Health worker education during the COVID-19 pandemic: global disruption, responses and lessons for the future-a systematic review and meta-analysis

Exploring the Opportunities and Challenges of Healthcare Innovation in UK Higher Education: A Narrative Review

Background: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbidity, and a projected global workforce shortage of 10 million by 2030. It is becoming increasingly apparent that addressing these challenges requires more than simply increasing workforce numbers-it necessitates a shift towards innovative practices in healthcare education. Higher education (HE) plays a crucial role in preparing future healthcare professionals, yet embedding innovation within HE presents challenges such as resistance to change, resource limitations, and difficulties in interdisciplinary collaboration. This review explores the barriers and opportunities associated with fostering innovation in HE health programmes. Methods: This narrative review explored the recent literature on innovation in healthcare HE, examining national policies, institutional strategies, and emerging technological advancements. It describes the impact of digital learning tools, simulation-based education, artificial intelligence (AI), and interprofessional education (IPE) on student learning outcomes and workforce preparedness. Results: Findings suggest that while digitalisation and AI-driven innovations offer opportunities to enhance HE health programmes, their effectiveness is dependent on appropriate pedagogical integration and resource. Challenges include upskilling workforce to new more modern methods, ensuring equitable access to digital resources, and maintaining a balance between technological innovation and traditional face-to-face learning. Conclusions: To embed innovation effectively within healthcare HE, institutions may need to prioritise interdisciplinary collaboration, entrepreneurial thinking, and sustainable funding models. While technology is key to modernising education, it should be implemented alongside evidence-based pedagogical strategies to ensure meaningful learning outcomes and long-term workforce preparedness.

Changes to national postgraduate medical education during COVID-19: a scoping review of practice and impact within the UK

OBJECTIVES

Explore what is known about the impact of changes made at a national level to UK postgraduate medical education during COVID-19.

DESIGN

A scoping review, following Arksey and O'Malley's framework, reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist.

DATA SOURCES

Ovid MEDLINE, Ovid Embase and ERIC were searched for peer-reviewed literature, and grey literature was searched via DuckDuckGo. The initial search was conducted on 17 January 2023 and updated on 5 June 2024. Forward citation tracking was performed.

ELIGIBILITY CRITERIA

English-language studies of any design examining national-level adaptations to postgraduate medical education (eg, curricula, examinations and Annual Review of Competency Panels (ARCPs)) within the UK during the COVID-19 pandemic. Studies were excluded, which focused solely on undergraduate education, international settings, grassroots-level changes (eg, to individual teaching sessions), or where full text was unobtainable.

DATA EXTRACTION AND SYNTHESIS

Data were extracted using a piloted charting form and analysed thematically to identify recurring patterns across studies. Basic numerical data were collected to describe study characteristics.

RESULTS

Of 1067 records screened, 30 studies met inclusion criteria. Most were cross-sectional surveys, with a strong representation from surgical and craft specialties. Four themes were identified: (1) impact on career development (including concerns about career delays and shifts in aspirations); (2) impact on trainee progression (highlighting delays due to ARCP outcomes 10.1/10.2 and reduced procedure accreditation); (3) changes in teaching and learning (such as a shift to online learning and cancelled rotations) and (4) supervision and support (revealing mixed experiences, with reports of burnout and inadequate organisational guidance). The systemic impact was uneven across specialties and training stages.

CONCLUSIONS

National-level changes mitigated immediate educational disruptions but are beginning to reveal long-term consequences for career development, workforce planning and trainee well-being, highlighting the need for resilient and equitable future frameworks.

Identifying key drivers affecting the future of virtual reality in medical education

BACKGROUND

Policymakers must have a forward-looking mindset. Future studies are valuable tools for monitoring upcoming developments and identifying the driving forces that shape the future. This research aimed to identify the drivers or key influencing factors in the future of virtual reality in medical education.

MATERIALS AND METHOD

This study was conducted in 2021-2023 in three phases: conducting literature review, interviewing with experts, and categorizing these results within the STEEPV (Social, Technological, Economic, Environmental, Political, and Values) framework.

