Modified team-based and blended learning perception: a cohort study among medical students at King Saud University.

BACKGROUND & OBJECTIVE: Medical schools have evolved toward competency-based education and active learner-centered strategies. Medical informatics course was introduced in 2011 in the 3rd year at the College of Medicine (CoM), King Saud University (KSU), to enhance future medical graduates with technological and information competencies. Modified team-based learning and blended learning were emphasized using face-to-face lectures, various e-learning technologies, workshop and seminars. The current study's main objective was to assess students' perceptions towards blended and modified team-based learning at the CoM in KSU. METHODS: A survey was distributed to medical students in three consecutive years: 2017-2019. The survey contains items regarding student perception of various types of blended learning techniques applied in the course. The survey was administered using i-Clicker; an interactive device that enables students to answer survey questions. Descriptive statistics were used to examine the perception of students on these blended learning dimensions investigated. RESULTS: Seven-hundred and one student responded to the questionnaire (male; 69.5%, female 30.5%). Out of which, 59.1% of students found team interactions positively supported discussions and asked questions freely, and 48.1% expressed that working in groups facilitated their learning process. However, 56.0% of students chose face-to-face lectures as the most preferred class activities followed by discussion 23.8%. More than 78% of participants agree that online quizzes are good experience and enjoyable. Grade center where students can check for marks and attendance also received high perception (66.3%). CONCLUSION: Introducing modified team-based and blended-learning are considered challenging, and therefore, investigating their perceptions can provide useful insights into how these methods could be used more effectively. The blended-learning technique is highly essential in teaching medical informatics to overcome challenges faced due to a large number of students and the need for various exposures to reach the course's learning goals. Moreover, it is noticed that students were engaged in face-to-face and online activities, furthermore, modified team-based learning reported facilitating learning and asking questions without embarrassment.

Students' Feedback about Feedback; Have our PBL tutors started the shift towards a dialogic ask-tell-ask approach?

OBJECTIVE: A paradigm shift towards a PBL bidirectional dialogic feedback can enhance learners' performance. This study aimed to investigate undergraduate medical students' perceptions of their PBL feedback. METHODS: We sent e-mail invitations to a web-based survey to year one and two students at College of Medicine, King Saud University. Items included the process, content, and benefits of PBL feedback. RESULTS: Of 209 respondents, 110 (53%) were first and 99 (47%) were second-year students. About 50% agreed that the feedback was regularly provided at scheduled timing and 72% perceived feedback environment as non-threatening. Agreement rates that the tutors asked students first to assess their performance, tell them what went well, what the areas for improvement are and develop with them an improvement plan were 59%, 61%, 61% and 52%, respectively. 61% agreed that tutors judged performance not personality. More year one students significantly agreed that the PBL feedback helped them to improve their knowledge acquisition and non-technical skills. CONCLUSION: Many of our PBL tutors have started the shift to a dialogic bi-directional feedback. We recommend continuing the faculty development efforts, peer-reviewing, and seeking student's feedback within the academic quality satisfaction surveys.

Medical Education Journal Club: Two years' experience at King Saud University.

OBJECTIVE: Medical Education Journal Club is an evidence-based approach to teach and learn critical appraisal techniques on available literature. This study evaluates the implementation and experience of two academic years of Journal club at Medical Education Department, King Saud University. METHODS: We started JC in 2015 at medical education department, KSU. An invitation with a published paper and event poster were sent 2 weeks prior of the session to participants. A traditional one-group posttest design with open item survey were conducted at the end of every session. RESULTS: A total of 12 sessions were conducted in total. The average attendance of 26 (Male: 42/79, 53.1%) and (Female: 31/79, 39.2%) with mix of professors, associate and assistant professors. The MEJC had a positive effect on participant's session expectations (45/79, 92.4%), and had increased their knowledge of the field (73/79, 92.4%). It was observed that the attendance of event depends on the speaker for the event. The sessions have also arisen the need of trainings and other scientific activities. CONCLUSIONS: MEJC is an educational activity that can play important aspect in providing high quality healthcare teachings. We conclude that the success and consistency of MEJC depends on speaker. It commensurate the audience interest to attend and learn. While proper advertisement of event, and regular attendance also plays a vital role in this regard.

