Students or medical professionals: whose knowledge improved after social-medicine training? Results from a quasi-experimental evaluation study

Purpose Rehabilitation professionals are faced with judging and describing the social-medicine status of their patients. Rehabilitation professionals must know the core concepts of acute unfitness for work, psychological capacities, and long-term work capacity. Acquiring and applying this knowledge, requires training. The research question is if and to what extent medical professionals and students’ knowledge changes after social medicine training. Methods This quasi-experimental study was carried out in the real-life context of social medicine training. Psychology students (n = 42), physicians/psychotherapists (i.e. state-licensed health professionals) (n = 44) and medical assistant professionals (n = 29) were trained. Their social medicine knowledge was measured before and after training by a 10-min expert-approved and content valid knowledge questionnaire. Three free-text questions had to be answered on the essential aspects of present and prognostic work ability and psychological capacities. Answers were rated for correctness by two experts. Paired t tests and variance analysis have been calculated for group comparisons. Results All groups improved their social medicine knowledge from the pre- to the post-test. The students started with the lowest level of knowledge in the pre-test. After training, 69% of the physicians/psychotherapists and 56.8% of the medical assistant professionals, but only 7% of the students, obtained maximum scores for naming psychological capacities. Conclusions Social medicine knowledge increased after a training course consisting of eight lessons. The increase was greater for medical assistant professionals and physicians/psychotherapists than for students. Social medicine training must be adjusted to the trainee groups’ knowledge levels.

Multipurpose medical assistant robot (Docto-Bot) based on internet of things

<span>The world's population is growing every day, and so is the number of patients. People's life expectancy is increasing due to technology's welfare, but the problem is that the health sector has always faced a shortage of inadequate doctors. This research main objective was to design and implement a biomedical-based medical assistant robot named "Docto-Bot" to deal with this problem. This research concerns this medical assistant robot's design and development for the disabled and the patients in need. Such a robot's prime utilization is to minimize person-to-person contact and ensure the cleaning, sterilization, and support in hospitals and similar facilities such as quarantine. This prototype robot consists of a medicine reminding and medicine providing system, Automatic hand sanitizer and IoT based physiological monitoring system (body temperature, pulse rate, ECG, Oxygen saturation level). A direct one-to-one server-based communication method and user-end android app maintaining system designed. It also included the controlling part, which control automatically and manually by users. Docto-Bot will play a very significant factor in bio-medical robot applications. Though the achievements described in the paper look fruitful and advanced, shortcomings still exist.</span>

Implementation of a COVID-19 Mass Vaccination Clinic to College Students in Montana

We describe a large-scale collaborative intervention of practice measures and COVID-19 vaccine administration to college students in the priority 1b group, which included Black or Indigenous persons and other persons of color. In February 2021, at this decentralized vaccine distribution site at Montana State University in Bozeman, we administered 806 first doses and 776 second doses by implementing an interprofessional effort with personnel from relevant university units, including facilities management, student health, communications, administration, and academic units (e.g., nursing, medicine, medical assistant program, and engineering). (Am J Public Health. Published online ahead of print September 9, 2021: e1–e4. https://doi.org/10.2105/AJPH.2021.306435 )