RESULTS

Content analysis of the literature review resulted in 273 codes and seven categories. Interviews with 15 experts were analyzed, which led to 220 codes and 30 sub-categories. Ultimately, the results of the two aforementioned stages were categorized within the STEEPV framework, including six, seven, six, two, four, and five drivers in the categories of social, technological, economic, environmental, political, and values drivers, respectively.

CONCLUSION

To successfully introduce virtual reality in universities, it is essential to create a supportive environment, adjust policies, and establish ethical guidelines. This will require initial investments, cost-reduction strategies, and collaboration with knowledge-based companies. In addition, it is vital to leverage existing technology, provide training, and enhance digital literacy to ensure effective utilization. The future of virtual reality in medical education will be influenced by technological advancements, economic factors, environmental concerns, political frameworks, and value-driven approaches.

Loneliness and mental burden among German medical students during the fading COVID-19 pandemic: a mixed-methods approach

Introduction

Medical students experience significantly more mental burdens compared to the general public. This circumstance was further exacerbated by the pandemic, particularly with regard to loneliness. While previous studies have identified risk factors for loneliness among students of different subjects, recent data focusing on medical students during the late stages of the pandemic remain insufficient. This study aims to address this gap.

Methods

We performed a cross-sectional study at a German Medical School, consisting of two online surveys conducted in winter 2021/22 and summer 2022. The study sample, composed of 283 undergraduate students in winter 2021/22 (231 in summer 2022), answered five well-established scales for measuring loneliness (R-UCLA3), distress (DT-NCCN), anxiety (GAD-2), depression (PHQ-2), and perceived stress (PPS-4). Additionally, we evaluated burdensome aspects of students' current situation through qualitative analysis. Longitudinal analyses were conducted for 80 medical students who participated in both surveys.

Results

Around 20% of all students responded to each survey. In winter 2021/22, 55.1% of students reported loneliness above the cut-off (M = 5.77 [2.02]; decreasing to 45.0% by summer 2022 (M = 5.22 [1.90]). Lonely students reported significantly higher levels of depression, anxiety, and self-perceived stress in both survey periods. Overall distress increased substantially throughout our study (Cohen's d = -0.54). Binary regression models indicated a shift in loneliness risk factors: in winter 2021/22, being single, higher self-perceived stress levels, and decreased study motivation were associated with increased loneliness. Lower peer connectedness emerged as the sole significant factor associated with loneliness in summer 2022. While the pandemic-related burden on students' study motivation lessened, issues related to exam preparation and lack of study organization through the faculty increased, varying significantly depending on students' study year.

Conclusion

Our data suggest that loneliness among German medical students decreased in the late stages of the COVID-19 pandemic. However, other mental burdens persisted at high levels compared to other data in the general public and medical students. Students' responses underscore the need for improved academic support by eased study program structure, improved counseling, and tailored services for students of different study years.

Development of a core competence model for improving medical college students' ability in respond to public health emergencies

Background

Core competences has been developed for public health professionals worldwide. However, there is no core competences framework as to how to evaluate public health professionals and undergraduate students' ability to respond to public health emergencies.

Objectives

To develop a framework of core competences in public health emergencies for education of medical college student who majored in public health. To assess the knowledge and skill level of undergraduate students with public health background in respond to health emergency event and get to known the training needs.

Methods

The Delphi method was applied to develop an agreed list of competences, which was followed by the construction of a competences framework in public health emergencies. A questionnaire consists of items that was derived from the list of competency statements developed by Delphi scoring to quantitatively report the knowledge and practical skill level and training needs of medical college students of public health background in public health emergencies.

Results

An agreed set of core competences containing 43 statements was derived from the first and second Delphi scoring steps which can be grouped into four domains: intellectual competences, practical competences, behavioral competences, personnel and motivation. A total of 441 undergraduate students with public health background participated in the survey. The average performance of intellectual and practical competences is 3 in a 5-point scale, which equals 60 converted to 100 points. A better performance was observed in indicators of behavioral competences and personnel and motivation with an average score of 4 for most of the items, which equals 80 converted to 100 points. Admission year and sex are significantly related to competency performance of all domains with β value of -0.141 (p = 0.003) and - 0.237 (p < 0.001) for the overall performance.

