This study describes a novel method to reweight a comparison group used for causal inference, so the group is similar to a treatment group on observable characteristics yet avoids highly variable weights that would limit statistical power.
Related Publications for Laura Blue
Improving Effect Estimates by Limiting the Variability in Inverse Propensity Score WeightsApr 14, 2020
Million Hearts® Cardiovascular Disease Risk Reduction Model: Evaluation Year 2 Findings at a GlanceNov 30, 2019
The Million Hearts Cardiovascular Disease (CVD) Risk Reduction Model (Million Hearts Model) tests whether providing targeted incentives to health care providers to reduce CVD risk lowers the incidence of first-time heart attacks and strokes among Medicare beneficiaries (ages 40-79 who have not had a...
Evaluation of the Million Hearts® Cardiovascular Disease Risk Reduction Model: Second Annual ReportNov 30, 2019
Evaluation findings from year two of the Million Hearts Cardiovascular Disease Risk Reduction Model.
Effects of a Behavioral Health and Chronic Illness Care Intervention on Patient Outcomes in Primary Care Practices in the DakotasMay 01, 2019
From 2012 to 2015, Sanford Health, a large health care system, integrated behavioral health services and chronic condition care management in some of its primary care practices in the Dakotas and rural Minnesota.
Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence from the Health and Retirement StudyApr 01, 2019
This study assesses how well physiological markers, including select biomarkers and genetic indicators, predict benefits receipt under Social Security Disability Insurance or Supplemental Security Income due to disability.
Effects of a Community-Based Care Management Model for Super UtilizersNov 05, 2018
The purpose of this study was to test the effectiveness of a high-intensity care management program that the Rutgers University Center for State Health Policy (CSHP) implemented as an adaptation of a promising model developed by the Camden Coalition of Healthcare Providers.
Rural Hospital Transitional Care Program Reduces Medicare SpendingMay 11, 2018
A telephonic transitional care program at a rural hospital reduced postdischarge Medicare spending by 31% and reduced inpatient spending for Medicare fee-for-service beneficiaries.
The Impact of a Health Information Technology–Focused Patient-Centered Medical Neighborhood Program Among Medicare Beneficiaries in Primary Care Practices: The Effect on Patient Outcomes and SpendingApr 01, 2018
This paper estimates impacts of TransforMED’s HCIA-funded program on patient outcomes and Medicare parts A and B spending.
Association Between Extending CareFirst's Medical Home Program to Medicare Patients and Quality of Care, Utilization, and SpendingSep 01, 2017
CareFirst, the largest commercial insurer in the mid-Atlantic Region of the United States, runs a medical home program focusing on financial incentives for primary care practices and care coordination for high-risk patients.
Evaluation of Health Care Innovation Awards (HCIA): Primary Care Redesign Programs, First Annual Report Volume I: Technical ReportNov 14, 2014
In July 2012, the Center for Medicare & Medicaid Innovation (CMMI) awarded cooperative agreements to a select group of programs proposing innovative ways to improve the quality and lower the cost of care for Medicare, Medicaid, and Children’s Health Insurance Program (CHIP) enrollees.