Use of e-learning in clinical clerkships: effects on acquisition of dermatological knowledge and learning processes
Frederike Fransen1, Herm Martens1, Ivo Nagtzaam1 and Sylvia Heeneman2
1Department of Dermatology, Maastricht University Medical Centre, Maastricht, The Netherlands
2Department of Pathology, School of Health Profession Education, Maastricht University, Maastricht, The Netherlands
Submitted: 29/07/2017; Accepted: 30/12/2017; Published: 17/01/2018
Int J Med Educ. 2018; 9:11-17; doi: 10.5116/ijme.5a47.8ab0
© 2018 Frederike Fransen et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use of work provided the original work is properly cited. http://creativecommons.org/licenses/by/3.0
Abstract
Objectives: To obtain a deeper understanding of how the e-learning program, Education in Dermatology (ED), affects the acquisition of dermatological knowledge and the underlying learning processes of medical students in their clinical phase.
Methods: The study used a mixed method design with a convergent parallel collection of data. Medical students (n=62) from Maastricht University (The Netherlands) were randomized to either a conventional teaching group (control group n=30) or conventional teaching plus the e-learning program (application on smartphone) group (e-learning group n=32). Pre- and post-intervention knowledge test results were analysed using an independent t-test. Individual semi-structured interviews (n=9) were conducted and verbatim-transcribed recordings were analysed using King’s template analysis.
Results: The e-learning program positively influenced students’ level of knowledge and their process of learning. A significant difference was found in the post-test scores for the control group (M=51.4, SD=6.43) and the e-learning group (M=73.09, SD=5.12); t(60)=-14.75, p<0.000). Interview data showed that the e-learning program stimulated students’ learning as the application promoted the identification and recognition of skin disorders, the use of references, creation of documents and sharing information with colleagues.
Conclusions: This study demonstrated that use of the e-learning program led to a significant improvement in basic dermatological knowledge. The underlying learning processes indicated that e-learning programs in dermatology filled a vital gap in the understanding of clinical reasoning in dermatology. These results might be useful when developing (clinical) teaching formats with a special focus on visual disciplines.
Introduction
In today’s general medical practice, physicians are frequently faced with dermatological cases.1,2 However, the limited dermatological training in medical schools stands in stark contrast with the high number of skin diseases that are estimated to be encountered in primary care.3
Medical students are insufficiently exposed to dermatological cases prior to their clerkships. Published studies have reported that the time devoted to dermatology in the medical undergraduate curriculum is only 0.24-0.30% of the period of their study, and call for either more or other formats of teaching. This lack of education often results in knowledge gaps and low confidence levels in performing skin examinations and managing cutaneous disorders in clinical practice.3-6 E-learning refers to the use of internet technologies to provide strategies for enhancing knowledge and performance.7,8,9 The rapid advances in online medical, educational systems have demonstrated promising benefits for learning processes, such as the ability to approach study materials at any time and in off-site locations, the possibility of controlling the depth of content delivery, and the possibility of giving and receiving feedback regularly.7,9,10 In the field of dermatology, this new teaching concept has shown to increase medical students exposure to skin diseases, which helps build their recognition of common dermatological conditions.3 Previous studies1,3,7,9,11,12 that evaluated e-learning teaching formats in the field of dermatology have stated that students valued the visual and interactive aspects. However, there is still a need to better understand students’ perceptions on e-learning and how it can drive learning. Silva and colleagues3 reported that the use of an e-learning program, in combination with traditional teaching methods, resulted in improved retention of knowledge of dermatological topics. They emphasized the need for further exploration, since e-learning may enhance the learning process, and potentially improve the overall learning experience of medical students when studying dermatology. Wahlgren and colleagues1 have pointed out that most of the web-based programs in dermatology have been developed for medical students within the preclinical curriculum. However, the value and benefits of e-learning formats for dermatology within the context of clinical clerkships are not yet known.1,3,7,13
This study explores the learning benefits of an e-learning program on smartphones among medical students in the clinical clerkships. The objective of this study is to investigate the effect of the e-learning program on the acquisition of dermatological knowledge in comparison to non-program users. The second objective is to provide a deeper understanding of how the e-learning program and its learning benefits are perceived by medical students, and how it can drive learning.
To the best of our knowledge, this study is the first to use a mixed method design to merge quantitative data on knowledge acquisition with qualitative data on students’ perceptions of an e-learning program in dermatology. In addition, this study focuses on students in their clinical clerkships, as opposed to a pre-clinical learning environment.
