- Research article
- Open Access
- Open Peer Review
An integrative review of e-learning in the delivery of self-management support training for health professionals
BMC Medical Educationvolume 17, Article number: 183 (2017)
E-learning involves delivery of education through Information and Communication Technology (ITC) using a wide variety of instructional designs, including synchronous and asynchronous formats. It can be as effective as face-to-face training for many aspects of health professional training. There are, however, particular practices and skills needed in providing patient self-management support, such as partnering with patients in goal-setting, which may challenge conventional practice norms. E-learning for the delivery of self-management support (SMS) continuing education to existing health professionals is a relatively new and growing area with limited studies identifying features associated with best acquisition of skills in self-management support.
An integrative literature review examined what is known about e-learning for self-management support. This review included both qualitative and quantitative studies that focused on e-learning provided to existing health professionals for their continuing professional development. Papers were limited to those published in English between 2006 and 2016. Content analysis was used to organize and focus and describe the findings.
The search returned 1505 articles, with most subsequently excluded based on their title or abstract. Fifty-two full text articles were obtained and checked, with 42 excluded because they did not meet the full criteria. Ten peer-reviewed articles were included in this review. Seven main themes emerged from the content analysis: participants and professions; time; package content; guiding theoretical framework; outcome measures; learning features or formats; and learning barriers. These themes revealed substantial heterogeneity in instructional design and other elements of e-learning applied to SMS, indicating that there is still much to understand about how best to deliver e-learning for SMS skills development.
Few e-learning approaches meet the need for high levels of interactivity, reflection, practice and application to practice for health professionals learning to deliver effective SMS. Findings suggest that the context of SMS for patients with chronic condition matters to how health professional training is delivered, to ensure partnership and person-centred care. Further creative approaches and their rigorous evaluation are needed to deliver completely online learning in this space. Blended learning that combines e-learning and face-to-face methods is suggested to support SMS skills development for health professionals.
Health professional training has received much attention in the literature. Ongoing training is an expected part of meeting current registration and continuing professional development requirements for health professionals to support quality care and system improvement efforts. This training takes many forms depending on the workforce, the setting, available resources, service and system requirements, and the changing needs of patients, amongst other factors. The current healthcare landscape is one in which more traditional face-to-face forms of professional development training for health professionals are rapidly being supplemented or replaced with e-learning options using web-based technologies. E-learning is now seen as an integral method of learning for many health professionals; however, more understanding is needed about which formats are likely to best meet the learning outcomes needed for particular contexts, including the provision of self-management support for patients with chronic conditions.
E-learning involves the delivery of education through Information and Communication Technology (ITC) using a wide variety of instructional designs and formats, and includes synchronous and asynchronous delivery [1,2,3]. It is often used synonymously with terms such as ‘internet-based learning’, ‘online learning’, ‘computer-assisted learning’ and ‘web-based learning’. There is significant diversity in what constitutes e-learning; it can include multi-media, CD-ROMs, webinars, virtual patients, web-based tutorials, interactive online modules with embedded quizzes, and discussion boards. A meta-analysis by Cook et al.  stressed that central to the definition is the use of the Internet and the computer to deliver information and interact directly with the learner; to replace, in part or completely, the human instructor. Sinclair et al.  provides a more detailed discussion of the definition, also stressing the importance of distinguishing between synchronous and asynchronous e-learning in order to more rigorously compare and measure outcomes of different instructional designs and formats. Synchronous e-learning is often mediated by human interaction between the learning and instructor using ITC and/or between learners who use ITC to interact and learn from each other in real time. In contrast, asynchronous e-learning involved more self-directed learning; it can occur at any time and place determined by the learner, and does not rely on a human facilitator being present.
E-learning versus face-to-face learning
Central to the growing interest in e-learning as an alternative to traditional face-to-face learning formats is understanding how these formats impact the learner; how the learning experience may be similar or different. For example, a discussion involving nurses  found no difference in social and motivational maintenance preferences or study strategies; however, information processing habits differed with online learners showing significant differences in reflective observation and abstract conceptualization, and face-to-face learners being more likely to learn by doing. A US study with 20 nurse practitioners/nurse specialists comparing e-learning and simulation  found that participants preferred simulation, likely because the emphasis was on the direct translation of knowledge to practice, rather than knowledge for its own sake  (p.7). A systematic review of 19 qualitative studies about healthcare professionals’ experience of e-learning  found the key themes for effective learning were: peer communication, flexibility, support (informal from peers and from instructors), knowledge validation (being tested on what they had learned to consolidate knowledge, incentive to study), course presentation and design features, and use of real world case studies and resources that engaged them visually. A meta-analysis by Cook et al.  comparing e-learning with no intervention and non-internet delivered learning found large position effects of e-learning on knowledge outcomes, skills, behaviours and patient outcomes compared with no intervention, but these effects were heterogeneous and small when e-learning was compared with more traditional non-internet delivered learning. To understand these outcomes better, Cook et al.  then conducted a systematic review and meta-analysis of studies using quantitative measures to compare different types of e-learning concluding that interactivity, practice sessions, repetition and feedback were key features of e-learning associated with improved learning outcomes. A more recent review of randomized controlled trials  investigating the impact of e-learning on health professionals’ behaviour found mixed outcomes depending on the skills being taught and the approach to learning used. Firm conclusions were hampered by heterogeneity in instructional design and quality across the reviewed studies.
