Identifying the challenges of online education from the perspective of University of Medical Sciences Students in the COVID-19 pandemic: a Q-methodology-based study | BMC Medical Education

Identifying the challenges of online education from the perspective of University of Medical Sciences Students in the COVID-19 pandemic: a Q-methodology-based study | BMC Medical Education

This cross-sectional review was performed employing the Q methodology in the course of the pursuing 6 techniques using Barry and Proops system [19].

Phase 1 and 2: defining the concourse

At this stage, a concourse area was shaped with the identification of the subject or thought of the review. The offered views on the issue raised for the concourse can be formed from a review of texts and industry experts in this discipline [19].

In this research, the matter and strategy for the concourse were the difficulties of on the net education and learning in the course of the COVID-19 pandemic. The concourse bundled a collection of varied materials related to the exploration matter that was mentioned between learners. The learners (P-established) who also experienced contributed earlier to the growth of the initial established of statements. 30-1 learners participated in semi-structured interviews, and we experimented with to discover their subjectivity about the investigation subject applying the Q method [20].

In this examine, the concourse (sample of people today) bundled pupils of the University of Medical Sciences (paramedical pupils) who had enough details about on-line instruction during the COVID-19 pandemic.

Phase 3: screening and choice of statements (Q-sample)

In the course of the semi-structured interviews with 31 learners, 70 statements have been extracted about the perceived difficulties of on the net schooling. The Q merchandise ended up selected extremely carefully so that merchandise did not overlap, and at the very same time, no standpoint must be missing. Hence, the choice method requires the most time and hard work of all the techniques of the Q methodology. Thus, analysis team removed equivalent unrelated, and ambiguous statements from the Q set. Last but not least, 50 statements were being selected.

Stage 4: selected P-established

Learners who participated in the concourse (interviews) ended up chosen as a sample of folks to take part in sorting in the Q review (P-set). In the current examine, students had been chosen by purposive sampling to include students who had an instructional, experienced, experimental connection or former awareness about the topic of review. This collection of samples built the contributors with additional diverse mentalities enter the study. It is proposed that in Q research, the selection of members to sort statements ought to be less than the variety of statements all around the research matter [21]. In the existing examine, the number of participants who ranked the problems of on the web education and learning plans was 31 (Table 1).

Desk 1 The Q-established statements and variable arrays in the study of issues on the net education and learning among pupils

Stage 5: Q-sort

At this stage, the ordinary distribution table in the form of a Likert scale from − 5 to + 5 was made offline. Guidelines on distributing the expressions on the typical distribution table have been supplied. In the very first stage, the function of the review is the amount of statements selected by means of the job interview. In the next phase, put the statements in three columns: “I agree”, “I have no opinion,” and “I disagree. In the 3rd stage, the statements (obligatory) are distributed in the standard Likert distribution diagram (− 5 to 5+), describing the motive for choosing the two finishes of the Likert scale from their issue of view and finally moving into the demographic facts. Therefore, in Q, the sorting process is subjective [19]. In other words and phrases, sorting merchandise in the regular distribution allow for just about every participant to current their internal point of view by way of sorting.

Phase 6: evaluation and interpretation of things

Students’ data obtained from Q sorting ended up entered into PQ-Method computer software edition 2.35. The approach of assessment and interpretation was performed in 3 phases: (a) identification of aspects, (b) conversion of elements into element arrays (c) interpretation of factors applying issue arrays.

  1. A)

    Factor Identification

The extraction of variables in PQ-Technique software was completed by way of the pursuing sequential ways: (a) principal ingredient analysis, (b) identification of latent variables, (c) varimax rotation and evaluation of loading factors for specific values higher than 1.00, d) estimation of the percentage of variance discussed by the determined things and (e) differentiation of interpretable elements with at minimum two correlated Q forms [22].

  1. B)

    Convert component to element arrays

The correlation among each and every Q sort and a person identified variable indicates the degree of conversation amongst the Q kinds and the discovered variables [19, 23]. The handbook flagging in PQ-Approach software was applied for this examine. The correlation coefficients of at minimum .364 have been thought of as the slice-off stage (the absolute value of the variable load is increased than ((frac2.58sqrtN)). That aspect load was 99{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} significant, respectively, and the worth of N was equivalent to the selection of Q statements (N = 50). Sorted for recognized aspects [24]. Specs specified on a aspect are applied to build a element array for that issue. The component array signifies the sorting of that element (position of look at) applying z-scores. The issue array for every single variable decided the diploma to which each and every expression was in the spectrum, so a a lot more correct interpretation of each individual issue (subjectivity) was attained according to the placement of every expression. (P-value< 0.05 vs. 0.01) is also determined from the Z score to distinguish expressions [25].

  1. III)

    Factor interpretation using factor arrays

Distinct Q expressions were identified, and factors were interpreted textually. The defining expressions for a factor were those that had a rating value of “+ 5”, “+ 4”, “4-,” 5- “in factor arrays that had different scores (P < 0.05) in a given factor Compared to their scores on other factors, the post-P-set interview was conducted at the end of Q sorting to confirm the diagnosis and interpretation of item subgroups among the identified factors.

COVID-19 Deaths by Race and Ethnicity

COVID-19 Deaths by Race and Ethnicity

In Kansas, in the previous two and a half a long time of the pandemic, quite a few attempts have been designed throughout the condition to fund and much better comprehend how to address vaccine fairness and vaccine hesitancy. Beneath are only a handful of examples of those endeavours.

  • In November 2020, the Kansas Leadership Heart (KLC) launched “Kansas Beats the Virus” in partnership with the State of Kansas, which was an effort and hard work to mobilize Kansas to produce local methods that can guide to conduct-transforming motion. In 2020, the energy led to 851 meetings and the growth of 827 action strategies. In 2021, KLC partnered in a next section with the Kansas Division of Health and Environment (KDHE) to give tools and facilitators for communities to build local approaches to boost tests and vaccination fees resulting in 1,010 exclusive action projects that achieved an estimated 1.35 million Kansans across the condition. 1 of the results was “most of the action projects had been designed by and directed toward racial and ethnic minority populations in Kansas.”
  • In January 2021, two medical pros, with local community associates, in Backyard Metropolis, created videos in quite a few languages – English, Arabic, Tigrinya, Karen, Vietnamese, Rohingya, Quiche, Pleutdeutsch, Burmese, Spanish, and Somali – to tackle frequent worries and queries all around the COVID-19 vaccines.
  • On March 10, 2021, Governor Kelly introduced Dr. Ximena Garcia as her exclusive advisor on COVID-19 vaccination fairness. Dr. Garcia led the COVID-19 Vaccine Fairness Taskforce.
  • In May well 2021, several counties – which include Wyandotte and Shawnee – began likely door-to-door in neighborhoods with significant concentrations of Hispanic, Any Race, and Black populations to signal inhabitants up for vaccines.
  • In June 2021, the CDC awarded $31.9 million, which includes $11.6 million focused to rural attempts, to KDHE to handle health and fitness and COVID-19 vaccine fairness between populations at higher-hazard and underserved, including racial and ethnic minority populations and rural communities.
  • In September 2021, KDHE commissioned NORC at the University of Chicago and the JUNTOS Center for Advancing Latino Well being at the University of Kansas Medical Heart Study Institute to perform public opinion exploration on the sentiments of unvaccinated Kansans similar to COVID-19 vaccines and tests. The conclusions have been revealed in November 2021.
  • On September 27, 2021, Governor Kelly introduced a new grant method to “Raise the Reach,” which aimed to arrive at socially vulnerable populations and all those encountering reduced vaccination charges, which include both of those racial and ethnic minority populations as perfectly as rural communities.

