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Estimating heterogeneity in the benefits of medical treatment intensity

Author: William N Evans; Craig L Garthwaite; National Bureau of Economic Research.
Publisher: Cambridge, Mass. : National Bureau of Economic Research, ©2009.
Series: Working paper series (National Bureau of Economic Research), no. 15309.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Federal and state laws passed in the late 1990 increased considerably postpartum stays for newborns. Using all births in California over the 1995-2001 period, 2SLS estimates suggest that for the average newborn impacted by the law, increased treatment intensity had modest and statistically insignificant (p-value>0.05) impacts on readmission probabilities. Allowing the treatment effect to vary by pre-existing  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: William N Evans; Craig L Garthwaite; National Bureau of Economic Research.
OCLC Number: 436086097
Notes: "September 2009."
Description: 1 online resource (39 pages) : illustrations, digital.
Series Title: Working paper series (National Bureau of Economic Research), no. 15309.
Responsibility: Wiliam N. Evans, Craig L. Garthwaite.

Abstract:

Federal and state laws passed in the late 1990 increased considerably postpartum stays for newborns. Using all births in California over the 1995-2001 period, 2SLS estimates suggest that for the average newborn impacted by the law, increased treatment intensity had modest and statistically insignificant (p-value>0.05) impacts on readmission probabilities. Allowing the treatment effect to vary by pre-existing conditions or the pre-law propensity score of being discharged early, two objective measures of medical need, demonstrates that the law had large and statistically significant impacts for those with the greatest likelihood of a readmission. These results demonstrate heterogeneity in the returns to greater treatment intensity, and the returns to the average and marginal patient vary considerably.

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