Many advantages of asynchronous e-learning have been noted in the literature, including its flexibility and the capacity for learning to be self-paced and traceable, catering to different learning styles, and enabling the learner to review as they need to, as well as e-learning’s capacity to overcome resource issues such as time and travel costs, and classroom-learner-staff availability issues [4, 7,8,9,10,11,12]. Mahmud et al., for example, argued that e-learning is more engaging than face-to-face and learners are more satisfied with it because it is more interactive and also because of design, navigation and ease of access . A US evaluation of an e-learning case simulation library for nurses in aged care found that it was useful because it enabled learners to apply the cases to diverse clinical contexts . Additionally a Japanese study comparing e-learning and face-to-face learning with 93 nurses  found that both groups demonstrated the same learning outcomes, but that the web group had three distinct differences. There was a lower dropout rate and greater flexibility, the online learning was attractive and affordable to a wider range of nurses, and was especially suited to independent and self-directed learners including those who were stronger in writing skills than in classroom discussion. Additionally, a systematic review of e-learning for nurses noted that the anonymity that it afforded to learners gave some greater confidence to reflect on and mediate their contributions to online discussions . E-learning has also been promoted to meet the educational needs of rurally-based health professionals and their patients, as the tyranny of distance can isolate health professionals and make the option of face-to-face education difficult and often non-viable .
There are also many disadvantages of e-learning noted in the literature, including the need for increased responsibility and self-discipline to sustain motivation, concerns that those with poor study habits might fall behind, experience learner isolation and lack peer interaction to support learning, lack immediate support from teachers when questions/problems arise within an asynchronous context, and that standardized content could limit the ability for adaptations. It is worth noting that technology is intimidating for those with more limited technical skills, unreliable internet/technical access or platform instability potentially disrupting learning. Additionally, there may be distractions for the learner in the home environment where much e-learning takes place, and there may be significant upfront costs for those developing e-learning content [7, 9,10,11,12, 14, 18,19,20].
However, each of these reported advantages and disadvantages of e-learning must be understood in the context of significant heterogeneity of instructional designs and formats. This calls into question the extent to which firm conclusions can be drawn about the effectiveness of e-learning compared to more traditional approaches or blended learning as noted previously [1, 3].
Several studies have suggested that the context for e-learning matters. Shaikh et al., for example, have argued that e-learning, “needs to be used for the right task…not as a panacea for all medical education”  (p.710). E-learning might be useful for helping learners ascertain their level of knowledge and to reinforce and update existing learning; whereas, face-to-face learning might provide greater opportunities for discussion, debate and practicing skills. Hence, how and where content is delivered is important, and balancing the two is recommended . Context might be important in other ways. For example, an Australian study examining 68 metro and rural nurse practitioners’ preferences for e-learning education  found that metro nurses had better access to high-speed internet than rural nurses (see also ). A UK study that surveyed 100 doctors about choice and approach to learning  found younger doctors who were high users of technology and more recently graduated appeared to have a deeper approach to learning with web-based approaches (see also ); however, they found no differences between gender, or metro/rural location. The wide diversity of how e-learning is delivered appears to be at the heart of problems with determining which types of instructional design and formats suit which contexts [2, 3].
Many studies have also been limited by the quality of their evaluation of the impact of e-learning; few studies have measured the impact of professional development on quality of care [25, 26]. A recent systematic review found no studies of sufficient quality that reported on effectiveness of e-learning on patient outcomes . Many studies have focused on measuring learners’ satisfaction [27, 28]), perceived knowledge acquisition , perceived intention to change their practice , or self-reported practice change [22, 31, 32]. In summary, however, perceived intention or knowledge acquisition are at the lower end of evaluation and e-learning, if it is to maintain its relevance, should move towards more objective and rigorous evaluation methods [2, 3].
E-learning and health professionals’ provision of chronic condition self-management support to patients
As healthcare delivery relies heavily on the quality of engagement and interactions with patients, particular arguments are warranted for how person-centred health professional training should be delivered. In particular, there is a lack of research on solely web-based technologies to train health professionals in chronic condition self-management support . This paper aims to investigate the available evidence for the effectiveness of e-learning applied to the acquisition of the necessary knowledge, skills and attitudes of health professionals to effectively support self-management by patients with chronic and complex conditions. We begin by defining key terms and then provide a review of the literature on e-learning, generally, for health professionals.
Self-management is defined as what patients with chronic conditions do by taking action to cope with the impacts of their conditions [34, 35] There is growing evidence that patient self-management is effective at improving their emotional wellbeing, self-efficacy and changes to health behaviours . However, patients’ competencies and confidence in self-managing health problems may be limited and may benefit from self-management support (SMS) provided by others (eg. services, health professionals, family, friends, carers) . Historically, SMS was initially defined as educational and supportive interventions provided by health professions to systematically help chronically ill patients best meet their physical, social and emotional needs in long-term self-care management . It includes provision of education and information to improve health literacy, practical support and also support with problem-solving, motivation and goal-setting and goal achievement. More recently, this definition has been broadened to recognize the more holistic support that is often also present from other service providers and service types, and from family and friends . In the United States, patients have stated their desire for SMS, with this identified as a priority area for quality improvement, and added to national healthcare quality indicators [33, 37]. Effective SMS requires a balanced multi-modal approach including patient education and collaborative decision-making in order to achieve mutually acceptable self-management goals . A review of more than 550 studies  showed that SMS by health professionals improved patients’ quality of life, symptoms and use of healthcare services (see also ).
To provide SMS, health professionals require effective training and education to facilitate their knowledge of supportive resources, collaborative skills to work within a multidisciplinary team, communication skills, better understanding of patients’ strengths and challenges, and insight into how living with chronic conditions could affect the patients’ quality of life . However, many studies have found that a large percentage of health professionals lack confidence, feel inadequately prepared or lack training materials to implement SMS in their routine practice . In Australia, SMS has been difficult to implement within general practice due to high patient volume and time constraints within that setting .