A number of things could lead to the enhance in the proportion of age-modified COVID-19 deaths among the non-Hispanic White populace team. For instance, vaccination charges amid non-Hispanic White individuals may well have stagnated in the third year of the pandemic. In Kansas, KDHE details on COVID-19 vaccination demographics also exhibit the hole has narrowed when when compared to Black Kansans or removed when as opposed to Hispanic Kansans. There also are lower vaccination charges in some pieces of the point out. Another issue could be political ideology and its effect on vaccine uptake.

The bottom line: Knowledge from the CDC display a bigger share of age-altered COVID-19 deaths amid minority racial and ethnic groups in Kansas. Regionally – in Kansas, Missouri, Nebraska and Iowa – the craze is switching and general deaths from COVID-19 have dropped in 2022. The share of age-adjusted deaths also has diminished for Hispanic, Any Race, people today during the three-12 months time period from 2020 to 2022. With a focus on overall health equity, knowing these types of trends and evidence-centered attempts to detect successes, challenges and classes learned could shape foreseeable future actions.

Examine back again for a lot more info as we proceed to keep an eye on the ongoing affect of COVID-19.

Postgraduate Online Medical Education during the COVID-19

Postgraduate Online Medical Education during the COVID-19

Introduction

Online learning (eLearning) was gradually incorporated into medical education over the past 20 years, which has paralleled the increased use of eLearning across all workforce sectors.1 A review published in 2006 concluded that eLearning would be “one of the most important developments in the delivery of postgraduate medical education.”1 The authors of that review article, and many others who shared similar views in the early internet era, could not have known how that prediction would be tested. However, as the world came to be immersed in the SARS-CoV-2 (COVID-19) pandemic in 2020, eLearning surely became important in the delivery of postgraduate medical education.

The COVID-19 pandemic caused a massive change worldwide; affecting all areas of workforce including education. This state of emergency has led to many modifications within the healthcare system, such as cancelling elective surgical procedures, reducing the volume of acute-care surgeries, closing all outpatient clinics, limiting the presence of trainees on service and calling-off departmental educational activities.2–6 This resulted in significant interruptions of clinical rotations. In addition, traditional in-person academic activities such as face-to-face teaching and simulation labs were halted; examinations, courses and conferences were postponed on an international level.7,8 Almost overnight, online learning transitioned from its status as a developing option to becoming mandatory if education were to continue.

The rapid transition from traditional face-to-face to eLearning has transformed the way medical education was delivered and posed many challenges to trainers and trainees involved.4,9 Synchronous and Asynchronous eLearning modalities have been utilized by several institutions during this period. Numerous platforms were utilized for delivering academic content; the most frequently used were ZOOM and Microsoft-Teams.10,11 Innovative teaching modalities took place, including the “flipped-classroom” method, where learners were provided with didactic materials and pre-recorded videos prior to the educational session.11–13 Other strategies were implemented to accommodate for teaching clinical skills and ensuring the continuity of clinical education, achieved through video-recorded surgical procedures as well as providing telehealth patient consultations.11 With regard to evaluation, the most commonly reported assessment method during this period was in the form of multiple-choice questions; other studies reported the conversion of the standard Objective Structured Clinical Examinations (OSCE) to an online version.11,14

Numerous obstacles and challenges have been reported as a result of this massive transition. Trainers, teachers, and educators were required to rapidly adapt to digital technologies; trainees encountered difficulties with poor bandwidth connectivity; accessibility and time management issues were evident, as well as communication challenges due to the lack of non-verbal language.11,15

The resulting global experience with online medical education is being shared primarily as information gathered from user surveys. Although quantitative data are essential, detailed qualitative data are as necessary today as they were in the early studies, to allow comprehensive and reliable investigations of this complex intervention comprising “multiple human components (teachers, learners, etc.) interacting in a nonlinear fashion to produce outcomes which are highly context dependent.”16

Accordingly, we distributed an online survey to postgraduate medical learners and teachers in Riyadh, Saudi Arabia. These data are expected to supplement the expanding total of literature, adding to the reported experiences and possibly contributing to the development of strategies that can resolve specific issues, gaps, and deficiencies in online postgraduate medical education. The aim of this study is to provide qualitative and quantitative assessments of postgraduate online medical education during the COVID-19 pandemic amongst trainers and trainees in Saudi Arabia.

Research Objectives

The research had three main objectives. The first was to describe the experiences, coping, perceptions, satisfaction and preferences for online learning by medical trainers and trainees. The second was to determine how the experiences correlated with perceptions, satisfaction, and preferences. The third and foremost objective was to test the null hypothesis: no difference between trainers and trainees on various aspects of online learning.

Materials and Methods

In this cross-sectional study, a questionnaire was developed through a review of recent publications on online learning during the Covid-19 pandemic in addition to the experiences of the researchers involved. At first, the questionnaires used in previous similar studies were carefully reviewed by the authors. Then, more questions were added based on the experiences of the researchers involved— whom were either active trainers, learning managers or decision makers during the pandemic. The researchers discussed the items of the questionnaire for relevance and finalized only 43 of them.

The questionnaire was pre-tested on a pilot number of potential respondents, with care being taken to exclude them from the main survey. The questionnaire comprised several sections addressing the sociodemographics of participants and measures of experiences, perception, satisfaction, and preferences. Table 1 shows the list of variables used in the research and their corresponding questions. Nominal variables were recorded as multiple-choice questions, while ordinal variables were scored based on a 4-point or 5-point Likert Scale.

