Document Type : Original Article

Authors

1 Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia

2 Faculty of Medicine, Zagazig University, Zagazig, Egypt

3 General Medicine Practice Program, Batterjee Medical Collage, Dammam, Saudi Arabia

4 Family and Community Medicine Department, College of Medicine, Taibah University, Madinah, Saudi Arabia

5 Epidemiology & Preventive Medicine Department, National Liver Institute, Egypt

6 Department of Medical Histology and Cell Biology, Faculty of Medicine, Zagazig University, Zagazig, 44519, Egypt

7 College of Medicine, University of Ha'il, Ha'il, 2240, Saudi Arabia

8 Faculty of Medicine, Cairo University, Cairo, Egypt

9 Medical Education Department, Faculty of Medicine, Suez Canal University, Egypt

10.30476/jamp.2025.108712.2265

Abstract

Introduction: The digital transformation of healthcare has amplified the importance of digital self-representation and professional branding. Understanding how these factors influence lifelong learning motivation is essential for fostering continuous professional development in an evolving clinical landscape. This study aimed to examine the relationship between digital selfrepresentation,
professional branding, and motivation for lifelong learning among health professionals, and to identify demographic, disciplinary, and regional factors influencing these dynamics.
Methods: A descriptive cross-sectional study was conducted among 340 health professionals using the Jefferson Scale of Lifelong Learning (JeffSLL) and a validated Digital Identity
Scale. Statistical analysis assessed the correlations between digital identity engagement and lifelong learning motivation, and examined group differences by age, discipline, region, and gender.
Results: Participants demonstrated high lifelong learning motivation (JeffSLL mean=3.33±0.65) and moderate-to-high digital engagement (Digital Identity Scale mean=3.19±0.57). A strong positive correlation was observed between digital identity engagement and learning motivation (r=0.635, p<0.001). The highest engagement was reported among mid-career professionals (aged 36–45 years) and those with 11–15 years of experience. Participants from dentistry and European regions showed the highest motivation for lifelong learning (p=0.005). No significant gender differences were noted.
Conclusions: Digital identity is a significant predictor of lifelong learning motivation among health professionals. Engagement with digital self-representation and professional branding is especially pronounced among mid-career professionals and in regions with robust digital infrastructure and continuing professional development mandates. However, emotional and ethical complexities persist, underscoring the need for contextsensitive, institutionally supported strategies to foster digital professionalism and equitable lifelong learning opportunities.