Most SMS occurs within primary healthcare settings such as General Practice (with care primarily delivered by GPs and nurses) or within Community Health Centres and Community Aged Care Services (with care primarily delivered by nurses, a broad range of allied health professionals, and support workers). For health professionals in these settings, a key focus is support for patients with chronic conditions; however, it is suggested that GPs, for example, might not prioritise SMS skills or be familiar with SMS principles, especially motivational interviewing, despite behaviour change skills being identified in chronic condition management guidelines as core skills for GPs .
Working with patients with chronic and complex health conditions requires particular skills and experience, including highly developed communication and person-centered care skills to facilitate engagement and behavior change, and to work with multi-morbidity. This is likely to mean that training provided to these health professionals is done best using formats that maximize the uptake of these skills; ones that involve significant experiential learning, practice, critical reflection and feedback. Labeau, for example, has argued that e-learning might be less appropriate when the goal is for learners to acquire complex emotional skills , such as those required when providing patient-centred care to engage patients with complex chronic care needs in behaviour change to enhance self-management capacity. Recognising this concern, others have proposed the power of storytelling as a teaching and learning strategy within e-learning instructional design to engage learners emotionally and promote deep rather than surface learning [17, 43].
Although the evidence for the effectiveness of e-learning is growing, it is unclear which e-learning instructional designs and formats are best for teaching the depth of skills needed to work with patients with chronic and complex care needs. This literature review was undertaken with this particular lens in mind.
An integrative review method was adopted for this literature review, which was conducted at the end of January 2016. This method is broad and is distinguished from other approaches such as systematic reviews, meta-analysis and meta-synthesis because it allows for the researcher to combine data from disparate empirical and theoretical research approaches . It involves four main stages: problem identification; literature search; data evaluation; and data analysis. Applied to this literature review, each of these stages involved the following:
The problem to be addressed by the literature review
The use of e-learning is now widespread for training and education of health professionals; however, there is a lack of clarity about which e-learning formats and approaches are more or less effective for teaching health professionals chronic conditions self-management support skills and why this might be so.
A review of the following electronic databases was undertaken: Ovid Medline, Cumulative Index of Nursing and Allied Health Literature (CINAHL), PubMed, Scopus, Proquest, ScienceDirect, Web of Science, Informit and Education Resources Information Centre (ERIC). The search was based on an analysis of possible key text words and index terms used to describe e-learning in the context of SMS and health professionals. Test searches were conducted using identified keywords and index terms. Keyword combinations included: self-management support, self-care support, self-management support skills, self-administration support, self-monitor support, online learning, e-learning, web-based education, blended learning, computer-assisted education, continuing professional development, health professionals, health occupations, allied health personnel, community health workers, occupational therapy, physical therapy, speech-language pathology, medicine, nursing, pharmacy, specialty, podiatry, psychology, medical, nutritionists, physical therapists, and licensed practical nurses.
Inclusion and exclusion criteria are outlined in Table 1 below:
The second author undertook an initial assessment of the relevance of the papers that were identified by the initial search on the basis of information contained in their title and abstract (n = 1505). After removal of duplicates, 52 papers were potentially relevant. The second author then accessed the full text of these papers and reviewed their contents for overall fit with the inclusion criteria. As part of this process, they undertook a further search of the reference sections of these papers to identify other research that may have been missed by the initial search process. Where there was doubt about a paper’s relevance (for example, clarity around what constitutes chronic condition self-management and SMS), they concurred with the other authors to seek clarification on the assessment criteria. A final assessment of relevance was undertaken by the three researchers. They read each potentially relevant research paper and then came together to discuss and reach consensus about papers that fully met the inclusion criteria (n = 10), excluding those papers that did not meet these criteria.
All papers included in the study were categorised into qualitative, quantitative and mixed methods research, and therefore were separately reviewed using different critical appraisal tools to perform a broad assessment of their quality. To support this critical appraisal, the Joanna Briggs Institute (JBI) QARI critical appraisal checklist for interpretive and critical research [45, 46] was used to appraise qualitative papers; the JBI QARI critical appraisal checklist for experimental studies [45, 46] was used to appraise quantitative studies; and the scoring system developed by Pluye et al.  for appraising mixed methods research was used to appraise mixed methods papers. The appraisal process was conducted by the research team who met to discuss and concur on the final appraisal scoring for each paper within each respective checklist. We did not set minimum quality threshold criteria, as our aim was to identify any relevant studies, regardless of their quality. This decision enabled us to show the full range of quality of e-learning studies in the SMS field, even very poor quality studies, to demonstrate the gaps in quality and need for more rigorous research in this area.
A summative content analysis [48, 49] was undertaken by the authors to determine a range of tentative themes from across the included papers; that is, we used a deductive rather than inductive approach. We met to determine tentative theme areas of interest, upfront, and then independently reviewed the studies in order to explore usage, aligned with these areas of interest; known as manifest content analysis. The research team then met to discuss these themes for parsimony, resolving any disagreement through discussion and consensus between at least two of the three authors, and final themes were determined. We then undertook preliminary interpretation of the manifest data; known as latent content analysis, though this was limited by the diversity and small number of identified studies.
Ten peer reviewed research papers were identified from the review process. Details of the studies, and their aim, sample, methods, major findings and general strengths and limitations are provided in Table 2 below.
Five of the 10 studies used qualitative methods. Qualitative research presents more subjectivity than quantitative research as qualitative approaches are established on diverse understandings of knowledge. Also, how the researchers interpret the data can influence the intervention results and the generation of study findings. For this reason, critical appraisal should focus on the congruity between study method, data representation and results interpretation. The JBI QARI Critical Appraisal Checklist  addressed each of these areas of concern. Table 3 provides the 10 questions that comprise this checklist and an assessment of the five qualitative studies against this checklist.
