| Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level. | |
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MedLine Citation:
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PMID: 16127673 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We report an empirical analysis of the responses of the supply and demand for secondary care to waiting list size and waiting times. Whereas previous empirical analyses have used data aggregated to area level, our analysis focuses on the supply responses of a single hospital and the demand responses of the GP practices it serves, and distinguishes between first outpatient visits, inpatient admissions, day-case treatment and emergency admissions. The results are plausible and in line with the theoretical model. For example: the demand from practices for first outpatient visits is negatively affected by waiting times and distance to the hospital. Increases in waiting times and waiting lists lead to increases in supply; the supply of elective inpatient admissions is affected negatively by current emergency admissions and positively by lagged waiting list and waiting time. We use the empirical results to investigate the dynamic responses to one off policy measures to reduce waiting times and lists by increasing supply. |
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Authors:
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Frank Windmeijer; Hugh Gravelle; Pierre Hoonhout |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Health economics Volume: 14 ISSN: 1057-9230 ISO Abbreviation: Health Econ Publication Date: 2005 Sep |
Date Detail:
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Created Date: 2005-09-13 Completed Date: 2005-12-21 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9306780 Medline TA: Health Econ Country: England |
Other Details:
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Languages: eng Pagination: 971-85 Citation Subset: IM |
Copyright Information:
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(c) 2005 John Wiley & Sons, Ltd. |
Affiliation:
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Centre for Microdata Methods and Practice, Institute for Fiscal Studies, UK. f.windmeijer@ifs.org.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Health Services Needs and Demand
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economics*,
organization & administration Humans Models, Econometric* Patient Admission / economics*, statistics & numerical data Primary Health Care / economics*, organization & administration Waiting Lists* |
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