Evidence map›Paper›PMID 41338045›Full record

ArticleSocial science & medicine (1982)2026

Incentivizing co-occurring disorder diagnoses through blended payments.

Daniel Baslock, Jennifer I Manuel, Victoria Stanhope

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Daniel BaslockSchool of Social Work, Virginia Commonwealth University, Richmond, VA, USA. Electronic address: baslockd@vcu.edu.
Jennifer I ManuelSchool of Social Work, University of Connecticut, Hartford, CT, USA.
Victoria StanhopeSilver School of Social Work, New York University, New York, NY, USA.

Funding

BEHAVIORAL SCI TRAINING IN DRUG ABUSE RESEARCHT32DA007233 · NIDA · PUBLIC HEALTH SOLUTIONS · PI GOLDSAMT, LLOYD A · 1985 to 2023
$20.2M
NIDA NIH HHS T32 DA007233
6 · The paper itself

Abstract

backgroundTreatments for mental health and substance use problems have historically been unintegrated, limiting co-occurring disorders treatment. Blending discrete payment models is one potential facilitator of integrated care. This study assesses the impact of one blended payment strategy on the diagnosis of co-occurring disorders in a community mental health system.

methodsElectronic health record data for 19373 individuals, with 173889 observations from January 2017 through December 2019 was analyzed for this study. Multilevel growth modelling was used for data analysis. A binary dependent variable represented whether a service user held diagnoses of co-occurring disorders within a month. Fixed effects included time variables and a variable representing blended payment initiation as well as race, gender, age, and payor. Service user and agency variables were modeled as random effects.

findingsBlended capitated and fee-for-service payments were found to increase the odds of service users receiving co-occurring diagnoses. People of color had lower odds of receiving a co-occurring diagnosis, although this effect did not hold in an analysis of rural agencies. Service users receiving care in unintegrated agencies had higher odds of receiving co-occurring diagnoses.

conclusionThis study is one of the first to assess the impacts of a blended payment model on behavioral health access. Blended payment models can incentivize behavioral health providers and systems to identify complex diagnoses that may go unrecognized in routine care.

Indexed as

ComorbidityMental DisordersReimbursement, IncentiveAdultDiagnosis, Dual (Psychiatry)Electronic Health RecordsFee-for-Service PlansFemaleHumansMaleMiddle AgedSubstance-Related DisordersBehavioral healthHealth financingMental healthRural healthSubstance use

Identifiers

PMID41338045
PMCPMC12964388

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.