ArticleBMC health services research2020
Care coordination for severe mental health disorders: an analysis of healthcare provider patient-sharing networks and their association with quality of care in a French region.
Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Community Mental Health Workers' Experiences of Care-Coordinating Hospital Discharge of Patients With Diagnosis of Mental Health Condition Into Community Mental Health Integrated Services in the Northwest of England.International journal of mental health nursing · 2026Article
- A Scoping Review of Multilevel Patient-Sharing Network Measures in Health Services Research.Medical care research and review : MCRR · 2025Article
- Characterizing Physician Referral Networks with Ricci Curvature.Pediatric and lifespan data science : First International Conference, IPLDSC 2024, Anaheim, CA, USA, May 23-24, 2024, Revised Selected Papers. International Pediatric and Lifespan Data Science Conference (1st : 2024 : Anaheim, Calif.) · 2025Article
- Can peer effects explain prescribing appropriateness? a social network analysis.BMC medical research methodology · 2023Article
- Regional medical inter-institutional cooperation in medical provider network constructed using patient claims data from Japan.PloS one · 2022Article
- The Effect of Interdependences of Referral Behaviors on the Quality of Ambulatory Care: Evidence from Taiwan.Risk management and healthcare policy · 2021Article
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Authors and funding
4 authors.
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Abstract
backgroundFor patients with multiple and complex health needs, such as those suffering from mental health disorders, outcomes are determined by the combined actions of the care providers they visit and their interactions. Care coordination is therefore essential. However, little is known on links between hospitals providing psychiatric care and community-based care providers which could serve as a basis for the creation of formal mental care networks supported by recent policies. In this context, we first aimed to identify and characterize existing types of healthcare provider patient-sharing networks for severe mental health disorders in one French region. Second, we aimed to analyse the association between their characteristics and the quality of the care they provide.
methodsPatient flows among healthcare providers involved in treating severe mental health disorders in the Provence-Alpes-Côte-d'Azur region were extracted from the French national health data system, which contains all billing records from the social health insurance. Healthcare provider networks that have developed around public and private non-profit hospitals were identified based on shared patients with other providers (hospitals, community-based psychiatrists, general practitioners and nurses). Hierarchical clustering was conducted to create a typology of the networks. Indicators of quality of care, encompassing multiple complementary dimensions, were calculated across these networks and linked to their characteristics using multivariable methods.
resultsThree main types of existing healthcare provider networks were identified. They were either networks strongly organized around the main hospital providing psychiatric care; scattered networks involving numerous and diverse healthcare providers; or medically-oriented networks involving mainly physician providers. Few significant associations between the structure and composition of healthcare provider networks and indicators of quality of care were found.
conclusionsOur findings provide a basis to develop explicit structuring of mental care based on pre-existing working relationships but suggest that healthcare providers' patient-sharing patterns were not the main driver of optimal care provision in the context explored. The shift towards a stronger integration of health and social care in the mental health field might impact these results but is currently not observable in the administrative data available for research purpose which should evolve to include social care.
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