Digital education for health professions in the field of dermatology: A systematic review by digital health education collaboration

Acta Dermato-Venereologica

Volumn 99, Issue 2, 2019, Pages 133-138

  Xu, Xiaomeng ^a   Posadzki, Pawel Przemyslaw ^a   Lee, Grace E ^c   Car, Josip ^a,d   Smith, Helen Elizabeth ^b,e  

^a Centre for Population Health Sciences   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e Centre for Population Health Sciences   (Singapore)

Author keywords

Dermatology; Education; Review

Indexed keywords

CLINICIAN; COMPARATIVE EFFECTIVENESS; CONTROLLED STUDY; DERMATOLOGY; HEALTH EDUCATION; HUMAN; HUMAN EXPERIMENT; OCCUPATION; OUTCOME ASSESSMENT; REVIEW; SATISFACTION; SKILL; SYSTEMATIC REVIEW; ATTITUDE TO HEALTH; CURRICULUM; EDUCATION; EDUCATIONAL STATUS; HEALTH CARE PERSONNEL; HEALTH PERSONNEL ATTITUDE; PROCEDURES; PSYCHOLOGY; TEACHING; VOCATIONAL EDUCATION;

ATTITUDE OF HEALTH PERSONNEL; COMPUTER-ASSISTED INSTRUCTION; CURRICULUM; DERMATOLOGY; EDUCATION, PROFESSIONAL; EDUCATIONAL STATUS; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HEALTH PERSONNEL; HUMANS;

EID: 85060936379     PISSN: 00015555     EISSN: 16512057     Source Type: Journal    
DOI: 10.2340/00015555-3068     Document Type: Review

References (43)

