The Agreement Between Diagnoses as Stated by Patients and Those Contained in Routine Health Insurance Data.

BACKGROUND: The 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. METHODS: For 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. RESULTS: The 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. CONCLUSION: Diagnoses 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.

Factors Associated with Survey Non-Response in a Cross-Sectional Survey of Persons with an Axial Spondyloarthritis or Osteoarthritis Claims Diagnosis.

Non-response in surveys can lead to bias, which is often difficult to investigate. The aim of this analysis was to compare factors available from claims data associated with survey non-response and to compare them among two samples. A stratified sample of 4471 persons with a diagnosis of axial spondyloarthritis (axSpA) and a sample of 8995 persons with an osteoarthritis (OA) diagnosis from a German statutory health insurance were randomly selected and sent a postal survey. The association of age, sex, medical prescriptions, specialist physician contact, influenza vaccination, hospitalization, and Elixhauser comorbidity index with the survey response was assessed. Multiple logistic regression models were used with response as the outcome. A total of 47% of the axSpA sample and 40% of the OA sample responded to the survey. In both samples, the response was highest in the 70-79-year-olds. Women in all age groups responded more often, except for the 70-79-year-olds. Rheumatologist/orthopedist contact, physical therapy prescription, and influenza vaccination were more frequent among responders. In the logistic regression models, rheumatologist/orthopedist treatment, influenza vaccination, and physical therapy were associated with a higher odds ratio for response in both samples. The prescription of biologic drugs was associated with higher response in axSpA. A high Elixhauser comorbidity index and opioid use were not relevantly associated with response. Being reimbursed for long-term care was associated with lower response-this was only significant in the OA sample. The number of quarters with a diagnosis in the survey year was associated with higher response. Similar factors were associated with non-response in the two samples. The results can help other investigators to plan sample sizes of their surveys in similar settings.

Disease Burden of Patients With Osteoarthritis: Results of a Cross-Sectional Survey Linked to Claims Data.

OBJECTIVE: Osteoarthritis (OA) is a major reason for chronic pain, stiffness, and functional limitation. This study was undertaken to analyze factors associated with the burden of OA, taking the pattern of joint involvement into account. METHODS: From a random sample of 8,995 patients with OA (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, German Modification codes M15 [polyarticular], M16 [hip], or M17 [knee]) from a German statutory health insurance database, 3,564 patients completed a survey including the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Patients with knee, hip, concomitant hip and knee, or polyarticular manifestation were compared concerning pain, stiffness, function, and impact on work and personal life. Data were linked to dispensation records. The association of age, sex, body mass index (BMI), symptom duration, and the World Health Organization-5 Well-Being Index (WHO-5) with WOMAC results was assessed in multiple linear regression models. RESULTS: Patients with knee (n = 1,448), hip (n = 959), hip and knee (n = 399), or polyarthritic (n = 758) OA were included. Concomitant hip and knee OA was accompanied by the highest WOMAC values (mean 44), frequent impairment of personal life (75%), and the highest use of analgesics (52% nonsteroidal antiinflammatory drugs, 22% opioids, and 37% others). In the regression analyses, BMI per 5 units and WHO-5 per 10% worsening were associated with an increase in WOMAC values of 4-5 points, irrespective of the joint manifestations. CONCLUSION: Disease burden is high in patients with concomitant hip and knee OA and is connected with frequent prescription of analgesics. Involvement of several joints, BMI, and depressive symptoms need to be considered when using the WOMAC as an outcome instrument.

[Utilization of individual out-of-pocket health services (IGeL) in persons with osteoarthritis in Germany : Results of a survey from the PROCLAIR study]. / Inanspruchnahme von individuellen Gesundheitsleistungen (IGeL) bei Arthrose in Deutschland : Ergebnisse einer Befragung im Rahmen der PROCLAIR-Studie.

BACKGROUND: Little is known about the utilization of individual health services performed by a physician (IGeL) and the services and supplements provided outside a doctor's office (MuPaP) for osteoarthritis patients. OBJECTIVES: The aims of this study are to analyze the use of osteoarthritis-specific IGeL and MuPaP as well as predictors for their utilization. MATERIALS AND METHODS: For this cross-sectional study, claims data was used to identify all persons with hip, knee, or polyarticular osteoarthritis in 2014 (n = 657,807). A random sample (n = 8995) was sent a questionnaire about their usage of IGeL and MuPaP. Furthermore, the type of physicians conducting or recommending services was evaluated. Applying multivariable logistic regression, predictors associated with the utilization of IGeL, MuPaP, and overall individual health services were analyzed. RESULTS: After validating the data and osteoarthritis diagnosis, 2363 persons were enrolled (mean age: 65.5 years, 72% female). In the last 12 months, 39% of patients had used at least one IGeL (MuPaP: 76%), with 86% being primarily performed by orthopedists (MuPaP: 88% patient self-motivated). Knee osteoarthritis was associated with increased utilization of IGeL. Having female gender, higher income, residence in Western Germany, higher disease burden, and lower satisfaction with the healthcare system were influences on the use of overall individual health services. CONCLUSIONS: Since patients with high disease burden in particular tend to use these therapies with varying treatment success, detailed information, especially about the risks and existing evidence, should be a prerequisite for trustworthy doctor-patient relationships.

Pediatric Chronic Inflammatory Bowel Disease in a German Statutory Health INSURANCE-Incidence Rates From 2009 to 2012.

OBJECTIVE: The incidence of pediatric inflammatory bowel disease (PIBD) varies over time and geographic region. We attempted to generate incidence rates form German health insurance data. METHODS: We used health care data for 2009-2015 provided by BARMER, a major statutory health insurance company in Germany, insuring approximately 8% of the pediatric population. We applied a Canadian case definition for PIBD based on International Classification of Diseases coding, documentation of (ileo)colonoscopy and the number of PIBD related visits, without external validation for Germany. An internal validation of the specificity of the diagnosis by checking whether the identified incident cases had also prescriptions of PIPD specific drugs was performed. RESULTS: In 2012, 187 pediatric patients were newly diagnosed, accounting for an overall PIBD incidence of 17.41 (95% CI 15.08-20.10) per 100,000 insured children and adolescents from 0 to 17.9 years per year compared with 13.65/100,000 (95% CI 11.63-16.01) in 2009. The age-specific incidence showed a steep increase as of the age of 7 years. The PIBD prevalence in 2012 was 66.29/100,000. CONCLUSIONS: In conclusion, the incidence of PIBD in 0 to 17.9-year-olds in Germany with health BARMER health insurance in 2012 is among the highest reported in the literature.