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The Child and Caregiver Outcomes Using Linked Data project provides technical assistance to states to develop state-specific datasets linking the Medicaid administrative claims of parents with the records of their children from the child welfare system. The data will be combined into a multi-state, de-identified data sets for secondary data analysis.
COVID-19 pandemic’s social restrictions have prompted a surge in the mental health needs of children of all ages. Nationwide 4.3 million children/adolescents have been diagnosed with COVID-19 as of August 2021, and many of them have returned to early childhood and school settings. Schools and early childhood programs have long been essential settings for delivery of mental health services.
In an effort to help build the evidence base around the social determinants of health (SDOH), the Assistant Secretary for Planning and Evaluation (ASPE) engaged RAND in a project to evaluate the current evidence from programs and policies targeting SDOH and identify the SDOH research questions, data sources, and data gaps that might be used to develop an SDOH research agenda.
The 2018 HHS Data Strategy focuses on improving the Department’s capacity to develop statistical evidence to support policymaking and program evaluation over the next six to eight years.
Substance use disorders (SUDs) represent a serious public health problem in the United States. Recent attention has focused most on opioid use, including heroin use and prescription opioid misuse, with the attendant high rates of opioid-related overdoses. Alcohol use disorders are more common than opioid use disorders and also represent a public health concern.
This document summarizes the findings from the Building Evidence for Domestic Violence Services & Interventions study, including the results of a systematic literature review, interviews with subject matter experts, and the discussions over the course of a two day roundtable convening of experts.
This brief is one in a series exploring issues related to the implementation of evidence-based interventions. It describes several constructs that can be used to describe, monitor, and facilitate implementation. It also describes how to apply these constructs in several ways, including data collection to monitor progress and developing an implementation monitoring plan.
This brief is one in a series exploring issues related to the implementation of evidence-based interventions. It describes the basics of readiness using the R=MC2 (Readiness = Motivation × General Capacity and Intervention-Specific Capacity) heuristic, examines some of the policy implications of readiness, and identifies directions for future research.