Methods
Study design and participants
The study used a mixed method design with a convergent parallel collection of data in order to create a synergistic understanding of the learning process provided by the e-learning program. The mixed method allowed us to explore to what extent the qualitative data (interviews) complemented the quantitative data (knowledge test scores).14
Participants were fourth-year medical students at Maastricht University that were enrolled in a clinical clerkship. During the fourth year, internal medicine is part of the first clerkship offered to medical students. The clerkships take place in the University Hospital of Maastricht or affiliated hospitals in the region. The clerkship in internal medicine consists of 12 weeks, in which students are placed in various internal medicine disciplines such as cardiology, pulmonology, or dermatology for 3-6 weeks. These placements are random; therefore only 2 out of 15 students are assigned to the dermatology ward per round of 12 weeks.
Participants were randomized to either a conventional teaching group (control group n=30) or conventional teaching plus the e-learning program (application on smartphone) group (e-learning group n=32). The conventional teaching consisted of one lecture addressing dermatological topics. The duration of the follow-up period of all participants was six weeks. As each group of students started their first clerkship in different periods, the timeframe of data collection ranged from November 2016 until February 2017.
Participants in the e-learning group were given short verbal and practical instructions on how to use the e-learning program. This program, named Education in Dermatology (ED), is an interactive web-based program that can be accessed from any computer or smartphone. The program contains 35 clinical cases, featuring the most common dermatological diseases. Each case consists of two or three multiple-choice questions regarding the description, diagnosis, and management of the disease. Answers are provided along with examples of typical visual features necessary to evaluate skin lesions. In addition, links and references to learning materials, such as websites, are provided for in-depth information.
The study was approved by the ethical review board of the Dutch Society for Medical Education. Informed consent forms were obtained from all participants prior to the study. Participation in the study was voluntary. Results did not affect students’ grades and were used for research purposes only.
Data collection methods
Quantitative data
The department of dermatology at the University Hospital of Maastricht developed the multiple-choice questions used in the program and the tests. These questions are part of an existing, validated question bank that is used for summative assessment during the clerkships at the teaching hospital of Maastricht University. To ensure reliability, dermatologists and course instructors (HM, IN) critically reviewed the content before using the questions in the pre- and post-tests and e-learning program. Questions were based on the learning objectives and outcomes of the medical curriculum. Each case consisted of three questions that measured different levels of learning: knowledge, combined comprehension and application, and problem-solving ability. Before the start of the intervention, all students were asked to complete the pre-test. After six weeks, students were asked to complete the post-test. Each test consisted of 45 questions. A time limit of 45 minutes was applied. Scores ranged from 0% to a maximum of 100%. To prevent students in the e-learning group sharing information with the control group, individual passwords for the program were provided to students within the e-learning group.
Qualitative data
Individual interviews were used to explore students’ experiences of the e-learning program, and their learning approaches. The interview consisted of semi-structured questions based on basic concepts of learning, self-regulation of learning, and user-friendliness of the program (Appendix).15-18 Students of the e-learning group who had fully completed six weeks of study were invited to take part. A total of 9 students participated in the individual interviews, with 4 students using the e-learning during a placement in the dermatology ward and 5 using the e-learning during a placement in a different internal medicine discipline. Interviews were conducted between December 2016 and February 2017 by the first author (FF). Interview time was fifty-sixty minutes. All interviews were audiotaped and transcribed verbatim. We present the results of the interviews through summaries and quotes.
Data analysis
Quantitative data
We compared the pre- and post-test in the e-learning and control group using an independent paired t-test. A p value of < 0.05 was considered statistically significant. The Statistical Package for Social Sciences (SPSS version 21) was used for the data analysis.
Qualitative data
Interviews were analysed using a type of theory-based thematic analysis: template analysis. During this exploration, a sequence of coding patterns, involving hierarchically organized themes, was applied to the data.19
The template analysis started with a set of predefined codes, based on previous studies in e-learning which also supported the development of the interview questions.13,15-18Independent analysis of interviews 1–5 (FF and SH) using the predefined codes resulted in an initial template, which was then used in interviews 6-9. This led to the final template that was discussed with the research team (FF, SH, and HM), as represented in Table 2. Following interview 9, all new data fitted in categories already devised, no new insights were obtained, no new themes identified, and no new issues arose regarding a category of data. We, therefore, conclude that data saturation was reached at this point.
To certify that no significant information had been overlooked, all interviews were reread by SH and FF, after which the final template could be confirmed. Thereafter, interpretation of relationships between the e-learning program and learning responses was performed.
