Protocol
Abstract
Background: There has been a significant increase in the use of e-learning for global and public health education recently, especially following the COVID-19 pandemic. e-Learning holds the potential to offer equal opportunities, overcoming barriers like physical limitations and training costs. However, its effectiveness remains debated, with institutions unprepared for the sudden shift during the pandemic. To effectively evaluate the outcomes of e-learning, a standardized and rigorous approach is necessary. However, the existing literature on this subject often lacks standardized assessment tools and theoretical foundations, leading to ambiguity in the evaluation process. Consequently, it becomes imperative to identify a clear theoretical foundation and practical approach for evaluating global and public health e-learning outcomes.
Objective: This protocol for a scoping review aims to map the state of e-learning evaluation in global and public health education to determine the existing theoretical evaluation frameworks, methods, tools, and domains and the gaps in research and practice.
Methods: The scoping review will be conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The initial search was performed in PubMed, Education Resource Information Center, Web of Science, and Scopus to identify peer-reviewed articles that report on the use of evaluation and assessment for e-learning training. The search strings combined the concepts of e-learning, public health, and health science education, along with evaluation and frameworks. After the initial search, a screening process will be carried out to determine the relevance of the identified studies to the research question. Data related to the characteristics of the included studies, the characteristics of the e-learning technology used in the studies, and the study outcomes will be extracted from the eligible articles. The extracted data will then undergo a structured, descriptive, quantitative, and qualitative content analysis to synthesize the information from the selected studies.
Results: Initial database searches yielded a total of 980 results. Duplicates have been removed, and title and abstract screening of the 805 remaining extracted articles are underway. Quantitative and qualitative findings from the reviewed articles will be presented to answer the study objective.
Conclusions: This scoping review will provide global and public health educators with a comprehensive overview of the current state of e-learning evaluation. By identifying existing e-learning frameworks and tools, the findings will offer valuable guidance for further advancements in global and public health e-learning evaluation. The study will also enable the creation of a comprehensive, evidence-based e-learning evaluation framework and tools, which will improve the quality and accountability of global health and public health education. Ultimately, this will contribute to better health outcomes.
International Registered Report Identifier (IRRID): DERR1-10.2196/49955
doi:10.2196/49955
Keywords
Introduction
Even before COVID-19, health systems around the globe were confronted with multiple challenges that necessitated strengthening health systems based on the primary health care approach and maintaining a good balance between public health and clinical care. The shortage in the health workforce, including public health professionals, is among the challenges that hinder the achievement of global health goals [
- ]. Still, the medical education literature addressing public health is scarce [ ].e-Learning (also known as digital education or technology-enhanced learning, among other synonymous terms) is a promising educational strategy to address the shortage of skilled health professionals through strengthening education [
]. The electronic-based approach to learning and education uses different forms of electronic devices, applications, or processes. The internet is the commonly used mode to deliver e-learning content, though non–internet-based delivery, such as via CD-ROM, audiotape and videotape, satellite broadcasts, stand-alone computers, and interactive televisions, are also being used [ , ].In higher education, including medical education, the use of e-learning began in the 1990s and has been documented in the scientific literature since 2000 [
, ]. Structuring learning outcomes around clinical or public health competencies is a common approach to classifying and reporting e-learning interventions [ ]. However, the usefulness and effectiveness of e-learning in medical education have long been debated [ - ]. Nevertheless, a well-designed and implemented e-learning program has the potential to provide equal opportunities for medical education by maintaining flexibility, and at the same time, overcoming multiple barriers to building health workforce capacity, such as physical barriers and training delivery costs [ , , ].More recently, the COVID-19 pandemic pushed education toward a distance structure and stimulated the exponential growth of e-learning education [
, ]. Unfortunately, many institutions around the globe were not prepared for the digital transformation [ , ]. Moreover, the effectiveness of e-learning depends on many factors that go beyond the e-learning intervention [ , ].Hence, a pressing need to evaluate the different dimensions of e-learning interventions has emerged. To do so, a standard and rigorous approach to evaluating e-learning is essential. Existing evidence suggests that e-learning is associated with high satisfaction and improvement in knowledge and skills [
, ], and the effectiveness of e-learning for health professionals is comparable to that of traditional educational interventions. However, the existing literature in medical education is usually limited to measuring e-learning outcomes and comparing e-learning with traditional methodologies. Further research is needed, particularly focusing on its impact on trainees’ behaviors and patient outcomes [ , ].Additionally, the validity of such evaluations is threatened by the dearth of literature that reports the use of standardized assessment tools [
, ] and theoretical foundations, which are essential to explain what and how learning can be facilitated [ - ]. Moreover, the methodological diversity among studies hampers the clear interpretation of the findings [ ]. To establish a more definitive understanding of the benefits and limitations of e-learning in the health care sector, additional investigation and standardization of methods are essential.The aim of the systematic scoping review will be to map the theoretical frameworks and models that explain the underlying concepts, domains, and constructs, as well as the assessment tools required, of rigorous e-learning evaluation. This will enable evidence-based practice as a means of ensuring accountability and validity in education.
