Working Paper: NBER ID: w26360
Authors: Partha Deb; Anjelica Gangaram; Hoda Khajavi
Abstract: We examine the effects of the State Innovation Models (SIM) on population-level health status. The SIM initiative provided $250 million to six states in 2013 for delivery system reforms. We use data from the Behavioral Risk Factor Surveillance System for the years 2010 -- 2016 to compare health of the populations in 6 SIM states to 15 states that were not involved in any aspects of SIM. We examine changes in health using an event study design. We develop a Latent Class Profile model that takes multiple measures of latent health into a common, latent health status to study the effect of the intervention. Such models can yield informative estimates where separate estimation of measures do not. We find that individuals in states that implemented SIM saw significant improvements in health across a number policy-relevant subpopulations.
Keywords: state innovation models; population health; healthcare delivery reforms
JEL Codes: I1; I18
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| SIM initiative (L96) | probability of being in a latent class indicative of better health status (I14) |
| SIM initiative (L96) | health status improvements (I14) |
| SIM initiative (L96) | stronger effects observed among the elderly (J14) |
| SIM initiative (L96) | stronger effects observed among low socioeconomic status individuals (I14) |