Conclusion

A framework of 43 core competences was developed, which covered both technical and general competencies in public health emergencies and represent the current competence demands of public health work force to be qualified for their job roles in public health emergencies for the local government in Fujian province. The concordance rate regarding to score of importance of the core competences are all >80% in both the first and second round Delphi survey, suggesting considerable reliability of the framework.

Best Practices for Early Intervention and Remediation of Residents in Family Medicine: Insights From an Interdisciplinary Delphi Study

BACKGROUND

Remediation and early intervention for family medicine residents who experience performance problems represent a challenge for programs, faculty, and residents. Some evidence suggests that identifying those at risk for performance problems and providing support early may prevent more serious issues later in residency.

OBJECTIVES

We wanted to explore the perspectives of content experts to identify best practices for early intervention and remediation to address common challenges and create a framework for more effective and inclusive early intervention and remediation.

METHODS

We used a Delphi approach to identify themes and best practices for early intervention and remediation, including qualitative interviews, identification of themes, clarification of essential practices, and confirmation of agreement with core medical faculty.

RESULTS

Our qualitative interviews and Delphi methodology identified best practices in five main categories: (a) early assessment and identification, (b) feedback, (c) resident engagement, (d) intervention strategies and resources, and (e) documentation. From an initial pool of 38 recommendations, we identified a final group of 11 practices that generated broad agreement among behavioral science faculty and core medical faculty.

CONCLUSIONS

Key principles for early intervention and remediation include early skill assessment, data-driven feedback, collaborative processes, diverse resources, clear documentation, and faculty training for providing actionable feedback. While our Delphi study provided in-depth insights into various programs' practices, it may not capture unique practices across all programs. Future research on early intervention and remediation should explore current practices, aiming for specific, collaborative, and transparent processes, with insights from experienced faculty, to enhance equity and effectiveness.

Teledentistry Applied to Health and Education Outcomes: Evidence Gap Map

BACKGROUND

Teledentistry is a field of activities that comprises information and communication technologies (ICTs) applied to dentistry, including the exchange of clinical information, patient care, and the use of educational strategies across remote distances. Its use has grown progressively over the past decades-intensified by the COVID-19 pandemic-and has been improving the provision of dental services and educational strategies ever since.

OBJECTIVE

This evidence gap map (EGM) study aims to present a collection of systematic reviews (SRs) with meta-analyses to answer the question "What are the applications of teledentistry in dental services and dental education?" by identifying gaps and current evidence on the improvement of health care and education.

METHODS

The EGM methodology has been developed by the Latin American and Caribbean Center on Health Sciences Information and is based on the concept created by the International Initiative for Impact Evaluation. Embase, PubMed, and Virtual Health Library databases were used for the literature research, using terms for teledentistry associated with eHealth, dental education, and oral health care. The data obtained from the included studies were then characterized in a Microsoft Excel spreadsheet, with a matrix containing 8 intervention groups (combined interventions, e-learning and tele-education, teleconsultation and teleservice, telemonitoring, telediagnosis, telescreening, ICTs, and artificial intelligence) and 8 outcome groups (diagnosis accuracy, education and professional training, user behavior, clinical practice, patient-centered outcomes, clinical outcomes, health services management, and access to health services). The quality of the studies was assessed using AMSTAR2 (A Measurement Tool to Assess Systematic Reviews). The visual analytics platform Tableau (Salesforce) was used to graphically display the confidence level, number of reviews, health outcomes, and intervention effects.

