Considering medical students’ perception, concerns and needs for e-exam during COVID-19: a promising approach to improve subject specific e-exams

The COVID-19 pandemic forced a rapid shift to digital strategies including e-exams in medical schools. However, there are significant concerns, predominately from student perspectives, and further data is required to successfully establish e-assessment in the medical curricula. The objective of the study was to examine medical students’ perceptions, concerns, and needs regarding e-assessment to establish a comprehensive e-exam based on these and previous findings and to evaluate its effectiveness in terms of examinee perceptions and further needs. During the 2021 summer term, a cross-sectional study using qualitative and quantitative methods was conducted among all 1077 students at the School of Medicine, Technical University of Munich. They were asked to provide information regarding their characteristics, preferred exam format, e-assessment perception, concerns, and needs in an online questionnaire. Based on these findings, a pilot e-exam including an e-exam preparation for the students were established and subsequently evaluated among 125 pilot e-exam examinees under study consideration via an online-questionnaire. Of the 317 pre-exam participants (73.2% female), 70.3% preferred in-person exams and showed concerns about the technological framework, privacy, and examination requirements. Qualitative analysis showed that these concerns lead to additional exam stress and fear of failure. The 34 (79.4% female) participants who participated in the evaluation survey showed a significantly more positive e-exam perception. The fairness of the platform, the independence from an internet connection, the organization including the e-exam preparation, and the consideration of participant needs were discussed as particularly positive in the open-ended comments. In both surveys, participants requested uniform platforms and processes for all subjects. This study provides evidence for a positive, complementary role of student participation in a successful e-exam implementation. Furthermore, when establishing an e-exam format in the medical curricula, e-exam training, equal accessibility, availability offline, and all-round fairness should be considered

Change of perspective: impact of COVID-19 pandemic on axial spondyloarthritis-related web searches in Germany

Abstract Several conventional cross-sectional studies have investigated the impact of the coronavirus disease (COVID-19) pandemic on patients with axial spondyloarthritis (axSpA) and reached contrary results regarding health and well-being. As analysis of web search data already provided insights into public interest and unmet needs, this study aimed to examine axSpA-related web searches before and during COVID-19 pandemic to gain a different perspective on the impact of COVID-19 on this disease. The Google Ads Keyword Planner was used to generate axSpA-related keywords and their monthly number of searches between June 2018 and November 2021 in Germany. These keywords were qualitatively classified into seven categories. A total of 538 axSpA-related keywords were used for the analysis. The number of axSpA-related searches increased during COVID-19 pandemic (before: n = 1,525,010 vs. during: n = 1,848,300), particularly searches for symptoms, disease outcomes, and causes, while interest in disease management and diagnosis decreased. This study demonstrated a shift in public interest in axSpA during COVID-19 in Germany and highlights an urgent expansion of telemedicine to be prepared for exceptional situations such as a pandemic

Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis

Abstract Background Herpes zoster (HZ) and its complication postherpetic neuralgia (PHN), whose incidence are both expected to increase with an ageing population, have demonstrated high costs on healthcare systems and burden on individual quality of life. Previous studies have shown the possibility of assessing public interest in a disease and factors that influence search behaviour using internet search data. The aim of this study was to analyze internet search data for HZ in Germany to evaluate public interest in the disease and relevant influential temporal and geographic factors that modify search behavior. Methods Google Ads Keyword Planner was used to generate a list of HZ-related keywords including their search volume for Germany as a whole and its sixteen federal states from October 2016 to September 2020. All keywords were qualitatively categorized, and changes over time and correlations with population density, physician density, and vaccination rates were assessed using Welch’s ANOVA, Bonferroni correction for post-hoc analyses, and Pearson’s correlation. Results A total of 1,651 relevant keywords with a search volume of 20,816,210 searches were identified. Overall, national search volume increased each year of the study period with a peak in August 2020. More than half of the total search volume related to general queries (55.1%). The highest average monthly search volumes were observed in the states of Hamburg, Saarland, and Bremen. Average monthly search volume showed strong positive correlations with population density (r = .512, p = .043) and a strong negative correlation with the number of inhabitants per working physician (r = -.689, p = .003). Conclusions The study demonstrated that evaluating internet search data is a viable method for assessing public interest in HZ, thereby identifying areas of unmet need to support targeted public health campaigns