Table 1 Variables of the Study

Institutional Review Board (IRB) approval was granted on 1 July 2020 from the local IRB at King Fahad Medical City—under category “Exempt” based on Good Clinical Practice (GCP) Guidelines. The questionnaire included a cover-letter describing the purpose of the study along with a statement of informed consent for research participation—which was developed in accordance with the local IRB guidelines. No participant identifiers were collected as part of our survey and the responses were anonymous. The involved researchers maintained adherence to GCP guidelines throughout the duration of the study.

The questionnaire was distributed by e-mail on August 21, 2020, to 1200 trainers and trainees of academic medical centers within the Riyadh 2nd Health Cluster, which included King Fahad Medical City, Prince Muhammad Ibn Abdulaziz Hospital, Al Yamamah Hospital, King Salman Dialysis Center and three specialized dental centers. The sample size was computed using the Raosoft online formula as 205; based on a total population of trainees and trainers of 1200, alpha error of 0.05, 95{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} confidence level, and a 2:8 distribution based on the estimated trainee-to-trainer ratio. A follow-up was made 1 week after the initial e-mail via a reminder e-mail and/or phone call. Data received were checked and edited for consistency and accuracy. Open-ended items were coded, except for 2 questions (Q18, Q38) which were analyzed qualitatively. The variable “position” was defined as either “trainee” or “trainer.”— “Trainee” was coded to include residents R1-R4, interns, fellows and pre-scholars; “Trainer” was coded to include consultants, assistant consultants, and program directors.

Statistical analysis was carried out using SPSS v.26 to cross-tabulate frequencies of the variables and test for association using the chi square statistic, with significance being set at 0.05 using 2-sided asymptotic p values. Both the Spearman and the Kendall tau correlation coefficients were computed with a critical value of significance of 0.05 and 2-sided p values. The main objective of the analysis was to determine and explain the differences between trainers and trainees. Where indicated, multivariate logistic regression models were used to test for association while controlling for confounding to determine independent associations.

Results

Study Sample Socio-Demographics (S1–5)

A total of 1200 emails were sent out, of which 207 were returned giving a response proportion of 17{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}. Table 2 shows the sample characteristics. There were significant differences between trainees and trainers in age, gender, household size and specialty, but only age showed independent association after running a logistic regression model containing all the socio-demographic variables.

Table 2 Sample Characteristics

Transition from Traditional to Online Learning and Changes in Institutional Policies, Procedures, and Support (Q1, 2, 9–14)

Table 3 shows reported transitions and changes due to the pandemic. A high proportion, 82.1{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, rated their pre-pandemic computer and internet experience as high or medium and there was no significant difference between trainees and trainers. One-quarter, 25.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, had no online learning experience before the pandemic, with a higher proportion among trainees. There was no significant correlation between their pre-pandemic computer and internet competency with pre-pandemic online learning experience. Age was not correlated with the pre-pandemic computer and internet competency but was significantly negatively correlated with pre-pandemic online learning experience (rS= −0.257, P < 0.000).

Table 3 Transition from Traditional to Online Learning and Changes in Institutional Policies, Procedures, and Support

There was a positive correlation between the reports of ‘redesigning teaching courses’ and “change of procedures to accommodate online learning” (rS= 0.360, P < 0.0001). Major or drastic changes were reported in both by 44.9{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and 39.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of respondents, respectively. The trainees differed from trainers in reporting provision of guidelines before the start of online learning activities (P < 0.024). About 27.3{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of trainees reported inadequacy, while a higher proportion of trainers, 58.5{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, reported absence of guidelines. About 70.1{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of respondents reported a high level of institutional support for online learning with no significant difference between trainees and trainers.

A high proportion of respondents, 80.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, reported coping well or very well with online learning, with no significant differences between trainers and trainees. Coping was negatively correlated with age (rS= −0.151, P < 0.030), positively correlated with the pre-pandemic computer and internet competency (rS= 0.202, P < 0.004) but not correlated to pre-pandemic online learning experience (rS= −0.094, P < 0.177).

The transition from traditional to online learning was associated with stress. About 24.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of trainers reported extreme or major stress compared to 20.7{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} among trainees, and there was overall significant difference in stress between trainers and trainees. Stress was correlated with the pre-pandemic computer and internet competency (rS=−0.162, P < 0.020), but not with prior experience of online learning or with age; as (rs= 0.035, P = 0.562) and (rs= 0.045, P = 0.453), respectively.

Online Learning During the Pandemic: Experiences, Perceptions and Satisfaction (Q3–8, 15–17, 19)

Zoom was the preferred software by 94.2{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of respondents. All modern equipment were used equally by trainees and trainers; laptops, smartphones and tablets, with desktop computers being the least (9.2{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}). More than half of the respondents, 53.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, reported spending 4 hours or more per day on online learning activities, but there was no significant difference between both groups (P < 0.224). The majority of online learning activities, 92.3{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, took place at home during quarantine period, with no significant differences between trainees and trainers.

The 2 most popular learning activities were lectures and seminars/webinars accounting for a total 87.9{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of all activities, but trainees reported more lectures while trainers reported more seminars/webinars. Case presentations/discussions was the most popular form of assessment at 49.3{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, followed by short oral examinations 15.5{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and online OSCE 12.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}; the rest of the assessment methods were rarely used. It is noteworthy that there were significant differences: trainees reported more case presentations/discussions, 55.8{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, while trainers reported more short oral examinations 26.4{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and online OSCE 20.8{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}.

Overall perception of online learning was very positive or positive, totaling 73{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, with no significant differences between trainees and trainers. Overall perception was correlated with age (rS= −0.0213, P < 0.002), with stress (rS= −0.359, P < 0.00), with coping (rS= 0.672, P < 0.00) and with satisfaction (rS= −0.835, P < 0.000).

On a Likert scale of 1–5, 71.1{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of respondents were either satisfied or highly satisfied and 3.9{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} were very unsatisfied, with no differences between trainees and trainers. Satisfaction was correlated with age (rs = −0.136, P < 0.020), Pre-pandemic computer and internet competency (rs = 0.146, P < 0.016), stress (rS= −0.363, P<0.0001), and coping (rS= −665, P < 0.0001) but was negatively correlated to overall perception (rS= −0.835, P < 0.000).

While the response to the item on difficulties of online learning was 39.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, 15.0{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} reported technical problems as the most common problem, with trainers reporting 22.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and trainees reporting 12.3{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}. A question on challenges and opportunities presented by online learning revealed that 39.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} agreed that online learning presented challenges and opportunities while 15{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} thought it did not; however, this item had a non-response of 42.5{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}.

