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Data Sources for Measuring Comorbidity

A Comparison of Hospital Records and Medicare Claims for Cancer Patients

Dados Bibliográficos

ID9103601
AutoresCarrie N Klabunde (National Cancer Institute), Linda C Harlan (National Cancer Institute), Joan L Warren (0000-0002-6467-6769, National Cancer Institute)
Ano2006
Volume44
Fascículo10
Páginas921-928
Data de publicação2006-10-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000223480.52713.b9
PMID17001263
OpenAlexW2035227308
IdiomaEN
Citações recebidas10
Referências citadas22

BACKGROUND: Identifying appropriate comorbidity data sources is a key consideration in health services and outcomes research. OBJECTIVE: Using cancer patients as an example, we compared comorbid conditions identified: 1) on the discharge facesheet versus full hospital medical record and 2) in the hospital record versus Medicare claims, both precancer diagnosis and associated with a cancer treatment-related index hospitalization. METHODS: We used data from 1995 Surveillance, Epidemiology and End Results patterns of care studies for 1,382 patients. Comorbid conditions were ascertained from the hospital record associated with the most definitive cancer treatment and Medicare claims. We calculated the prevalence for and assessed concordances among 12 conditions derived from the hospital record facesheet; full hospital record; Medicare claims precancer diagnosis, with and without a rule-out algorithm applied; and Medicare claims associated with an index hospitalization. RESULTS: The proportion of patients with one or more comorbid conditions varied by data source, from 21% for the facesheet to 85% for prediagnosis Medicare claims without the rule-out algorithm. Condition prevalences were substantially lower for the facesheet compared with the full hospital record. For prediagnosis Medicare claims, condition prevalences were more than 1.7 times greater in the absence of an algorithm to screen for rule-out diagnoses. Measures assessing concordance between the full hospital record and prediagnosis Medicare claims (rule-out algorithm applied) showed modest agreement. CONCLUSIONS: The hospital record and Medicare claims are complementary data sources for identifying comorbid conditions. Comorbidity is greatly underascertained when derived only from the facesheet of the hospital record. Investigators using Part B Medicare claims to measure comorbidity should remove conditions that are listed for purposes of generating bills but are not true comorbidities

Charlson comorbidity index · Comorbidity · Concordance · Hospital discharge · Intensive care medicine · Medical diagnosis · Medical emergency · Medical record · MEDLINE · Chronic Disease Management Strategies · Emergency Medicine · Epidemiology · Frailty in Older Adults · Internal Medicine · Medical Coding and Health Information · Medicine

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    Steven T Fleming, Susan A Sabatino et al.•Medical Care•2011

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    Patricia St Clair, Étienne Gaudette et al.•Medical Care•2017

  • Response to Letter from Dr. Steven T. Fleming

    Carrie N Klabunde, Linda C Harlan et al.•Medical Care•2007

  • The Contribution of Longitudinal Comorbidity Measurements to Survival Analysis

    C Y Wang, Laura-Mae Baldwin et al.•Medical Care•2009

  • Multiple Chronic Conditions and Life Expectancy

    Eva H DuGoff, Vladimir Canudas-Romo et al.•Medical Care•2014

  • Data Sources for Measuring Comorbidity

    Steven T Fleming•Medical Care•2007

  • Impact of Policy Changes on Emergency Department Use by Medicaid Enrollees in Oregon

    R A Lowe, Rongwei Fu et al.•Medical Care•2010

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    Tracy Onega, Julia E Weiss et al.•Medical Care•2016

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    John M Hollingsworth, Yun S Zhang et al.•Medical Care•2011

  • Development of a comorbidity index using physician claims data

    Open Access•Carrie N Klabunde, Arnold L Potosky et al.•Journal of Clinical Epidemiology•2000

  • Trends in Prevalence, Awareness, Treatment, and Control of Hypertension in the United States, 1988-2000

    Ihab Hajjar•JAMA•2003

  • Multimorbidity in General Practice

    Open Access•Marjan Van Den Akker, Frank Buntinx et al.•Journal of Clinical Epidemiology•1998

  • The Measurement of Observer Agreement for Categorical Data

    J R Landis, Gary G Koch•Biometrics•1977

  • A new method of classifying prognostic comorbidity in longitudinal studies

    Open Access•Mary E Charlson, Peter Pompei et al.•Journal of Chronic Diseases•1987

  • Reliability in Adolescent Reporting of Clinician Counseling, Health Care Use, and Health Behaviors

    John Santelli, J Douglass Klein et al.•Medical Care•2002

  • Do Patients Consistently Report Comorbid Conditions Over Time

    Carrie N Klabunde, Bryce B Reeve et al.•Medical Care•2005

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    Lois Quam, Lynda B M Ellis et al.•Medical Care•1993

  • Do panel surveys make people sick? US arthritis trends in the Health and Retirement Study

    Open Access•Stanley E Wilson, Sven E Wilson et al.•Social Science & Medicine•2005

Obras citantes distintas10
Citações por ano0,53
Intervalo de citações2007 - 2017 (11)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 10
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