Document Detail


Self-report versus state records for identifying crashes among older drivers.
MedLine Citation:
PMID:  9158561     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: There is growing concern about the potential safety implications of the increasing number of older drivers. A primary consideration in determining risk is the method of outcome ascertainment. In the case of motor vehicle crashes, the two most common methods are self-report and state records of events. METHODS: The self-report of motor vehicle crashes was compared to state records among all active drivers (n = 358) in a representative cohort of community-living individuals age 72 years and older in New Haven, Connecticut, in 1989. In the baseline interview, participants who reported driving were asked if they had had any crashes in the previous year. This was compared to state-recorded crashes over the same period. RESULTS: Of the 358 drivers, 33 either reported or had a state record of a crash in the previous year. Of the 33, 20 were identified by self-report only, 9 by both self-report and state records, and 4 by state records only. In the two cases where license reexamination was requested by the officer at the scene, both drivers reported the event in the interview. CONCLUSIONS: Self-report and state records provide complementary information for the ascertainment of crashes among older drivers, although in this sample self-report yielded more events.
Authors:
R A Marottoli; L M Cooney; M E Tinetti
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  The journals of gerontology. Series A, Biological sciences and medical sciences     Volume:  52     ISSN:  1079-5006     ISO Abbreviation:  J. Gerontol. A Biol. Sci. Med. Sci.     Publication Date:  1997 May 
Date Detail:
Created Date:  1997-06-23     Completed Date:  1997-06-23     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  9502837     Medline TA:  J Gerontol A Biol Sci Med Sci     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  M184-7     Citation Subset:  AIM; IM    
Affiliation:
VA Connecticut Healthcare System, West Haven.
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MeSH Terms
Descriptor/Qualifier:
Accidents, Traffic*
Aged
Aging*
Cohort Studies
Female
Forms and Records Control*
Humans
Male
Self Disclosure*
State Government*
Grant Support
ID/Acronym/Agency:
AG-07449/AG/NIA NIH HHS

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


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