This project will show the importance of family based spillover effects from health interventions in calculating cost effectiveness analysis as well as provide novel estimates of causal spousal effects in health behaviors. This is important because, currently, no comparative effectiveness or cost effectiveness analyses account for social spillover benefits of treatments, interventions, or programs designed to increase individual and population level health outcomes. This limits our ability to suggest best practices that weigh the comprehensive benefits, costs, and effectiveness of these programs. These issues will become even more important with the passage of the Affordable Care Act (ACA) as well as the introduction of the Patient- Centered Outcomes Research Institute (PCORI) because of the focus on comparative effectiveness estimates in determining treatment and reimbursement patterns in the US. This project extends prior research by using two complementary clinical datasets and experimental empirical methods to examine the importance of spousal spillover effects in determining health behavior outcomes and examine the theoretical and practical implications these spillover effects have on traditional cost benefit, cost effectiveness, and comparative effectiveness measures of treatments, programs, and interventions. We have two specific aims:
Specific Aim #1 : Use multiple clinical datasets to estimate causal effects of treatments for health behaviors on the outcomes of spouses. While there is a large literature showing very large and important correlations in health behavior decisions between spouses, there are nearly no causal estimates of these effects.
This aim i s novel in the literature due to our focus on leveraging experimental data to separate causal and non-causal impacts of spousal health behaviors on individual outcomes.
Specific Aim #2 : Utilize estimates from Aim 1 to extend cost-effectiveness analysis methods for broader use.
Aim 2 will examine the implications of the estimates in Aim 1 and similar estimates of social spillovers from the literature for extending comparative effectiveness methods and evidence to consider these spillovers. In addition to this empirical and theoretical extension, we will create a document to collect plug in values from the literature on social/peer spillovers of substance use and other health outcomes for use by CEA and comparative effectiveness researchers in these areas.

Public Health Relevance

This project uses pre-existing clinical trial data from tobacco and alcohol interventions to create two related and important estimates. First, we will provide unique causal evidence on the spousal spillover effects of these health behaviors by asking whether untreated individuals change their smoking/drinking habits when their spouses are randomly assigned treatments for these outcomes. Second, these spousal spillover estimates and other estimates from the literature will be used to both show the importance of incorporating social spillovers more generally in cost benefit, cost effectiveness, and comparative effectiveness analysis and be used to build more comprehensive analyses of treatment impacts that can be broadly applied.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Small Research Grants (R03)
Project #
5R03DA038299-02
Application #
9032486
Study Section
Health Services Organization and Delivery Study Section (HSOD)
Program Officer
Duffy, Sarah Q
Project Start
2015-07-01
Project End
2017-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Wisconsin Madison
Department
Type
Schools of Arts and Sciences
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Fletcher, Jason; Marksteiner, Ryne (2017) Causal Spousal Health Spillover Effects and Implications for Program Evaluation. Am Econ J Econ Policy 9:144-166