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General practices are rooted in the local community and considered to be particularly well-positioned for engaging in preventive and health-promoting activities. The overall aim of the scoping review is to identify priorities and gaps in research published in the past 20 years on preventive and health-promoting activities provided by general practitioners or their teams in general practices in Germany. MEDLINE and Embase databases were systematically searched in November 2020. Papers were selected in dual-review mode and extracted in single-review mode. Data analysis was finished by May 2021. In total, 530 papers were included in the synthesis. Little research has been carried out into collaboration opportunities both within the general practice team and in communities as a whole, with specialists (18%), hospitals (9%), and health insurance companies (6%) being the most frequent cooperation partners of GPs. 15%–20% of papers each dealt with ‘early detection’, ‘information provision’ and ‘cardiovascular prevention’. Secondary (53%) and tertiary prevention (43%) was more often the subject of research than primary (39%) and quaternary prevention (15%). Healthy subjects (26%) were less often studied than people with pre-existing conditions (42%) and risk factors (48%). Little information was available on preventive activities in terms of gender, young people, migration background, housing conditions or educational background. Personal counselling (15%) was the most frequently described approach to health promotion in general practices, along with printed information materials (10%). This scoping review provides information on which to base targeted interventions and future research that can contribute towards transforming general practices into promoters of health within the community.
Polypharmacy is associated with a risk of negative health outcomes. Potentially inappropriate medications, interactions resulting from contradicting medical guidelines, and inappropriate monitoring, all increase the risk. This process evaluation (PE) of the AdAM study investigates implementation and use of a computerized decision-support system (CDSS). The CDSS analyzes medication appropriateness by including claims data, and hence provides general practitioners (GPs) with full access to patients’ medical treatments. We based our PE on pseudonymized logbook entries into the CDSS and used the four dimensions of the Medical Research Council PE framework. Reach, which examines the extent to which the intended study population was included, and Dose, Fidelity, and Tailoring, which examine how the software was actually used by GPs. The PE was explorative and descriptive. Study participants were representative of the target population, except for patients receiving a high level of nursing care, as they were treated less frequently. GPs identified and corrected inappropriate prescriptions flagged by the CDSS. The frequency and intensity of interventions documented in the form of logbook entries lagged behind expectations, raising questions about implementation barriers to the intervention and the limitations of the PE. Impossibility to connect the CDSS to GPs’ electronic medical records (EMR) of GPs due to technical conditions in the German healthcare system may have hindered the implementation of the intervention. Data logged in the CDSS may underestimate medication changes in patients, as documentation was voluntary and already included in EMR.
Background: Cumulative anticholinergic exposure, also known as anticholinergic burden, is associated with a variety of adverse outcomes. However, studies show that anticholinergic effects tend to be underestimated by prescribers, and anticholinergics are the most frequently prescribed potentially inappropriate medication in older patients. The grading systems and drugs included in existing scales to quantify anticholinergic burden differ considerably and do not adequately account for patients’ susceptibility to medications. Furthermore, their ability to link anticholinergic burden with adverse outcomes such as falls is unclear. This study aims to develop a prognostic model that predicts falls in older general practice patients, to assess the performance of several anticholinergic burden scales, and to quantify the added predictive value of anticholinergic symptoms in this context.
Methods: Data from two cluster-randomized controlled trials investigating medication optimization in older general practice patients in Germany will be used. One trial (RIME, n = 1,197) will be used for the model development and the other trial (PRIMUM, n = 502) will be used to externally validate the model. A priori, candidate predictors will be selected based on a literature search, predictor availability, and clinical reasoning. Candidate predictors will include socio-demographics (e.g. age, sex), morbidity (e.g. single conditions), medication (e.g. polypharmacy, anticholinergic burden as defined by scales), and well-being (e.g. quality of life, physical function). A prognostic model including sociodemographic and lifestyle-related factors, as well as variables on morbidity, medication, health status, and well-being, will be developed, whereby the prognostic value of extending the model to include additional patient-reported symptoms will be also assessed. Logistic regression will be used for the binary outcome, which will be defined as “no falls” vs. “≥1 fall” within six months of baseline, as reported in patient interviews. Discussion: As the ability of different anticholinergic burden scales to predict falls in older patients is unclear, this study may provide insights into their relative importance as well as into the overall contribution of anticholinergic symptoms and other patient characteristics. The results may support general practitioners in their clinical decision-making and in prescribing fewer medications with anticholinergic properties.
Aim: Participation of medical students in the conceptual development of targeted and attractive teaching content for rural areas.
Method: A questionnaire was developed to gather information on students' views of their current medical studies, career interests, and what requirements should be met by an optional rural health program in general practice. By means of an online survey in summer 2015, all medical students from the fourth preclinical semester onwards (n=2,150) at Goethe University Frankfurt were surveyed on one occasion. Statistical analysis was mainly descriptive. Personal attitudes towards a career as a family practitioner were examined for statistical significance. Further information was gathered on whether a measurable correlation exists between personal background and desired work location.
Results: Of the 2,150 students that were contacted, 617 participated in the survey (response rate=28.7%). The results covered a wide range of ideas and recommendations and were representative both of medical students with a positive attitude toward general practice, as well as those that were rather critical of teaching in general practice. The students expected the planned health program to be of strong practical relevance and to acquaint them with the administrative and economic aspects of running a practice.
Conclusions: By including the target group in the development process, it was possible to tailor the health program to meet the needs of future participants more precisely. Student participation can also be expected to result in greater acceptance of the program. The results on teaching content may also provide other medical faculties with orientation when developing comparable programs.