Evaluation of epidemiological lectures using peer instruction: focusing on the importance of ConcepTests

Background In clinical research, the ability to properly analyze data is a necessary skill that cannot be learned simply by listening to lectures. Interactive classes, such as Peer Instruction (PI), are required to help medical students understand the concept of epidemiology for future valid research. In PI lectures, ConcepTests are conducted to confirm and deepen students’ understanding of the lecture material. Although it is important to evaluate PI lectures, there have been no studies conducted on PI lectures in epidemiology. This study employed the ConcepTest to evaluate PI lectures in a medical school epidemiology class to measure the efficiency of active learning techniques and the usefulness of ConcepTests in determining effective active learning approaches. Methods The PI lecture was conducted as part of an existing epidemiology class for fourth-year medical students at Okayama University on October 17, 2019. The lecture was conducted as follows. The lecturer taught the fundamental concepts of epidemiology and presented the ConcepTest to students. After answering the test, students were provided with the answer distribution, followed by peer discussion. After the discussion, students answered the ConcepTest again, and a new answer distribution was presented. Subsequently, the lecturer announced the correct answers and delivered a commentary. The ConcepTest comprised five questions, each related to fundamental concepts of epidemiology. Students’ responses to five ConcepTests were collected and analyzed by calculating the proportion of correct answers before and after the discussion, as well as PI efficiency to evaluate the PI lecture. Results Overall,121 students attended the epidemiology lecture. The proportion of correct answers before the discussion ranged from 0.217 to 0.458, and after the peer discussion they ranged from 0.178 to 0.767. The PI efficiency ranged from −0.051 to 0.657, and was higher than the theoretical value in three ConcepTests. The efficiency was about the same as the theoretical value in one ConcepTest, and lower than the theoretical value in another. Conclusion In this study, the efficiency of a PI lecture was determined by calculating the PI efficiency of each ConcepTest. The results showed that the educational efficiency of a ConcepTest in epidemiology lectures can be widely distributed, ranging from efficient to inefficient. Particularly in three ConcepTests, the proportion of correct answers after the discussion and the PI efficiency were higher than the theoretical value. This suggests that PI lectures can be useful in epidemiology education with the efficient use of ConcepTests

The Effect of Peer Instruction Lectures on Learning Attitudes in Epidemiology Education

Research suggests that the fundamental concepts of epidemiology cannot be sufficiently learned in traditional lectures, and interactive learning is necessary. However, few studies have investigated interactive epidemiology education in general, or peer instruction (PI) in particular. This study investigated the effect of PI. Study par-ticipants were fourth-year medical students. The attitude of participants in regard to PI learning was examined in a non-PI and a PI group. The Survey of Attitudes Toward Statistics (SATS) (containing six sub-categories) was conducted as a learning-attitudes index. The pre- and post-lecture scores were compared between the non-PI and PI groups using double robust (DR) estimation. The non-PI and PI groups consisted of 20 and 121 student participants, respectively. In DR estimation, affect exhibited the lowest SATS score changes, at −0.51 (95% confidence interval −0.78 to −0.24; p-value < 0.001), whereas effort exhibited the highest score changes of 0.01 (95% confidence interval −0.30 to 0.32; p-value = 0.952). The epidemiology lecture with PI did not increase the SATS scores. This might be due to issues related to the experimental design. Further research investigating the effects of interactive epidemiology education, it will be necessary to develop tools for assessing the learning of epidemiological concepts and to improve the research design

Effects of indium exposure on respiratory symptoms: a retrospective cohort study in Japanese workers using health checkup data

Background. Indium compounds are known health hazards for lung cancer and interstitial pneumonia. Furthermore, they are related to emphysema, alveolar proteinosis, and cholesterol granuloma. In Japan, laws were revised in 2013 to tighten regulations on indium exposure in workplaces. However, its impact on the health of workers who handle indium has not been evaluated. This study aimed to investigate whether subjective respiratory symptoms in these workers have reduced after the 2013 amendment in the regulations. Methods. The subjects were workers from certain areas of Japan who had undergone health checkups between January 1, 2013, and June 30, 2015. Indium-handling and non-handling workers were categorized into the exposed and less-exposed groups, respectively. Based on the findings of health checkups during this period, the hazard ratio of subjective respiratory symptoms (cough, sputum production, shortness of breath, and palpitation) and its 95% confidence intervals (CIs) were calculated with the less-exposed group as the reference. The Prentice-Williams-Peterson model was used for calculation, and a model that adjusted for coarse analysis and potential confounding factors was adopted. Results. Overall, 2,561 workers (from 22 companies) who underwent 6,033 health checkups were included. The total person-years were 2,562.8 years, and 162 outcome events occurred. The hazard ratios of the exposed group were 1.65 (95% CI [1.14-2.39]: p = 0.008) and 1.61 (95% CI [1.04-2.50]: p = 0.032) in the crude and adjusted models, respectively. Conclusion. Indium-handling workers had a high hazard of the subjective respiratory symptoms than non-indium -handling workers despite stricter regulations on indium exposure in workplaces. This indicates the need for further changes to the legislation to protect the health of workers exposed to harmful substances in workplaces. Further studies including larger diverse cohorts are needed to validate our findings

