[Health Science Research with Primary Care Routine Data From Electronic Patient Records: the BeoNet Registry]. / Gesundheitswissenschaftliche Forschung mit primärärztlichen Routinedaten der elektronischen Patientenakte: das BeoNet-Register.

Reliable current information is needed for daily patient care and the health system, but comprehensive data, especially from primary care, are scarce and/or hard to access. The BeoNet Register-Database (BNR) aims to depict quality of medical care in Germany using routine data and with no additional documentation or costs for GPs. Registry design, data structure and database use will be demonstrated using chronic obstructive lung disease (COPD) as an example. The BNR is moving through pilot- and roll-out phases. Participating practices provide standardized information about (1) master data (2) practice profile (3) infrastructure and documentation systems. The routinely documented data will be pseudonymized before transmission via standardized secure interfaces to the registry database. Practices can participate in studies in cooperation with BNR if informed consent is obtained from the patients. The registry data will be linked with questionnaires on health care utilization, quality of life and disease-specific parameters. Researchers and physicians can access quasi anonymized data in specific datasets extracted from the registry. Regular automatic data quality checks and feedback from GPs, patients and researchers enhance the quality of the registry. Performance and data analysis are continuously optimized. The data security concept has been approved and ethical approval is on hand. GPs, pediatricians and pneumologists from Hanover, Munich and Heidelberg participated in the pilot phase. The registry database currently holds 98497 patient IDs and related information. BNR contains more than the standard billing data collected by health insurers. The data are applicable to a wide range of health practices, health care and economics and disease development questions. Questionnaires have been generated, tested and are being distributed. First descriptive analyses of prevalence, age and gender have been performed. Quality and validity checks have been implemented. 2016 marks the roll-out phase of the BNR. Further recruitment of practices throughout Germany, data linkage with additional questionnaires, recruitment of patients for health care research projects, quality checks and data analysis of disease-specific costs and health-related quality of life in COPD are progressing with the overall aim of improving pulmonary healthcare strategies. The floor is now open for retro- and prospective cross-sectional and longitudinal studies.