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Length of Stay - A Data Analytic Approach

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    The length of stay (LOS) at a hospital of a patient contains important information in health statistics irrespective of the fact whether the patient is insured or not. A longer stay may result in resource restrictions with regard to the availability of beds at hospitals. Some of the determinants of length of stay are the demographic characteristics and hospital characteristics. This paper attempts to model the distribution of and try to explain the variation in LOS through age, gender and type of disease for the Indian data. The data set used is the insured data submitted by third party administrators.

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  • , 2010. "Length of Stay - A Data Analytic Approach," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(2), pages 42-60.
    • Handle: RePEc:jqe:jqenew:v:8:y:2010:i:2:p:42-60
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    File URL: http://www.jqe.co.in/journals/JQE_v8_n2_2010_p4.pdf
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    1. Martin, Stephen & Smith, Peter, 1996. "Explaining variations in inpatient length of stay in the National Health Service," Journal of Health Economics, Elsevier, vol. 15(3), pages 279-304, June.
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