Purpose This review investigated medical students’ satisfaction level with e-learning during the coronavirus disease 2019 (COVID-19) pandemic and its related factors.
Methods A comprehensive systematic search was performed of international literature databases, including Scopus, PubMed, Web of Science, and Persian databases such as Iranmedex and Scientific Information Database using keywords extracted from Medical Subject Headings such as “Distance learning,” “Distance education,” “Online learning,” “Online education,” and “COVID-19” from the earliest date to July 10, 2022. The quality of the studies included in this review was evaluated using the appraisal tool for cross-sectional studies (AXIS tool).
Results A total of 15,473 medical science students were enrolled in 24 studies. The level of satisfaction with e-learning during the COVID-19 pandemic among medical science students was 51.8%. Factors such as age, gender, clinical year, experience with e-learning before COVID-19, level of study, adaptation content of course materials, interactivity, understanding of the content, active participation of the instructor in the discussion, multimedia use in teaching sessions, adequate time dedicated to the e-learning, stress perception, and convenience had significant relationships with the satisfaction of medical students with e-learning during the COVID-19 pandemic.
Conclusion Therefore, due to the inevitability of online education and e-learning, it is suggested that educational managers and policymakers choose the best online education method for medical students by examining various studies in this field to increase their satisfaction with e-learning.
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This paper aims to help people understand better the lives of people who are mentally ill by describing the general concept of the Interpersonal Caring Theory (ICT) and deducing 10 key components of interpersonal caring. The literature review described the definition of interpersonal caring, and its assumptions and characteristics. Furthermore, the authors’ experience with patient care suggested the critical components of interpersonal caring, which is the compassion-based therapeutic actions/behaviors through the collaborative partnership developed between nurse and client. Essential characteristics of interpersonal caring include the following: person-to-person interaction between nurse and patient, genuine love and concern toward the person, conveying trust and hope, transcending space, time, and culture, holistic approach expressed through a comprehensive and dynamic mode of communication, helping the patient focus on their self-worth, and providing culturally relevant and sensitive nursing. Ten key components of interpersonal caring in ICT include noticing, participating, sharing, active listening, companioning, complimenting, comforting, hoping, forgiving, and accepting. Interpersonal caring results from the blended understanding of the empirical, aesthetic, ethical, and intuitive aspects of a given clinical situation, and a nexus of pre-conditions, content, feelings, and sense of self-worth/self-esteem.
Purpose The current study aimed to identify the prevalence of burnout and related factors in nursing faculty members through a systematic review of the literature.
Methods A comprehensive search of electronic databases, including Scopus, PubMed, Web of Science, Iranmedex, and Scientific Information Database was conducted via keywords extracted from Medical Subject Headings, including burnout and nursing faculty, for studies published from database inception to April 1, 2022. The quality of the included studies in this review was assessed using the appraisal tool for cross-sectional studies.
Results A total of 2,551 nursing faculty members were enrolled in 11 studies. The mean score of burnout in nursing faculty members based on the Maslach Burnout Inventory (MBI) was 59.28 out of 132. The burnout score in this study was presented in 3 MBI subscales: emotional exhaustion, 21.24 (standard deviation [SD]=9.70) out of 54; depersonalization, 5.88 (SD=4.20) out of 30; and personal accomplishment, 32.16 (SD=6.45) out of 48. Several factors had significant relationships with burnout in nursing faculty members, including gender, level of education, hours of work, number of classroom, students taught, full-time work, job pressure, perceived stress, subjective well-being, marital status, job satisfaction, work setting satisfaction, workplace empowerment, collegial support, management style, fulfillment of self-expectation, communication style, humor, and academic position.
Conclusion Overall, the mean burnout scores in nursing faculty members were moderate. Therefore, health policymakers and managers can reduce the likelihood of burnout in nursing faculty members by using psychosocial interventions and support.
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This review aims to define the 4 types of the metaverse and to explain the potential and limitations of its educational applications. The metaverse roadmap categorizes the metaverse into 4 types: augmented reality, lifelogging, mirror world, and virtual reality. An example of the application of augmented reality in medical education would be an augmented reality T-shirt that allows students to examine the inside of the human body as an anatomy lab. Furthermore, a research team in a hospital in Seoul developed a spinal surgery platform that applied augmented reality technology. The potential of the metaverse as a new educational environment is suggested to be as follows: a space for new social communication; a higher degree of freedom to create and share; and the provision of new experiences and high immersion through virtualization. Some of its limitations may be weaker social connections and the possibility of privacy impingement; the commission of various crimes due to the virtual space and anonymity of the metaverse; and maladaptation to the real world for students whose identity has not been established. The metaverse is predicted to change our daily life and economy beyond the realm of games and entertainment. The metaverse has infinite potential as a new social communication space. The following future tasks are suggested for the educational use of the metaverse: first, teachers should carefully analyze how students understand the metaverse; second, teachers should design classes for students to solve problems or perform projects cooperatively and creatively; third, educational metaverse platforms should be developed that prevent misuse of student data.
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Purpose Rehabilitation science programs utilize cognitive and non-cognitive factors to select students who can complete the didactic and clinical portions of the program and pass the licensure exam. Cognitive factors such a prior grade point average and standardized test scores are known to be predictive of academic performance, but the relationship of non-cognitive factors and performance is less clear. The purpose of this systematic review was to explore the relationship of non-cognitive factors to academic and clinical performance in rehabilitation science programs.
