The Appendices to the Fourth Annual Report provide detailed information about the data, methods, analyses, and findings from the independent evaluation of the first four years of CPC+ for the practices that began the model in 2017.
This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses.
In this article, we produce yearly estimates of trends in the risk of workforce exit due to disability for states and demographic subgroups.
This study examines the impact of Democracy Prep on voter registration and participation in the 2016 election.
Policy makers seek to replace the “thumbs up–thumbs down” of conventional hypothesis testing with statements about the probability that program effects on key outcomes exceed policy-relevant thresholds.
This report describes the implementation and impacts of the Independence at Home demonstration over its first four years. Also, the report examines whether home-based primary care reduces Medicare expenditures and hospital use.
Education in the United States has a foundational public purpose: to prepare students for effective citizenship.
This brief describes an alternative framework for interpreting impact estimates, known as the BAyeSian Interpretation of Estimates (BASIE).
Bayesian statistics have become popular in the social sciences, in part because they are thought to present more useful information than traditional frequentist statistics.
Researchers often wish to test a large set of related interventions or approaches to implementation.
Researchers often wish to test a large set of related interventions or approaches to implementation.
This is the fourth and final report evaluating the four-year Comprehensive Primary Care (CPC) initiative, which was launched by the Center for Medicare & Medicaid Innovation (CMMI) of the Centers for Medicare & Medicaid Services (CMS) to improve primary care delivery, health care quality, and patient...
This is the appendix to the fourth and final report evaluating the four-year Comprehensive Primary Care (CPC) initiative, which was launched by the Center for Medicare & Medicaid Innovation (CMMI) of the Centers for Medicare & Medicaid Services (CMS) to improve primary care delivery, health care quality,...
Using randomized admissions lotteries to conduct an experimental analysis, we find that the Democracy Prep charter-school network produces substantial positive impacts on rates of voter registration and election participation after students become old enough to vote.
In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries.
We test RD’s validity across 15 studies, each of which compared impact estimates from RD with those from a corresponding RCT. We find bias below 0.01 standard deviations on average, and below 0.07 by study based on results shrunken to capitalize on information from the other studies.
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).
This article describes the impacts for Medicare fee-for-service beneficiaries’ cost, service use, quality of care, and patient experience of the first three years of the Comprehensive Primary Care (CPC) initiative.
This article describes the impacts for Medicare fee-for-service beneficiaries’ cost, service use, quality of care, and patient experience of the first three years of the Comprehensive Primary Care (CPC) initiative.
This is an interim evaluation report for the Partnership for Patients (PfP) campaign. The goals of the evaluation were to assess the reduction in inpatient harms and readmissions during the period 2011–2014, and to assess, if possible, the contribution that PfP made to those reductions.
Undernutrition, resulting in restricted growth, and quantified here using height-for-age z-scores, is an important contributor to childhood morbidity and mortality.
In the coming years, public programs will continuously capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries, for example.
This methods report describes Mathematica Policy Research’s approach to creating risk-adjustment models using composite measures to profile care delivered to the home- and community-based service (HCBS) population.