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Activity Number: 122
Type: Topic Contributed
Date/Time: Monday, August 10, 2015 : 8:30 AM to 10:20 AM
Sponsor: Health Policy Statistics Section
Abstract #315517
Title: Health Care Policy Evaluation Using Propensity Score Matching: A Study of Care Consistent with a Patient-Centered Medical Home Using a Large Population Survey
Author(s): Robert Ashmead* and Bo Lu
Companies: U.S. Census Bureau/Center for Statistical Research & Methodology and The Ohio State University College of Public Health
Keywords: Propensity Score ; Survey Sampling ; Causal Inference ; Matching
Abstract:

The Patient-Centered Medical Home (PCMH) is a model of healthcare delivery that seeks to lower costs and improve patients' access and outcomes by creating a more coordinated and comprehensive primary care experience. It is challenging to appropriately evaluate its impact because the PCMH concept includes many components, and individual health outcome data are mostly observational and often collected in the form of complex surveys. To provide a rigorous statistical tool, we extend the commonly used propensity score matching method to incorporate the complex survey design. Full matching and one-to-k matching estimators are developed and variance estimation is discussed. Statistical properties of estimators are compared through simulation studies. The impact of care consistent with a PCMH on self-reported health is evaluated using the 2012 Ohio Medicaid Assessment Survey. We find that on average, adults ages 55-75 years with a chronic health condition who receive care consistent with a PCMH have similar health status ratings as those with only a personal doctor or nurse. Additional studies of the PCMH model are needed to evaluate its effectiveness.


Authors who are presenting talks have a * after their name.

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