Results
Quantitative data
In total, 84 students were included, and 62 (30 control group and 32 e-learning program) completed the six-week e-learning program. Dropout was caused by a lack of motivation and a high workload in the clerkship on top of other commitments.
In the pre-test, no statistically significant difference was present between the control group (M=40.27, SD=6.46) and e-learning group (M= 41.63, SD= 8.19). There was a significant difference in the post-test scores for control (M=51.4, SD=6.43) and e-learning group (M=73.09, SD=5.12) conditions; t(60)=-14.75, p<0.000), suggesting that the e-learning program had a significant effect on the acquisition of knowledge in dermatology (Table 1).
Qualitative data
The emergent themes and sub-themes that were derived from template analysis are presented in Table 2. There were two primary themes: use of e-learning, and the impact of the program on learning approaches. For each theme, we present clarifying quotes in the following paragraphs.
Use of the e-learning program
Incentive
Regarding the underlying motivation for using the e-learning program, all participants used the program for gaining more knowledge in dermatological topics. Generally, the majority of students agreed that unfamiliarity with, and limited instruction in dermatology during the course of their medical studies encouraged the use of the program (quote 1, Table 3).
This concern could be linked to the common awareness of the relevance of dermatology for various aspects of their future careers in all medical disciplines, as well as encountering questions on dermatological topics in formal assessments and seeing patients with dermatological problems in the clerkships (quote 2, Table 3).
Agency
The e-learning program increased students’ sense of agency;
they could study and learn autonomously, independent of the input from supervisors or the medical training program. Preparations for clerkships, assessments, and social activities were interfering factors for daily use of the e-learning program. Students preferred to work on the e-learning program at home, during the evenings, or at weekends (quote 3, Table 3).
A few barriers of the e-learning program were related to technological issues, e.g., the sharpness of pictures (quote 4, Table 3).
Learning value
In this section, we present pure - and post-learning effects. of the e-learning program on students’ learning processes.20 Pure-learning effects entail learning during the use of the e-learning program, post-learning effects entail the impact on learning following use of the e-learning program.20
Pure-learning effects
The interviewees mentioned specific features where the material of the e-learning program had additional learning value
for the diseases and procedures in dermatology. The selected cases and associated questions enabled students to get acquainted to the specific steps in a dermatological anamnesis, identifying skin disorders through images, and formulating a differential diagnosis (quote 5, Table 3).
Students stated that the pre-selected questions specifically guided a deeper understanding of the cases. Most of these cases included diseases that were also encountered in practice. In this way, as stated by the students, the controlled introduction of knowledge via the cases allowed students to focus on a specific subject, as opposed to being overwhelmed by information in dermatological textbooks (quote 6, Table 3).
The field of dermatology was perceived as challenging as it represents a large number of possible diseases, and requires detailed knowledge to formulate a differential diagnosis.1,2 Students were required to compare images of skin diseases and to link these with accurate anamnestic information. Therefore, the combination of visual images and patient history in the cases in the e-learning program facilitated the recognition of diseases, allowing students to search for differences between diseases when presented with similar features. In addition, the multiple-choice questions were seen as helpful, as the possible answers each represented a differential diagnosis. This was perceived as helpful for the formulation of a differential diagnosis (quote 8, Table 3).
Post-learning effects
Regarding the post-learning effect of the program, students noted that the links to websites initiated the use of the references and the creation of documents for personal learning. In addition, use of the program stimulated discussion of information with medical professionals and other students and aided in the recognition of skin problems in the clinic.
The references helped to review wrong answers in a purposeful way. Feedback on the answers was an important feature for the self-evaluation of their knowledge (quote 9-10, Table 3). Links to websites were also used to further study the mechanisms of diseases. Most students kept a document as an ‘overview’ for themselves, leading to improved retention of knowledge (quote 11, Table 3).
Some students discussed the cases in the program with colleagues or medical professionals in the workplace. By discussing cases, more in-depth information was gained, improving the insights in the disease (quote 12, Table 3). Use of the program also encouraged students to exchange information and discuss mechanisms; this was considered helpful given the unfamiliarity with dermatological diseases, and the desire to do well in assessments (quote 13, Table 3).
Recognition of diseases in the clerkship facilitated students’ learning by forming a more coherent picture of the patient and disease. Some students used the encounter with patients to return to the program, allowing them to consolidate their knowledge (quote 14, Table 3).