Three of the 10 studies used quantitative methods. Their appraisal (see Table 4 below) indicates that none of the three studies met all of the appraisal tool criteria. The description of whether the treatment allocation was blinded to participants was absent in all three studies. Table 4 provides the 11 questions that comprise this JBI QARI checklist for quantitative research and an assessment of the three quantitative studies against this checklist.
Two of the 10 studies used mixed methods. Table 5 (see below) provides the checklist of 15 questions designed to concomitantly appraise the methodological quality of qualitative, quantitative and mixed methods. The study by Bosnic-Anticevich et al. met all the appraisal criteria , while the quantitative experimental part of the study by Yank et al. was presented with insufficient description .
Results of content analysis
Seven main themes were derived from the content analysis. These are outlined in Table 6. Studies involved a diverse range of health professionals, including medical, nursing and allied health professionals (theme 1), matching all those professionals that are important for delivering SMS. Online learning timeframes were of varying length (theme 2). The contents of online learning packages were also varied and covered a broad range of important SMS capabilities [34, 35] including problem-solving, action planning, motivational interviewing, and goal setting (theme 3). Seven of the 10 studies noted a guiding theoretical framework to underpin the rationale for how the training was delivered and its foci. The Theory of Planned Behaviour was noted by two studies [51, 52] and psychology-based theories of behaviour change support appeared to underpin most training (theme 4). Surveys and semi-structured interviews were the main form of evaluation of learning and these focused on broad and more immediate subjective outcomes such as satisfaction, perceived intention to change practice, and perceived change to practice; that is, a comprehensive, multi-lens evaluation of longer-term impact of the e-learning on practice was not evident from the studies. Of note, five studies reported measuring patient outcomes, though the rigor of these measures was unclear  (theme 5). Several instructional design features or formats were identified and these reflected the desire to make the e-learning as engaging and interactive as possible , and readily linked to real-world practice (theme 6). All 10 studies identified a range of barriers to e-learning that were also applicable to online learning in general (theme 7); though few solutions to these barriers were proffered.
Returning to the aim of this integrative review, the results show that the evidence remains unclear about which e-learning styles and formats are best for teaching the depth and range of skills needed for health professionals to work with patients with chronic and complex care needs to support their self-management of their chronic conditions. Apparent from these studies is that context is important. Although e-learning has many benefits generally that are also applicable to health professionals involved in the delivery of SMS, completely online delivery of learning within this context poses some problems, with limitations on the scope and types of SMS capabilities that can be taught exclusively and effectively using this format. In particular, practice and application opportunities, and time for reflection built into the learning process were identified as important components for learning about SMS.
Blended learning was valued; that is, combining online learning components with face-to-face learning and practice within real-world practice contexts that also provided opportunities within the safety of the seminar or workshop learning space for reflection with peers, exchange of ideas, and feedback from patients, where available. The participants in Welch et al.’s evaluation of online motivational interviewing training – a commonly addressed curriculum topic in SMS training - stressed the importance of subsequent practice and reflection in the work context following the learning activity, as critical to reinforce skills . The authors argued that there is insufficient evidence to identify an optimal approach to motivational interviewing training, though a classroom format followed by simulated or real-life scenarios is commonly expressed in the literature. Newton et al... found that a hybrid approach was preferred, using a combination of online and face-to-face learning for motivational interviewing – the former providing conceptual knowledge of the required skills and the latter providing the opportunity to practice these skills . Bosnic-Anticevich et al’s study comparing three models of delivery of training to staff in General Practice Networks in Australia to support patient asthma medication use (face-to-face standard, online, and face-to-face interprofessional education) found that technique demonstration was challenging for participants in the online format and therefore did a follow-up interaction with learners to address this . Ruiz et al. supported the use of computer-based training in conjunction with face-to-face training to improve effectiveness and efficiency of education for the long-term care workforce . These results demonstrated that, for some chronic conditions, some aspects of learning still require face-to-face delivery to demonstrate and practice SMS skills.
These aspects of learning about SMS were perceived as difficult to create within a completely online learning space. High levels of creativity in the use of discussion boards, audio-visual resources, and other online teaching tools would be needed to replicate the depth of learning suggested by the evaluation of these studies. Reasons for this may go to the very heart of the definitions of self-management by the patient and SMS by health professionals because person-centred care is the fundamental underlying philosophical stance involved here, and knowing whether we are working in a person-centred way can only ultimately come from the feedback we receive from patients. This is arguably the most powerful learning tool within the SMS learning space. For example, LeRoy et al.’s environmental scan of SMS learning resources found that 17% were interactive web-based tools and 13% were videos (eg. of motivational interviewing); however, most were print materials, in English . They developed three brief videos to illustrate ‘what, why and how’ to do SMS. When they tested these with health professionals, they found that more videos of patient interactions were needed because they were deemed by participants as the most compelling methods to foster their learning.
Sassen et al. appear to have understood this need for practical, ‘real world’ examples of worker/patient interactions and tried to overcome it because their study of online learning to support decision-making and self-management attempted to actively bring both health professionals (nurses and physiotherapists) and their patients into the online learning space. They did this through a series of four short modules completed together, aiming to integrate the clinical care provision space and the learning space . Their results were quite mixed and ultimately showed poor uptake of this intervention, with less than half of intervention participants using the online modules, and no differences in behaviours and intentions found between them and the control group who did not undertake the online learning. The way the information was presented was proposed as the reason for this study’s low participation and high dropout. The quality of web-based materials and their ease of use across varied learner populations, with differing technological experience and access, present significant challenges in creating SMS resources.
