IntroductionThe COVID-19 pandemic has caused disruptions in educational institutions across the country, prompting medical schools to adopt online learning systems. This study aims to determine impact on medical education and the medical student’s attitude, practice, mental health after 1 year of the Covid-19 pandemic in Indonesia.MethodsThis study utilized a cross-sectional design. An online questionnaire was distributed digitally to 49 medical schools in Indonesia from February–May 2021. A total of 7,949 medical students participated in this study. Sampling was carried out based on a purposive technique whose inclusion criteria were active college students. This research used questionnaires distributed in online version among 49 medical faculties that belong to The Association of Indonesian Private Medical Faculty. Instruments included demographic database, medical education status, experience with medical tele-education, ownership types of electronic devices, availability of technologies, programs of education methods, career plans, attitudes toward pandemic, and the mental health of respondents. Univariate and bivariate statistical analysis was conducted to determine the association of variables. All statistical analyses using (IBM) SPSS version 22.0.ResultsMost of the respondents were female (69.4%), the mean age was 20.9 ± 2.1 years. More than half of the respondents (58.7%) reported that they have adequate skills in using digital devices. Most of them (74%) agreed that e-learning can be implemented in Indonesia. The infrastructure aspects that require attention are Internet access and the type of supporting devices. The pandemic also has an impact on the sustainability of the education program. It was found that 28.1% were experiencing financial problems, 2.1% postponed their education due to this problems. The delay of the education process was 32.6% and 47.5% delays in the clinical education phase. Around 4% student being sick, self-isolation and taking care sick family. the pandemic was found to affect students’ interests and future career plans (34%). The majority of students (52.2%) are concerned that the pandemic will limit their opportunities to become specialists. Nearly 40% of respondents expressed anxiety symptoms about a variety of issues for several days. About a third of respondents feel sad, depressed, and hopeless for a few days.ConclusionThe infrastructure and competency of its users are required for E-learning to be successful. The majority of medical students believe that e-learning can be adopted in Indonesia and that their capacity to use electronic devices is good. However, access to the internet remains a problem. On the other side, the pandemic has disrupted the education process and mental health, with fears of being infected with SARS-CoV-2, the loss of opportunities to apply for specialty training, and the potential for increased financial difficulties among medical students. Our findings can be used to assess the current educational process in medical schools and maximize e-learning as an alternative means of preparing doctors for the future.
Mild cognitive impairment (MCI) is predicted to be a common cognitive impairment in primary health care. Early detection and appropriate management of MCI can slow the rate of deterioration in cognitive deficits. The current methods for early detection of MCI have not been satisfactory for some doctors in primary health care. Therefore, an easy, fast, accurate and reliable method for screening of MCI in primary health care is needed. This study intends to develop a decision tree clinical algorithm based on a combination of simple neurological physical examination and brief cognitive assessment for distinguishing elderly with MCI from normal elderly in pri-mary health care. This is a diagnostic study, comparative analysis in elderly with normal cognition and those presenting with MCI. We enrolled 212 elderly people aged 60.04-79.92 years old. Multivariate statistical analysis showed that the existence of subjective memory complaints, history of lack of physical exercise, abnormal verbal semantic fluency, and poor one-leg balance were found to be predictors of MCI diagnosis (p ≤ 0.001; p = 0.036; p ≤ 0.001; p = 0.013). The decision trees clinical algorithm, which is a combination of these variables, has a fairly good accuracy in distinguishing elderly with MCI from normal elderly (accuracy = 89.62%; sensitivity = 71.05%; specificity = 100%; positive predictive value = 100%; negative predictive value = 86.08%; negative likelihood ratio = 0.29; and time effectiveness ratio = 3.03). These results suggest that the decision tree clinical algorithm can be used for screening of MCI in the elderly in primary health care.
Background: Currently, medical education program has implemented the student-centred education method by using Problem Based Learning (PBL) paradigm. One of its assessment methods is Student Oral Case Analysis (SOCA). This method determines the rhetorical and linguistic characteristics of students by using specific communication methods. An offline assessment is temporarily selected for the SOCA. Due to the pandemic, strict health protocols for medical education should be followed by any parties. As a result, there is a modification for learning method when offline (face-to-face) activities should be shifted to online activities, includes SOCA assessment. However, to meet the objective of the learning, the modification needs careful planning and implementation. This study aimed to describe about how The Faculty of Medicine, Prof. DR. Hamka Muhammadiyah University (UHAMKA) successfully carried out SOCA assessment for their students through online method.Case Discussion: During the outbreak of Covid-19 The Faculty of Medicine, UHAMKA, has changed SOCA assessment from offline mode to online mode by using Zoom application. Pre-exam preparation includes a review of the questions by the Medical Education Unit team, preparation of human resources (examiners, supervisors), and supporting applications. The assessment is conducted by applying some adjustments between medical learning activities and current health protocols. Subsequently, upon completion of the assessment, an evaluation is conducted using a questionnaire and random interview technique.Conclusion: The Zoom platform’s online method is an effective option for SOCA assessment during the pandemic. It can be concluded that the exam was successfully implemented to the student and it produced relatively similar results with an offline exam. The online SOCA assessment at Faculty of Medicine UHAMKA was well organized without any serious problem.
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