Discussion
An e-learning program in dermatology on smartphones offers a promising approach to enhance students’ knowledge and learning approaches. Our results resonated with recent studies on the use of e-learning in dermatology.1,3,7,11
Wahlgren and colleagues described several benefits of the use of e-learning programs for students, such as the ability to work at their own pace, and allowing repetition and reflection, which is not always possible when working with patients in a clinical setting.1 These findings are comparable to the observed effects on learners’ ‘agency’ and the pure-learning effects in the current study. The perception that knowledge was acquired more rapidly was also identified by Wahlgren and colleagues, which might be a result of focusing on a specific subject or topic, as opposed to being overwhelmed by information in dermatological textbooks.
The data in the interview study also pointed to performance- or learning- goal orientation as an important theoretical framework.21 A student with a performance- goal orientation is focused on proving competence or ability, and how this is judged in comparison to others; whereas, in a learning-goal orientation, a student is focused on learning and increasing competence for the personal benefit.21,22
Results showed both aspects of the model. Students used the cases with information and feedback from the questions to manage their desired and actual performance and to identify their learning needs. In addition, asking peers for feedback or information supported their learning. However, students also indicated that the features of the e-learning program supported their performance improvement, allowing them to perform better in the exam at the end of the clerkship, in addition to improving their progress as learners. Options such as immediate feedback could be provided by this technology, which could identify weak points, so that students could learn more quickly from their knowledge gaps, within the context of both a performance- and learning goal orientation.7, 12
E-learning programs are becoming popular as an additional educational format in medical education.9, 12 However, even if e-learning is appreciated by students, the efficacy of e-learning must be rigorously evaluated and compared to conventional teaching. Studies evaluating online modules in Dermatology showed that students significantly increased their performance level in examinations.1,3,7,11In our study, we also showed that the e-learning program significantly increased knowledge acquisition in dermatology when combined with conventional teaching methods. More studies are required to evaluate the impact of e-learning teaching formats used either alone or in conjunction with conventional teaching methods.
We acknowledge several limitations in this study. First, we only evaluated the use of the program in one university. Our results may therefore not be generalizable to other areas and medical curricula. Second, the study focused solely on short-term retention of knowledge. Future work could investigate whether the e-learning program would also be suitable as a teaching method in improving long-term knowledge retention in the subject of dermatology.
Conclusions
This study indicated that the use of an e-learning program in dermatology by undergraduate medical students in their clinical phase had a positive effect on learning outcomes. Use of the e-learning program led to a significant improvement in basic dermatological knowledge. An important finding was the underlying mechanism of learning, which were related to pure-learning effects, i.e., learning while using the e-learning program; and post-learning effects, i.e., learning through the use of references, to create documents, and discuss information with other medical professionals. The importance of novel educational formats as described in this paper is very likely to move beyond the scope of medical students and field of dermatology. In addition to previous studies that focused on students in their pre-clinical phase, this study identified important learning processes of medical students in their clinical phase.1,3,12,23,24 Furthermore, the e-learning program holds promise for other disciplines, such as family medicine, radiology, and pathology. In view of creating more exposure to dermatology in medical education, we suggest complementing conventional teaching formats with an e-learning program on smartphones to assist in students’ learning of dermatological cases and topics.
Acknowledgements
We are grateful to all of the medical students who were willing to participate in this pilot as well as providing helpful comments. We thank S. van Mierlo and R. van Amelsfoort of Fontys Hogescholen, The Netherlands, for their support during the program development. Finally, we wish to thank Niels van Berkel, School of Computing and Information Systems, University of Melbourne, and Ella Gough, London, United Kingdom, for their helpful feedback on the draft manuscript. Financial support was provided through the Department of Dermatology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Conflict of Interest
The authors declare that they have no conflict of interest.
Supplementary materials
References
- Wahlgren CF, Edelbring S, Fors U, Hindbeck H and Ståhle M. Evaluation of an interactive case simulation system in dermatology and venereology for medical students. BMC Med Educ. 2006; 6: 40.
Full Text PubMed - Verhoeven EW, Kraaimaat FW, van de Kerkhof PC, van Weel C, Duller P, van der Valk PG, van den Hoogen HJ, Bor JH, Schers HJ and Evers AW. Prevalence of physical symptoms of itch, pain and fatigue in patients with skin diseases in general practice. Br J Dermatol. 2007; 156: 1346-1349.
Full Text PubMed - Silva CS, Souza MB, Silva Filho RS, Medeiros LM and Criado PR. E-learning program for medical students in dermatology. Clinics (Sao Paulo). 2011; 66: 619-622.