Interactivity also appeared to be a particular importance to learning for SMS, and has been noted for e-learning and face-to-face learning, generally [2, 50]. For example, McLeod et al’s study of web-based Interprofessional Psychosocial Oncology continuing education, found that a web-based platform with real-time seminars, discussion boards and multiple audio visual resources that privilege first person illness narratives were important elements in expanding knowledge and changing attitudes about interprofessional practice and person-centred care . Ladhani et al’s study of online modules with use of role-play found that it encouraged distributed participation . A Canadian study of online inter-professional education modules  concluded that there needed to be dedicated time and space for e-learning in the work environment, and that e-learning needed to be integrated with existing professional development activities and opportunities for learners to practice the skills learned online. In their discussion paper on best practices for learning with technology, Pilcher & Bradley stressed the importance of interactivity during the learning process, problem-solving, application to prior knowledge and experience, reflection, and also multiple senses stimulation as important for the development of higher order thinking . They argued that, “Interactivity is the key. Participants must interact with the content to retain knowledge and apply it in the work setting” (p.133; see also ). They noted the emerging science of ‘brain-based learning’, that is, design that recognizes difference between working memory and long-term memory storage and the types of learning activity design used.
A systematic review of 72 studies of e-learning in medical education by Lewis et al.  made a number of recommendations to improve the rigor of e-learning. These included: well-defined goals and objectives determined by a clear understanding and assessment of learners’ needs; careful consideration of situational factors such as learner characteristics, resources and infrastructure, sustainability, and alignment with other educational programs; rigorous evaluation of effectiveness built into the design of the e-learning activity from its inception; it should be based on sound pedagogy to enhance and ensure critical thinking and reflection skills, use cutting edge technologies, and accommodate different learning styles, needs and preferences .
The findings of this present review were consistent with Lewis et al’s previous review  in that they confirmed a number of known practical benefits of e-learning which were again linked to the profession, context and purpose of the learning, and which SMS capabilities they were designed to teach. For example, Newton et al’s study with GP registrars relied on self-directed learning, with e-learning activities designed to enable short learning sessions of 20 min or less, tailored to the preferences of this professional group . Alternatively, Heartfield et al. designed online modules targeted primarily at GPs which have been predominantly accessed by nurses working within the General Practice setting . The modules are each up to 6 h duration with the functionality to save progress, providing learners with the opportunity to repeatedly re-enter the online site to complete the modules, i.e. stop and start learning. Allowing learners to “go back and forth, double check and pick up where [they] left off” was highly rated  (p.289). The flexibility afforded by e-learning was valued in the General Practice context where time constraints were of particular concern and it is recognized that learners in that setting would usually complete the modules outside of working hours. Participants also valued the flexible, self-directed ability of e-learning, and importance of authentic scenarios. Bowler’s study involving community matron nurses undertaking online training in SMS found that this format was useful to reinforce existing skills rather than learn new skills . Ruiz et al.’s study of e-learning for nursing home/aged care staff in Alzheimer’s disease care noted the lack of qualified trainers and time and financial pressures associated with releasing staff for training meant that e-learning offered potential solutions . Of the nursing participants, 92% were experienced computer users. The seven modules were relatively short (20–30 min each), with a clear format that included an introduction, identification of issues and potential solutions, with a practical exercise to finish (a true/false quiz). Although they did not measure impact (only knowledge, self-efficacy, attitudes/satisfaction and intention to use in practice), they found significant improvement in self-efficacy and attitudes towards care, and satisfaction with the e-learning format; it seemed to suit this workforce and context well (busy people on the run). A rich multi-media and high level of interactivity was also important.
The profession, the context and the target of learning have been shown to be important in existing studies of health professionals and e-learning. For example, a Dutch study with vascular surgeons  found that they valued the interactivity and videos of techniques, in particular, and expressed a strong interest in blended learning workshops involving preparatory modules followed by a face-to-face workshop practical session for teaching and practicing techniques. A US study  of online mandated modules for medical staff to comply with facilities’ requirements is an example of the type of learning that involves compliance and monitoring sign-off of completion for bureaucratic purposes that is suited to online format (see also [64, 65]). A study conducted in developing countries for 98 nurses learning about newborn care  found that online combined with hands-on skill enhancement was acceptable and useful and significantly increased their knowledge and skills. Whereas, a UK study of online training in psychological treatments with 183 therapists found that this professional group had little interest in connecting with others online; they were very individual learners who wanted detailed information of how to implement treatments and preferred a ‘human’ host, not an avatar . Alternatively, a Canadian study on adapting online learning for Aboriginal Public Health Workers  found that employer support was important for recruitment and retention, as well as use of office equipment and work time, and supervisors showing genuine interest and flexibility. A UK study of 60 healthcare professionals undertaking online learning about patient safety  found that the sensitivity of the topic and culture of organizations was a highly debated topic in the discussion boards. Each of these examples points to the importance of authenticity of learning materials to the context in which learning is applied to practice [70, 71].
Other considerations from the broader literature on e-learning are likely helpful to consider for further research in this area. For example, Shaw et al... have proposed a Knowledge-Process-Practice model to guide the educational design of online postgraduate medical education and stressed the importance of applying underlying educational theory to that design, to ensure behaviourist (stimulus and response learning) and cognitivist (perception and the mental transfer of meaning) requirements are met within the content of e-learning materials . Wheeler et al’s study with community pharmacy staff and mental health consumers and carers offers a comprehensive series of intervention mapping steps for development and evaluation that show promise for the development of SMS e-learning . Shaikh et al.  and Smith  provide useful discussion of the types of learning styles to consider when developing e-learning, drawing on theory developed by Kolb. Smith’s study with 217 nurses found that all four styles (accommodators, assimilators, convergers and divergers) were represented across their sample, though a larger proportion were accommodators; that is, more likely to, “desire hands-on experiences, carry out plans and tasks and using an intuitive trial-and-error approach to problem solving”  (p.49).
