PERSPECTIVES: Insurance markets, labor markets, and the mental health services delivery system.


Journal

The journal of mental health policy and economics
ISSN: 1091-4358
Titre abrégé: J Ment Health Policy Econ
Pays: Italy
ID NLM: 9815374

Informations de publication

Date de publication:
01 Dec 2019
Historique:
received: 22 10 2019
accepted: 14 11 2019
entrez: 15 2 2020
pubmed: 15 2 2020
medline: 23 2 2020
Statut: ppublish

Résumé

The authors are health scientist administrators at the National Institute of Mental Health (NIMH). The mission of NIMH is "to transform the understanding and treatment of mental illnesses through basic and clinical research, paving the way for prevention, recovery, and cure." As part of its portfolio, NIMH supports research on mental health economics, and mental health services research. In this perspective article, the authors comment on two papers presented at the NIMH-sponsored Mental Health Services Research Conference in 2018 and subsequently published in the September 2019 issue of the Journal of Mental Health Policy and Economics. Two important areas are highlighted in this review: (i) the impact of insurance and labor markets on the delivery of high-quality mental health services, and (ii) the need for advancements in method development and design in future studies. The complexity of health insurance markets created some unintended consequence of the mental health insurance parity legislation. Mental health provider shortages in local labor markets are a barrier to successful implementation and sustainment of innovative and evidence-based mental health service-delivery models for people with serious mental illness. Data-capture techniques that seamlessly integrate insurance claims with clinical outcomes (e.g., from electronic health records) will better equip health economists and other end-users with rigorous research findings to inform public health policy and practice recommendations. Despite early signals of success, larger sample sizes and more rigorous research designs are needed to refine predictive models of functional outcomes of evidence-based service-delivery models (e.g., coordinated specialty care model including supported education, and supported employment) for people with first-episode psychosis.

Identifiants

pubmed: 32058978

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

151-154

Commentaires et corrections

Type : CommentIn

Auteurs

Agnes Rupp (A)

NIMH/NIH 9000 Rockville Pike, Bethesda, MD 20892, USA, rupp.agnes1976@gmail.com.

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Classifications MeSH