Document Detail


Why patients visit their doctors: assessing the most prevalent conditions in a defined American population.
MedLine Citation:
PMID:  23274019     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To describe the prevalence of nonacute conditions among patients seeking health care in a defined US population, emphasizing age, sex, and ethnic differences.
PATIENTS AND METHODS: The Rochester Epidemiology Project (REP) medical records linkage system was used to identify all residents of Olmsted County, Minnesota, on April 1, 2009, who had consented to review of their medical records for research (142,377 patients). We then electronically extracted all International Classification of Diseases, Ninth Revision codes noted in the records of these patients by any health care institution between January 1, 2005, and December 31, 2009. We grouped International Classification of Diseases, Ninth Revision codes into clinical classification codes and then into 47 broader disease groups associated with health-related quality of life. Age- and sex-specific prevalence was estimated by dividing the number of individuals within each group by the corresponding age- and sex-specific population. Patients within a group who had multiple codes were counted only once.
RESULTS: We included a total of 142,377 patients, 75,512 (53%) of whom were female. Skin disorders (42.7%), osteoarthritis and joint disorders (33.6%), back problems (23.9%), disorders of lipid metabolism (22.4%), and upper respiratory tract disease (22.1%, excluding asthma) were the most prevalent disease groups in this population. Ten of the 15 most prevalent disease groups were more common in women in almost all age groups, whereas disorders of lipid metabolism, hypertension, and diabetes were more common in men. Additionally, the prevalence of 7 of the 10 most common groups increased with advancing age. Prevalence also varied across ethnic groups (whites, blacks, and Asians).
CONCLUSION: Our findings suggest areas for focused research that may lead to better health care delivery and improved population health.
Authors:
Jennifer L St Sauver; David O Warner; Barbara P Yawn; Debra J Jacobson; Michaela E McGree; Joshua J Pankratz; L Joseph Melton; Véronique L Roger; Jon O Ebbert; Walter A Rocca
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Video-Audio Media    
Journal Detail:
Title:  Mayo Clinic proceedings     Volume:  88     ISSN:  1942-5546     ISO Abbreviation:  Mayo Clin. Proc.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-12-31     Completed Date:  2013-03-12     Revised Date:  2014-01-09    
Medline Journal Info:
Nlm Unique ID:  0405543     Medline TA:  Mayo Clin Proc     Country:  England    
Other Details:
Languages:  eng     Pagination:  56-67     Citation Subset:  AIM; IM    
Copyright Information:
Copyright © 2013 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.
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MeSH Terms
Descriptor/Qualifier:
Age Distribution
Back Pain / epidemiology*
Dyslipidemias / epidemiology*
Epidemiologic Studies*
Female
Humans
International Classification of Diseases
Joint Diseases / epidemiology*
Male
Medical Record Linkage
Minnesota / epidemiology
Prevalence
Quality of Life
Respiratory Tract Diseases / epidemiology*
Skin Diseases / epidemiology*
United States / epidemiology
Grant Support
ID/Acronym/Agency:
R01 AG034676/AG/NIA NIH HHS; R01-AG034676/AG/NIA NIH HHS; UL1 RR024150/RR/NCRR NIH HHS; UL1 RR024150/RR/NCRR NIH HHS
Comments/Corrections
Comment In:
Mayo Clin Proc. 2013 Jul;88(7):776-7   [PMID:  23751982 ]
Mayo Clin Proc. 2013 Jul;88(7):776   [PMID:  23751981 ]

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


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