It is worth noting that evaluation and assessment are often used interchangeably in the literature. In this paper, however, we will refer to evaluation as the process of obtaining information about any aspect of an educational program for subsequent judgment and decision-making. On the other hand, assessment will refer to the instruments that measure the learner's achievements, which comprise an essential component of the evaluation. To understand what is known about how public health e-learning is being evaluated, the scoping review will aim to identify and synthesize the available evidence on the evaluation frameworks and tools. The study will identify, describe, and discuss the theoretical frameworks and tools that are being used to evaluate public health e-learning. The PICO (Population, Intervention, Comparison, and Outcome) essential elements framework guided the development of the research questions (
). Specifically, in the context of public health education, this study aims to answer the following questions: (1) How is e-learning evaluation conceptualized? (2) What are the existing theoretical models or frameworks to evaluate e-learning and what do they aim to evaluate? (3) How is e-learning evaluation investigated or measured? (4) Are there validated tools for evaluating e-learning? (5) What outcomes do these tools evaluate?Element | Description |
Population | Health professionals or students |
Interest | e-Learning evaluation and assessment frameworks and tools |
Context | Public health and public health-related education |
Outcome | Reporting the evaluation framework or tools |
Methods
The scoping literature review involved a systematic search following the PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses Extension for Scoping Reviews) checklist [
]. Unlike systematic reviews, which address a relatively narrow range of quality-assessed studies, a systematic scoping review addresses broad questions, mapping the key concepts underpinning a research area and the main sources and types of evidence with a range of methodologies, and does not undertake quality assessment.Inclusion and Exclusion Criteria
The articles selected in this review aim to describe or use a framework or tool to evaluate e-learning used for public health education. The e-learning target group could be undergraduate, graduate, or continuing education programs. All types of study designs of peer-reviewed, original studies that were published after 2000 in English will be included. See
for further details about inclusion and exclusion criteria.Inclusion criteria
- Population
- Includes health professionals or students at any level (undergraduate, graduate, or continuing education programs).
- Interest
- Articles addressing public health or public health–related fields (eg, global health, international health, One Health, planetary health, humanitarian health, disaster medicine or disaster management).
- Outcome
- Articles that describe evaluation frameworks or tools for e-learning.
- Article type
- Peer-reviewed original literature.
- Empirical and theoretical articles, including those with experimental and quasi-experimental study designs, descriptive and analytical observational study designs, and qualitative studies.
- Studies may or may not include comparison with conventional or other e-learning.
- Language, date, and availability
- Articles published after 2000.
- Articles written in English.
- Articles for which the full text is available.
Exclusion criteria
- Population
- The evaluated population did not include health professionals or students.
- Interest
- Articles that did not address public health or public health–related education.
- Articles focused on clinical skill evaluation.
- Articles focused on medical education topics related to individualistic clinical care, diagnostics, or basic health science.
- Outcome
- Articles that did not describe or use evaluation frameworks or tools.
- Article type
- Non–peer-reviewed grey literature.
- Secondary literature, such as reviews and meta-analyses.
- Opinion articles, theses, dissertations, book chapters, protocols, and editorials.
- Language, date, and availability
- Articles published before 2000.
- Non-English articles.
- Articles for which the full text is not available.
