Building Evidence for a Promising Home-Grown Substance Use and Mental Health Child Welfare Prevention Model

The NYC Administration for Children’s Services and MDRC have partnered since 2021 to develop a rigorous research agenda leading to an impact evaluation of the Family Treatment and Rehabilitation (FT/R) model, a “home-grown” New York City intervention for families experiencing substance misuse and/or mental health challenges that put children at risk of maltreatment. This paper will describe the first phase of that research, which had two goals: (1) to refine a logic model that would result in a shared understanding of core components of the FT/R model, and (2) to create a plan for a subsequent implementation study that would enable MDRC and ACS to understand how 18 FT/R programs are implementing the model across New York City. The paper will describe the team’s orientation to this research, including centering equity in the work by prioritizing the inclusion of staff and family perspectives. Next steps in the research roadmap will be discussed, including convening a council of lived experience advisors, as well as implications for evidence-building for sustainability. This research has the long-term potential to support FT/R’s inclusion in the Family First Prevention Services Clearinghouse and ultimately, the leveraging of Title IV-E funds to support scaling of a locally developed, culturally responsive, and adaptable child welfare prevention model beyond New York City.

Authors

Institutions

Publication Details

Journal
Societies
Published
2024-10-17
DOI
https://doi.org/10.3390/soc14100208
Primary Topic
Child Welfare and Adoption
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building Evidence for a Promising Home-Grown Substance Use and Mental Health Child Welfare Prevention Model

Moira Flavin, Pilar Bancalari, Kristen Faucetta, Samantha Wulfsohn
Societies
Child Welfare and Adoption
article

Building Evidence for a Promising Home-Grown Substance Use and Mental Health Child Welfare Prevention Model

Moira Flavin, Pilar Bancalari, Kristen Faucetta, Samantha Wulfsohn
article en

Abstract

The NYC Administration for Children’s Services and MDRC have partnered since 2021 to develop a rigorous research agenda leading to an impact evaluation of the Family Treatment and Rehabilitation (FT/R) model, a “home-grown” New York City intervention for families experiencing substance misuse and/or mental health challenges that put children at risk of maltreatment. This paper will describe the first phase of that research, which had two goals: (1) to refine a logic model that would result in a shared understanding of core components of the FT/R model, and (2) to create a plan for a subsequent implementation study that would enable MDRC and ACS to understand how 18 FT/R programs are implementing the model across New York City. The paper will describe the team’s orientation to this research, including centering equity in the work by prioritizing the inclusion of staff and family perspectives. Next steps in the research roadmap will be discussed, including convening a council of lived experience advisors, as well as implications for evidence-building for sustainability. This research has the long-term potential to support FT/R’s inclusion in the Family First Prevention Services Clearinghouse and ultimately, the leveraging of Title IV-E funds to support scaling of a locally developed, culturally responsive, and adaptable child welfare prevention model beyond New York City.

SocietiesVol. 14(10)
Manpower Demonstration Research Corporation (US), Administration for Children's Services (US)
Michigan Diabetes Research Center, University of Michigan
Openalex Percentile: Top 78%
Child Welfare and Adoption
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.