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Hospital Episodes and Physician Visits

The Concordance Between Self-Reports and Medicare Claims

Dados Bibliográficos

ID9103834
AutoresFredric D Wolinsky (0000-0002-0916-4955, University of Iowa, autor correspondente), Thomas R Miller (0000-0002-1692-5839, University of Iowa), Hyonggin An (0000-0002-0566-758X, University of Iowa), John Geweke (University of Iowa), John F Geweke, Robert B Wallace (0000-0001-6040-3803, University of Iowa), Kara Wright (University of Iowa), Kara B Wright, Elizabeth A Chrischilles (0000-0002-1843-1955, University of Iowa), Li Liu (0000-0002-5257-3391, University of Iowa), Claire B Pavlik (University of Iowa), Edwin A Cook (0000-0002-7608-8702), Elizabeth A Cook (0000-0002-3496-9587, University of Iowa), Robert L Ohsfeldt (0000-0002-6117-056X, Texas A&M University), Kelly K Richardson, Kelly Richardson (0000-0001-5976-1232, Iowa City VA Health Care System, autor correspondente), Gary E Rosenthal (0000-0003-3449-5200, University of Iowa, autor correspondente)
Ano2007
Volume45
Fascículo4
Páginas300-307
Data de publicação2007-04-01
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.0000254576.26353.09
PMID17496713
PMCIDPMC1904836
OpenAlexW1975387080
IdiomaEN
Citações recebidas8
Referências citadas33

BACKGROUND: Health services use typically is examined using either self-reports or administrative data, but the concordance between the 2 is not well established. OBJECTIVE: We evaluated the concordance of hospital and physician utilization data from self-reports and claims data, and identified factors associated with disagreement. METHODS: We performed a secondary analysis on linked observational and administrative data. A national sample of 4310 respondents who were 70 years old or older at their baseline interviews was used. Self-reported and Medicare claims-based hospital episodes and physician visits for 12 months before baseline were examined. Kappa statistics were used to evaluate concordance, and multivariable multinomial logistic regression was used to identify factors associated with overreporting (self-reports > claims), underreporting (self-reports < claims), and concordant-reporting (self-reports approximately claims). RESULTS: The concordance of hospital episodes was high (kappa = 0.767 for the 2 x 2 comparison of none vs. some and kappa = 0.671 for the 6 x 6 comparison of none, 1, ..., 4, or 5 or more), but concordance for physician visits was low (kappa = 0.255 for the 2 x 2 comparison of none versus some and kappa = 0.351 for the 14 x 14 comparison of none, 1, ..., 12, and 13 or more). Multivariable multinomial logistic regression indicated that over-, under-, and concordant-reporting of hospital episodes was significantly associated with gender, alcohol consumption, arthritis, cancer, heart disease, psychologic problems, lower body functional limitations, self-rated health, and depressive symptoms. Over-, under-, and concordant-reporting of physician visits were significantly associated with age, gender, race, living alone, veteran status, private health insurance, arthritis, cancer, diabetes, hypertension, heart disease, lower body functional limitations, and poor memory. CONCLUSIONS: Concordance between self-reported and claims-based hospital episodes was high, but concordance for physician visits was low. Factors significantly associated with bidirectional (over- and underreporting) and unidirectional (over- or underreporting) error patterns were detected. Therefore, caution is advised when drawing conclusions based on just one physician visit data source

Concordance · Confidence interval · Family medicine · Logistic regression · Multinomial logistic regression · Observational study · Quartile · Demography · Internal Medicine · Medical Malpractice and Liability Issues · Medicine · Patient Satisfaction in Healthcare · Patient-Provider Communication in Healthcare

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Obras citantes distintas8
Citações por ano0,5
Intervalo de citações2010 - 2024 (15)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 7
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