Comparison of Online to Traditional Face to Face Learning (Q20–32)

Respondents were asked to compare online to traditional learning on 12 items using a 5 point the Likert scale. These items were highly correlated. In total, the proportion, of “strongly agree” varied between 19.8–47.8{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} among trainees and 8.2–35.3{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} among trainers. Significant differences between trainees and trainers were observed in 6 out of 12 variables. Learners were more satisfied with learner to teacher communication 35{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} vs 30.9{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}; teacher to learner communication 39{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} vs 17{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}; reduction in academic stress 72.1{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} vs 62.3{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}; overall satisfaction 57.1{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} vs 39.7{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, and academic stimulation 66.9{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} vs 75.5{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}. Trainers agreed that online learning had less stress 62.3{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} vs 72.1{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and that it gave more time to teachers 75.5{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} vs 66.9{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}.

A wide diversity of subjective responses was given to the open-ended item asking for what was missed from traditional learning. The most common factors being interaction and associated items, like body language and engagement. Other subjective responses related to classroom dynamics such as good teaching, attention, understanding, explanation and concentration. Others related to the need for human contact such as commitment, passion and activity. The rest of the responses were more objective and measurable such as clinical practice, supervision, time, communication, verbal feedback, and workshops. Some responders said nothing was missing.

Preferences Regarding Online Learning (Q33–38)

The reports on preferred time for online learning activities showed variability with no significant differences between trainees and trainers. The highest was evening hours after work 30.4{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} closely followed by afternoon working hours 29.5{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, morning working hours 22.2{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, and night after work 15.0{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}. Weekends were the least popular 2.9{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}. Most respondents, 86{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}, preferred the duration of online learning activities of not more than 2 hours with no significant difference between trainees and trainers. Lectures and case discussions were preferred by 95{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of both trainees and trainers as the most effective online learning activities. Respondents considered multiple choice questions 54.6{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and problem-solving questions 28.5{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} as the most effective assessment methods. With regards future preferences, 64.3{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} preferred combining traditional and online methods but a respectable proportion of 25.5{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} preferred continuing eLearning as the sole method of education. A negligible proportion of 9.7{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} wanted discontinuing online learning and returning to traditional methods.

Many respondents did not answer the item about what aspects of online education should continue post pandemic. Lectures and case presentations/discussion were the most mentioned, but these did not come with online learning. Five preferred returning to the traditional methods. One wanted “everything in online learning to continue post-pandemic”.

Discussion

Differences Between Trainers and Trainees

Online medical education is not new; however, the rapid switch to exclusive online learning worldwide required institutions to take a deep dive into what was previously considered a complementary educational tool. Although most publications are related to medical school education, several considerations and issues are common among all educational levels.11,17 Our research adds to the increasing number of reports documenting issues and perceptions in response to the transition to online learning during the COVID-19 pandemic.

The major null hypothesis of this study states that there was no difference between trainees and trainers on all variables relating to online learning within our study. Knowing the differences is important for tailoring future online activities to suit the abilities and expectations of trainees and trainers alike. Gender differences were not significant in our study; however, a generation gap was obvious from the data. The trainers being older differed in being more married, having larger households and specialties. Besides socio-demographic variables, trainees and trainers had significant differences on 11 variables that can be grouped as transition from traditional to online learning, online assessment activities, and comparison to traditional learning.

Transition to eLearning, Stress, Coping, Perception and Satisfaction

In the transition to online learning, trainees had more years of prior experience with online learning, which reflects the generation gap. The trainees, being younger, are well versed in computer technology and internet use compared to older trainers.

Several variables were correlated with age as the underlying determining factor. Previous experience of online learning by trainees (younger in age) has made their transition to pandemic online learning easier. Younger age explains better coping with online learning through its positive correlation with pre-pandemic computer and internet competency. The younger trainees had lower overall perception, which may be related to having less experience in learning methods and outcomes in general.

A recent literature review summarized barriers and solutions to developing and implementing online learning programs for medical students and postgraduate trainees in global settings; however, they were not complicated by the challenges of a worldwide pandemic.17 Time and infrastructure issues were 2 barriers during such comparatively relaxed environment in studies reported from 2006 through 2015. A pre-pandemic United States national survey of 214 internal medicine residency program directors reported that synchronous online learning was used by 40{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and asynchronous learning by 72{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of programs.18 The asynchronous programs were considered to be more accommodating of resident schedules and duty hour restrictions. However, even in those non-urgent settings, faculty development was considered to be less than adequate (30{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) or non-existent (56{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) by 86{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of respondents. In our survey, 74{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of trainers reported being provided with few (18{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) or no (56{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) guidance prior to implementing online learning. Trainees in our study were more prepared; however, barely one-third (33{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) had received adequate guidelines before embarking on their online learning activities. Conversely, a survey study at the College of Pharmacy (COP) at King Saud bin Abdulaziz University for Health Sciences in Saudi Arabia reported that almost two-thirds of the students believed that the COP was well prepared for the complete transition to online learning during the COVID-19 pandemic.19 In our study, the trainees were more aware of guidelines before the start of online learning—they must have sought sources other than the trainers. Most likely, they looked for or demanded the guidelines.

As with any transition from the familiar to the new, the introduction of online learning was associated with stress. The trainers experienced more stress with eLearning, which is explained by their shorter experience with online learning before the start of the pandemic. A focus group study of 60 undergraduate medical students’ perceptions of online learning was carried out in Qassim region of Saudi Arabia during April and May 2020. The study reported that, similar to observations in most studies of online learning, technical issues were common barriers.15 The authors emphasized that providing technology training courses to teachers is essential. Deficiencies in these skills could contribute to stress during the transition period. In our study, almost one-fourth (24{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) of teachers experienced major or excessive stress while transitioning to an online learning setting; while only 4{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} had a negative coping experience once learning activities were underway.

Our results indicated that perception of online learning was positively correlated with coping, which is logical, and was negatively related to stress, which is understandable. Its negative correlation with overall satisfaction is explainable by the clash between the ideal of a high perception and the actual satisfaction from the reality of the experience. Indeed, as online teaching methods are being regarded as an efficient tool for learning, the quality of eLearning was expected to be comparable to traditional methods; and learning outcomes were not expected to be compromised.19 Most reports of experiences after the transition to online learning in medical education are also related to medical school education.20 For example, a survey study involving pre-clinical students was carried out at the University of California at San Diego during March and April 2020. They reported that, in general, students believed the quality of instruction and their ability to participate were negatively affected by remote learning.21 However, the short interval that has transpired since the start of the pandemic did not make-way for examining online learning outcomes achieved by students, with either positive or negative attitude towards it. Furthermore, in November 2020, 30 residents in a Mexican general surgery residency program (PG1-PG5) participated in a study surveying their experience after transitioning to online learning since April 2020.22 Although the academic and organizational level was considered higher than that provided by traditional learning, by 47{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and 67{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of participants, most (57{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) were neutral about whether there was a concomitant increase in their academic performance; and whether the changes had been more useful for their training (53{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) compared with their previous training. A systematic review of 29 qualifying articles examined the impact of COVID-19 on all aspects of surgical training, including the transition to online learning.23 Acknowledging decreased hands-on surgical experience; patient exposure was ubiquitous, which was in some cases accommodated partially by simulations and telemedicine. Although two studies reported 65{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} and 82{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of trainees had favorable opinions of their online learning; in one study, 65{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of trainees believed that even their theoretical training had been negatively affected.

