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Activity Number: 118 - SPEED: Data Challenge
Type: Contributed
Date/Time: Monday, July 31, 2017 : 8:30 AM to 10:20 AM
Sponsor: Government Statistics Section
Abstract #324905
Title: Jointly Modeling the Patient and Consumer Centeredness of Health Care Spending
Author(s): Frank Yoon and Eli Cutler and Brian Hochrein and Gary Pickens and Hal Skinner and Michael A Head*
Companies: IBM Watson Health and IBM Watson Health and IBM Watson Health and IBM Watson Health and IBM Watson Health and IBM Watson Health
Keywords: Health reform ; Data linkage ; Administrative data ; Bayesian inference ; Consumer survey ; Patient-centered outcomes research (PCOR)

Health reform has focused on improving outcomes and containing costs. In patient-centered outcomes research, reform's impacts are typically estimated from administrative claims data, which reflect costs and certain clinical outcomes. For example, innovative programs under the Affordable Care Act are being tested and evaluated with Medicare claims databases ( Yet, claims data, originally designed to pay providers, do not directly reflect the consumer's financial decisionmaking to access care. With the Consumer Expenditure Survey (CE), we holistically view health reform from patient's role as a consumer. Moving to consumer centeredness, we link the CE surveys and others that measure actual spending, such as the AHRQ Medical Expenditures Panel Survey, through geocodes and other mappings. Through blocking on respondent characteristics, we control for observed confounders. We apply Bayesian methods to pool estimates across respondent subgroups. Graphical posterior probabilities illustrate how the individual as both patient and consumer makes decisions based on spending and health outcomes.

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

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