Aligning a Household-Level Service Array Through a Jurisdiction-Wide Child Maltreatment Prevention Effort: Protocol for a Geospatial and Counterfactual Modeling Study

This protocol sets forth a novel approach for the allocation of supportive services for families at risk of child maltreatment through geospatial smoothing via an RTM framework and the maximization of service impact through a counterfactual explanation model. Child maltreatment is an unfortunate and ubiquitous issue in the United States. This proposal builds on jurisdiction-wide public health strategies to allocate services in a data-informed fashion and further align future iterations of the allocation strategy using outcomes-based counterfactual modeling at the household level. The flexibility of the proposed methodology enables its application regardless of the collaborating jurisdiction's preferences and constraints.

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Publication Details

Journal
JMIR Research Protocols
Published
2025-12-30
DOI
https://doi.org/10.2196/71997
Primary Topic
Child Abuse and Trauma
Type
article
Field-Weighted Citation Impact
0.00
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article

Aligning a Household-Level Service Array Through a Jurisdiction-Wide Child Maltreatment Prevention Effort: Protocol for a Geospatial and Counterfactual Modeling Study

Dyann Daley, Jamaal Green, Brian D. Glass, Jordan Purdy
JMIR Research Protocols
Child Abuse and Trauma
article

Aligning a Household-Level Service Array Through a Jurisdiction-Wide Child Maltreatment Prevention Effort: Protocol for a Geospatial and Counterfactual Modeling Study

Dyann Daley, Jamaal Green, Brian D. Glass, Jordan Purdy
article en

Abstract

This protocol sets forth a novel approach for the allocation of supportive services for families at risk of child maltreatment through geospatial smoothing via an RTM framework and the maximization of service impact through a counterfactual explanation model. Child maltreatment is an unfortunate and ubiquitous issue in the United States. This proposal builds on jurisdiction-wide public health strategies to allocate services in a data-informed fashion and further align future iterations of the allocation strategy using outcomes-based counterfactual modeling at the household level. The flexibility of the proposed methodology enables its application regardless of the collaborating jurisdiction's preferences and constraints.

JMIR Research ProtocolsVol. 14
Align Technology (United States) (US), Vitalant (US), University of Pennsylvania (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 26%
Child Abuse and Trauma
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Aligning a Household-Level Service Array Through a Jurisdiction-Wide Child Maltreatment Prevention Effort: Protocol for a Geospatial and Counterfactual Modeling Study — Dyann Daley, Jamaal Green, et al. · JMIR Research Protocols (2025) | TGRS Research Map | TGRS