Association of Online Health Information-Seeking Behavior and Self-Care Activities Among Type 2 Diabetic Patients in Saudi Arabia.

BACKGROUND: Health information obtained from the Internet has an impact on patient health care outcomes. There is a growing concern over the quality of online health information sources used by diabetic patients because little is known about their health information-seeking behavior and the impact this behavior has on their diabetes-related self-care, in particular in the Middle East setting. OBJECTIVE: The aim of this study was to determine the online health-related information-seeking behavior among adult type 2 diabetic patients in the Middle East and the impact of their online health-related information-seeking behavior on their self-care activities. METHODS: A cross-sectional survey was conducted on 344 patients with type 2 diabetes attending inpatient and outpatient primary health care clinics at 2 teaching hospitals in Riyadh, Saudi Arabia. The main outcome measures included the ability of patients to access the Internet, their ability to use the Internet to search for health-related information, and their responses to Internet searches in relation to their self-care activities. Further analysis of differences based on age, gender, sociodemographic, and diabetes-related self-care activities among online health-related information seekers and nononline health-related information seekers was conducted. RESULTS: Among the 344 patients, 74.1% (255/344) were male with a mean age of 53.5 (SD 13.8) years. Only 39.0% (134/344) were Internet users; 71.6% (96/134) of them used the Internet for seeking health-related information. Most participants reported that their primary source of health-related information was their physician (216/344, 62.8%) followed by television (155/344, 45.1%), family (113/344, 32.8%), newspapers (100/344, 29.1%), and the Internet (96/344, 27.9%). Primary topics participants searched for were therapeutic diet for diabetes (55/96, 57%) and symptoms of diabetes (52/96, 54%) followed by diabetes treatment (50/96, 52%). Long history of diabetes, familial history of the disease, unemployment, and not seeking diabetes education were the most common barriers for online health-related information-seeking behavior. Younger age, female, marital status, higher education, higher income, and longer duration of Internet usage were associated with more online health-related information-seeking behaviors. Most (89/96, 93%) online health-related information seekers reported positive change in their behaviors after seeking online health information. Overall odds ratio (OR 1.56, 95% CI 0.63-3.28) for all self-care responses demonstrated that there was no statistically significant difference between those seeking health-related information online and non-health-related information seekers. However, health-related information seekers were better in testing their blood glucose regularly, taking proper action for hyperglycemia, and adopting nonpharmacological management. CONCLUSIONS: Physicians and television are still the primary sources of health-related information for adult diabetic patients in Saudi Arabia whether they seek health-related information online or not. This study demonstrates that participants seeking online health-related information are more conscious about their diabetes self-care compared to non-health-related information seekers in some aspects more than the others.

Social media analytics and their applications to evaluate an activity in online health interventions using CRITIC and TOPSIS techniques.

The usage of social media is increasing by leaps and bounds in our day-to-day lives. It affects daily routines and brings a lot of change in different departments like health and education systems during the COVID-19 pandemic. Healthcare research and practice have been significantly impacted by the astounding growth of social media. Social media are changing health information management in several ways, from offering appropriate ways to enhance healthcare professional contact and share health-related knowledge and experience to facilitating the development of innovative medical research and wisdom. Social media analytics (SMAs) are efficient and effective interaction instruments that can be useful for both patients and clinicians in health interventions. Moreover, a significant portion of those involved in clinical practices (such as clinicians, professional colleges, and departments of health) are unaware of the importance of social media, its potential applications in their daily lives, as well as the possible consequences and how these will be handled. In the presented study, we proposed MCDM-based approaches known as "Criteria Importance Through Inter Correlation" (CRITIC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in order to identify the effective alternative among several options and make a better decision. After extracting features from the literature review, we choose six significant and relevant features and assign weights to them using CRITIC techniques while utilizing the TOPSIS technique to rank the alternatives based on their performance values. After the implementation of both methods and evaluation procedure, it is determined that the alternative with the highest score is placed at the top and called the "best alternative," while the alternative with the lowest score is placed at the bottom and called the worst alternative. Finally, we suggest a variety of research initiatives and new research areas where the aforementioned procedures become extremely useful in evaluating SMAs and their uses in online health interventions.

Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review.

During the early phase of the COVID-19 pandemic, reverse transcriptase-polymerase chain reaction (RT-PCR) testing faced limitations, prompting the exploration of machine learning (ML) alternatives for diagnosis and prognosis. Providing a comprehensive appraisal of such decision support systems and their use in COVID-19 management can aid the medical community in making informed decisions during the risk assessment of their patients, especially in low-resource settings. Therefore, the objective of this study was to systematically review the studies that predicted the diagnosis of COVID-19 or the severity of the disease using ML. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), we conducted a literature search of MEDLINE (OVID), Scopus, EMBASE, and IEEE Xplore from January 1 to June 31, 2020. The outcomes were COVID-19 diagnosis or prognostic measures such as death, need for mechanical ventilation, admission, and acute respiratory distress syndrome. We included peer-reviewed observational studies, clinical trials, research letters, case series, and reports. We extracted data about the study's country, setting, sample size, data source, dataset, diagnostic or prognostic outcomes, prediction measures, type of ML model, and measures of diagnostic accuracy. Bias was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). This study was registered in the International Prospective Register of Systematic Reviews (PROSPERO), with the number CRD42020197109. The final records included for data extraction were 66. Forty-three (64%) studies used secondary data. The majority of studies were from Chinese authors (30%). Most of the literature (79%) relied on chest imaging for prediction, while the remainder used various laboratory indicators, including hematological, biochemical, and immunological markers. Thirteen studies explored predicting COVID-19 severity, while the rest predicted diagnosis. Seventy percent of the articles used deep learning models, while 30% used traditional ML algorithms. Most studies reported high sensitivity, specificity, and accuracy for the ML models (exceeding 90%). The overall concern about the risk of bias was "unclear" in 56% of the studies. This was mainly due to concerns about selection bias. ML may help identify COVID-19 patients in the early phase of the pandemic, particularly in the context of chest imaging. Although these studies reflect that these ML models exhibit high accuracy, the novelty of these models and the biases in dataset selection make using them as a replacement for the clinicians' cognitive decision-making questionable. Continued research is needed to enhance the robustness and reliability of ML systems in COVID-19 diagnosis and prognosis.

Overview of Early ChatGPT's Presence in Medical Literature: Insights From a Hybrid Literature Review by ChatGPT and Human Experts.

ChatGPT, an artificial intelligence chatbot, has rapidly gained prominence in various domains, including medical education and healthcare literature. This hybrid narrative review, conducted collaboratively by human authors and ChatGPT, aims to summarize and synthesize the current knowledge of ChatGPT in the indexed medical literature during its initial four months. A search strategy was employed in PubMed and EuropePMC databases, yielding 65 and 110 papers, respectively. These papers focused on ChatGPT's impact on medical education, scientific research, medical writing, ethical considerations, diagnostic decision-making, automation potential, and criticisms. The findings indicate a growing body of literature on ChatGPT's applications and implications in healthcare, highlighting the need for further research to assess its effectiveness and ethical concerns.

Building a cloud-based data sharing model for the Saudi national registry for implantable medical devices: Results of a readiness assessment.