RESULTS

The confidence level obtained by the criteria applied was high for 28% (19/68) of the studies, moderate for 6% (4/68), low for 15% (10/68), and critically low for 51% (35/68). Among the interventions, the ICT group stood out with 182 (36.8%) out of 494 associations, followed by interventions with e-learning and tele-education (n=96, 19.4% of associations), telediagnosis (n=67, 13.6%), and combined interventions (n=53, 10.7%). Most of the outcomes were aimed at education and professional training (97/494, 19.6% of associations), patient-centered outcomes (74/494, 15%), and health services management (60/494, 12.1%).

CONCLUSIONS

This EGM presents an overview of the contributions of teledentistry in patient care, health services, clinical practice, and education. The study results may help guide future research and policy decisions and serve as a convenient virtual tool for accessing valuable evidence-based information on teledentistry.

Perspectives of work readiness among Australian health students trained during the COVID-19 pandemic

BACKGROUND

To explore perspectives of work readiness, including readiness to work rurally, among health students trained in Australia during the COVID-19 pandemic.

METHODS

Participants were allied health, medicine, and nursing students in the later years of their degree (third, fourth or final year of an undergraduate entry to practice degree, or second year of postgraduate entry to practice degree), where training is clinically immersive. These students had completed a University Department of Rural Health facilitated rural and remote placement between January 2021 and October 2022. They participated in a cross-sectional online survey (n = 426), comprising Likert-scale questions. Interested survey respondents participated in a semi-structured interview (n = 34). Multiple logistic regression was conducted to examine the predictors of work readiness within the survey, and interview data was analysed via reflexive thematic analysis.

RESULTS

Among survey respondents, 69.7% felt they would be ready to be a health practitioner when the time came to graduate and 71.8% felt clinically prepared to work in a rural location. Concerns about having developed enough clinical skills on placements to competently practice on graduation and being able to continue studying their course during the pandemic were both predictive of work readiness and feeling clinically prepared to work rurally. Four themes reflecting factors impacting work readiness were developed from interview data: (1) 'I'd estimate probably a 20-30% reduction in face-to-face handling practice over the course of all of my placements' encompassed student concerns regarding the collective impact of cancelled placements and lower patient attendance at healthcare facilities on clinical skill development; (2) 'Two and a half years of sitting behind a computer' related to student experiences of superficial learning and cohort disconnectedness due to online course delivery and loss of on campus simulations; (3) 'I'll still need like a lot of support in my grad year' related to students recognising the need for support and supervision post-qualifying to bridge the gaps in their learning; and (4) 'We are the COVID nurses' encompassed student recognition of skills gained including communication skills, competence with technology and telehealth, knowledge of infection control, and work readiness skills (e.g. adaptability and resilience) as a result of training during the global pandemic.

CONCLUSIONS

Universities can support work readiness during pandemic circumstances by fostering clinical skills development through continuation of quality placement experiences and face-to-face curriculum delivery. Although health graduates trained during the pandemic are likely to have a range of additional work ready skills, health services will need to proactively support their transition into the workforce in the coming years.

'First of all, I need training': a qualitative study evaluating the Fiji community health worker training program

BACKGROUND

Fiji faces a growing burden of diseases and a significant emigration of health workers, heightening the role of community health workers (CHWs) in healthcare delivery. Effective training is crucial for CHWs to enhance their capacity and service quality. This study evaluates CHW training in Fiji, aiming to identify areas for improvement.

METHODS

A qualitative study was conducted, encompassing a review of national policies on CHW training, six focus group discussions, and interviews with CHWs and their supervisors across Fijian subdivisions. This study was collaboratively designed with Fiji's Ministry of Health and Medical Services (MOHMS). Data was transcribed, coded, and thematically analysed using the Community Health Workers Assessment and Improvement Matrix (CHW-AIM).

FINDINGS

While CHW training policies in Fiji are well-established, discrepancies exist between the policy and its implementation. Challenges include inconsistent training for new recruits, limited resources, and variability in training content and frequency of training across divisions, especially concerning noncommunicable disease (NCD) training.

INTERPRETATION

To enhance the CHW training program in Fiji, a restructuring and standardisation of both pre-service and in-service training is necessary, tailored to the needs of each division. Investment in ongoing capacity building, alongside the development and revision of training guidelines, particularly for managing NCD complications in the community, is crucial. Implementing these changes will enable CHWs in Fiji to be better equipped for providing essential community-based care.

