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Background: Early information and support in dementia (FIDEM) is a cross-sectoral, general practitioner-centered network model for the improvement of community-based care of people with dementia and their caregivers by systematically assigning them to non-physician healthcare providers. Objective: To describe the implementation of FIDEM in Göttingen, Germany and to exploratorily evaluate satisfaction and relief vs. additional workload. Material and methods: FIDEM was established in Göttingen in 2017. Community-based and district-based networks consisted of medical (general practitioners) and non-medical cooperation partners (occupational therapists, care counselling, other non-medical care providers) and were instructed to efficiently share information. During biannual network meetings from August 2017 to October 2019, a self-developed questionnaire for quality management and evaluation of the aspects of the project described above was filled out by participants attending the meetings. Results: Consecutive recruitment resulted in 7 networks by October 2019, with participation of 29 general practitioners and 46 non-medical care providers, serving as cooperation partners. Quantitative evaluation of 80 FIDEM cooperation partners revealed high satisfaction ratings with all aspects of the model (M from 7.22 to 7.87 out of possible „10"), with partially higher ratings on the part of primary care physicians. Furthermore, all participants reported a reduction in workload due to participation, which was significantly higher for primary care physicians across all scales (all p-values < 0.001). Conclusion: FIDEM has been implemented in Göttingen beyond a funded pilot project phase. High satisfaction ratings and considerable relief in workload suggest the continuation of FIDEM along with a full evaluation and, provided positive results, its consolidation of and transfer to other regions in Germany. [ABSTRACT FROM AUTHOR]

Objective: A competency-based training of medical students that is adapted to the realities of care is required internationally and is being intended in Germany with the Master Plan for Medical Studies 2020. In order to test these competencies, the German National Institute for state examinations in Medicine, Pharmacy and Psychotherapy (IMPP) has developed a concept for the redesign of the final part of the medical licensing examination in Germany. It focuses on general and interprofessional healthcare in the examination with outpatients. The aim of this work is to assess the feasibility of the new final examination on the basis of pilot examinations in family practices and to derive further steps for the national implementation. Methods: Fourteen medical students in their internship year completed a full examination with patients aged 42 to 84 years. Examiners evaluated the examination performance using standardised evaluation forms. Feasibility was qualitatively assessed in terms of compliance with content and time limits, examination results, patient reflections, and implementation in the practice. Results: Students were able to complete all tasks within the given time frame. Based on the evaluation forms, the examiners assessed the performance of the students. Patients appreciated the structured course of the examination in the familiar location of their family practice. For the nationwide implementation of the examination, 2,500 examination practices are required for about 10,000 examinees per year. Four students can then be examined on two days per year in each practice. Conclusions: Oral-practical examinations with outpatients in general medical practices can be carried out successfully throughout the nation. An implementation of the examinations throughout Germany requires that medical studies are restructured and that this new curriculum is implemented as intended by the Master Plan for Medical Studies 2020. Furthermore, training and remuneration of examiners together with a legal framework for the new examination must be established. [ABSTRACT FROM AUTHOR]

Aim: The Masterplan Medizinstudium 2020 (Masterplan for Medical Studies 2020) focuses on practice-oriented undergraduate training with increased involvement of rural teaching practices. The demand for teaching practices for the final year will increase at all medical faculties in Germany. The project medPJplus at the University Medical Center Göttingen (UMG) presents an approach for successfully acquiring general medical teaching practices in local rural areas. Project outline: The project medPJplus implemented eight measures in cooperation with medical students, interested general practitioners, and regional players in the surrounding districts to attract new teaching practices: we established public relations, accredited practices, organized the didactic training of participating general practitioners, created a digital platform for students that is linked to the nationwide PJ-Portal, and organized information events, workshops, and feedback reports to regional actors. Results: Within one year, a total of 40 new teaching practices with 57 new teachers in the local rural area joined the project in southern Lower Saxony. A three-stage didactic training concept for general practitioners was established at the UMG. A digital platform enhances the visibility of general practitioners and their activities for students. The teaching practices can now be found on the nationwide PJ-Portal. Fourteen students have currently completed their period of the final year in family medicine there. Conclusions: It is possible to acquire rural general medical teaching practices for the final year. This depends on four core elements: addressing and didactic training of interested general practitioners, networking of medical students with teaching physicians and regional actors, digitally presenting teaching practices, and developing solutions for mobility and living space during the final year. [ABSTRACT FROM AUTHOR]