BACKGROUND: Implantable medical device registries are used as a medium to conduct post-marketing surveillance. Little information is available on the development and implementation of implantable biomedical device registries in general and specifically in Saudi Arabia and the Middle East. OBJECTIVES: This study presents the experiences of building an implantable medical device registry in the Kingdom of Saudi Arabia. The work specifically addresses the early experiences of the Saudi Food and Drug Authority in the planning and development of a data sharing model for the implementation of a medical device registry at different hospital sites within the country. METHODS: A two-year case study in which 60 health professionals from 5 hospitals in Saudi Arabia participated in a readiness assessment survey. The readiness assessment examined system-level capacity, hospital workflow and operations, clinical staff-level engagement, and technological assessment as they relate to the implementation of the Implantable Medical Device Registry (IMDR). Both subjective and objective data were collected as part of the readiness assessment survey at each hospital site. Data was collected from participants either individually or as part of a group at each hospital site. Using Microsoft Excel, Microsoft Word, flip charts, and back-and-forth discussion, the data was descriptively summarized and synthesized to provide an overview of hospital readiness for IMDR implementation. RESULTS: Results show that there are large differences among Saudi hospitals in terms of their readiness for IMDR implementation due to a variety of factors relating to differences in hospital-wide organizational systems, clinical practice, technological infrastructure, and data sharing capabilities. Each of the hospitals surveyed in this study had differences in how clinical biomedical implantation policies and procedures were utilized. Manual entry into the cloud-based IMDR was recommended as the most optimal data sharing model that would mitigate the differences between hospital readiness for IMDR implementation. CONCLUSION: Registries play a major role in monitoring the effectiveness of implantable biomedical devices. National standardized policies, enforced regulations, and information technology infrastructure are needed to achieve this goal. Furthermore, due to differences in hospital readiness, building a cloud-based registry system through manual data entry into the IMDR was found to be the most appropriate data sharing model that can be implemented at the national level.

Mobile Phone Use Among Medical Residents: A Cross-Sectional Multicenter Survey in Saudi Arabia.

BACKGROUND: Mobile phones have great potential for medical education, as they allow health care providers and students to access resources efficiently at the precise time at the point-of-care to help in informed decision making. OBJECTIVE: The objective of the study was to evaluate the prevalence of mobile phone usage among medical residents and to explore their attitudes, perceptions, and the challenges they experience when using mobile phones in academic and clinical practice. METHODS: A cross-sectional survey was conducted on all 133 residents in 17 different specialties across two large academic hospitals in Riyadh, Saudi Arabia. The Web-based validated questionnaire measured mobile phone platform preferences, and their uses in general and medical practice. The perception of confidentiality and safety impact of using mobile phones for communication and accessing patient's data was also explored, alongside challenges of use and how residents learn to use their mobile phone. RESULTS: With a response rate of 101/133 (75.9%) and mean age of 27.8 (SD 3.0) years, we found that 100/101 (99.0%) of participants were mobile phone users with mean duration of use of 5.12 (SD 2.4) years, and a range from 1 to 12 years. There was no significant difference in use between male and female respondents. A negative linear correlation was found between age and use duration (P=.004). The most common operating system used by participants was the iOS platform (55/101, 54.5%), with English the most commonly used language to operate residents' mobile phones (96/100, 96.0%) despite their native language being Arabic. For communication outside medical practice, chatting applications such as WhatsApp matched phone calls as most commonly used tools (each 88/101, 87.1%). These were also the primary tools for medical communication, but used at a lower rate (each 65/101, 64.4%). In medical practice, drug (83/101, 82.2%) and medical (80/101, 79.2%) references and medical calculation applications (61/101, 60.4%) were the most commonly used. Short battery life (48/92, 52%) was the most common technical difficulty, and distraction at least on a weekly basis (54/92, 58%) was the most likely side effect of using a mobile phone in medical practice. Practically, all participants agreed with the idea of integrating medical staff mobile phones with the hospital information system. Most residents described themselves as self-learners, while half learned from peers, and a quarter learned from the Internet. Only 7/101 (6.9%) had received formal training on the medical use of mobile phones. Over half of residents thought it was safe to discuss patients over their personal, nonencrypted email. CONCLUSIONS: Mobile phone use among medical residents has become almost universal in academic and clinical settings. Thus, academic and health care institutions should support proper utilization of these devices in medical training and point-of-care decision making, while continuing to protect patient confidentiality.