Information Sources and Search Strategy
On January 31, 2022, a preliminary limited search of the PubMed database was conducted to identify relevant articles and keywords. On July 31, 2023, an updated search was conducted in the PubMed, Web of Science, Education Resource Information Center, and Scopus databases for studies published from January 1, 2000, onward. The search was limited to the English language. Search terms included the concepts of e-learning, public health, and health science education and evaluation, frameworks, and tools using “text word searching,” which involves searching for a word or phrase appearing anywhere in the document using Boolean operators and truncations (Table S1 in
).Study Selection and Screening
The identified records will be imported into Rayyan [
] to streamline the screening process. Duplicates will be removed before titles and abstracts are reviewed independently by 2 authors for the inclusion criteria. We will use the standard PRISMA flow diagram to provide the study selection process. The articles included in the review must report the use of evaluation or assessment for e-learning training within the specified inclusion criteria for the population, topics, and level of education. After initial review, the reviewers will go through the complete text and apply the inclusion criteria.Data Extraction and Data Items
Data from eligible studies will be extracted by 2 reviewers. The following data will be extracted and charted from each paper: (1) descriptive data of the included study profile, (2) study characteristics data, (3) e-learning and technology characteristics, and (4) the study outcome, including evaluation framework, evaluation methods, and evaluation tools (Table S2 in
). The data extraction tool will be tested and may be adjusted and amended during the process, and any changes will be documented in the final report. The summary table will improve transparency and reproducibility by showing what types of data were extracted from which studies.Analysis
The data will be synthesized using structured, descriptive, quantitative, and qualitative content analysis of the main themes and an overview will be provided for the current scope of the literature. In addition, the research team will analyze findings regarding the studies’ overall purpose and evaluate the implications for future research, practice, and policy.
Ethical Considerations
No ethical board approval is necessary to conduct this scoping review.
Results
Targeted searches were conducted in January 2022 to inform the development of a comprehensive search strategy for electronic database searches. This strategy was iteratively developed for and tested in PubMed. Iterative refinements to the scoping review protocol and formalization of the methods were completed by July 2022 and updated on July 31, 2023. The final search was conducted in the PubMed, Scopus, Education Resource Information Center, and Web of Science databases. The initial database searches revealed 980 studies. The database searches were completed in August 2022, duplicates were removed, and title and abstract screening of 805 extracted articles is currently underway. Study selection, data extraction and analysis, and drafting of the manuscript to report the results of the scoping review will be conducted throughout 2023. Any changes to the methods reported here will be documented and reported. The PRISMA flowchart will be used to describe the research selection procedure (
), and the scoping review’s findings relevant to the study objectives will be presented.Discussion
Expected Findings
Comprehensive multifaceted evaluation of e-learning in the context of public health and global health training is essential to make an evidence-based decision about the future investment in health workforce capacity building. This scoping review is expected to identify existing evaluation frameworks and tools for evaluating public health e-learning.
To the best of our knowledge, this will be the first systematic scoping review to address public and global health as a growing field of medical education. While previously published reviews did not focus on medical education [
] or were limited in scope [ - ], this study will identify the theoretical framework, methods, and domains commonly used in the evaluation of public and global health e-learning. Thus, the study will underline the existing gaps in the scope and practice of e-learning evaluation.A previous systematic review for e-learning evaluation identified 8 themes [
]. Most of these studies focused on only one or two aspects. Moreover, the representation of evaluation themes varied among different disciplines, technologies, and educational levels. Some of these themes were applied more than others, while others were underrepresented [ ]. Still, previous reviews lacked or underrepresented information about public health and global health education [ ]. Moreover, the proliferation of e-learning and related literature in the past few years necessitates reviewing the current status of the literature in the field. In addition, previous systematic reviews revealed that educational theories and theoretical learning frameworks rarely guided e-learning evaluation, raising concerns about the quality and validity of training evaluation.Strengths and Limitations
The review will adhere to a robust methodology following the recommended standards for conducting scoping reviews [
, ] that allows transparency and replicability.The limitations of scoping reviews, which also apply to this review, will be noted. The literature search was applied to 4 relevant search engines. Due to limited time and resources, the search was restricted to English and peer-reviewed articles. Hence, some articles may be missed from the review. Since the scoping review aims to understand the status of evaluating e-learning rather than measuring effectiveness, we will not use a quality appraisal or bias assessment for the included studies.
