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The geography of hospital admission in a national health service with patient choice
Author(s) -
Fabbri Daniele,
Robone Silvana
Publication year - 2010
Publication title -
health economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.55
H-Index - 109
eISSN - 1099-1050
pISSN - 1057-9230
DOI - 10.1002/hec.1639
Subject(s) - residence , consistency (knowledge bases) , poisson distribution , estimator , poisson regression , independence (probability theory) , gravity model of trade , demography , medicine , health care , econometrics , statistics , geography , demographic economics , economics , mathematics , environmental health , economic growth , population , geometry , sociology , international trade
Each year about 20% of the 10 million hospital inpatients in Italy get admitted to hospitals outside the Local Health Authority of residence. In this paper we carefully explore this phenomenon and estimate gravity equations for ‘trade’ in hospital care using a Poisson pseudo‐maximum likelihood method. Consistency of the PPML estimator is guaranteed under the null of independence provided that the conditional mean is correctly specified. In our case we find that patients' flows are affected by network autocorrelation. We correct for it by relying upon spatial filtering. Our results suggest that the gravity model is a good framework for explaining patient mobility in most of the examined diagnostic groups. We find that the ability to restrain patients' outflows increases with the size of the pool of enrollees. Moreover, the ability to attract patients' inflows is reduced by the size of pool of enroless for all LHAs except for the very big LHAs. For LHAs in the top quintile of size of enrollees, the ability to attract inflows increases with the size of the pool. Copyright © 2010 John Wiley & Sons, Ltd.

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