centres and community health centres emphasizing equity and service user involvement. However, these initiatives have not yet been systematically evaluated to assess their impact on patient trajectories or to identify barriers and facilitators to their implementation.

 

Implications: Early international experiences demonstrate the feasibility and relevance of reverse integrated care for individuals with SMI. In France, scaling up such models within public outpatient mental healthcare centres requires coupling implementation with research, anticipating structural barriers, and ensuring the active involvement of people with lived experience in designing and governing new care delivery models.

Journal eISSN: 1568-4156
Language: English
Page range: 262 - 262
Published on: Sep 11, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Coralie Gandré, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.