Lister provides useful tips for effective design of online modules . Although these ideas were not applied specifically to health professions, a number of core qualities of value to health professionals are apparent. These qualities include: ensuring variety of formats to offer choice and engage people with different learning styles; authenticity and reflection to promote coherence and meaningfulness and sustain interest in the learning activity; and built-in learner self-assessment activities to enable immediate feedback, review, higher order thinking and promote successful learning. Likewise, Twigg’s work on blended learning is also worth considering here  (see also ). Twigg outlined 4 models for structuring e-learning and face-to-face learning options: the Supplemental Model maintains traditional course structures supplemented by e-learning resources and activities; the Replacement Model substitutes some face-to-face contacts with e-learning activities and communication; the Emporium Model replaces formal lectures with e-learning resources to foster enquiry-based learning strategies; and the Buffet Model allows learners to graze through a range of learning environments and activities.
A final consideration is worth noting. Wheeler et al. argued that rigor in determining the content upfront with end-users is important for SMS education . They chose experiential learning techniques with consumer and carer narratives to challenge pharmacists’ held beliefs and attitudes; that is, they, “employed emotional and affective pathways to understanding rather than solely utilizing traditional didactic techniques”  (p.262). This approach prompts the question of whether SMS is an area that requires this form of learning to challenge cultural attitudes about health professional expertise and promote deeper learning [17, 43]. Given a central tenet of chronic condition self-management is partnership and that patients and health professionals have expertise to bring to the interaction, such an approach is likely to be warranted. The broad literature on the benefits of consumer involvement in healthcare research, education and practice is well established and would therefore strongly support this recommendation [77, 78].
The development of e-learning options for the delivery of SMS continuing education to health professionals is a relatively new and growing area, as shown by the limited number of studies identified by this review. There is still much to understand about how best to deliver e-learning in this space. This paper has identified a number of areas that warrant further investigation and suggested that the context of SMS for patients with chronic condition matters to how learning is delivered, to ensure partnership and person-centred care. Further creative approaches and their rigorous evaluation are needed to deliver completely online learning in this space. For now, few e-learning approaches appear to overcome the high levels of interactivity, reflection, practice and application to practice that are needed to learn how to deliver effective SMS to these patients. Blended learning, combining online and face-to-face components, is suggested as the best way forward to overcome these needs.
Joanna Briggs Institute
Cook DA, Levinson AJ, Garside S, Dupras DM, Erwin PJ, Montori VM. Internet-based learning in the health professions. JAMA. 2008;300(10):1181–96.
Cook DA, Levinson AJ, Garside S, Dupras DM, Erwin PJ, Montori VM. Instructional design variations in internet-based learning for health professions education: a systematic review and meta-analysis. Acad Med. 2010;85(5):909–22.
Sinclair PM, Kable A, Levett-Jones T, Booth D. The effectiveness of internet-based e-learning on clinican behaviour and patient outcomes: a systematic review. Int J Nurs Stud. 2016;57:70–81.
McCord L, McCord W. Online learning: getting comfortable in the cyber class. Teach Learn Nurs. 2010;5:27–32.
Corbridge SJ, Robinson FP, Tiffen J, Corbridge TC. Online learning versus simulation for teaching principles of mechanical ventilation to nurse practitioner students. Int J Nurs Educ Scholarsh. 2010;7:Article12.
Carroll C, Booth A, Papaioannou D, Sutton A, Wong R. UK health-care professionals’ experience of on-line learning techniques: a systematic review of qualitative data. J Contin Educ Heal Prof. 2009;29:235–41.
Chiu Y-L, Tsai C-C, Fan Chiang C-Y. The relationships among nurses’ job characteristics and attitudes toward web-based continuing learning. Nurs Educ Today. 2013;33:327–33.
Du Z, Fu X, Zhao C, Liu Q, Liu T. Interactive and collaborative e-learning platform with integrated social software and learning management system. In: Lu W, Cai G, Liu W, Berlin XW, editors. Proceedings of the 2012 International Conference on Information Technology and Software Engineering: Software Engineering & Digital Media Technology. Heidelberg: Springer Berlin Heidelberg; 2013. p. 11–8.
Labeau SO. Is there a place for e-learning in infection prevention? Aust Crit Care. 2013;26:167–72.
McVeigh H. Factors influencing the utilisation of e-learning in post-registration nursing students. Nurs Educ Today. 2009;29:91–9.
Shaikh WR, Geller A, Alexander G, Asgari MM, Chanange GJ, Dusza S, Eide MJ, Fletcher SW, Goulart JM, Halpern AC, et al. Developing an interactive web-based learning program on skin cancer: the learning experiences of clinical educators. J Cancer Educ. 2012;27:709–16.
Yu S, Chen I-J, Yang K-F, Wang T-F, Yen L-L. A feasibility study on the adoption of e-learning for public health nurse continuing education in Taiwan. Nurs Educ Today. 2007;27:755–61.
Mahmud K, Gope K. Challenges of implementing e-learning for higher education in least developed countries: a case study on Bangladesh. In: 2009 international conference on information and multimedia technology. Jeju Island: IEEE; 2009. p. 155–9.
Kowlowitz V, Palmer MH, Davenport CS. Development and dissemination of web-based clinical simulations for continuing geriatric nursing education. J Gerontol Nurs. 2009;35:37–43.
