Year: 2022
Type: report
Abstract: We develop a stylized model that allows us to estimate a value-added measure for nursing homes ("SNFs") which accounts for patient selection both into and out of a SNF.We use the model, together with detailed data on the physical and mental health of about 6 million Medicare SNF patients between 2011 and 2016, to estimate the value added for about 14,000 distinct SNFs.We document substantial heterogeneity in value added.Nationwide, compared to a 10th percentile SNF, a 90th percentile SNF is able to discharge a patient at the same health level about a week sooner, which is about one third of the median length of stay.Heterogeneity in value added within a market is almost as large as it is nationwide.Our results point to the potential for substantial gains through policies that encourage reallocation of patients to higher-quality SNFs within their market.
DOI: 10.3386/w30228
Authors: Liran Einav, Amy Finkelstein, Neale Mahoney
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4290695245