Online Learning and Assessment Activities

Trainees differed from trainers in preferences of learning activities. Trainees had a higher proportion of lectures, while trainers had a higher proportion of seminars/webinars. There were notable differences between trainees and trainers regarding assessment activities; trainees mentioned highest participation in case presentations/discussions, while trainers mentioned more short oral examinations and online OSCE. The differences in describing the activities that took place are difficult to explain, since they experienced the same learning activities. There is a possibility that the question item was not understood by one or both groups; they may have indicated their preferences instead of their observations or the preferences biased the observations. We have no data on the distribution of respondents by hospital. It is possible that trainers who responded to the questionnaire were from hospitals that practiced online learning differently from other hospitals to which most trainees belonged.

OSCE assessment was not commonly reported by our study participants. The fact that 15{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of teachers and 9{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of students reported it as an assessment method and did not recommend it for the future, suggesting that they may have had a negative experience. Although OSCE has been in use for many years, its effectiveness and role continues to be examined. Some pre-pandemic studies on OSCE assessments for medical students reported higher stress and difficulty levels compared to traditional assessments.24 However, positive experiences of OSCE use in medical school have also been reported. A small survey study in a teaching hospital in Dammam, Saudi Arabia, reported that 63{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of students and 80{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of faculty believed that OSCE provided a fair assessment of clinical skills; and approximately two-thirds agreed that it was an enjoyable experience.25 Postgraduate students have also reported positive experiences with OSCE. In 2012, a survey of 66 internal medicine residents’ perceptions of OSCE was examined in Saudi Arabia, after implementation of OSCE as part of the final clerkship exam in 2008.26 On a 5-point Likert scale with 5 indicating strong agreement, the mean score was 4.5 for items asking if the exam was well administered, well structured and if staff guidance was helpful. The mean agreement score for the items asking whether OSCE was stressful was 3.5 and was 2.3 for intimidating. The authors concluded that the overall perception of the residents towards OSCE was favorable and encouraging.

Prior to the COVID-19 pandemic, a small number of postgraduate training programs reported their experiences with virtual OSCEs.27 Subsequently, when the UCL medical school in London canceled face-to-face assessments in response to COVID-19, an online 18-station timed OSCE was convened.27 Assessments were similar to those used in traditional OSCE, including clinical communication skills, written communication, practical skills, examination skills, and professionalism. The authors shared 12 practical tips compiled from their experience and from the literature that can help in the design and delivery of online OSCE. The Harvard School of Dental Medicine developed an online OSCE during the COVID-19 pandemic using the Zoom eLearning platform, because it featured breakout rooms where private mini-sessions could be created by the host.14 Students signed-in and were allocated to their breakout rooms; then progressed through the rooms when the allotted time had passed. Most students thought the online OSCE was as successful as traditional OSCEs, and all students believed they were able to completely demonstrate their knowledge. Examiners also had positive impressions of the online OSCE and emphasized the importance of calibrations and run-throughs prior to launch. Technical issues were the only difficulties encountered. The authors believed there was value in moving the in-person assessments online in the post-pandemic era.

Comparison to Traditional Learning

Trainees differed from trainers on 6 out of 11 items comparing online to traditional learning. Trainees were more apt to agree that online learning was better for teacher-learner communication, reducing academic stress, overall satisfaction and academic stimulation, whereas the trainers disagreed. These disagreements are explainable by the phenomenon of the generation gap considering the experience with computers and the internet, which is higher in the younger trainees. Trainers agreed more than trainees that online learning gave more time to teachers. This is understandable because online learning saves transient time between events such as movement to and within the hospital.

A recent meta-analysis of studies reported from 2000 to 2017, which compared online with offline undergraduate medical education, reported that knowledge and skills were significantly improved with online learning.28 Although not all studies in the review signify that online learning was more effective, none concluded that online learning was less effective than traditional learning. A single-center US study after the COVID-19 pandemic began included 81 emergency medicine and internal medicine residents. They reported that participants preferred in class interactions with peers (85{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) and lecturers (80{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}); with 62{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} reporting decreased engagement with lecturers during online conferences.10 Residents were significantly more engaged in other tasks during online conferences compared with in-class attendance. In our study, 35{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} of participants disagreed that online learning was academically more stimulating compared with traditional learning settings.

Changes in communication opportunities may contribute to decreased acceptance or effectiveness of online learning. An Egyptian survey (N = 78) and focus group (N = 25) study examined faculty perceptions of medical school responses to the COVID-19 pandemic. They reported that communication issues between faculty and students led to student detachment.29 Almost two-thirds (63{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) of our teachers disagreed that online learning enhanced teacher-learner communication, and 57{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} did not agree that it improved learner-teacher communication. Although our students expressed more positivity, only 39{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} believed learner-teacher communications were improved in the online setting, and 35{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} believed teacher-learner communication was improved.

A survey of 538 clinical years (fourth through sixth year) medical students was performed in all medical schools across Jordan; less than 2 months after a state of emergency was proclaimed in response to the COVID-19 pandemic in 2020.30 Over half of the participants (62{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) reported poor interaction with instructors as a drawback, with only 14{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} reporting better interaction in an online learning setting. More students would prefer a hybrid approach in the future whether they were satisfied (22{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}), neutral (24{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}), or dissatisfied (29{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) with the online learning; and a return to traditional learning was preferred by more students dissatisfied with online learning (15{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) compared with neutral (4{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) and satisfied (1{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) students. The majority of our teachers and students advocated for hybrid (65{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) or online only (26{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) education in the post-pandemic period; accordingly, efforts to maximize the benefits provided by online education are warranted.