Effects of two-week e-learning on eHealth literacy: a randomized controlled trial of Japanese Internet users

Background The Internet is widely used as a source of information by people searching for medical or healthcare information. However, information found on the Internet has several drawbacks, and the ability to consume accurate health information on the Internet (eHealth literacy) is increasingly important. This study’s goal was to clarify the extent to which eHealth literacy is improved after e-learning in a randomized controlled trial. Methods Data were collected on 301 Japanese adults through an online survey. Participants were assigned to the intervention (e-learning about eHealth literacy) group or the control group in a 1:1 ratio. The intervention group included 148 participants, and 153 participants were in the control group. The participants provided information at baseline on demographic characteristics, self-rated health, and frequency of Internet searching. The eHealth Literacy Scale (eHEALS), which was the main measure of eHealth literacy, and data on secondary outcomes (the Healthy Eating Literacy Scale and skill for evaluating retrieved search results) were obtained at baseline and at follow-up. The score difference was calculated by subtracting the score at baseline from the score at follow-up. Linear regression analysis and multinomial regression analysis were performed using the differences in score as the dependent variables and the intervention as the explanatory variable. Intention-to-treat analysis was employed. Results The results from participants who responded to all of the questions both times were analyzed (134 in the intervention group and 148 in the control group). eHEALS increased 1.57 points due to the intervention effect (Δ score change = 1.57; 95% CI [0.09–3.05]; p = 0.037). Skills for evaluating retrieved search results improved more in the intervention group than in the control group (relative risk ratio = 2.47; 95% Confidence Interval: 1.33, 4.59; p = 0.004). There were no large differences at baseline between the intervention and control groups in the eHEALS, Healthy Eating Literacy scale, or skill for evaluating retrieved search results. However, at follow-up, the intervention group had improved more than the control group on both the eHEALS and skill for evaluating retrieved search results. Discussion eHealth literacy improved after the e-learning, as evidenced by the change to the eHEALS scores and increased skill for evaluating retrieved search results. There was no significant effect of e-learning, which did not include content on healthy eating, on the Healthy Eating Literacy Scale scores. This indicates that scores did not increase much due to effects other than e-learning, as is sometimes seen with the Hawthorne effect. Although it was statistically significant, the effect size was small. Therefore, future research is necessary to verify the clinical implications. In sum, this study suggests that e-learning is an effective way to improve eHealth literacy

Accuracy of Deep Learning Algorithms for the Diagnosis of Retinopathy of Prematurity by Fundus Images: A Systematic Review and Meta-Analysis

Background. Retinopathy of prematurity (ROP) occurs in preterm infants and may contribute to blindness. Deep learning (DL) models have been used for ophthalmologic diagnoses. We performed a systematic review and meta-analysis of published evidence to summarize and evaluate the diagnostic accuracy of DL algorithms for ROP by fundus images. Methods. We searched PubMed, EMBASE, Web of Science, and Institute of Electrical and Electronics Engineers Xplore Digital Library on June 13, 2021, for studies using a DL algorithm to distinguish individuals with ROP of different grades, which provided accuracy measurements. ,e pooled sensitivity and specificity values and the area under the curve (AUC) of summary receiver operating characteristics curves (SROC) summarized overall test performance. ,e performances in validation and test datasets were assessed together and separately. Subgroup analyses were conducted between the definition and grades of ROP. ,reshold and nonthreshold effects were tested to assess biases and evaluate accuracy factors associated with DL models. Results. Nine studies with fifteen classifiers were included in our meta-analysis. A total of 521,586 objects were applied to DL models. For combined validation and test datasets in each study, the pooled sensitivity and specificity were 0.953 (95% confidence intervals (CI): 0.946–0.959) and 0.975 (0.973–0.977), respectively, and the AUC was 0.984 (0.978–0.989). For the validation dataset and test dataset, the AUC was 0.977 (0.968–0.986) and 0.987 (0.982–0.992), respectively. In the subgroup analysis of ROP vs. normal and differentiation of two ROP grades, the AUC was 0.990 (0.944–0.994) and 0.982 (0.964–0.999), respectively. Conclusions. Our study shows that DL models can play an essential role in detecting and grading ROP with high sensitivity, specificity, and repeatability. ,e application of a DL-based automated system may improve ROP screening and diagnosis in the future

Causal Effect of the Tokyo 2020 Olympic and Paralympic Games on the Number of COVID-19 Cases under COVID-19 Pandemic: An Ecological Study Using the Synthetic Control Method

