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"Concordance between comorbidity data from patient self-report interviews and medical record documentation"
William Corser1, Alla Sikorskii, Ade Olomu
1College of Nursing, Michigan State University, B500A West Fee Hall,, East Lansing, Michigan 48824, USA. bill.corser@ht.msu.edu
BMC Health Services Research
|April 18, 2008
Summary
Patient self-reports often list more comorbidities than hospital records, especially for Acute Coronary Syndrome (ACS) patients. This highlights potential discrepancies in comorbidity data collection methods.
Area of Science:
- Health Services Research
- Clinical Epidemiology
Background:
- Comorbidity data concordance is crucial for health status and mortality research.
- Methodological challenges arise from differing data sources for comorbidity assessment.
- This study prospectively examined data concordance between patient self-reports and hospital medical records.
Purpose of the Study:
- To evaluate the agreement between patient-reported comorbidities and those documented in hospital medical records.
- To identify factors influencing the concordance of comorbidity data in Acute Coronary Syndrome (ACS) patients.
Main Methods:
- Survey interviews and medical record reviews were conducted with 525 hospitalized ACS patients.
- Frequencies, descriptive statistics, simple/weighted kappas, and Spearman Rho coefficients were used for analysis.
- Agreement for individual and composite comorbidity data was assessed.
Main Results:
- Patients reported more comorbidities (mean=1.78) than documented in records (mean=1.27).
- Self-reports showed higher positive responses for most conditions, except congestive heart failure and renal disease.
- Older age and higher depressive symptoms correlated with lower data concordance.
Conclusions:
- Comorbidity data from patient surveys may not fully align with hospital medical record documentation for ACS patients.
- Potential underdocumentation in hospital records and the need for refined self-report methods are indicated.
- Health services researchers may need to improve patient survey methods for complete comorbidity recall.
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