GRAVITY MODEL APPLICATIONS IN HEALTH PLANNING: ANALYSIS OF AN URBAN HOSPITAL MARKET
In this paper a gravity model is formulated to model a hospital patient flow system. Both spatial and nonspatial measures of separation are used to estimate the model. Travel time was found to provide improved fits over linear distance in modeling patient flow behavior. Transformations of travel tim...
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Published in | Journal of regional science Vol. 36; no. 3; pp. 437 - 461 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.08.1996
Regional Science Research Institute Blackwell Publishers Inc |
Subjects | |
Online Access | Get full text |
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Summary: | In this paper a gravity model is formulated to model a hospital patient flow system. Both spatial and nonspatial measures of separation are used to estimate the model. Travel time was found to provide improved fits over linear distance in modeling patient flow behavior. Transformations of travel time (square root and log) were found to improve model performance further. Model diagnostics suggested additional spatial separation measurw, separation measure parameters demonstrated stability over time. The model is used to forecast the effects of health care financing reform and hospital closure on patient flows in an urban hospital market. Universal health coverage was found to dramatically improve access to hospital services for lower income patient populations. Hospitals at risk for closure were forecast to receive increased patient flows. Medical school hospitals are expected to lose patients after implementation of health reform, with important implications for graduate medical education. Hospital closures were shown to have negative effects on access to services in poor neighborhoods, but relatively little effect on access in the system as a whole. |
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Bibliography: | ArticleID:JORS437 ark:/67375/WNG-G3X1041V-M We are grateful to Tony E. Smith and four anonymous reviewers for their helpful comments in developing this paper. We also thank the Illinois Hospital Association for providing the hospital trip data and the Agency for Health Care Policy and Research for its support through Grant No. HS06949. istex:6E77E8F4384B6B91193741872524C12347DAB3A3 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0022-4146 1467-9787 |
DOI: | 10.1111/j.1467-9787.1996.tb01111.x |