• Felicitas Vogelgesang, Roma Thamm, Timm Frerk, Thomas G Grobe, Joachim Saam, Catharina Schumacher, and Julia Thom.
• Department 2: Epidemiology and Health Monitoring, Mental Health, Robert Koch Institute, Berlin, Germany; Department 2: Epidemiology and Health Monitoring, Physical Healthe, Robert Koch Institute, Berlin, Germany; Department of Health Monitoring & Biometrics, aQua-Institute for Applied Quality Improvement and Research in Health Care GmbH, Göttingen, Germany; Department of Health Monitoring & Biometrics, aQua-Institute for Applied Quality Improvement and Research in Health Care GmbH, Göttingen, Germany; BARMER Health Insurace, Berlin, Germany; BARMER Health Insurance, Berlin, Germany; Department 2: Epidemiology and Health Monitoring, Mental Health, Robert Koch Institute, Berlin, Germany.
• Dtsch Arztebl Int. 2024 Mar 8; 121 (5): 141147141-147.

BackgroundThe frequency of medical diagnoses is a figure of central importance in epidemiology and health services research. Prevalence estimates vary depending on the underlying data. For a better understanding of such discrepancies, we compared patients' diagnoses as reported by themselves in response to our questioning with their diagnoses as stated in the routine data of their health insurance carrier.MethodsFor 6558 adults insured by BARMER, one of the statutory health insurance carriers in Germany, we compared the diagnoses of various illnesses over a twelve-month period, as reported by the patients themselves in response to our questioning (October to December 2021), with their ICD-10-based diagnosis codes (Q4/2020-Q3/2021). The degree of agreement was assessed with two kappa values, sensitivity, and specificity.ResultsThe patients' stated diagnoses of diabetes and hypertension agreed well or very well with their diagnosis codes, with kappa and PABAK values near 0.8, as well as very high sensitivity and specificity. Moderately good agreement with respect to kappa was seen for the diagnoses of heart failure (0.4), obesity, anxiety disorder, depression, and coronary heart disease (0.5 each). The poorest agreement (kappa ≤ 0.3) was seen for posttraumatic stress disorder, alcohol-related disorder, and mental and somatoform disorder. Agreement was worse with increasing age.ConclusionDiagnoses as stated by patients often differ from those found in routine health insurance data. Discrepancies that can be considered negligible were found for only two of the 11 diseases that we studied. Our investigation confirms that these two sources of data yield different estimates of prevalence. Age is a key factor; further reasons for the discrepancies should be investigated, and avoidable causes should be addressed.

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