Understanding COVID-19 Impacts on the Health Workforce: AI-Assisted Open-Source Media Content Analysis

BACKGROUND

To investigate the impacts of the COVID-19 pandemic on the health workforce, we aimed to develop a framework that synergizes natural language processing (NLP) techniques and human-generated analysis to reduce, organize, classify, and analyze a vast volume of publicly available news articles to complement scientific literature and support strategic policy dialogue, advocacy, and decision-making.

OBJECTIVE

This study aimed to explore the possibility of systematically scanning intelligence from media that are usually not captured or best gathered through structured academic channels and inform on the impacts of the COVID-19 pandemic on the health workforce, contributing factors to the pervasiveness of the impacts, and policy responses, as depicted in publicly available news articles. Our focus was to investigate the impacts of the COVID-19 pandemic and, concurrently, assess the feasibility of gathering health workforce insights from open sources rapidly.

METHODS

We conducted an NLP-assisted media content analysis of open-source news coverage on the COVID-19 pandemic published between January 2020 and June 2022. A data set of 3,299,158 English news articles on the COVID-19 pandemic was extracted from the World Health Organization Epidemic Intelligence through Open Sources (EIOS) system. The data preparation phase included developing rules-based classification, fine-tuning an NLP summarization model, and further data processing. Following relevancy evaluation, a deductive-inductive approach was used for the analysis of the summarizations. This included data extraction, inductive coding, and theme grouping.

RESULTS

After processing and classifying the initial data set comprising 3,299,158 news articles and reports, a data set of 5131 articles with 3,007,693 words was devised. The NLP summarization model allowed for a reduction in the length of each article resulting in 496,209 words that facilitated agile analysis performed by humans. Media content analysis yielded results in 3 sections: areas of COVID-19 impacts and their pervasiveness, contributing factors to COVID-19-related impacts, and responses to the impacts. The results suggest that insufficient remuneration and compensation packages have been key disruptors for the health workforce during the COVID-19 pandemic, leading to industrial actions and mental health burdens. Shortages of personal protective equipment and occupational risks have increased infection and death risks, particularly at the pandemic's onset. Workload and staff shortages became a growing disruption as the pandemic progressed.

CONCLUSIONS

This study demonstrates the capacity of artificial intelligence-assisted media content analysis applied to open-source news articles and reports concerning the health workforce. Adequate remuneration packages and personal protective equipment supplies should be prioritized as preventive measures to reduce the initial impact of future pandemics on the health workforce. Interventions aimed at lessening the emotional toll and workload need to be formulated as a part of reactive measures, enhancing the efficiency and maintainability of health delivery during a pandemic.

Innovation and Competency Development in Occupational Therapy Fieldwork During the COVID-19 Pandemic

Background: Occupational therapy clinical education was disrupted because of the COVID-19 pandemic. This introduced both challenges and opportunities in clinical fieldwork education and created a naturalistic opportunity to study the innovations that occurred. Purpose: To identify and describe fieldwork education innovations that occurred during the COVID-19 pandemic and understand how these clinical learning contexts impacted competency development in occupational therapy learners. Method: A qualitative multi-case study methodology was used. The participants (N = 28) were occupational therapy learners and preceptors who self-identified as having participated in an innovative fieldwork placement during the pandemic either as a preceptor or learner. Data were collected via in-depth interviews and analyzed to identify cases of innovation. Within and across case analyses were conducted to describe innovations and competencies addressed. Findings: Three cases of fieldwork innovations were identified: (a) Virtual Care; (b) Intrapreneurship; and (c) Administration. The commonly addressed competency domains across the cases were OT Expertise, Excellence in Practice, and Communication and Collaboration. The competency domain, culture, equity, and justice, was only addressed in the virtual care case. Conclusion: Our findings indicate that innovative fieldwork placements can support competency development in occupational therapy; however, this development is complex and contextually based.