Previous studies have not assessed the causal effect of the Olympic Games on the spread of pandemics. Using the synthetic control method and the national public city data in Japan recorded from February to September 2021, we estimated the causal effects of the Tokyo 2020 Olympic and Paralympic Games on the number of coronavirus disease 2019 (COVID-19) cases. The difference between the number of COVID-19 cases in Tokyo and a counterfactual "synthetic Tokyo" (created using synthetic control method) after the opening of the Tokyo 2020 Games (23 July 2021) widened gradually and then considerably over time. It was predicted that the Tokyo 2020 Games increased the number of COVID-19 cases in Tokyo by approximately 469.4 per 100,000 population from the opening of the event to 30 September. However, sensitivity analysis of the ratio of the pre- and post-game root mean square prediction errors using regression weights did not suggest robustness. Our results showed that the Tokyo 2020 Games probably increased the number of COVID-19 cases even under preventive regulations; however, the extent of this increase was difficult to estimate clearly due to an overlap with the fifth wave associated with the Delta variant

Shift Work and Diabetes Mellitus among Male Workers in Japan:Does the Intensity of Shift Work Matter?

The purpose of this study was to examine the association between shift work and diabetes mellitus by separating shift workers according to the intensity of their shift work (seasonal shift work and continuous shift work). Between May and October 2009, we collected data from annual health checkups and questionnaires at a manufacturing company in Shizuoka, Japan. Questionnaires were returned by 1,601 workers (response rate:96.2%, men/women＝1,314/287). Diabetes mellitus was defined as hemoglobin A1c≥6.5% and fasting blood sugar≥126mg/dl. After exclusions, which included all the women and clerical workers because they did not work in shifts, we analyzed 475 skilled male workers. After adjusting for age, smoking status, frequency of alcohol consumption, and cohabitation status, odds ratios for diabetes mellitus were 0.98 (95% confidence interval [CI]:0.28-4.81) and 2.10 (95% CI:0.77-5.71) among seasonal shift workers and continuous shift workers, respectively, compared with non-shift workers. In an age-stratified analysis (＜45 years vs.≥45 years), the association between continuous shift work and diabetes mellitus was more pronounced among older participants. Compared with non-shift workers, the risk of diabetes mellitus was increased among continuous shift workers, whereas its effect is limited among seasonal shift workers

Effects of Tanden Breathing on Constipation: A Randomized Controlled Trial

Tanden breathing, an ancient health technique, involves expiratory abdominal pressure breathing is practiced in Japan. In this study we examined the ability of Tanden breathing to relieve constipation. The study was designed as a stratified-block randomized controlled trial enrolling 20 participants. Nineteen were female and one was male, none were elderly. During the 6-week intervention period, the participants performed video-guided Tanden breathing about 10 min once day. We evaluated constipation using the Constipation Assessment Scale (CAS). There were significant differences in the mean CAS score between time points (baseline, 3 weeks after baseline, 6 weeks after baseline), groups (intervention and control), and their interaction (time×group) using repeated-measures analysis of variance. The control group showed no change in the mean CAS score; the mean CAS scores of the intervention group changed from 7.2 at baseline to 3.9 at 3 weeks and 3.1 at 6 weeks after baseline. A regression analysis of the difference in the mean CAS between baseline and 6 weeks later showed that the CAS of the intervention group was 4.3 points lower than that of the control group (95% confidence interval, 2.5-6.1). The results suggested that Tanden breathing is effective in relieving constipation among young women

Treatment interruption in hypertensive patients during the COVID-19 pandemic: An interrupted time series analysis using prescription data in Okayama, Japan

Background: The COVID- 19 pandemic has impacted healthcare behaviors, leading to fewer pediatric visits in Japan and potentially fewer visits by adult patients. However, existing Japanese studies on treatment interruptions have generally relied on questionnaire- based methods. In this study, we assessed the impact of the pandemic on antihypertensive treatment interruption using real- world prescription data. Methods: We conducted an interrupted time series analysis using the National Health Insurance Database in Okayama Prefecture, Japan. Participants included individuals aged 40-69 years with at least one antihypertensive prescription between 2018 and 2020. Treatment interruption was defined as a 3- month or longer gap in prescriptions after medication depletion. We used segmented Poisson regression with models unadjusted and adjusted for seasonality and over- dispersion to assess monthly treatment interruptions before and after Japan's April 2020 emergency. Results: During the study period, 23.0% of 55,431 participants experienced treatment interruptions. Cyclical fluctuations in interruptions were observed. The crude analysis indicated a 1.2 - fold increase in treatment interruptions following the pandemic; however, the adjusted models showed no significant changes. Even among higher- risk groups, such as women, younger adults, and those with shorter prescriptions, no significant alterations were observed. Conclusion: We found no significant impact of the COVID- 19 pandemic on antihypertensive treatment interruption in Okayama Prefecture. The less severe outbreak in the area or increased use of telemedicine and extended prescriptions may have contributed to treatment continuity. Further research is needed using a more stable and comprehensive database, broader regional data, and detailed prescription records to validate and extend our findings