A cross-sectional study in India included 55 postgraduate surgery residents who were without previous exposure to online teaching; the study was performed 1 month after transitioning to online didactic training during the COVID-19 lockdown.31 The transition included an orientation program for all teachers and residents. Individual items on the quality of online teaching did not indicate perceived superiority of either online or traditional learning; however, the authors considered the overall quality perception of online teaching to be favorable. The participants in our study were almost exclusively involved in theoretical learning and teaching. Transitioning to online education in this capacity does not require the capabilities, infrastructure, and inputs that are required to provide online clinical training. Overall, one-half of our study participants disagreed that online learning was better for teaching skills, with a higher percentage of teachers sharing this view (63{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) compared with students (45{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}). Similarly, a survey study of medical schools was conducted in Libya in mid 2020; stating that over half (55{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f}) of the participants disagreed or strongly disagreed that online learning can be used for teaching clinical aspects of medical sciences.32

Recommendations

A review of 14 studies on adaptive processes to the COVID pandemic in undergraduate and residency programs concluded that re-modulating the educational approach provided positive opportunities for personal and professional growth.11 However, the authors acknowledged that these qualitative narrative studies did not systematically analyze the characteristics and results of the changes that were introduced. They also believed that many of the enhancements that were described would require economic inputs that are not achievable in many parts of the world. Another study also suggested that the shift toward online education may have a lasting positive impact.33

The historical use of online videos for teaching procedural skills to postgraduate medical learners was exemplified when a systematic review was able to identify 20 qualifying articles published between 2009 and 2019.34 In the pre-pandemic period, the use of online videos was considered complementary to the more traditional teaching models. Virtual lectures could allow expert educators to disseminate beneficial knowledge to programs that do not have that level of expertise. Within an institution, cross-disciplinary education may be facilitated. It is considered that on demand virtual asynchronous lessons can be an inexpensive way to improve both access and content quality.35 These authors also believed that cross-institutional virtual collaborations can be part of a low-cost time conservative strategy; providing specialized training that otherwise may not be available in the learners’ institutions.

Several recommendations have emerged as medical training had to be adjusted for the limitations of COVID-19 on a global scale. Telehealth initiatives have been launched and/or expanded in several settings. When permitted by their institutions, residents can benefit from participating in virtual patient visits, reviewing charts and engaging in patient counseling under the supervision of the attending physician.36 Studies for examining the benefit of incorporating telemedicine into resident curricula are warranted. A few programs have responded to the pandemic by creating virtual video-based clinical training.37 A US undergraduate surgical education curriculum developed in response to the pandemic, emphasized the importance of using an interactive live-streaming platform for surgical experience, as well as patient-facing telehealth visits.38 The authors concluded that their virtual surgical education could be expanded for use in the post-pandemic era. Accordingly, institutions could benefit from cooperating on the development of valid strategies to incorporate clinical training into their postgraduate educational programs. Cleveland Clinic in Abu Dhabi constructed a 3-level pandemic response approach for developing and facilitating interventions determined to be necessary to maintain residency training.39 Online didactic education was supplemented by converting rounds to virtual platforms. However, their detailed framework description awaits assessment of its effectiveness and resident perceptions and satisfaction.

It is evident that currently published studies must be examined for their contributions to online learning development and implementation strategies in the future. Surveys such as our study can provide the basis for undertaking additional studies; to identify and adopt creative methods for effective online learning delivery and assessment. Tracking and identifying student skill gaps has become even more essential in a setting with reduced clinical learning opportunities. Innovation opportunities triggered by the pandemic should be taken advantage of; virtual and augmented reality technologies may be particularly important for teaching practical skills such as emergency interventions and surgical techniques.

In summary, our study adds to the baseline provided by numerous other studies of online learning experiences during the first few months of the COVID-19 pandemic. These early publications should be followed with additional studies, where details of program design and modifications in response to these initial observations are shared and realistic assessments of program effectiveness are performed. The availability of adequate qualitative details can contribute to collaborative participation in developing standardized strategies that can overcome the challenges of the pandemic and increase the quality of medical education in the future.

Limitations of the Study

The actual study sample of 207 was adequate according to calculations, but the researchers had been ambitious sending out 1200 questionnaires to capture as much diversity as possible. The relatively low response proportion of 17{08cd930984ace14b54ef017cfb82c397b10f0f7d5e03e6413ad93bb8e636217f} is explained by the general digital fatigue in the society, because people receive many research questionnaires through the social media. The sampling could have been more representative if it was stratified to account for differences between training hospitals and academic centers. The study could have been enriched by additional qualitative research on some variables to obtain more in-depth understanding of online learning, which is a new phenomenon.

Conclusion

The main finding of the study is the difference between trainees and trainers in their experiences with online learning. This is explained by the generation gap in the acquisition and use of modern technology between the older trainers and the younger trainees. Overall, there was high proportions of coping, perceptions and satisfaction with online learning. The majority of the respondents also preferred continuing online learning combined with traditional methods in the post-pandemic period.

Acknowledgments

Dr. Valerie Zimmerman for her great work in reviewing the manuscript.

Disclosure

The authors report no conflicts of interest in this work.

References

1. Harden RM. Trends and the future of postgraduate medical education. Emerg Med J. 2006;23(10):798–802. doi:10.1136/emj.2005.033738

2. An TW, Henry JK, Igboechi O, et al. How are orthopaedic surgery residencies responding to the COVID-19 pandemic? An assessment of resident experiences in cities of major virus outbreak. J Am Acad Orthop Surg. 2020. doi:10.5435/JAAOS-D-20-00397

3. Bansal P, Bingemann TA, Greenhawt M, et al. Clinician wellness during the COVID-19 pandemic: extraordinary times and unusual challenges for the allergist/immunologist. J Allergy Clin Immunol Pract. 2020;8:1781–1790.e3. doi:10.1016/j.jaip.2020.04.001

4. Ferrel MN, Ryan JJ. The Impact of COVID-19 on medical education. Cureus. 2020;12:3. doi:10.7759/cureus.7492

5. Ahmed H, Allaf M, Elghazaly H. COVID-19 and medical education. Lancet Infect Dis. 2020;20:777–778. doi:10.1016/s1473-3099(20)30226-7

6. Cipollaro L, Giordano L, Padulo J, Oliva F, Maffulli N. Musculoskeletal symptoms in SARS-CoV-2 (COVID-19) patients. J Orthop Surg Res. 2020;15:1. doi:10.1186/s13018-020-01702-w

7. The Royal College of Surgeons of Edinburgh. Statement on COVID-19 and its effect on surgical training RCSEd. Available from: https://www.rcsed.ac.uk/news-public-affairs/news/2020/march/statement-on-covid-19-and-its-effect-on-surgical-training. Accessed March 26, 2022.

8. AAMC. COVID-19 MCAT FAQs. Available from: https://students-residents.aamc.org/applying-medical-school/article/coronavirus-covid-19-and-mcat-exam/. Accessed March 26, 2022.

