Evidence map›Paper›PMID 42321732›Full record

ArticleBMC health services research2026

Cross-system collaboration between the child welfare system and substance use treatment providers: a qualitative analysis of strategies, facilitators, and barriers.

Allyson L Dir, Brielle L Batch, Matthew C Aalsma

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Allyson L DirAdolescent Behavioral Health Research Program, Indiana University School of Medicine, 410 W 10th St., Suite 2000, Indianapolis, IN, 46202, USA. adir@iu.edu.
Brielle L BatchAdolescent Behavioral Health Research Program, Indiana University School of Medicine, 410 W 10th St., Suite 2000, Indianapolis, IN, 46202, USA.
Matthew C AalsmaAdolescent Behavioral Health Research Program, Indiana University School of Medicine, 410 W 10th St., Suite 2000, Indianapolis, IN, 46202, USA.

Funding

The role of cross-system collaboration in implementation of evidence-based substance use practices in child welfareK23DA055210 · NIDA · INDIANA UNIVERSITY INDIANAPOLIS · PI Allyson Lindsae Dir · 2023 to 2026
$661k
NIDA NIH HHS K23 DA055210NIDA NIH HHS K23DA055210-01
6 · The paper itself

Abstract

backgroundParental substance use in the child welfare system (CWS) is common, and collaboration between CWS and substance use treatment agencies is critical for parents' success. Research on the challenges to cross-system collaboration exists, but much of the published literature is dated despite recent efforts to improve cross-system collaboration. The current manuscript seeks to understand collaborative strategies used between child welfare and substance use treatment providers and their perceived effectiveness, identify facilitators and barriers to collaboration, and understand the impact of collaboration on child welfare system case and parent outcomes.

methodsQualitative data analysis was conducted on semi-structured interviews, completed September 2023 - June 2024, with n = 31 CWS personnel (90.3% female; 96.8% White, Non-Hispanic) and n = 28 substance use service providers (96.4% female; 76% White) across Indiana.

resultsCollaborative strategies targeted facilitation of service referral and initial service connection between systems and ongoing care coordination. Beyond formal strategies, frontline personnel described informal efforts to improve collaboration. Facilitators to collaboration included positive attitudes towards collaboration and teamwork, such as understanding the importance of teamwork and respect for others' roles and responsibilities. Barriers to collaboration included workforce turnover and large caseloads, competing perspectives on how to address substance use (SU), and competing expectations (i.e., CWS focus on child safety versus SU provider focus on parent).

conclusionFindings highlight the need for continued efforts to support collaboration between CWS and SU service agencies through organizational and broader policy and reiterate the benefits of collaboration on effectively supporting parents and families.

Indexed as

Child Protective ServicesChild WelfareCooperative BehaviorSubstance-Related DisordersChildFemaleHumansIndianaInterviews as TopicMaleQualitative ResearchChild welfare (CW)Child welfare system (CWS)Cross-system collaborationParental substance useSubstance use treatment

Identifiers

PMID42321732
PMCPMC13536715

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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.