[Evaluation of electronic medical records from general practices using the example of the diagnosis of community-acquired pneumonia: A qualitative feasibility study]. / Nutzung von Daten aus dem Praxisverwaltungssystem eines großen hausärztlichen Verbundes medizinischer Versorgungszentren am Beispiel der Diagnosestellung einer ambulant erworbenen Pneumonie ­ eine qualitative Machbarkeitsstudie.

BACKGROUND: Data collected by general practitioners (GPs) may provide potential for health services research. In this study, we investigated if clinical questions can be answered with GPs' electronic medical records (EMRs) by means of diagnosing community-acquired pneumonia (CAP). METHOD: Patients diagnosed with CAP, defined as ICD code J18.9, were identified in the fourth quarter of 2021. The data were derived from the EMR system (Medical Office®) of a central German association of 30 general practices, using three different approaches: 1. The integrated statistic tool was used to record whether patients were referred for radiological diagnostic confirmation. 2. Retrospectively, EMRs were evaluated manually by a doctor familiar with the EMR. 3. The raw data of the EMR system were extracted by automated export. The information obtained through the three types of access was compared. For each patient case, detailed comments on problems and specifics were documented and evaluated by qualitative content analysis (QCA) according to Mayring. RESULTS: In total, 164 patients diagnosed with CAP were identified. The numbers of documented radiological diagnostic confirmations varied between data approaches: While the manual evaluation of the EMRs revealed 60 referred patients, the statistics tool identified 38 of these cases. The export of the raw data identified 58 referrals to radiography after adjustment. According to QCA, there was a high variation in applied diagnostics and time of diagnosis. Referrals for radiography were made both before and after coding of the diagnosis. In case of hospitalization, X-rays were usually performed during the inpatient stay. Laboratory tests were performed as an alternative to radiography. There was also a high variation in the documentation of risk factors and diagnostic certainty. DISCUSSION: The statistics tool integrated into the EMR system is a quick way to perform simple queries but proved to be impracticable for complex questions. The EMRs provide detailed information but need to be evaluated manually. An automated data export from the raw data offers both detailed information and access to large volumes of data but requires complex preparation and appropriate IT expertise. CONCLUSION: Based on the example of diagnosed CAP in a GP setting, the use of data extracted from an EMR system seems to be feasible to answer simple clinical questions. However, it is necessary to adapt the data export, and a comparison with a small number of manually evaluated cases is useful to achieve valid results.

[Once vaccinated, always vaccinated? A claims data analysis on repeated influenza vaccinations among individuals aged ≥ 60 years]. / Einmal geimpft, immer geimpft? Routinedatenanalyse zur wiederholten Influenzaimpfung von ≥ 60-Jährigen.

BACKGROUND: The Standing Committee on Vaccination recommends the seasonal influenza vaccination as a standard vaccination for individuals aged ≥ 60 years and as an indication vaccination independent of age. Empirical data on repeated vaccination are not available for Germany. The aim of this study was therefore to investigate the frequency and influencing factors of repeated vaccinations. METHODS: We conducted a longitudinal retrospective observational study with claims data from ≥ 60­year-olds insured with the statutory health insurance AOK Plus in Thuringia between 2012 and 2018. The number of seasons with influenza vaccination was described and the association with various individual characteristics was analysed in a regression model. RESULTS: Included were 103,163 individuals with at least one influenza vaccination in the 2014/2015 season, of whom 75.3% had been vaccinated in ≥ 6 of 7 seasons. We found repeated vaccinations more frequently among nursing home residents (rate ratio (RR) 1.27), individuals with increased health risk due to underlying diseases (RR 1.21) and higher age groups (vs. 60-69 years: RR 1.17-1.25). With each additional year of participating in a disease management program, the number of vaccinations increased (RR 1.03). Women (RR 0.91), individuals with nursing care level 1 (vs. no nursing care level: RR 0.90) and people with a comorbidity (vs. no comorbidity: RR 0.97) were less likely to receive repeated vaccinations. DISCUSSION: A large proportion of individuals aged ≥ 60 years who have been vaccinated against influenza once is likely to repeatedly receive vaccinations. In accordance with vaccination recommendations, nursing home residents and in particular individuals with an increased health risk are vaccinated repeatedly. General practitioners play a central role: non-acute patient contacts should be used to offer vaccinations, especially to women and individuals in need of care who are living at home.