Background: Treatment data from general practitioners (GP) in private practice have great potential for research into diagnostics, therapy and quality of care. The quality of these data influences not only the primary research results, but also the results of later secondary data analyses, but then for other research questions. Completeness and availability of data at the time of data collection are important quality characteristics that depend on medical documentation and technical data export. Using GP treatment data as an example, we examine these quality characteristics and propose a procedure for continuous quality assurance. Methods: A fictitious patient was defined with 22 treatment characteristics of routine general practitioners treatment (e.g. age, gender, medication, diagnoses, risk factors, inability to work, therapies, hospitalization, etc.). Without prior training, the data of the fictitious patient were electronically documented and exported by general practitioners. Comparisons between fictitious patient data, data documented electronically by general practitioners and exported data enabled the assessment of data completeness and availability. Results: Approximately 80% of the tasks could be completed without medical training. Exemplary studies with six practice software systems show that without software adaptation and medical training, only approx. 37% of the treatment data entered is available for secondary research in data export. An increase to 83.4% availability would be possible through software adaptations. If, in addition, medical training were carried out, a data availability of approx. 95% could be achieved. Discussion: Missingor incorrectly mapped data must be reckoned with in the data export prior to secondary research. The completeness and availability of the data must be tested individually for each practice software during the primary data collection and documented in the metadata of the research data. Fictitious patient data with defined characteristics can also be used for continuous quality assurance in quarterly software updates. Conclusions: Independent, continuous quality assurance of the data interfaces, medical training and investigations into the completeness of routine and treatment data can considerably improve the quality of subsequent secondary data research. [ABSTRACT FROM AUTHOR]

Background: Medical data from family doctors are of great importance to health care researchers but seem to be locked in German practices and, thus, are underused in research. The RADAR project (Routine Anonymized Data for Advanced Health Services Research) aims at designing, implementing and piloting a generic research architecture, technical software solutions as well as procedures and workflows to unlock data from family doctor's practices. A long-term medical data repository for research taking legal requirements into account is established. Thereby, RADAR helps closing the gap between the European countries and to contribute data from primary care in Germany.Methods: The RADAR project comprises three phases: (1) analysis phase, (2) design phase, and (3) pilot. First, interdisciplinary workshops were held to list prerequisites and requirements. Second, an architecture diagram with building blocks and functions, and an ordered list of process steps (workflow) for data capture and storage were designed. Third, technical components and workflows were piloted. The pilot was extended by a data integration workflow using patient-reported outcomes (paper-based questionnaires).Results: The analysis phase resulted in listing 17 essential prerequisites and guiding requirements for data management compliant with the General Data Protection Regulation (GDPR). Based on this list existing approaches to fulfil the RADAR tasks were evaluated-for example, re-using BDT interface for data exchange and Trusted Third Party-approach for consent management and record linkage. Consented data sets of 100 patients were successfully exported, separated into person-identifying and medical data, pseudonymised and saved. Record linkage and data integration workflows for patient-reported outcomes in the RADAR research database were successfully piloted for 63 responders.Conclusion: The RADAR project successfully developed a generic architecture together with a technical framework of tools, interfaces, and workflows for a complete infrastructure for practicable and secure processing of patient data from family doctors. All technical components and workflows can be reused for further research projects. Additionally, a Trusted Third Party-approach can be used as core element to implement data privacy protection in such heterogeneous family doctor's settings. Optimisations identified comprise a fully-electronic consent recording using tablet computers, which is part of the project's extension phase. [ABSTRACT FROM AUTHOR]