• S E Schultz, D M Rothwell, Z Chen, and K Tu.
• Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada. sue.schultz@ices.on.ca
• Chron Dis Inj Can. 2013 Jun 1;33(3):160-6.

IntroductionTo determine if using a combination of hospital administrative data and ambulatory care physician billings can accurately identify patients with congestive heart failure (CHF), we tested 9 algorithms for identifying individuals with CHF from administrative data.MethodsThe validation cohort against which the 9 algorithms were tested combined data from a random sample of adult patients from EMRALD, an electronic medical record database of primary care physicians in Ontario, Canada, and data collected in 2004/05 from a random sample of primary care patients for a study of hypertension. Algorithms were evaluated on sensitivity, specificity, positive predictive value, area under the curve on the ROC graph and the combination of likelihood ratio positive and negative.ResultsWe found that that one hospital record or one physician billing followed by a second record from either source within one year had the best result, with a sensitivity of 84.8% and a specificity of 97.0%.ConclusionPopulation prevalence of CHF can be accurately measured using combined administrative data from hospitalization and ambulatory care.

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