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Background and teaching situation: The SARS-CoV-2 pandemic had a substantial didactic impact on medical teaching. In Erlangen, the lecture “General Practice” was offered asynchronously and digitally in an inverted-classroom concept. Contents were available via a learning platform. The lecture was presented using annotated videos, consolidation materials and control questions. A forum encouraged for discussions and feedback and collected in-depth aspects for a case-based video consultation. The aim of this work is to evaluate and critically examine the digital teaching concept during the SARS-CoV-2 pandemic.
Methodology: Two semester cohorts evaluated the lecture. Overall impression of the lecture, didactic elements, suitability and the desired future lecture format were surveyed quantitatively. Free text answers were evaluated by means of qualitative content synthesis.
Results: In terms of overall impression, the students (N=199) rated the lecture on average as “very good” (M=1.41, SD=.57). Digital methods were perceived as suitable for supporting self-study, and digital usage was rated as unproblematically (M=1.18, SD=.50). Desired future teaching formats were blended learning concepts (79.4%). Organisation, structure and content presentation were highly appreciated. The time for completing the course was perceived critically. The students urged for more practical and consolidating lecture work.
Discussion and implications: The results illustrate high acceptance of digital teaching and underline the demand for future blended learning concepts. It is particularly important to better consider the students’ time investment and practical relevance of digital self-learning mechanisms.
Background: The measures taken to contain the COVID-19 pandemic have led to significant changes in people’s daily lives. This paper examines changes in substance use during the first lockdown (March–July 2020) and investigates mental health burdens in substance users with increased consumption of alcohol, nicotine or tetrahydrocannabinol (THC) in Germany compared to users with unchanged or reduced consumption. Method: In a cross-sectional online survey, 2369 people were asked about their mental health and their substance use during the first lockdown in Germany. Results: Of the participants, 28.5% increased their alcohol use, 28.8% their use of tobacco products, and 20.6% their use of THC-containing products during the pandemic. The groups with increased alcohol, nicotine, and THC use during the first lockdown reported more depressive symptoms and anxiety. Individuals who reported increased consumption of alcohol or nicotine were also more likely to experience loneliness and have suicidal thoughts and were more often stressed due to social distancing. Conclusion: Alcohol, nicotine and THC increased in a subgroup of consumers who reported to have more mental health problems compared to individuals who did not increase their consumption. This increased substance use could, therefore, be understood as a dysfunctional strategy to cope with negative emotions during the lockdown.
Background
The ongoing Covid-19 pandemic not only threatens physical health, but also affects the mental health of people. Yet, health consequences of the pandemic do not affect all members of society equally. We therefore assessed the mental health burden of individuals who are at increased risk of severe illness from Covid-19 compared to individuals who are at low risk of severe illness during the first lockdown (March, 2020) in Germany. Furthermore, we investigated variables mediating the effect of being an individual at increased risk of serve illness on depression.
Methods
Adult German residents (n = 2.369) provided responses to a cross-sectional online survey about risk factors for of severe illness from Covid-19 and various aspects of mental health during the first lockdown in Germany. For data collection, standardized and validated self-report measures were used and for data analysis Mann-Whitney U-tests as well as regression and mediation analyses were performed.
Results
The results clearly show that the mental health burden is higher among individuals at increased risk of severe illness from Covid-19 compared to individuals at low risk of severe illness from Covid-19. Moreover, our findings indicate that the association between Covid-19 risk status and depressive symptoms is mediated by concerns about mental health, anxiety and loneliness in a causal effect chain.
Conclusions
Individuals at increased risk of severe illness from Covid-19 have an increased need for psychosocial support during times of lockdown. Future public health policies should pay special attention to these individuals and support them by targeted offers. More research, however, is needed on possible long-term consequences of social distancing on mental health.
Corona Health
(2021)
Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures.