"Concordance between comorbidity data from patient self-report interviews and medical record documentation"

<p>Abstract</p> <p>Background</p> <p>Comorbidity is an important adjustment measure in research focusing on outcomes such as health status and mortality. One recurrent methodological issue concerns the concordance of comorbidity data obtained from different reporting so...

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Main Authors: Corser William, Sikorskii Alla, Olomu Ade, Stommel Manfred, Proden Camille, Holmes-Rovner Margaret
Format: Article
Language:English
Published: BMC 2008-04-01
Series:BMC Health Services Research
Online Access:http://www.biomedcentral.com/1472-6963/8/85
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spelling doaj-b3e7c22024fe414ea4fa9548ecae7ba12020-11-24T20:51:35ZengBMCBMC Health Services Research1472-69632008-04-01818510.1186/1472-6963-8-85"Concordance between comorbidity data from patient self-report interviews and medical record documentation"Corser WilliamSikorskii AllaOlomu AdeStommel ManfredProden CamilleHolmes-Rovner Margaret<p>Abstract</p> <p>Background</p> <p>Comorbidity is an important adjustment measure in research focusing on outcomes such as health status and mortality. One recurrent methodological issue concerns the concordance of comorbidity data obtained from different reporting sources. The purpose of these prospectively planned analyses was to examine the concordance of comorbidity data obtained from patient self-report survey interviews and hospital medical record documentation.</p> <p>Methods</p> <p>Comorbidity data were obtained using survey interviews and medical record entries from 525 hospitalized Acute Coronary Syndrome patients. Frequencies and descriptive statistics of individual and composite comorbidity data from both sources were completed. Individual item agreement was evaluated with simple and weighted kappas, Spearman Rho coefficients for composite scores.</p> <p>Results</p> <p>On average, patients reported more comorbidities during their patient survey interviews (mean = 1.78, SD = 1.99) than providers had documented in medical records (mean = 1.27, SD = 1.43). Higher proportions of positive responses were obtained from self-reports compared to medical records for all conditions except congestive heart failure and renal disease. Older age and higher depressive symptom levels were significantly associated with poorer levels of data concordance.</p> <p>Conclusion</p> <p>These results demonstrate that survey comorbidity data from ACS patients may not be entirely concordat with medical record documentation. In the absence of a gold standard, it is possible that hospital records did not include all pre-admission comorbidities and these patient survey interview methods may need to be refined. Self-report methods to facilitate some patients' complete recall of comorbid conditions may need to be refined by health services researchers.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov NCT00416026.</p> http://www.biomedcentral.com/1472-6963/8/85
collection DOAJ
language English
format Article
sources DOAJ
author Corser William
Sikorskii Alla
Olomu Ade
Stommel Manfred
Proden Camille
Holmes-Rovner Margaret
spellingShingle Corser William
Sikorskii Alla
Olomu Ade
Stommel Manfred
Proden Camille
Holmes-Rovner Margaret
"Concordance between comorbidity data from patient self-report interviews and medical record documentation"
BMC Health Services Research
author_facet Corser William
Sikorskii Alla
Olomu Ade
Stommel Manfred
Proden Camille
Holmes-Rovner Margaret
author_sort Corser William
title "Concordance between comorbidity data from patient self-report interviews and medical record documentation"
title_short "Concordance between comorbidity data from patient self-report interviews and medical record documentation"
title_full "Concordance between comorbidity data from patient self-report interviews and medical record documentation"
title_fullStr "Concordance between comorbidity data from patient self-report interviews and medical record documentation"
title_full_unstemmed "Concordance between comorbidity data from patient self-report interviews and medical record documentation"
title_sort "concordance between comorbidity data from patient self-report interviews and medical record documentation"
publisher BMC
series BMC Health Services Research
issn 1472-6963
publishDate 2008-04-01
description <p>Abstract</p> <p>Background</p> <p>Comorbidity is an important adjustment measure in research focusing on outcomes such as health status and mortality. One recurrent methodological issue concerns the concordance of comorbidity data obtained from different reporting sources. The purpose of these prospectively planned analyses was to examine the concordance of comorbidity data obtained from patient self-report survey interviews and hospital medical record documentation.</p> <p>Methods</p> <p>Comorbidity data were obtained using survey interviews and medical record entries from 525 hospitalized Acute Coronary Syndrome patients. Frequencies and descriptive statistics of individual and composite comorbidity data from both sources were completed. Individual item agreement was evaluated with simple and weighted kappas, Spearman Rho coefficients for composite scores.</p> <p>Results</p> <p>On average, patients reported more comorbidities during their patient survey interviews (mean = 1.78, SD = 1.99) than providers had documented in medical records (mean = 1.27, SD = 1.43). Higher proportions of positive responses were obtained from self-reports compared to medical records for all conditions except congestive heart failure and renal disease. Older age and higher depressive symptom levels were significantly associated with poorer levels of data concordance.</p> <p>Conclusion</p> <p>These results demonstrate that survey comorbidity data from ACS patients may not be entirely concordat with medical record documentation. In the absence of a gold standard, it is possible that hospital records did not include all pre-admission comorbidities and these patient survey interview methods may need to be refined. Self-report methods to facilitate some patients' complete recall of comorbid conditions may need to be refined by health services researchers.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov NCT00416026.</p>
url http://www.biomedcentral.com/1472-6963/8/85
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