Methods A search of 7 databases was conducted using the following eligibility criteria: graduate programs in physical therapy (PT), occupational therapy, speech-language pathology, United States-based programs, measurement of at least 1 non-cognitive factor, measurement of academic and/or clinical performance, and quantitative reporting of results. Articles were screened by title, abstract, and full text, and data were extracted.
Results After the comprehensive screening, 21 articles were included in the review. Seventy-six percent of studies occurred in PT students. Grit, self-efficacy, emotional intelligence, and stress were the most commonly studied factors. Only self-efficacy, emotional intelligence, and personality traits were examined in clinical and academic contexts. The results were mixed for all non-cognitive factors. Higher grit and self-efficacy tended to be associated with better performance, while stress was generally associated with worse outcomes.
Conclusion No single non-cognitive factor was consistently related to clinical or academic performance in rehabilitation science students. There is insufficient evidence currently to recommend the evaluation of a specific non-cognitive factor for admissions decisions.
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As an alternative to traditional teaching, e-learning has enabled continuity of learning for health professions students during the coronavirus disease 2019 (COVID-19) pandemic. This review explored health professions students; perceptions, acceptance, motivation, and engagement with e-learning during the COVID-19 pandemic. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic review was conducted by consulting 5 databases: PubMed, ERIC (Ebsco), Science Direct, Scopus, and Web of Science. The quality of the included studies was assessed using the Medical Education Research Study Quality Instrument. The research protocol was previously registered in the PROSPERO registry (CRD42021237055). From 250 studies identified, 15 were selected with a total of 111,622 students. Mostly positive perceptions were reported in 7 of 12 studies, which mainly focused on technology access, possession of basic computer skills, pedagogical design of online courses, online interactions, and learning flexibility. However, predominantly negative perceptions were identified in 5 of 12 studies, which pointed out constraints related to internet connections, the use of educational platforms, and acquisition of clinical skills. Satisfactory levels of acceptance of distance learning were reported in 3 of 4 studies. For student motivation and engagement, 1 study reported similar or higher motivation than with traditional teaching, and another study indicated that student engagement significantly increased during the COVID-19 pandemic. Health professions students showed a positive response to e-learning regarding perceptions, acceptance, motivation, and engagement. Future research is needed to remediate the lack of studies addressing health professions students’ motivation and engagement during the COVID-19 pandemic.
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Appropriate sample size calculation and power analysis have become major issues in research and publication processes. However, the complexity and difficulty of calculating sample size and power require broad statistical knowledge, there is a shortage of personnel with programming skills, and commercial programs are often too expensive to use in practice. The review article aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation; and how to calculate sample size using G*Power software (latest ver. 3.1.9.7; Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany) with 5 statistical examples. The null and alternative hypothesis, effect size, power, alpha, type I error, and type II error should be described when calculating the sample size or power. G*Power is recommended for sample size and power calculations for various statistical methods (F, t, χ2, Z, and exact tests), because it is easy to use and free. The process of sample estimation consists of establishing research goals and hypotheses, choosing appropriate statistical tests, choosing one of 5 possible power analysis methods, inputting the required variables for analysis, and selecting the “calculate” button. The G*Power software supports sample size and power calculation for various statistical methods (F, t, χ2, z, and exact tests). This software is helpful for researchers to estimate the sample size and to conduct power analysis.
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The coronavirus disease 2019 (COVID-19) pandemic has required educators to adapt the in-person objective structured clinical examination (OSCE) to online settings in order for it to remain a critical component of the multifaceted assessment of a student’s competency. This systematic scoping review aimed to summarize the assessment methods and validity and reliability of the measurement tools used in current online OSCE (hereafter, referred to as teleOSCE) approaches. A comprehensive literature review was undertaken following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. Articles were eligible if they reported any form of performance assessment, in any field of healthcare, delivered in an online format. Two reviewers independently screened the results and analyzed relevant studies. Eleven articles were included in the analysis. Pre-recorded videos were used in 3 studies, while observations by remote examiners through an online platform were used in 7 studies. Acceptability as perceived by students was reported in 2 studies. This systematic scoping review identified several insights garnered from implementing teleOSCEs, the components transferable from telemedicine, and the need for systemic research to establish the ideal teleOSCE framework. TeleOSCEs may be able to improve the accessibility and reproducibility of clinical assessments and equip students with the requisite skills to effectively practice telemedicine in the future.
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Methods A comprehensive and systematic literature search was undertaken in databases, including Cochrane Library, Medline, and Emcare. Articles were eligible if they employed an experimental study design to assess classroom-based cultural competency education for university students across the health science disciplines. Two reviewers independently screened and extracted relevant data pertaining to study and participant characteristics using a charting table. The outcomes included knowledge, attitudes, skills, and perceived benefits.
Results Ten studies were analysed. Diverse approaches to cultural education exist in terms of the mode, frequency, and duration of interventions. For the knowledge outcome, students who experienced cultural education interventions yielded higher post-test scores than their baseline cultural knowledge, but without a significant difference from the scores of students who did not receive interventions. Data relating to the skills domain demonstrated positive effects for students after experiencing interventions. Overall, students were satisfied with their experiences and demonstrated improvements in confidence and attitudes towards culturally competent practice.
Conclusion Across health science disciplines, cultural competency interventions were shown to be effective in enhancing knowledge acquisition, performance of skills, attitudes, and student satisfaction. Future research is necessary to address the significant absence of control arms in the current literature, and to assess long-term effects and patient-related outcomes.
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