PubMed - McCleskey PE. Clinic teaching made easy: a prospective study of the American Academy of Dermatology core curriculum in primary care learners. J Am Acad Dermatol. 2013; 69: 273-279.
Full Text PubMed - Wise E, Singh D, Moore M, Hayes B, Biello KB, Dickerson MC, Ness R and Geller A. Rates of skin cancer screening and prevention counseling by US medical residents. Arch Dermatol. 2009; 145: 1131-1136.
Full Text PubMed - Hong CH, McLean D, Shapiro J and Lui H. Using the internet to assess and teach medical students in dermatology. J Cutan Med Surg. 2002; 6: 315-319.
Full Text PubMed - Ruiz JG, Mintzer MJ and Leipzig RM. The impact of E-learning in medical education. Acad Med. 2006; 81: 207-212.
PubMed - Hammoud M, Gruppen L, Erickson SS, Cox SM, Espey E, Goepfert A and Katz NT. To the Point: reviews in medical education online computer assisted instruction materials. Am J Obstet Gynecol. 2006; 194: 1064-1069.
Full Text PubMed - McKimm J, Jollie C and Cantillon P. ABC of learning and teaching: Web based learning. BMJ. 2003; 326: 870-873.
Full Text PubMed - Gruner D, Pottie K, Archibald D, Allison J, Sabourin V, Belcaid I, McCarthy A, Brindamour M, Augustincic Polec L and Duke P. Introducing global health into the undergraduate medical school curriculum using an e-learning program: a mixed method pilot study. BMC Med Educ. 2015; 15: 142.
Full Text PubMed - Hartmann AC and Cruz PD. Interactive mechanisms for teaching dermatology to medical students. Arch Dermatol. 1998; 134: 725-728.
PubMed - Soirefmann M, Comparin C, Boza J, Wen CL and Cestari TF. Impact of a cybertutor in dermatological teaching. Int J Dermatol. 2013; 52: 722-727.
Full Text PubMed - Roesch A, Gruber H, Hawelka B, Hamm H, Arnold N, Popal H and Stolz W. Computer assisted learning in medicine: a long-term evaluation of the 'Practical Training Programme Dermatology 2000'. Med Inform Internet Med. 2003; 28: 147-159.
Full Text PubMed - Schifferdecker KE and Reed VA. Using mixed methods research in medical education: basic guidelines for researchers. Med Educ. 2009; 43: 637-644.
Full Text PubMed - Heeneman S, Oudkerk Pool A, Schuwirth LW, van der Vleuten CP and Driessen EW. The impact of programmatic assessment on student learning: theory versus practice. Med Educ. 2015; 49: 487-498.
Full Text PubMed - Larsen DP, Butler AC, Roediger HL. Test-enhanced learning in medical education. Med Educ.2008; 42:959-66.
- Pintrich PR. A conceptual framework for assessing motivation and self-regulated learning in college students. Educ Psychol Rev. 2004;16:385-407.
- van der Vleuten CP, Schuwirth LW, Driessen EW, Dijkstra J, Tigelaar D, Baartman LK and van Tartwijk J. A model for programmatic assessment fit for purpose. Med Teach. 2012; 34: 205-214.
Full Text PubMed - King N. Doing template analysis. In: Symon G, Cassell C, editors. Essential guide to qualitative methods in organizational research. London: SAGE Publications; 2004.
- Cilliers FJ, Schuwirth LW, Herman N, Adendorff HJ and van der Vleuten CP. A model of the pre-assessment learning effects of summative assessment in medical education. Adv Health Sci Educ Theory Pract. 2012; 17: 39-53.
Full Text PubMed - Kaplan A, Maehr ML. The contributions and prospects of goal orientation theory. Educ Psych Rev. 2007;19:141-184.
- Gardner AK, Diesen DL, Hogg D and Huerta S. The impact of goal setting and goal orientation on performance during a clerkship surgical skills training program. Am J Surg. 2016; 211: 321-325.
Full Text PubMed - Doshi DN, Firth K, Mintz M and Ehrlich A. Pilot study of a skin cancer education curriculum for medical students. J Am Acad Dermatol. 2007; 56: 167-169.
Full Text PubMed - Hansra NK, O'Sullivan P, Chen CL and Berger TG. Medical school dermatology curriculum: are we adequately preparing primary care physicians? J Am Acad Dermatol. 2009; 61: 23-29.
Full Text PubMed