Document Detail


Moral hazard, doctors, and absenteism in France. Preliminary analysis based on aggregate data.
MedLine Citation:
PMID:  17583459     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This article provides a simple and preliminary study of variations in the number of days of work lost to illness and injury in France, over time and across jurisdictions. We test the hypothesis that workers use their physicians to cheat the system and increase their leisure time paid for by the sickness fund. Firstly, using time series analysis, we check that change in the unemployment rate correlates unequivocally and negatively with the absence rate. We then show, based on geographical aggregate level data, that physicians' density is not positively correlated to sick leaves, which runs contrary to the idea of cheating helped by doctors. We suggest and test for alternative factors, such as baseline population health. If the increase in the number of days lost to illness is seen as a matter of concern, our recommended policy would be to target demand side as well as supply side in the labour market.
Authors:
M Grignon; T Renaud
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Revue d'épidémiologie et de santé publique     Volume:  55     ISSN:  0398-7620     ISO Abbreviation:  Rev Epidemiol Sante Publique     Publication Date:  2007 Aug 
Date Detail:
Created Date:  2007-08-06     Completed Date:  2007-09-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7608039     Medline TA:  Rev Epidemiol Sante Publique     Country:  France    
Other Details:
Languages:  eng     Pagination:  243-51     Citation Subset:  IM    
Affiliation:
McMaster University, Economics, Health Aging and Society, Hamilton, Ontario, Canada. grignon@mcmaster.ca
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MeSH Terms
Descriptor/Qualifier:
Absenteeism*
Analysis of Variance
Female
France
Humans
Insurance, Health / economics*
Male
Morals*
Physicians* / supply & distribution
Sick Leave* / economics
Time Factors
Unemployment

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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