Future Directions
The lack of comprehensive and robust guidance on e-learning evaluation is an obstacle for educators to ensure the quality and accountability of public health e-learning [
, ]. Hence, the results of this review will allow public health and medical educators to understand how public health e-learning is being evaluated from theoretical and practical points of view. The discussion will reflect on the current status of e-learning evaluation in public health education and compare the findings to the existing body of knowledge. Moreover, the results can guide the development of an evidence-based, field-specific, multifaceted, integrated model for e-learning evaluation and recommend the most appropriate evaluation methods, and tools, as well as domains to be evaluated.Conclusion
In conclusion, this review will enhance our knowledge about the current practice of e-learning evaluation in global and public health education. The findings will inform the development of a comprehensive field-specific evaluation framework and tools, with the ultimate aim of improving the quality and accountability of global and public health e-learning.
Data Availability
All data generated or analyzed during this study are included in or alongside this article.
Conflicts of Interest
None declared.
Supporting information regarding the search strategy and data items for extracting information from eligible articles.
DOC File , 66 KBReferences
- Barteit S, Guzek D, Jahn A, Bärnighausen T, Jorge MM, Neuhann F. Evaluation of e-learning for medical education in low- and middle-income countries: a systematic review. Comput Educ. Feb 2020;145:103726. [FREE Full text] [CrossRef] [Medline]
- World Health Organization. Digital education for building health workforce capacity. Geneva.; 2020. URL: https://iris.who.int/bitstream/handle/10665/331524/9789240000476-eng.pdf?sequence=1
- Ruggeri K, Farrington C, Brayne C. A global model for effective use and evaluation of e-learning in health. Telemed J E Health. Apr 2013;19(4):312-321. [FREE Full text] [CrossRef] [Medline]
- Frenk J, Chen L, Bhutta ZA, Cohen J, Crisp N, Evans T, et al. Health professionals for a new century: transforming education to strengthen health systems in an interdependent world. Lancet. Dec 04, 2010;376(9756):1923-1958. [CrossRef] [Medline]
- Electronic Learning Thesaurus. The Education Resources Information Center (ERIC). 2008. URL: https://eric.ed.gov/?qt=electronic+learning&ti=Electronic+Learning
- Car J, Carlstedt-Duke J, Tudor Car L, Posadzki P, Whiting P, Zary N, et al. Digital education in health professions: the need for overarching evidence synthesis. J Med Internet Res. Feb 14, 2019;21(2):e12913. [FREE Full text] [CrossRef] [Medline]
- Bezhovski Z, Poorani S. The evolution of e-learning and new trends. Inf Knowl Manag. 2011;6(3):50-57. [FREE Full text]
- López-Belmonte J, Segura-Robles A, Moreno-Guerrero A, Parra-González ME. Projection of e-learning in higher education: a study of its scientific production in Web of Science. Eur J Investig Health Psychol Educ. Jan 10, 2021;11(1):20-32. [FREE Full text] [CrossRef] [Medline]
- Regmi K, Jones L. Effect of e-learning on health sciences education: a protocol for systematic review and meta-analysis. Higher Education Pedagogies. Feb 24, 2021;6(1):22-36. [CrossRef]
- Kim S. The future of E-Learning in medical education: current trend and future opportunity. J Educ Eval Health Prof. 2006;3:3. [FREE Full text] [CrossRef] [Medline]
- Cook DA, Levinson AJ, Garside S, Dupras DM, Erwin PJ, Montori VM. Internet-based learning in the health professions: a meta-analysis. JAMA. Sep 10, 2008;300(10):1181-1196. [CrossRef] [Medline]
- Caron RM. Teaching epidemiology in the digital age: considerations for academicians and their students. Ann Epidemiol. Sep 2013;23(9):576-579. [CrossRef] [Medline]
- Sweileh WM. Global research activity on e-learning in health sciences education: a bibliometric analysis. Med Sci Educ. Apr 2021;31(2):765-775. [FREE Full text] [CrossRef] [Medline]
- Bond M, Bedenlier S, Marín VI, Händel M. Emergency remote teaching in higher education: mapping the first global online semester. Int J Educ Technol High Educ. 2021;18(1):50. [FREE Full text] [CrossRef] [Medline]