Highlights

SHEREEN ELTARHOUNY

TAYSEER MANSOUR

Keywords

  1. Ruan B, Yilmaz Y, Lu D, Lee M, Chan TM. Defining the Digital Self: A Qualitative Study to Explore the Digital Component of Professional Identity in the Health Professions. J Med Internet Res. 2020;22(9):e21416.
  2. Reda EY. Exploring the components of digital identity on social networks sites: Identifier, post, Profile Photo, and Selfie. European Scientific Journal, ESJ. 2024;20(1):1.
  3. Szwed M. Would you pay an insta-doctor a visit? Social Media Personal Brands and young consumer perception. Journal of Marketing and Consumer Behaviour in Emerging Markets. 2024;2024(2):1–14.
  4. Faihs V, Heininger S, McLennan S, Gartmeier M, Berberat PO, Wijnen-Meijer M. Professional identity and motivation for medical school in first-year medical students: A cross-sectional study. Medical Science Educator. 2023;33(2):431–41.
  5. Gryshchenko O, Murphy M, Voloshyna-Narozhna V. Eudaimonia and lifelong learning motivation. Grail of Science. 2023;(32):333–42.
  6. Novak M, Palladino C, Ange B, Richardson D. Jefferson Scale of Lifelong Learning-Health Professions students version (Jeffsll-HPS): An instrument to measure health professions students’ orientation toward lifelong learning. MedEdPORTAL. 2014;10:9671.
  7. Zhou Y, Sumettikoon P. Empowering principals for lifelong learning: Self-directed approaches in digitalized information systems. Journal of Information Systems Engineering and Management. 2024;9(4):27098.
  8. Guraya SS, Guraya SY, Yusoff MSB. Preserving professional identities, behaviors, and values in digital professionalism using social networking sites; a systematic review. BMC Med Educ. 2021;21(1):381.
  9. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55(1):68-78.
  10. Berger-Estilita J, Krista L, Gogollari A, Schmitz F, Elfering A, Guttormsen S. Self-directed learning in health professions: A mixed-methods systematic review of the literature. PLoS One. 2025;20(5):e0320530.
  11. Franc E, Stampfl R, Geyer B. Virtual communities of practice on LinkedIn: A study on self-directed, work-related learning. MAP Education and Humanities. 2024;4(1):100–14.
  12. Borges do Nascimento IJ, Abdulazeem H, Vasanthan LT, Martinez EZ, Zucoloto ML, Østengaard L, et al. Barriers and facilitators to utilizing digital health technologies by healthcare professionals. NPJ Digit Med. 2023;6(1):161.
  13. Tahir HN, Habib S, Jabeen R, Dhanwani A, Jawed S, Guerrero-Torres L, et al. Protocol of digital decision support system (DDSS) embedded within a tele-primary healthcare platform in Pakistan: an assessment of usability, acceptability, effectiveness and perceived quality of care in a resource-constrained setting. BMJ Open. 2024;14(9):e082167.
  14. Konttila J, Siira H, Kyngäs H, Lahtinen M, Elo S, Kääriäinen M, et al. Healthcare professionals' competence in digitalisation: A systematic review. J Clin Nurs. 2019;28(5-6):745-61.
  15. Fernández-Luque AM, Ramirez-Montoya MS. Health professionals’ competencies in the framework of complexity: Digital Training Model for Education 4.0. Revista Española de Documentación Científica. 2024;47(2):1.
  16. Kavut S. Digital Identity Scale: A validity and Reliability Study. Media Literacy and Academic Research. 2024;7(1):174–89.
  17. Sarraf-Yazdi S, Teo YN, How AEH, Teo YH, Goh S, Kow CS, et al. A Scoping Review of Professional Identity Formation in Undergraduate Medical Education. J Gen Intern Med. 2021;36(11):3511-21.
  18. Slotnick HB. How doctors learn: physicians' self-directed learning episodes. Acad Med. 1999;74(10):1106-17.
  19. Kononowicz AA, Woodham LA, Edelbring S, Stathakarou N, Davies D, Saxena N, et al. Virtual Patient Simulations in Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration. J Med Internet Res. 2019;21(7):e14676.
  20. Cervero RM, Gaines JK. The impact of CME on physician performance and patient health outcomes: an updated synthesis of systematic reviews. J Contin Educ Health Prof. 2015;35(2):131-8.
  21. Kleppinger CA, Cain J. Personal Digital Branding as a Professional Asset in the Digital Age. Am J Pharm Educ. 2015;79(6):79.
  22. Chaudhary FA, Ahmad B, Javed MQ, Mustafa S, Fazal A, Javaid MM, et al Teledentistry awareness, its usefulness, and challenges among dental professionals in Pakistan and Saudi Arabia. Digit Health. 2022;8:20552076221089776.
  23. Capriotti P, Zeler I. Analysing effective social media communication in Higher Education Institutions. Humanities and Social Sciences Communications. 2023;10(1):1-14.
  24. Ventola CL. Social media and health care professionals: benefits, risks, and best practices. P T. 2014;39(7):491-520.
  25. Al-Osaimi DN. The impact of digital learning on Saudi nursing students' engagement: A qualitative study. Nurs Open. 2024;11(8):e2188.
  26. Shon S, Shin H, Rim D, Jeon H. Nursing faculty development program for digital teaching competence. BMC Med Educ. 2024;24(1):511.
  27. Shah CS, Krishnan S. Digital Gender Gap, gender equality and national institutional freedom: A Dynamic Panel Analysis. Information Systems Frontiers. 2023;27(2):605–34.
  28. Elena-Bucea A, Cruz-Jesus F, Oliveira T, Coelho PS. Assessing the role of age, education, gender and income on the digital divide: Evidence for the European Union. Information Systems Frontiers. 2020;23(4):1007–21.
  29. Correa A, Glas MG, Opara J. Females in higher education and leadership: Insights from a multi-method approach. Frontiers in Education. 2025;9:1468395.
  30. Napal Fraile M, Peñalva-Vélez A, Mendióroz Lacambra AM. Development of digital competence in Secondary Education Teachers’ training. Education Sciences. 2018;8(3):104.
  31. Wasityastuti W, Susani YP, Prabandari YS, Rahayu GR. Correlation between academic motivation and professional identity in medical students in the Faculty of Medicine of the Universitas gadjah mada Indonesia. Educación Médica. 2018;19(1):23–9.
  32. Wang T, Jiang Y. The relationship between professional identity and academic burnout among college students majoring in physical education a chain-mediated effect. Front Psychol. 2025;16:1618909.
  33. Naamati-Schneider L, Arazi-Fadlon M, Daphna-Tekoah S. Navigating moral and ethical dilemmas in digital transformation processes within healthcare organizations. Digit Health. 2024;10:20552076241260416.
  34. Tukur M, Schneider J, Househ M, Dokoro AH, Ismail UI, Dawaki M, et al. The metaverse digital environments: a scoping review of the challenges, privacy and security issues. Front Big Data. 2023;6:1301812.
  35. Davis DA, Mazmanian PE, Fordis M, Van Harrison R, Thorpe KE, Perrier L. Accuracy of physician self-assessment compared with observed measures of competence: a systematic review. JAMA. 2006;296(9):1094-102.
  36. Vaona A, Banzi R, Kwag KH, Rigon G, Cereda D, Pecoraro V, et al. E-learning for health professionals. Cochrane Database Syst Rev. 2018;1(1):CD011736.