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Abstract Details
Activity Number:
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14
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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Abstract - #306112 |
Title:
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Utilization Models in Health Care
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Author(s):
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Iordan Slavov*+
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Companies:
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Address:
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555 Kappock St, #6T, Bronx, NY, 10463, United States
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Keywords:
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Service Utilization ;
Dose-response ;
Generalized Propensity Score ;
Generalized Linear Models ;
Quantile Regression
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Abstract:
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Chronic budget issues in federally funded health care programs such as Medicare make the question of what is the optimal amount of home care someone needs especially important. We focus on rehabilitation/physical therapy (RT) services and using data from a large home care agency are trying to answer the question demonstrating along the way the use of several important modeling techniques. First the length of stay (LOS) is modeled by a quasi-likelihood generalized linear model (with a log link and constant variance) which is increasingly popular in the case of skewed outcomes. Then the frequency of the visits is modeled using generalized propensity score and an additive model. The predicted number of visits for a new patient is the (rounded) product of the estimated LOS and frequency of visits. Modeling the visits for patients falling in a certain LOS bracket, e.g. between 1 and 3 weeks, with the use of quantile regression is also attempted.
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Authors who are presenting talks have a * after their name.
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