Horiuchi S, Yaju Y, Koyo M, Sakyo Y, Nakayama K. Evaluation of a web-based graduate continuing nursing education program in Japan: a randomized controlled trial. Nurs Educ Today. 2009;29:140–9.
Glogowska M, Young P, Lockyer L, Moule P. How ‘blended’ is blended learning?: Students’ perceptions of issues around the integration of online and face-to-face learning in a continuing professional development (CPD) health care context. Nurs Educ Today. 2011;31:887–91.
Paliadelis P, Stupans I, Parker V, Piper D, Gillan P, Lea J, Jarrott HM, Wilson R, Hudson J, Fagan A. The development and evaluation of online stories to enhance clinical learning experiences across health professions in rural Australia. Collegian. 2015;22(4):397–403.
Lockyer L, Bennett S, Agostinho S, Harper B. Handbook of research on learning design and learning objects: issues, applications, and technologies (2 volumes). Hershey: IGI Global; 2009.
Lewis, K.O., Cidon, M.J., Seto, T.L., Chen, H., Mahan, J.D. Leveraging e-Learning in Medical Education. Pediatri Adolescent Health Care. 2014;44(6):150-63
Millery M, Hall M, Eisman J, Murrman M. Using innovative instructional technology to meet training needs in public health: a design process. Health Promot Pract. 2014;15:39S–47S.
Newman C, Buckley T, Dunn S, Cashin A. Preferences for continuing education through existing electronic access for Australian Nurse Practitioners and its implication in prescribing potential. Collegian. 2009;16:79–83.
Curran VR, Fleet L, Kirby F. Factors influencing rural health care professionals’ access to continuing professional education. Aust J Rural Health. 2006;14:51–5.
Sandars J, Walsh K, Homer M. High users of online continuing medical education: a questionnaire survey of choice and approach to learning. Med Teach. 2010;32:83–5.
Gresty K, Skirton H, Evenden A. Addressing the issue of e-learning and online genetics for health professionals. Nurs Health Sci. 2007;9:14–22.
Phillips R, McNaught C, Kennedy G. Evaluating e-learning: guiding research and practice. New York: Taylor & Francis; 2012.
Stout JW, Smith K, Zhou C, Solomon C, Dozor AJ, Garrison MM, Mangione-Smith R. Learning from a distance: effectiveness of online spirometry training in improving asthma care. Acad Pediatr. 2012;12:88–95.
McCarthy JW, Smith JL, DeLuca D. Using online discussion boards with large and small groups to enhance learning of assistive technology. J Comput High Educ. 2010;22:95–113.
Kenefick HW, Ravid S, MacVarish K, Tsoi J, Weill K, Faye E, Fidler A. On your time : online training for the public health workforce. Health Promot Pract. 2014;15:48S–55S.
Pelayo M, Cebrián D, Areosa A, Agra Y, Izquierdo JV, Buendía F. Effects of online palliative care training on knowledge, attitude and satisfaction of primary care physicians. BMC Fam Pract. 2011;12:1–11.
Robson J. Web-based learning strategies in combination with published guidelines to change practice of primary care professionals. Br J Gen Pract. 2009;59:104–9.
Markova A, Weinstock MA, Risica P, Kirtania U, Shaikh WR, Ombao H, Chambers CV, Kabongo ML, Kallail KJ, Post D. Effect of a web-based curriculum on primary care practice: basic skin cancer triage trial. Fam Med. 2013;45:558–68.
Cottrell S, Donaldson JH. Exploring the opinions of registered nurses working in a clinical transfusion environment on the contribution of e-learning to personal learning and clinical practice: results of a small scale educational research study. Nurs Educ Pract. 2013;13:221–7.
Yank V, Laurent D, Plant K, Lorig K. Web-based self-management support training for health professionals: a pilot study. Patient Educ Couns. 2013;90:29–37.
Battersby M, Lawn S. Capabilities for supporting prevention and chronic condition self-management: a resource for educators of primary health care professionals. Flinders University, Bedford Park, SA: Flinders Human Behaviour and Health Research Unit; 2009.
Lorig KR, Holman HR. Self-management education: history, definition, outcomes, and mechanisms. Ann Behav Med. 2003;26:1–7.
Brady T, Murphy L, Beauchesne D, Bhalakia A, Chervin D, Daniels B, Greenberg M, House M, O'Colmain B. Sorting through the evidence of the arthritis self-management and chronic disease self-management programs. Centers for Disease Control and Prevention; 2011. http://www.cdc.gov/arthritis/docs/ASMP-executive-summary.pdf
Adams K, Corrigan JM. Priority areas for national action: transforming health care quality. Washington, DC: National Academies Press; 2003.
Bodenheimer T, MacGregor K, Sharifi C. Helping patients manage their chronic conditions. Oakland: California HealthCare Foundation; 2005.
de Silva D. Evidence: helping people help themselves. London: Health Foundation; 2011.
Pacific Business Group on Health. Expanding performance measurement to include Patients’ experience of self-management support. Oaklands: California Health Care Foundation; 2009. http://www.chcf.org/publications/2009/07/expanding-performance-measurement-to-include-patients-experience-of-selfmanagement-support
Cheffins TE, Twomey JA, Grant JA, Larkins SL. An evaluation of the self-management support capacity of providers of chronic condition primary care. Aust J Prim Health. 2012;18:112–5.
Newton JM, Falkingham L, Clearihan L. Better knowledge, better health: piloting an education intervention in chronic condition self-management support. Aust J Prim Health. 2011;17:4–9.
Haigh C, Hardy P. Tell me a story- a conceptual exploration of storytelling in healthcare education. Nurs Educ Today. 2011;31:408–11.
