Competence-Based Approach and Prospects for Continuous Medical Education in Addressing Current Issues in Healthcare Organisation and Management
DOI:
https://doi.org/10.32782/2077-6594/2026.2/19Keywords:
medical workforce development, lifelong professional training, competency assessment, healthcare management education, simulation-based learning, digital learning environmentsAbstract
Purpose: to study the competence-based approach and the quality of medical education at the postgraduate stage of specialist training, to highlight the use of modern active technologies and methods in the training of medical personnel, and to analyse organisational and methodological issues related to the implementation of this experience, as well as the prospects for the development of continuing medical education. Materials and methods. In the course of the study, an integrated approach was applied, including a survey of medical professionals who were students of the specialisation cycle “Organisation and Management of health protection” of the Department of Hygiene and Social Medicine of V. N. Karazin Kharkiv National University. Results. In the study, the authors paid special attention to methods such as case technology, business games, the project method, brainstorming, and simulation training. But the greatest effect is achieved with a combination of methods. Learning with the help of active technologies in improvement cycles is of greater interest to adult specialists compared to traditional methods. In addition, modern learning technologies improve the quality of education, as evidenced by the final control results. Conclusions. Modern teaching methods in continuous medical education significantly improve the quality of specialist training due to their flexibility and their ability to integrate with participants’ professional activities during the learning process. Today, the transition we have analysed, from the classical assessment of training medical specialists’ results to the assessment of their competencies, is quite progressive.
References
Zendejas B, Brydges R, Hamstra SJ, Cook DA. State of the evidence on simulation-based training for laparoscopic surgery: a systematic review. Ann Surg. 2013;257(4):586–593. https://doi.org/10.1097/SLA.0b013e318288c40b
Ahlberg G, Enochsson L, Gallagher AG, Hedman L, Hogman C, McClusky DA 3rd, et al. Proficiency-based virtual reality training significantly reduces the error rate for residents during their first 10 laparoscopic cholecystectomies. Am J Surg. 2007;193(6):797–804. https://doi.org/10.1016/j.amjsurg.2006.06.050
Ström P, Hedman L, Särnå L, Kjellin A, Wredmark T, Felländer-Tsai L. Early exposure to haptic feedback enhances performance in surgical simulator training: a prospective randomized crossover study in surgical residents. Surg Endosc. 2006;20(9):1383–1388. https://doi.org/10.1007/s00464-005-0545-3
Zendejas B, Cook DA, Bingener J, Huebner M, Dunn WF, Sarr MG, et al. Simulation-based mastery learning improves patient outcomes in laparoscopic inguinal hernia repair: a randomized controlled trial. Ann Surg. 2011;254(3):502–511. https://doi.org/10.1097/SLA.0b013e31822c6994
Buja LM. Medical education today: all that glitters is not gold. BMC Med Educ. 2019;19:110. https://doi.org/10.1186/s12909-019-1535-9
Wen C, Lyu X, Zhang Q. Factors affecting career decision-making of stomatology undergraduate students in China at graduation: a cross-sectional study on selection dilemmas. BMC Med Educ. 2024;24:1087. https://doi.org/10.1186/s12909-024-06050-5
Thornblade LW, Fong Y. Simulation-based training in robotic surgery: contemporary and future methods. J Laparoendosc Adv Surg Tech A. 2021;31(5):556–560. https://doi.org/10.1089/lap.2021.0082
MacCraith E, Forde JC, Davis NF. Robotic simulation training for urological trainees: a comprehensive review of cost, merits and challenges. J Robot Surg. 2019;13(3):371–377. https://doi.org/10.1007/s11701-019-00934-1
Gavin NR, Satin AJ. Simulation training in obstetrics. Clin Obstet Gynecol. 2017;60(4):802–810. https://doi.org/10.1097/GRF.0000000000000322
Stefanidis D, Yonce TC, Korndorffer JR Jr, Phillips R, Coker A. Does incorporating motion metrics into the existing FLS metrics improve acquisition on simulators? A single-blinded, randomised controlled trial. Ann Surg. 2013;258(1):46–52. https://doi.org/10.1097/SLA.0b013e318285f531
Jamieson S. State of the science: quality improvement of medical curriculum – should you approach it? Med Educ. 2023;57(1):49–56. https://doi.org/10.1111/medu.14912
Ten Cate O. Competency-based postgraduate medical education: past, present and future. GMS J Med Educ. 2017;34(5):Doc69. https://doi.org/10.3205/zma001146
McGaghie WC, Miller GE, Sajid AW, Telder TV. Competency-based curriculum development in medical education [Internet]. Geneva: World Health Organization; 1978 [cited 2025 May 12]. Available from: http://whqlibdoc.who.int/php/WHO_PHP_68.pdf
Holmboe ES, Sherbino J, Long DM, Swing SR, Frank JR. The role of assessment in competency-based medical education. Med Teach. 2010;32(8):676–682. https://doi.org/10.3109/0142159X.2010.500704
Chang A, Bowen JL, Buranosky RA, Frankel RM, Ghosh N, Rosenblum MJ, et al. Transforming primary care training: patient-centred medical home entrustable professional activities for internal medicine residents. J Gen Intern Med. 2013;28(6):801–809. https://doi.org/10.1007/s11606-012-2193-3
Filipe HP, Mack HG, Golnik KC. Continuing professional development: progress beyond continuing medical education. Ann Eye Sci. 2017;2(7):46. https://doi.org/10.21037/aes.2017.04.01




