Disparities in COVID-19 related health literacy, knowledge, and the assessment of the measures taken in Germany: a cross-sectional study.

Aim: Health literacy is necessary to access, understand, assess, and apply information on COVID-19. Studies have shown that health literacy is unequally distributed across social groups. This study aimed to analyze the differences in COVID-19-related health literacy (hereinafter referred to as "COV-19-HL"), knowledge about COVID-19, and the assessment of the measures taken regarding the sociodemographic characteristics as well as the influence of COV-19-HL on knowledge and assessments. Subject and methods: The study used the data obtained from the cross-sectional online survey "Digital divide in relation to health literacy during the COVID-19 pandemic." The data covers 1570 participants aged ≥18 years in Germany between April 29, 2020 and May 8, 2020. To analyze the differences by way of sociodemographic variables, t-tests and analyses of variance were carried out. Multivariate logistic regression models were used to determine the effect of COV-19-HL on knowledge and the assessment of measures. Results: The overall COV-19-HL was high with an average value of 37.4 (with 50 representing the highest COV-19-HL). COV-19-HL and knowledge about COVID-19 were slightly lower in men, migrants, people with low subjective social status, and with low education. Government requirements and recommendations were rated as more effective by women, older people, and individuals with a chronic illness. The chance of better knowledge about COVID-19 and rating measures as effective increased with higher COV-19-HL. Conclusion: The findings of this study show that COV-19-HL and knowledge about the virus are unequally distributed in Germany. Health communication should strengthen pandemic-related health literacy that is tailored to specific target groups.

"ai4health" - Development and Conception of a Learning Programme in Higher and Continuing Education on the Fundamentals, Applications and Perspectives of AI in Healthcare.

AI applications play an increasingly important role in all areas of healthcare. Therefore, a basic understanding of AI technology for health professionals seems necessary. However, to date there is no learning programme in Germany that includes technological basics, applications, and perspectives of AI in healthcare for interdisciplinary health professions. The ai4health project investigates which basic knowledge and competences health professionals need to acquire for an informed handling of AI applications in healthcare, and what the appropriate didactic approach is. Through the qualitative research by interviews and a workshop, six relevant areas of competences were identified. The two most important areas are ELSA and relevant AI applications. Explainability was also highlighted as an important point. The implementation of the topics in a blended learning course for interdisciplinary health professionals and educators in the healthcare sector is now planned.

An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers.

Venous leg ulcers and diabetic foot ulcers are the most common chronic wounds. Their prevalence has been increasing significantly over the last years, consuming scarce care resources. This study aimed to explore the performance of detection and classification algorithms for these types of wounds in images. To this end, algorithms of the YoloV5 family of pre-trained models were applied to 885 images containing at least one of the two wound types. The YoloV5m6 model provided the highest precision (0.942) and a high recall value (0.837). Its mAP_0.5:0.95 was 0.642. While the latter value is comparable to the ones reported in the literature, precision and recall were considerably higher. In conclusion, our results on good wound detection and classification may reveal a path towards (semi-) automated entry of wound information in patient records. To strengthen the trust of clinicians, we are currently incorporating a dashboard where clinicians can check the validity of the predictions against their expertise.

Patient connectivity with healthcare professionals and health insurer using digital health technologies during the COVID-19 pandemic: a German cross-sectional study.

BACKGROUND: Digital health technologies enable patients to make a personal contribution to the improvement of their health by enabling them to manage their health. In order to exploit the potential of digital health technologies, Internet-based networking between patients and health care providers is required. However, this networking and access to digital health technologies are less prevalent in sociodemographically deprived cohorts. The paper explores how the use of digital health technologies, which connect patients with health care providers and health insurers has changed during the COVID-19 pandemic. METHODS: The data from a German-based cross-sectional online study conducted between April 29 and May 8, 2020, were used for this purpose. A total of 1.570 participants were included in the study. Accordingly, the influence of sociodemographic determinants, subjective perceptions, and personal competencies will affect the use of online booking of medical appointments and medications, video consultations with providers, and the data transmission to health insurers via an app. RESULTS: The highest level of education (OR 1.806) and the presence of a chronic illness (OR 1.706) particularly increased the likelihood of using online booking. With regard to data transmission via an app to a health insurance company, the strongest increase in the probability of use was shown by belonging to the highest subjective social status (OR 1.757) and generation Y (OR 2.303). Furthermore, the results show that the higher the subjectively perceived restriction of the subjects' life situation was due to the COVID-19 pandemic, the higher the relative probability of using online booking (OR 1.103) as well as data transmission via an app to a health insurance company (OR 1.113). In addition, higher digital literacy contributes to the use of online booking (OR 1.033) and data transmission via an app to the health insurer (OR 1.034). CONCLUSIONS: Socially determined differences can be identified for the likelihood of using digital technologies in health care, which persist even under restrictive conditions during the COVID-19 pandemic. Thus, the results indicate a digital divide with regard to the technologies investigated in this study.