The impact of COVID-19 on medical education and training

The COVID-19 pandemic social isolation policies have accelerated the shift to online teaching for medical students and doctors in training worldwide. Online learning is cost-effective, available, and flexible. However, it can be challenging due to the technical system errors, which results in the disruption of the learning process and social isolation yielding to less satisfaction among students and teachers. The above can have negative consequences on the mental health of medical students and trainees, which is an under-researched area. United Kingdom based medical students and doctors in speciality training encountered disruptions to medical education and training due to the pandemic. Medical school and deaneries had to endorse adjustments to teaching and training delivery methods, examination, and assessments to ensure the continued progression of learning and training. A successful e-learning model depends on motivated and well-prepared medical students and teachers and structured educational materials in supported learning environment and institutions. A blended model is likely to be utilised by medical institutions for medical training in the future, which will need to be researched.

Effectiveness of Online Team-based Learning for Pharmacists on How to Conduct Clinical Medication Reviews for Old Patients in Japan: A Randomized Controlled Trial

BACKGROUND/AIM

This study aimed to determine the effectiveness of online team-based learning (TBL) and the factors influencing dropouts from online TBL for pharmacists on how to conduct clinical medication reviews for older adults.

PARTICIPANTS AND METHODS

All participants were randomly assigned to the TBL or non-TBL group by using a random number sequence table matched by their years of experience working as a pharmacist. The primary outcome was whether the score on the team readiness assurance test (TRAT) in the TBL group differed from that on the second individual readiness assurance test (IRAT) in the non-TBL group. The secondary outcome was to identify factors contributing to dropouts from the online TBL program.

RESULTS

The TRAT score in the TBL group was significantly higher than the second IRAT score in the non-TBL group during the first session (p=0.010). There were no differences in TRAT and IRAT scores between groups in two subsequent sessions. Logistic regression analysis revealed that less than 10 years of pharmacy experience was a contributor to dropouts (p=0.039), whereas experience in home-based care prevented dropouts (p=0.026) in our online TBL program.

CONCLUSION

This study revealed the short-term usefulness of online TBL on medication reviews for older adults and elucidated the factors related to dropouts. Although instructors should provide positive feedback to participants with insufficient experience in pharmacy practice and home-based care, online TBL has the potential to improve educational effectiveness for community pharmacists during the COVID-19 pandemic.

EFAS/EAN survey on the influence of the COVID-19 pandemic on European clinical autonomic education and research

PURPOSE

To understand the influence of the coronavirus disease 2019 (COVID-19) pandemic on clinical autonomic education and research in Europe.

METHODS

We invited 84 European autonomic centers to complete an online survey, recorded the pre-pandemic-to-pandemic percentage of junior participants in the annual congresses of the European Federation of Autonomic Societies (EFAS) and European Academy of Neurology (EAN) and the pre-pandemic-to-pandemic number of PubMed publications on neurological disorders.

RESULTS

Forty-six centers answered the survey (55%). Twenty-nine centers were involved in clinical autonomic education and experienced pandemic-related didactic interruptions for 9 (5; 9) months. Ninety percent (n = 26/29) of autonomic educational centers reported a negative impact of the COVID-19 pandemic on education quality, and 93% (n = 27/29) established e-learning models. Both the 2020 joint EAN-EFAS virtual congress and the 2021 (virtual) and 2022 (hybrid) EFAS and EAN congresses marked higher percentages of junior participants than in 2019. Forty-one respondents (89%) were autonomic researchers, and 29 of them reported pandemic-related trial interruptions for 5 (2; 9) months. Since the pandemic begin, almost half of the respondents had less time for scientific writing. Likewise, the number of PubMed publications on autonomic topics showed the smallest increase compared with other neurological fields in 2020-2021 and the highest drop in 2022. Autonomic research centers that amended their trial protocols for telemedicine (38%, n = 16/41) maintained higher clinical caseloads during the first pandemic year.

