Delivery System Reform Incentive Payments: Summative Evaluation Report

This report summarizes findings from a five-year, mixed-methods evaluation of section 1115 Delivery System Reform Incentive Payment (DSRIP) demonstrations in four states.

Delivery System Reform Incentive Payments: Interim Evaluation Report

Delivery System Reform Incentive Payment (DSRIP) demonstrations provide federal funding to hospitals and other health care providers to transform the delivery system and thereby improve quality of care and patient outcomes, reduce the cost of care, and prepare providers for value-based payment.

How Much Do the Effects of Education and Training Programs Vary Across Sites? Evidence from Past Multisite Randomized Trials

Multisite trials, in which individuals are randomly assigned to alternative treatment arms within sites, offer an excellent opportunity to estimate the cross-site average effect of treatment assignment (intent to treat or ITT) and the amount by which this impact varies across sites.

Delivery System Reform Incentive Payments Design Plan Supplement: Interim Outcomes Evaluation

This document is a supplement to the Medicaid 1115 Demonstration Evaluation Design Plan prepared by Mathematica Policy Research and submitted to the Centers for Medicare & Medicaid Services (CMS) in May 2015 (Irvin et al 2015).

Preventing and Mitigating the Effects of ACEs by Building Community Capacity and Resilience: APPI Cross-Site Evaluation Findings (Final Report)

This report summarizes the final findings of a mixed-method evaluation of five community-based initiatives in Washington State that were intended to prevent child maltreatment and exposure to toxic stress, mitigate their effects, and improve child and youth development outcomes.

Preventing and Mitigating the Effects of ACEs by Building Community Capacity and Resilience: APPI Cross-Site Evaluation Findings (Final Report Executive Summary)

This is an executive summary for the report summarizing the final findings of a mixed-method evaluation of five community-based initiatives in Washington State that were intended to prevent child maltreatment and exposure to toxic stress, mitigate their effects, and improve child and youth development...

Preventing and Mitigating the Effects of ACEs by Building Community Capacity and Resilience: APPI Cross-Site Evaluation Findings (Final Report Appendices)

These are the appendices for the report summarizing the final findings of a mixed-method evaluation of five community-based initiatives in Washington State that were intended to prevent child maltreatment and exposure to toxic stress, mitigate their effects, and improve child and youth development outcomes.

Adverse Childhood Experiences: Building Community Capacity and Resilience for Prevention and Mitigation (In Focus Brief)

This mixed-method evaluation examined five community-based initiatives in Washington State intended to prevent child maltreatment and exposure to toxic stress, mitigate their effects, and improve child and youth development outcomes.

Replicating Experimental Impact Estimates With Nonexperimental Methods in the Context of Control-Group Noncompliance

A growing literature on within-study comparisons (WSC) examines whether and in what context nonexperimental methods can successfully replicate the results of randomized experiments.

APPI Cross-Site Evaluation: Interim Report (Executive Summary)

The Adverse Childhood Experiences (ACEs) Public-Private Initiative (APPI) evaluation is a retrospective mixed-methods study designed to answer a central question: “Can a multifaceted, scalable, community-based empowerment strategy focused on mitigating or preventing ACEs succeed in producing a wide array...

APPI Cross-Site Evaluation: Interim Report

The Adverse Childhood Experiences (ACEs) Public-Private Initiative (APPI) evaluation is a retrospective mixed-methods study designed to answer a central question: “Can a multifaceted, scalable, community-based empowerment strategy focused on mitigating or preventing ACEs succeed in producing a wide array...

Horseshoes, Hand Grenades, and Treatment Effects? Reassessing Whether Nonexperimental Estimators are Biased

Randomized controlled trials (RCTs) are considered the gold standard in estimating treatment effects. When an RCT is infeasible, regression modeling or statistical matching are often used instead.

Replicating Experimental Impact Estimates with Nonexperimental Methods in the Context of Control Crossover

Ideally, nonexperimental methods that aim to replicate the results of rigorous randomized experiments focus on the intent to treat (ITT) experimental impact estimate, the most causally rigorous measure.

Horseshoes, Hand Grenades, and Treatment Effects? Reassessing Bias in Nonexperimental Estimators

Nonexperimental methods, such as regression modeling or statistical matching, produce unbiased estimates if the underlying assumptions hold, but these assumptions are usually not testable.