Perception of a Tracing App During the Covid-19 Pandemic in Germany.

Access to digital technologies depends on the availability of technical infrastructure, but this access is unequally distributed among social groups and newly summarized under the term digital divide. The aim is to analyze the perception of a tracing app to contain Covid-19 in Germany. The results showed that participants with the highest level of formal education rate the app as beneficial and were the most likely to use the app.

Chances and Barriers of Online Problem-Based Learning (ePBL) for Advanced Training in the Healthcare Sector.

An online advanced training for professionals within the healthcare sector was developed including a problem statement to be solved following the steps of problem-based learning (PBL).The findings show that it is feasible to transfer PBL electronically (ePBL) where participants favoured the flexibility and time independency of ePBL. However, the evaluation revealed issues with the learning platform, insufficient technical conditions in the hospitals and a lack of personal exchange. Thus, ePBL offers advantages especially for advanced training in the healthcare sector but requires adaptations and the necessary technical prerequisites.

Digital Skills and Skills to Deal with COVID-19 Information: Sociodemographic Differences in a Cross-Sectional Study.

In the current COVID-19 pandemic, the importance of digital media as a source of information for health-related behavior is impressively demonstrated. Until now there has been a lack of national research on the influence of socioeconomic differences in digital literacy and in the use of COVID-19 information. This study aims to analyze the influence of educational status and subjective social status on digital literacy and on the ability in using COVID-19 information. Data from a cross-sectional online survey were used. The results indicate social differences in digital literacy and in the ability to critically evaluate COVID-19 information.

The relevance of cultural diversity on safety culture: a CIRS data analysis to identify problem areas and competency requirements of professionals in healthcare institutions.

Aim: The society and consequently also the health system have become increasingly culturally diverse which applies to both - patients and professionals. Studies indicate an influence of the ethnicity on the care context. With regard to this, considerably more knowledge is available regarding diversity among patients than among professionals, for example considering the effect of cultural diversity in teams. The impact of cultural diversity on patient safety has barely been investigated which means that potential effects as well as required measures and competencies cannot currently be specified. As part of the project "Gestaltungskompetenz als Innovator für hochzuverlässige Organisationen im Gesundheitssystem" (abbreviation: GIO, "Gestaltungskompetenz as an Innovator for High Reliability Organisations in the Healthcare System") these questions are investigated in the context of a case study. Therefore, a CIRS data analysis was carried out to identify specific problem areas to derive competencies for the safe handling of cultural diversity between employees. On this basis and adjusted to the target group, an interactive learning management system will be developed for the advanced training of professionals. Method: For the topic of cultural diversity, an analysis of the patient safety cases reported in CIRSmedical (Critical Incident Reporting System) was carried out followed by a qualitative summarising content analysis. The systematic search in CIRS was based on previously defined search terms as well as inclusion and exclusion criteria. Results: 45 cases were included in the analysis. The results can be classed into two categories: "(Unsuccessful) communication" and "Unsuccessful adaptation to patient needs". Cultural diversity was not usually named as a primary or explicit cause but usually a combination of several factors was given as the reason for the occurrence of an undesirable event. Conclusion: The analysis of CIRS data identified concrete challenges resulting from the intercultural composition of teams and in the care context. The approaches for improvement should include both, organisational and personnel measures. In case of the latter, it is essential that competency requirements are identified resulting in suited offers for the competence development in the course of initial and professional development training for medical and nursing staff in ethnically diverse teams.