Leveraging Novel Alternative Payment Models to Promote Evidence-Based Behavioral Health Care

This Viewpoint describes advantages of the Innovation Center’s current alternative payment models for behavioral health care and discusses opportunities to strengthen specific guidance and incentives for key evidence-based practices.

Authors

Institutions

Publication Details

Journal
JAMA
Published
2025-09-10
DOI
https://doi.org/10.1001/jama.2025.14150
Citations
1
Primary Topic
Healthcare Policy and Management
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging Novel Alternative Payment Models to Promote Evidence-Based Behavioral Health Care

Andrew D. Carlo, Jack Huang, Clare McNutt, Alisa B. Busch
1 citations
JAMA
Healthcare Policy and Management
3.13
article

Leveraging Novel Alternative Payment Models to Promote Evidence-Based Behavioral Health Care

Andrew D. Carlo, Jack Huang, Clare McNutt, Alisa B. Busch
article en
1 citations

Abstract

This Viewpoint describes advantages of the Innovation Center’s current alternative payment models for behavioral health care and discusses opportunities to strengthen specific guidance and incentives for key evidence-based practices.

JAMAVol. 334(14)
Brigham and Women's Hospital (US), Harvard University (US), Rosalind Franklin University of Medicine and Science (US), McLean Hospital (US), Yale University (US), Stockholm Environment Institute (US), The University of Texas at Austin (US)
Openalex Percentile: Top 7%
Healthcare Policy and Management
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.