1. Hay RJ, Johns NE, Williams HC, Bolliger IW, Dellavalle RP, Margolis DJ, et al. The global burden of skin disease in 2010: an analysis of the prevalence and impact of skin conditions. J Invest Dermatol 2014; 134: 1527–1534.
2. Hay RJ, Fuller LC. Global burden of skin disease in the elderly: a grand challenge to skin health. G Ital Dermatol Venereol 2015; 150: 693–698.
3. Kalia S, Haiducu ML. The burden of skin disease in the United States and Canada. Dermatol Clin 2012; 30: 5–18, vii.
4. Duque G, Finkelstein A, Roberts A, Tabatabai D, Gold SL, Winer LR, et al. Learning while evaluating: the use of an electronic evaluation portfolio in a geriatric medicine clerk-ship. BMC Med Educ 2006; 6: 4.
5. Alavi A, Moallemi N, Zolfaghari G, Amjadi N. Effect of maintenance therapy with isoxsuprine in prevention of preterm labor. Int J Gynaecol Obstet 2015; 131: E477.
6. Badiei M, Gharib M, Zolfaghari M, Mojtahedzadeh R. Comparing nurses’ knowledge retention following electronic continuous education and educational booklet: a controlled trial study. Med J Islam Repub Iran 2016; 30: 364.
7. Kimball AB, Resneck JS, Jr. The US dermatology workforce: a specialty remains in shortage. J Am Acad Dermatol 2008; 59: 741–745.
8. Sinclair JA, Singla A, Lowe R, Jacobson BC. A randomized, controlled trial to improve ascites management by internal medicine residents. Gastroenterology 2012; 142: S62.
9. Aluttis C, Bishaw T, Frank MW. The workforce for health in a globalized context – global shortages and international migration. Glob Health Action 2014; 7: 23611.
10. Resneck JS, Jr., Kimball AB. Who else is providing care in dermatology practices? Trends in the use of nonphysician clinicians. J Am Acad Dermatol 2008; 58: 211–216.
11. Tsang MW, Resneck JS, Jr. Even patients with changing moles face long dermatology appointment wait-times: a study of simulated patient calls to dermatologists. J Am Acad Dermatol 2006; 55: 54–58.
12. Organization WH. A universal truth: no health without a workforce. http://www.who.int/workforcealliance/know-ledge/resources/GHWA-a_universal_truth_report.pdf: World Health Organization, 2014.
13. Boespflug A, Guerra J, Dalle S, Thomas L. Enhancement of Customary Dermoscopy Education With Spaced Education e-Learning: A Prospective Controlled Trial. JAMA Dermatology 2015; 151: 847–853.
14. George PP, Papachristou N, Belisario JM, Wang W, Wark PA, Cotic Z, et al. Online eLearning for undergraduates in health professions: A systematic review of the impact on knowledge, skills, attitudes and satisfaction. J Global Health 2014; 4: 010406.
15. Goh PS. eLearning or technology enhanced learning in medical education-Hope, not hype. Medical Teach 2016; 38: 957–958.
16. Reid HJ, Thomson C, McGlade KJ. Content and discontent: a qualitative exploration of obstacles to elearning engagement in medical students. BMC Med Educ 2016; 16: 188.
17. Sissine M, Segan R, Taylor M, Jefferson B, Borrelli A, Koehler M, et al. Cost Comparison Model: Blended eLearning versus traditional training of community health workers. Online J Public Health Inform 2014; 6: e196.
18. Higgins JPT, Green S. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 The Cochrane Collaboration 2011.
19. Fontaine G, Cossette S. Effectiveness of adaptive E-learning environments on knowledge, competence, and behavior in health professionals and students: protocol for a systematic review and meta-analysis. JMIR Res Protoc 2017; 6: e128.
20. Krishnasamy C, Ong SY, Yock Y, Lim I, Rees R, Car J. Factors influencing the implementation, adoption, use, sustainabi-lity and scalability of mLearning for medical and nursing education: a systematic review protocol. JMIR Res Protoc 2016; 5: 178.
21. Rasmussen K, Belisario JM, Wark PA, Molina JA, Loong SL, Cotic Z, et al. Offline eLearning for undergraduates in health professions: A systematic review of the impact on knowledge, skills, attitudes and satisfaction. J Global Health 2014; 4: 010405.
22. Li J, Li QL, Li J, Chen ML, Xie HF, Li YP, et al. Comparison of three problem-based learning conditions (real patients, digital and paper) with lecture-based learning in a dermatology course: a prospective randomized study from China. Med Teach 2013; 35: e963–970.
23. Uis.unesco.org. International Standard Classification of Education (ISCED). 2018.
24. Schünemann HJ OA, Higgins JP, Vist GE, Glasziou P, Guyatt GH. Chapter 11: Presenting results and ‘summary of findings’ tables. Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Applicability and Recommendations Methods Group and the Cochrane Statistical Methods Group; 2011.
25. Aldridge B, Glodzik D, Bisset Y, Ballerini L, Robertson,K, Xi L, et al. Dermofit: A novel software that improves novices’ diagnostic accuracy to a level above that of trained medical students. J Invest Dermatol 2016; 31: 32.
26. Amri M, ElHani I, Alkhateeb AA. Digital photographs in clinical teaching of dermatology: what is their proper place? Med Teach 2012; 34: 510–511.
27. Bredesen IM, Bjoro K, Gunningberg L, Hofoss D. Effect of e-learning program on risk assessment and pressure ulcer classification – A randomized study. Nurse Educ Today 2016; 40: 191–197.
28. de Sena DP, Fabricio DD, Lopes MH, da Silva VD. Computer-assisted teaching of skin flap surgery: validation of a mobile platform software for medical students. PloS One 2013; 8: e65833.
29. Gerbert B, Bronstone A, Maurer T, Berger T, McPhee SJ, Caspers N. The effectiveness of an Internet-based tutorial in improving primary care physicians’ skin cancer triage skills. J Cancer Educ 2002; 17: 7–11.
30. Jenkins S, Goel R, Morrell DS. Computer-assisted instruction versus traditional lecture for medical student teaching of dermatology morphology: a randomized control trial. J Am Acad Dermatol 2008; 59: 255–259.
31. Schopf T, Flytkjaer V. Impact of interactive web-based education with mobile and email-based support of general practitioners on treatment and referral patterns of patients with atopic dermatitis: randomized controlled trial. J Med Internet Res 2012; 14: e171.
32. Soirefmann M, Comparin C, Boza J, Wen CL, Cestari TF. Impact of a cybertutor in dermatological teaching. Int J Dermatol 2013; 52: 722–727.
33. Veredas FJ, Ruiz-Bandera E, Villa-Estrada F, Rufino-Gonzalez JF, Morente L. A web-based e-learning application for wound diagnosis and treatment. Comput Methods Programs Biomed 2014; 116: 236–248.
34. Viguier M, Rist S, Aubin F, Leccia MT, Richard MA, Esposito-Farese M, et al. Online training on skin cancer diagnosis in rheumatologists: results from a nationwide randomized web-based survey. PLoS One 2015; 10: e0127564.
35. Wahlgren CF, Edelbring S, Fors U, Hindbeck H, Stahle M. Evaluation of an interactive case simulation system in dermatology and venereology for medical students. BMC Med Educ 2006; 6: 40.
36. Goldie JG. Connectivism: A knowledge learning theory for the digital age? Medical Teach 2016; 38: 1064–1069.
37. Lau KH. Computer-based teaching module design: principles derived from learning theories. Med Educ 2014; 48: 247–254.
38. Stienen MN, Schaller K, Cock H, Lisnic V, Regli L, Thomson S. eLearning resources to supplement postgraduate neurosurgery training. Acta Neurochirurgica 2017; 159: 325–337.
39. 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: Cd011736.
40. Lahti M, Hatonen H, Valimaki M. Impact of e-learning on nurses’ and student nurses knowledge, skills, and satisfaction: a systematic review and meta-analysis. Int J Nurs Stud 2014; 51: 136–149.
41. Handal B, Groenlund C, Gerzina T. Academic perceptions amongst educators towards eLearning tools in dental education. Int Dent J 2011; 61: 70–75.
42. Reeves S, Fletcher S, McLoughlin C, Yim A, Patel KD. Inter-professional online learning for primary healthcare: findings from a scoping review. BMJ Open 2017; 7: e016872.
43. Booth A, Carroll C, Papaioannou D, Sutton A, Wong R. Applying findings from a systematic review of workplace-based e-learning: implications for health information professionals. Health Info Libr J 2009; 26: 4–21.