Happiness Behind the Scenes: Associations between Heuristic Happiness and Related Dimensions in Skin Diseases

Positive health approaches, such as happiness, are largely unexplored in medicine, including dermatology. Taking into consideration the various happiness measures, the aims of this cross-sectional study were to assess this concept using a 1-item heuristic happiness question and its related dimensions (Satisfaction with Life, Positive and Negative Affect, Quality of Life, and Compound Psychological Capital) in outpatients with different skin diseases between December 2019 and June 2020, and to examine the link between these dimensions. Overall, 414 dermatological patients were included: 67 with psoriasis, 84 atopic eczema, 10 mastocytosis, 19 nummular eczema, 84 malignant melanoma and 150 keratinocyte carcinoma. Comparing the skin diseases, differences were observed for heuristic happiness, Positive Affect, and some domains of Quality of Life and Compound Psychological Capital. Analysing the relationship between heuristic happiness and other happiness measures, the data revealed moderate to strong correlations (r = 0.30–0.46, p< 0.001) and variations in the understanding of happiness between the skin diseases. Overall, the most important facet of happiness was Hope as a domain of Compound Psychological Capital. This study emphasizes the individual definition of heuristic happiness in patients with skin diseases. A 1-item heuristic approach may be a simple and practical method to assess the complexity and individuality of happiness

A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses

Seibold H, Czerny S, Decke S, et al. A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses. PLoS ONE . 2021;16(6): e0251194.Computational reproducibility is a corner stone for sound and credible research. Especially in complex statistical analyses-such as the analysis of longitudinal data-reproducing results is far from simple, especially if no source code is available. In this work we aimed to reproduce analyses of longitudinal data of 11 articles published in PLOS ONE. Inclusion criteria were the availability of data and author consent. We investigated the types of methods and software used and whether we were able to reproduce the data analysis using open source software. Most articles provided overview tables and simple visualisations. Generalised Estimating Equations (GEEs) were the most popular statistical models among the selected articles. Only one article used open source software and only one published part of the analysis code. Replication was difficult in most cases and required reverse engineering of results or contacting the authors. For three articles we were not able to reproduce the results, for another two only parts of them. For all but two articles we had to contact the authors to be able to reproduce the results. Our main learning is that reproducing papers is difficult if no code is supplied and leads to a high burden for those conducting the reproductions. Open data policies in journals are good, but to truly boost reproducibility we suggest adding open code policies

Impact of asthma in Europe: A comparison of web search data in 21 European countries

Background: Asthma is a chronic inflammatory disorder of the airways and one of the most important non-communicable diseases worldwide. Analyzing crowdsourced data can help understand public interest and unmet needs as well as potential factors influencing search behavior. Objective: The study aimed to investigate asthma-related web search data in Europe to identify possible regional and seasonal variations and to assess public interest. Methods: Google Ads Keyword Planner was used to measure search volume for search terms related to asthma, allergic asthma, and bronchial asthma in 21 European countries between January 2018 and December 2021. The top 10 keywords of each country were categorized qualitatively. Search volume per 100 000 inhabitants was descriptively assessed in terms of regional and seasonal trends. Spearman correlations between search volume and pollen concentration as well as coronavirus disease (COVID-19) cases were investigated. Results: The median search volume per 100 000 inhabitants for asthma and allergic asthma was highest in Northern and Western Europe, while the highest search volume for bronchial asthma was observed in Western and Eastern regions. A seasonal trend was identified for all search terms and in all regions. Correlations were found between search frequency and pollen load and search behavior and COVID-19 cases. Overall, Europeans were most interested in the diseases in general, their treatment options, and symptoms. Conclusion: These results highlighted the need for reliable and region-specific information about the disease and for public campaigns to improve asthma control. The study also emphasizes the importance of using crowdsourced data for a more encompassing overview beyond conventional healthcare data