9. Daniel SJ. Education and the COVID-19 Pandemic. PROSPECTS. 2020;49(1):91–96. doi:10.1007/s11125-020-09464-3

10. Weber W, Ahn J. COVID-19 conferences: resident perceptions of online synchronous learning environments. West J Emerg Med. 2021;22:1. doi:10.5811/westjem.2020.11.49125

11. Giordano L, Cipollaro L, Migliorini F, Maffulli N. Impact of Covid-19 on undergraduate and residency training. Surgeon. 2020;19:e199–e206. doi:10.1016/j.surge.2020.09.014

12. Williams DE. The future of medical education: flipping the classroom and education technology. Ochsner J. 2016;16(1):14–15.

13. Schwartzstein RM, Roberts DH. Saying goodbye to lectures in medical school — paradigm shift or passing fad? N Engl J Med. 2017;377(7):605–607. doi:10.1056/nejmp1706474

14. Kakadia R, Chen E, Ohyama H. Implementing an online OSCE during the COVID‐19 pandemic. J Dent Educ. 2020;85(S1):1006–1008. doi:10.1002/jdd.12323

15. Khalil R, Mansour AE, Fadda WA, et al. The sudden transition to synchronized online learning during the COVID-19 pandemic in Saudi Arabia: a qualitative study exploring medical students’ perspectives. BMC Med Educ. 2020;20:1. doi:10.1186/s12909-020-02208-z

16. Wong G, Greenhalgh T, Pawson R. Internet-based medical education: a realist review of what works, for whom and in what circumstances. BMC Med Educ. 2010;10:1. doi:10.1186/1472-6920-10-12

17. O’Doherty D, Dromey M, Lougheed J, Hannigan A, Last J, McGrath D. Barriers and solutions to online learning in medical education – an integrative review. BMC Med Educ. 2018;18:1. doi:10.1186/s12909-018-1240-0

18. Wittich CM, Agrawal A, Cook DA, et al. E-learning in graduate medical education: survey of residency program directors. BMC Med Educ. 2017;17:1. doi:10.1186/s12909-017-0953-9

19. Shawaqfeh MS, Al Bekairy AM, Al-Azayzih A, et al. Pharmacy students perceptions of their distance online learning experience during the COVID-19 pandemic: a cross-sectional survey study. J Med Educ Curric Dev. 2020;7:238212052096303. doi:10.1177/2382120520963039

20. Dost S, Hossain A, Shehab M, Abdelwahed A, Al-Nusair L. Perceptions of medical students towards online teaching during the COVID-19 pandemic: a national cross-sectional survey of 2721 UK medical students. BMJ Open. 2020;10(11):e042378. doi:10.1136/bmjopen-2020-042378

21. Shahrvini B, Baxter SL, Coffey CS, MacDonald BV, Lander L. Pre-clinical remote undergraduate medical education during the COVID-19 pandemic: a survey study. BMC Med Educ. 2021;21:1. doi:10.1186/s12909-020-02445-2

22. Gonzalez-Urquijo M, Gonzalez-Hinojosa DE, Rojas-Mendez J, Rodarte-Shade M. Transferring face-to-face sessions to virtual sessions in surgical education: a survey-based assessment of a single academic general surgery program. Eur Surg. 2021;53(2):55–59. doi:10.1007/s10353-021-00691-2

23. Hope C, Reilly JJ, Griffiths G, Lund J, Humes D. The impact of COVID-19 on surgical training: a systematic review. Tech Coloproctol. 2021;25(5):505–520. doi:10.1007/s10151-020-02404-5

24. Azim Majumder A, Kumar A, Krishnamurthy K, Ojeh N, Adams OP, Sa B. An evaluative study of objective structured clinical examination (OSCE): students and examiners perspectives. Adv Med Educ Pract. 2019;10:387–397. doi:10.2147/amep.s197275

25. Alsaid A, Al-Sheikh M. Student and faculty perception of objective structured clinical examination: a teaching hospital experience. Saudi J Med Med Sci. 2017;5(1):49. doi:10.4103/1658-631x.194250

26. Alaidarous S, Mohamed TA, Masuadi E, Wali S, AlMalki A. Saudi internal medicine residents׳ perceptions of the objective structured clinical examination as a formative assessment tool. Health Prof Educ. 2016;2(2):121–129. doi:10.1016/j.hpe.2016.04.001

27. Hopwood J, Myers G, Sturrock A. Twelve tips for conducting a virtual OSCE. Med Teach. 2020;1–4. doi:10.1080/0142159x.2020.1830961

28. Pei L, Wu H. Does online learning work better than offline learning in undergraduate medical education? A systematic review and meta-analysis. Med Educ Online. 2019;24(1):1666538. doi:10.1080/10872981.2019.1666538

29. Shehata MH, Abouzeid E, Wasfy NF, Abdelaziz A, Wells RL, Ahmed SA. Medical education adaptations post COVID-19: an Egyptian reflection. J Med Educ Curric Dev. 2020;7:238212052095181. doi:10.1177/2382120520951819

30. Al-Balas M, Al-Balas HI, Jaber HM, et al. Distance learning in clinical medical education amid COVID-19 pandemic in Jordan: current situation, challenges, and perspectives. BMC Med Educ. 2020;20:1. doi:10.1186/s12909-020-02257-4

31. Srivastava V, Pandey V, Tiwari P, Patel S, Ansari MA, Shukla VK. Utility of real-time online teaching during COVID era among surgery postgraduates. Indian J Surg. 2020;82(5):762–768. doi:10.1007/s12262-020-02592-2

32. Alsoufi A, Alsuyihili A, Msherghi A, et al. Impact of the COVID-19 pandemic on medical education: medical students’ knowledge, attitudes, and practices regarding electronic learning. PLoS One. 2020;15(11):e0242905. doi:10.1371/journal.pone.0242905

33. Westerman ME, Tabakin AL, Sexton WJ, Chapin BF, Singer EA. Impact of CoVID-19 on resident and fellow education: current guidance and future opportunities for urologic oncology training programs. Urol Onco. 2021;39(6):357–364. doi:10.1016/j.urolonc.2020.09.028

34. Srinivasa K, Chen Y, Henning MA. The role of online videos in teaching procedural skills to post-graduate medical learners: a systematic narrative review. Med Teach. 2020;42(6):689–697. doi:10.1080/0142159x.2020.1733507

35. Smigelski M, Movassaghi M, Small A. Urology virtual education programs during the COVID-19 Pandemic. Curr Urol Rep. 2020;21:12. doi:10.1007/s11934-020-01004-y

36. Kwon YS, Tabakin AL, Patel HV, et al. Adapting Urology residency training in the COVID-19 Era. Urology. 2020;141:15–19. doi:10.1016/j.urology.2020.04.065

37. Pettitt-Schieber B, Kuo M, Steehler A, et al. Implementation and evaluation of eight virtual surgical electives for medical students during the COVID-19 pandemic. Am J Surg. 2021;222(2):248–253. doi:10.1016/j.amjsurg.2021.01.032

