Introduction Newly graduated medical doctors in their internships are positioned to strengthen the front line in combating COVID-19. We developed a Massive Open Online Course (MOOC) to equip them with adequate knowledge for COVID-19 management. This paper aims to analyze the MOOC and evaluate participant satisfaction and increase in knowledge after completing the course. Methods An observational study was conducted. Quantitative data were obtained from questionnaires and pre- and post-tests. Responses to open-ended questions of the questionnaires were collected. Analysis using the Quality Reference Framework was also completed. Results The MOOC consisted of fundamental knowledge of COVID-19 (Part A) and further enrichment (Part B), and the content was written in the Indonesian language. A total of 3,424 and 2,462 participants completed the course in August and November 2020, respectively. Most participants agreed that the platform was easy to navigate, the design was interesting, and the content was aligned with their needs. Pre- and post-test scores in Part A’s subjects increased significantly. Factors contributing to and inhibiting usability and areas for improvement were further highlighted. Discussion The use of a specific quality framework facilitated a comprehensive evaluation of the MOOC’s strengths, weaknesses, and areas for future improvements. The participants’ satisfaction and pre- and post-test results showed that the current MOOC holds great potential benefit for continuing education for medical interns joining the frontliners during the pandemic. Future implementation should consider increasing the quality of learning resources, scaling up the platform and its technical supports, and enhancing organizational supports.
Background: The increasing complexity of health problems consequently demands problem solving from various perspectives of health professionals. The interprofessional approach in solving health problems, by working together with patients, their families, and the communities is called Interprofessional Shared Decision-Making (IP-SDM). The capability of various health professionals in IP-SDM becomes one of the abilities to be achieved in Interprofessional Collaborative Practice (IPCP). IP-SDM learning should also be achieved through Interprofessional Education (IPE).Method: This is a literature study aiming to elaborate IP-SDM and its correlation to IPCP and IPE.Results: IP-SDM is a decision making process which involves collaboration between two or more health professionals and also patients aiming at idenfication of best choices while considering patients’ preferences. IP-SDM consists of two core processes: shared decision-making (SDM) between health professionals and patients and collaborative clinical reasoning (CCR) among health professionals. Conclusion: Although SDM and CCR learning has been widely reported, including the potential emphasis in interprofessional education and interprofessional collaborative practice, IP-SDM learning is still limited. For this particular reason, further exploration is needed regarding the development of IP-SDM learning method in IPE, especially in Indonesia context.
To ensure that students continued receiving adequate yet safe clinical exposure during the COVID-19 pandemic, the Faculty of Medicine at Universitas Indonesia (FMUI) created the Module of COVID-19 Self-Isolation Monitoring which aims to equip students with the knowledge and skill to monitor confirmed and close contact cases of COVID-19. Module development, divided into four phases: preparation, orientation, implementation, and evaluation phase, started as soon as the delta wave of COVID-19 cases forced medical students to halt their offline clinical rotations. A quantitative secondary data were obtained from student and patient satisfaction questionnaires and on students’ performance and reflection. We analyzed the distribution of module evaluation, the student’s discussion score during the module, the students’ interest in participating as Covid-19 volunteers before and after the module’s deployment, and the correlation between learning outcomes and satisfaction. A total of 372 patients were monitored by 208 students during the 4-week module. The response rates were above 80%, with the majority agreeing that students found this module well-organized and fulfilled their expectations. There was a significant increase in discussion scores from weeks 1 to 4, a significant difference in the proportion of students interested in COVID-19 volunteering before and after the module completion as well as a significant low correlation between the patient’s monitoring score sheet and the reflection essay towards the patient’s satisfaction. We should still improve tutors’ time management, tutors’ provision of triggering questions for critical thinking skills, and tutors’ feedback for students. The module met patient expectations and is expected to assist tutors in providing feedback and examples of doctor–patient communication, thus accelerating students’ competence in patient interaction. Further evaluation is needed regarding knowledge transfer, the impact on community health, and the faculty development program, especially regarding how tutors fulfill their roles as medical educators.
Introduction: As significant autonomy is given in a Massive Open Online Course (MOOC), online self-regulated learning (SRL) ability is crucial in such courses. We aim to measure the online SRL abilities of early-career medical doctors enrolled in a MOOC. Methods: We performed a cross-sectional study using the Self-Regulated Online Learning Questionnaire-revised version (SOL-Qr). We conducted a three-stage cross-cultural validation of the SOL-Qr, followed by Confirmatory Factor Analysis (CFA). The online SRL ability of 5,432 medical doctors enrolled in a MOOC was measured using the validated SOL-Qr. Results: The CFA of the cross-translated SOL-Qr confirmed its comparability to the original version, with excellent validity & reliability. Participants showed high levels of online SRL during their early careers. Despite high online SRL scores, MOOC completion rate was low. Male participants showed slightly better time management ability than female participants. Participants working in the primary epicentrum for COVID-19 in the country showed lower online SRL scores, while participants who graduated from higher accreditation levels showed better time management ability. Conclusion: The SOL-Qr and its subscales are suitable and valid for measuring the online SRL abilities of medical doctors in a MOOC during their early-career period. Time management ability was associated with previous experience during the medical education period, while other online SRL subscales were mostly associated with workload. However, as the scores did not correlate with the time spent for learning in MOOC, the corresponding learning effort or time spent may be beyond just the commitment to the described MOOC.
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