CONCLUSIONS

The COVID-19 pandemic had a substantial negative impact on European clinical autonomic education and research. At the same time, it promoted digitalization, favoring more equitable access to autonomic education and improved trial design.

Impact of the COVID-19 pandemic on training conditions and education in oncologic disciplines: a survey-based analysis

PURPOSE

The COVID-19 pandemic has led to changes in global health care. Medical societies had to update guidelines and enhance new services such as video consultations. Cancer treatment had to be modified. The aim of this study is to ensure optimal care for cancer patients with the help of high-quality training even in times of crisis. We therefore conducted a nationwide survey of physicians in training in oncological disciplines during the pandemic to assess the impact on their education.

METHODS

The survey was sent to tumour centres, hospitals, specialist societies, and working and junior research groups and distributed via newsletters and homepages. Interim results and a call for participation were published as a poster (DEGRO) [26] and in the German Cancer Society (DKG) journal FORUM [42]. The survey contained 53 questions on conditions of education and training and on clinical and scientific work. Statistics were carried out with LimeSurvey and SPSS (IBM Corp., Armonk, NY, USA).

RESULTS

Between February and November 2022, 450 participants answered the survey, with radio-oncologists being the largest group (28%). Most colleagues (63%) had access to digital training methods. Virtual sessions were rated as a good alternative, especially as multidisciplinary meetings (54%) as well as in-house and external training programs (48%, 47%). The time spent by training supervisors on education was rated as less than before the pandemic by 57%. Half of all participants perceived communication (54%), motivation (44%) and atmosphere (50%) in the team as bad. The participants felt strongly burdened by extra work (55%) and by a changed team atmosphere (49%). One third felt a change in the quality of training during the pandemic and rated it as negative (35%). According to 37% of the participants, this had little influence on their own quality of work. Additional subgroup analyses revealed significant differences in gender, specialty and education level.

CONCLUSION

In order to improve oncology training in times of crisis, access to digital training options and meetings should be ensured. Participants wish for regular team meetings in person to enable good team spirit, compensation for overtime work and sufficient time for training supervisors for discussion and feedback.

Are Ethiopian schools of medicine producing competent medical graduates for providing quality health care in the era of COVID-19 pandemic?

BACKGROUND

Competent health workforce, including medical doctors, is the heart of health systems. Cognizant of this, Ethiopia is implementing licensure exam as a strategy to produce competent health workforce, including medical doctors and beyond, for the provision of high quality health care, among others. However, there is a dearth of evidence on medical graduates' competence in Ethiopia in the era of Covid-19 pandemic. Hence, this study aimed to assess the competence of medical graduates-based on licensure exam results in Ethiopia.

METHODS

A multi -center institution-based cross-sectional study was conducted among 1051 medical graduates (selected through cluster sampling method) from May - July 2022 in Medical Schools found in Amhara region, Northwest Ethiopia. Data were collected from secondary sources at the Ministry of Health and Medical Schools using a structured checklist. Data analysis was performed using SPSS Version 23 software. A binary logistic regression analysis was performed to identify factors associated with graduates' competence.

RESULTS

Nine hundred sixty-one (91.4%) medical graduates were competent. The study revealed that those graduates with older age (AOR: 0.63; 95% CI: 0.52, 0.76), being female graduates (AOR: 0.39; 95% CI: 0.22, 0.69), graduated in 2021 (AOR: 0.31; 95%; CI: 0.17, 0.60) and attending education in junior medical schools (AOR: 0.06; 95% CI : 0.01, 0.40) have lower competence as compared with that of their counterparts. Whereas, graduates with no repeating internship attachment (AOR: 2.41; 95% CI: 1.40, 4.17) and graduates with repeating academic year (AOR: 2.01; 95% CI: 1.14, 3.56) have better competence than that of their counterparts.

CONCLUSION

The proportion of competent medical graduates was relatively low as per the national strategic plan which aspires that all medical graduates to be competent. Medical graduate's competence was affected by age, gender, curriculum being implemented, and having academic as well as internship repeats. As result, policymakers should scale up competency based education in Medical Schools.