38. Chao TN, Frost AS, Brody RM, et al. Creation of an interactive virtual surgical rotation for undergraduate medical education during the COVID-19 Pandemic. J Surg Educ. 2020;78:346–350. doi:10.1016/j.jsurg.2020.06.039

39. Abdel-Razig S, Ahmad W, Shkoukani MA, et al. Residency training in the time of COVID-19: a framework for academic medical centers dealing with the pandemic. Perspect Med Educ. 2020:1–6. doi:10.1007/s40037-020-00622-z

Medical Technology Company President Convicted in $77 Million COVID-19 and Allergy Testing Scheme | OPA

Medical Technology Company President Convicted in  Million COVID-19 and Allergy Testing Scheme | OPA

A federal jury convicted the president of a Silicon Valley-based mostly clinical technological know-how company yesterday of collaborating in a plan to mislead traders, dedicate well being treatment fraud, and pay out illegal kickbacks in relationship with the submission of over $77 million in fake and fraudulent statements for COVID-19 and allergy tests.

Mark Schena, 59, of Los Altos, California, served as the president of Arrayit Corporation. According to court paperwork and evidence offered at demo, Schena engaged in a plan to defraud Arrayit’s traders by declaring that he experienced invented innovative technological innovation to exam for almost any illness using only a number of drops of blood. In conferences with buyers, Schena and his publicist claimed that Schena was the “father of microarray technology” and falsely stated that he was on the shortlist for the Nobel Prize. The evidence at trial showed that Schena also falsely represented to traders that Arrayit could be valued at $4.5 billion based on purported revenues of $80 million per year. 

In furtherance of the plan, the proof at trial showed that Schena, among other things, failed to launch Arrayit’s SEC-demanded financial disclosures and concealed that Arrayit was on the verge of bankruptcy. Schena lulled investors who ended up concerned that the organization was a “scam” by inviting them to private conferences and issuing fake press releases and tweets stating that Arrayit experienced entered into worthwhile partnerships with organizations, govt organizations, and community establishments, like a children’s hospital and a main California wellness treatment supplier. The tweets and push releases falsely claimed that these types of entities had agreed to use the Arrayit engineering, when in fact no this kind of agreements existed or have been of minimal worth. 

Schena also orchestrated an illegal kickback and overall health care fraud plan that involved submitting fraudulent promises to Medicare and personal insurance plan for unwanted allergy screening. Arrayit ran allergy screening exams on every affected person for 120 unique allergens (ranging from hornet stings to codfish) regardless of clinical necessity. In buy to obtain client blood specimens, Schena compensated kickbacks to entrepreneurs in violation of the Eradicating Kickbacks in Restoration Act and orchestrated a misleading marketing and advertising system that falsely claimed that the Arrayit take a look at was really accurate in diagnosing allergic reactions, when it was not, in point, a diagnostic exam. Arrayit billed extra for each affected person to Medicare for blood-dependent allergy tests than any other laboratory in the United States, the evidence at trial confirmed, and billed some professional insurers in excess of $10,000 for each examination.

In early 2020, Arrayit’s allergy screening business declined simply because the COVID-19 pandemic and stay-at-home orders lessened desire for allergy testing. Schena then falsely declared that Arrayit “had a check for COVID-19” based mostly on Arrayit’s blood testing technological innovation, ahead of establishing such a exam. Trying to find to capitalize on the nationwide lack of COVID-19 screening, Schena orchestrated a deceptive marketing and advertising scheme that falsely claimed that Dr. Anthony Fauci and other popular government officers experienced mandated testing for COVID-19 and allergy symptoms at the very same time and necessary that individuals receiving the Arrayit COVID-19 examination also be analyzed for allergy symptoms. Schena also falsely claimed that the Arrayit COVID-19 take a look at was much more accurate than a PCR check for diagnosing COVID-19 bacterial infections, while concealing from traders and clients taking the exam that the Meals and Drug Administration had informed him that the Arrayit take a look at was not precise ample to acquire an Crisis Use Authorization for use in the United States.

Schena was convicted of one depend of conspiracy to commit wellness care fraud and conspiracy to commit wire fraud, two counts of health care fraud, one rely of conspiracy to pay kickbacks, two counts of payment of kickbacks, and 3 counts of securities fraud. He is scheduled to be sentenced on Jan. 30, 2023 and faces a most penalty 20 a long time imprisonment for the conspiracy to commit health and fitness care fraud and conspiracy to commit wire fraud 10 yrs of imprisonment for each count of well being treatment fraud 5 yrs imprisonment for conspiracy to shell out kickbacks 10 yrs imprisonment for just about every depend of payment of kickbacks and 20 several years imprisonment for each and every count of securities fraud. U.S. District Judge Edward J. Davila will decide any sentence just after contemplating the U.S. Sentencing Rules and other statutory variables.

Assistant Lawyer Normal Kenneth A. Polite, Jr. of the Justice Department’s Criminal Division U.S. Lawyer Stephanie M. Hinds for the Northern District of California Specific Agent in Demand Craig D. Fair of the FBI’s San Francisco Field Business Performing Specific Agent in Cost Steven J. Ryan of the U.S. Office of Well being and Human Solutions Place of work of Inspector Typical (HHS-OIG) Inspector in Charge Delany De Leon-Colon of the U.S. Postal Inspection Services (USPIS) – Legal Investigations Team Particular Agent in Cost Kim R. Lampkins of the Veterans Affairs Place of work of Inspector Normal (VA-OIG) and Exclusive Agent in Demand Bryan D. Denny of the Defense Legal Investigative Assistance (DCIS) Western Field Business office produced the announcement.

HHS-OIG’s San Francisco Regional Workplace and Detroit Regional Office, USPIS, the FBI, VA-OIG and DCIS investigated the circumstance.

Performing Principal Assistant Chief Jacob Foster and Demo Lawyer Laura Connelly of the Justice Department’s Fraud Portion and Assistant U.S. Legal professional Christina Liu for the Northern District of California are prosecuting the situation.

The Fraud Segment makes use of the Target Notification Process (VNS) to deliver victims with situation info and updates associated to this case. Victims with concerns could speak to the Fraud Section’s Target Help Device by contacting the Sufferer Help cell phone line at 1-888-549-3945 or by emailing Victimassistance.fraud@usdoj.gov. To learn much more about victims’ rights, please visit: https://www.justice.gov/prison-vns/victim-legal rights-derechos-de-las-v-ctimas. If you imagine you are a target who has invested in Arrayit, or you have taken a COVID-19 test geared up or promoted by Arrayit, remember to take a look at https://www.justice.gov/prison-vns/scenario/Arrayit.