Concordance between administrative health data and medical records for diabetes status in coronary heart disease patients: a retrospective linked data study

BMC Medical Research Methodology

Tom G Briffa²  Judith M Katzenellenbogen³  Frank M Sanfilippo²  Joseph Hung¹  Matthew Knuiman²  Lee Nedkoff² 

[1] School of Medicine and Pharmacology, Sir Charles Gairdner Hospital Unit, The University of Western Australia, Crawley, WA, Australia;School of Population Health, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia;Combined Universities Centre for Rural Health, The University of Western Australia, Crawley, WA, Australia

关键词: Comorbidity;    Concordance;    Hospital morbidity data;    Administrative data;    Diabetes;    Coronary heart disease;   

Others  :  866667
DOI  :  10.1186/1471-2288-13-121

 received in 2013-05-13, accepted in 2013-09-26,  发布年份 2013

【 摘 要 】

Background

Administrative data are a valuable source of estimates of diabetes prevalence for groups such as coronary heart disease (CHD) patients. The primary aim of this study was to measure concordance between medical records and linked administrative health data for recording diabetes in CHD patients, and to assess temporal differences in concordance. Secondary aims were to determine the optimal lookback period for identifying diabetes in this patient group, whether concordance differed for Indigenous people, and to identify predictors of false positives and negatives in administrative data.

Methods

A population representative sample of 3943 CHD patients hospitalized in Western Australia in 1998 and 2002–04 were selected, and designated according to the International Classification of Diseases (ICD) version in use at the time (ICD-9 and ICD-10 respectively). Crude prevalence and concordance were compared for the two samples. Concordance measures were estimated from administrative data comparing diabetes status recorded on the selected CHD admission (‘index admission’) and on any hospitalization in the previous 1, 2, 5, 10 or 15 years, against hospital medical records. Potential modifiers of agreement were determined using chi-square tests and multivariable logistic regression models.

Results

Identification of diabetes on the index CHD admission was underestimated more in the ICD-10 than ICD-9 sample (sensitivity 81.5% versus 91.1%, underestimation 15.1% versus 4.4% respectively). Sensitivity increased to 89.6% in the ICD-10 period using at least 10 years of hospitalization history. Sensitivity was higher and specificity lower in Indigenous patients, and followed a similar pattern of improving concordance with increasing lookback period. Characteristics associated with false negatives for diabetes on the index CHD hospital admission were elective admission, in-hospital death, principal diagnosis, and in the ICD-10 period only, fewer recorded comorbidities.

Conclusions

The accuracy of identifying diabetes status in CHD patients is improved in linked administrative health data by using at least 10 years of hospitalization history. Use of this method would reduce bias when measuring temporal trends in diabetes prevalence in this patient group. Concordance measures are as reliable in Indigenous as non-Indigenous patients.

【 授权许可】

   
2013 Nedkoff et al.; licensee BioMed Central Ltd.

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