Need-based care of multi-morbid patients - supporting general practitioners with algorithm-generated recommendations of healthcare services (telemedicine-project ATMoSPHÄRE).

BACKGROUND: The patient-oriented and need-based care of multi-morbid patients with healthcare services and assistive products can be a highly complex task for the general practitioners (GPs). An algorithm-based digital recommendation system (DRS) for healthcare services was developed within the context of the telemedicine research project ATMoSPHÄRE. The plausibility of the DRS was tested and the results used to examine if, and to what degree, the DRS provides useful assistance to GPs. METHODS: The plausibility of the recommendations of the DRS were tested with the Delphi procedure (n = 8) and Interviews (n = 4) in collaboration with the GPs. They proposed services and assistive products they considered appropriate for two multi-morbid patients. Furthermore, GPs had to report whether, and to what degree they deemed the algorithm-generated recommendations appropriate. Significant quantitative differences between the GPs', and the algorithm-generated, recommendations were evaluated with paired-samples-Wilcoxon-test. RESULTS: The first Delphi round revealed a high variability regarding the amount and character of services recommended by the physicians (1 to 10 recommendations, mean = 5.6, sd = 2.8). These professional recommendations converged after consideration of the algorithm-generated recommendations. The number of algorithm-generated recommendations which were judged as appropriate ranged between 7 and 17 of a total of 20 (mean = 11.9, sd = 2.5). The interviews revealed that the additional algorithm-generated recommendations which were judged appropriate contained mainly social care services. CONLUSION: The DRS provides GPs with additional appropriate recommendations for the need-based care of patients, which may not have been previously considered. It can therefore be assessed as a helpful complement in the primary care of multi-morbid patients.

Pertussis vaccination status and vaccine acceptance among medical students: multicenter study in Germany and Hungary.

BACKGROUND: Medical students are at risk of contracting and transmitting infectious diseases such as pertussis. Complete vaccination status is important to protect own, patient and public health. Knowing own vaccination status is elementary for following current vaccination recommendations, including boosters. We aimed to assess pertussis vaccination status and vaccination acceptance among medical students of different nationalities. METHODS: A cross-sectional multicenter health survey at German and Hungarian universities enclosed international medical students in the 1st, 3rd and 5th year of study. Self-reported data from 2655 students regarding pertussis vaccination status were analyzed. Subgroup analysis enclosed data of German (n = 1217), Hungarian (n = 960) and other nationality (n = 478) students ("other"). RESULTS: More Hungarians reported basic immunization (39.0% vs 15.8% Germans vs 24.3% others, p ≤ 0.05). Booster vaccination was reported more by Germans (60.5% vs 43.6% Hungarians vs 36.0% others, p ≤ 0.05). Germans were more likely to report being unvaccinated (3.7% vs 0.9% Hungarians, p ≤ 0.05). More medical students of other nationalities were unaware of their pertussis vaccination status (37.4% vs 20.0% Germans/ 16.5% Hungarians, p ≤ 0.05). 75.2% (n = 1931) rated pertussis vaccinations as absolutely necessary (86.2% Hungarians vs 69.8% Germans/ 66.1% others, p ≤ 0.05). CONCLUSIONS: Positive attitudes towards vaccinations were reported but a large group reported insufficient vaccination status and being not aware of their status, especially among international students. Hungarians possibly have a better vaccination status than reported, based on mandatory vaccinations in childhood. The low awareness of vaccination status has implications for future booster vaccinations. All students should be informed about current recommendations and receive vaccination offers in frames of low-threshold medical services.