- Almaiah MA, Ayouni S, Hajjej F, Lutfi A, Almomani O, Awad AB. Smart mobile learning success model for higher educational institutions in the context of the COVID-19 pandemic. Electronics. Apr 18, 2022;11(8):1278. [CrossRef]
- Chee Meng Tham; Werner JM. Designing and evaluating e-learning in higher education: A review and recommendations. Journal of Leadership & Organizational Studies. Sep 15, 2005;11(2):15-25. [CrossRef]
- Naciri A, Radid M, Kharbach A, Chemsi G. E-learning in health professions education during the COVID-19 pandemic: a systematic review. J Educ Eval Health Prof. 2021;18:27. [FREE Full text] [CrossRef] [Medline]
- Williams E, Fernandes RD, Choi K, Fasola L, Zevin B. Learning outcomes and educational effectiveness of e-learning as a continuing professional development intervention for practicing surgeons and proceduralists: a systematic review. J Surg Educ. Aug 2023;80(8):1139-1149. [CrossRef] [Medline]
- Kimura R, Matsunaga M, Barroga E, Hayashi N. Asynchronous e-learning with technology-enabled and enhanced training for continuing education of nurses: a scoping review. BMC Med Educ. Jul 13, 2023;23(1):505. [FREE Full text] [CrossRef] [Medline]
- Vaona A, Rigon G, Kwag KH, Cereda D, Pecoraro V, Moja L, et al. E‐learning for health professionals. Cochrane Database Syst Rev. 2015:CD011736. [CrossRef]
- Kirkwood A, Price L. Technology-enhanced learning and teaching in higher education: what is ‘enhanced’ and how do we know? A critical literature review. Learn Media Technol. Feb 20, 2014;39(1):6-36. [CrossRef]
- Urbina J, Monks SM. Validating assessment tools in simulation. StatPearls [Internet]. 2023 [Medline]
- Bajpai S, Semwal M, Bajpai R, Car J, Ho AHY. Health professions' digital education: review of learning theories in randomized controlled trials by the digital health education collaboration. J Med Internet Res. Mar 12, 2019;21(3):e12912. [FREE Full text] [CrossRef] [Medline]
- Orchard J, Winch C. What training do teachers need?: Why theory is necessary to good teaching. Impact. Oct 13, 2015;2015(22):1-43. [CrossRef]
- Sandars J, Patel RS, Goh PS, Kokatailo PK, Lafferty N. The importance of educational theories for facilitating learning when using technology in medical education. Medical Teacher. Mar 17, 2015;37(11):1039-1042. [CrossRef] [Medline]
- Fontaine G, Cossette S, Maheu-Cadotte M, Mailhot T, Deschênes MF, Mathieu-Dupuis G, et al. Efficacy of adaptive e-learning for health professionals and students: a systematic review and meta-analysis. BMJ Open. Aug 28, 2019;9(8):e025252. [FREE Full text] [CrossRef] [Medline]
- Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. Oct 02, 2018;169(7):467-473. [FREE Full text] [CrossRef] [Medline]
- Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan-a web and mobile app for systematic reviews. Syst Rev. Dec 05, 2016;5(1):210. [FREE Full text] [CrossRef] [Medline]
- Lai JW, Bower M. How is the use of technology in education evaluated? A systematic review. Comput Educ. May 2019;133:27-42. [CrossRef]
- de Leeuw R, de Soet A, van der Horst S, Walsh K, Westerman M, Scheele F. How we evaluate postgraduate medical e-learning: systematic review. JMIR Med Educ. Apr 05, 2019;5(1):e13128. [FREE Full text] [CrossRef] [Medline]
- Stemp JD, Ghosh D, Khan UR, Boyd JH. The role of evaluation methods in health-related e-learning: a rapid review. Online Learn J. Dec 01, 2022;26(4):369-398. [CrossRef]
- Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. Feb 2005;8(1):19-32. [CrossRef]
- Lai JWM, De Nobile J, Bower M, Breyer Y. Comprehensive evaluation of the use of technology in education - validation with a cohort of global open online learners. Educ Inf Technol (Dordr). 2022;27(7):9877-9911. [FREE Full text] [CrossRef] [Medline]
Abbreviations
PICO: Population, Intervention, Comparison, and Outcome |
PRISMA-ScR: Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews |
Edited by A Mavragani; submitted 14.06.23; peer-reviewed by SQ Yoong, V Curran; comments to author 26.07.23; revised version received 01.08.23; accepted 02.08.23; published 24.10.23.
Copyright©Awsan Bahattab, Michel Hanna, George Teo Voicescu, Ives Hubloue, Francesco Della Corte, Luca Ragazzoni. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 24.10.2023.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.