Whittemore R, Knafl K. The integrative review: updated methodology. J Adv Nurs. 2005;52:546–53.
The Joanna Briggs Institute. Critical appraisal tools. 2017. http://joannabriggs.org/research/critical-appraisal-tools.html
Pearson A, Field J, Jordan Z: Appendix 2: critical appraisal tools. In Evidence-based clinical practice in nursing and health care. Oxford: Blackwell Publishing Ltd.; 2009: 177-182.
Pluye P, Gagnon M-P, Griffiths F, Johnson-Lafleur J. A scoring system for appraising mixed methods research, and concomitantly appraising qualitative, quantitative and mixed methods primary studies in mixed studies reviews. Int J Nurs Stud. 2009;46:529–46.
Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15:1277–88.
Elo S, Kyngas H. The qualitative content analysis process. JAN. 2008;62(1):107–15.
Forsetlund L, Bjorndal A, Rashidian A, Jamtvedt G, O’Brien MA, Wolf F, Davis D, Odgaard-Jensen J, Oxman AD. Continuing education meetings and workshops: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2009;2:CD003030.
Welch J. Building a foundation for brief motivational interviewing: communication to promote health literacy and behavior change. J Contin Educ Nurs. 2014;45:566–72.
Sassen B, Kok G, Schepers J, Vanhees L. Supporting health care professionals to improve the processes of shared decision making and self-management in a web-based intervention: randomized controlled trial. J Med Internet Res. 2014;16:e211.
Bosnic-Anticevich SZ, Stuart M, Mackson J, Cvetkovski B, Sainsbury E, Armour C, Mavritsakis S, Mendrela G, Travers-Mason P, Williamson M. Development and evaluation of an innovative model of inter-professional education focused on asthma medication use. BMC Med Educ. 2014;14:1–10.
Ruiz JG, Mintzer MJ, Leipzig RM. The impact of e-learning in medical education. Acad Med. 2006;81:207–12.
LeRoy L, Shoemaker SJ, Levin JS, Weschler CA, Schaefer J, Genevro JL. Self-management support resources for nurse practitioners and clinical teams. J Nurse Pract. 2014;10:88–93.
McLeod D, Curran J, Dumont S, White M, Charles G. The Interprofessional Psychosocial Oncology Distance Education (IPODE) project: perceived outcomes of an approach to healthcare professional education. J Interprof Care. 2014;28:254–9.
Ladhani Z, Chhatwal J, Vyas R, Iqbal M, Tan C, Diserens D. Online role-playing for faculty development. Clin Teach. 2011;8:31–6.
Luke R, Solomon P, Baptiste S, Hall P, Orchard C, Rukholm E, Carter L. Online interprofessional health sciences education: from theory to practice. J Contin Educ Heal Prof. 2009;29:161–7.
Pilcher J, Bradley DA. Best practices for learning with technology. J Nurses Prof Dev. 2013;29:133–7.
Heartfield M, Morello A, Harris M, Lawn S, Pols V, Stapleton C, Battersby M. E-learning competency for practice nurses: an evaluation report. Aust J Prim Health. 2013;19:287–91.
Bowler M. Training staff to empower people with long-term conditions to undertake self care activities. Nurs Times. 2010;106:14–6.
Mâtheiken SJ, Verstegen D, Beard J, van der Vleuten C. E-learning resources for vascular surgeons: a needs analysis study. J Surg Educ. 2012;69:477–82.
Ribner BS, Hall C, Steinberg JP, Bornstein WA, Beasley K, Duffell JM, De Gennaro M, Garner D. A web-based program to ensure compliance of medical staff providers with mandated health care facility requirements. Am J Infect Control. 2011;39:511–4.
Atack L, Luke R. Improving infection control competency through an online learning course. Nurs Times. 2009;105:30–2.
O'Leary FM. Paediatric resuscitation training: is e-learning the answer? A before and after pilot study. J Paediatr Child Health. 2012;48:529–33.
Thukral A, Sasi A, Chawla D, Datta P, Wahid S, Rao S, Kannan V, Veeragandam A, Murki S, Deorari AK. Online Neonatal Training and Orientation Programme in India (ONTOP-IN)—the way forward for distance education in developing countries. J Trop Pediatr. 2012;58:486–90.
Helgadottir FD, Fairburn CG. Web-centred training in psychological treatments: a study of therapist preferences. Behav Res Ther. 2014;52:61–3.
Bell M, MacDougall K. Adapting online learning for Canada's northern public health workforce. Int J Circumpolar Health. 2013;72:21345.
Evans AM, Ellis G, Norman S, Luke K. Patient safety education: a description and evaluation of an international, interdisciplinary e-learning programme. Nurs Educ Today. 2014;34:248–51.
Smith GG, Passmore D, Faught T. The challenges of online nursing education. Internet High Educ. 2009;12:98–103.
Young KJ, Kim JJ, Yeung G, Sit C, Tobe SW. Physician preferences for accredited online continuing medical education. J Contin Educ Heal Prof. 2011;31:241–6.
Shaw T, Barnet S, McGregor D, Avery J. Using the Knowledge, Process, Practice (KPP) model for driving the design and development of online postgraduate medical education. Med Teach. 2015;37:53–8.
Smith A. Learning styles of registered nurses enrolled in an online nursing program. J Prof Nurs. 2010;26:49–53.
Lister M. Trends in the design of e-learning and online learning. JOLT. 2014;10:671–9.
Twigg C. Improving learning and reducing costs: new models for on-line learning. Educause Rev Mag. 2003;38:29–38.
Wakefield AB, Carlisle C, Hall AG, Attree MJ. The expectations and experiences of blended learning approaches to patient safety education. Nurse Educ Pract. 2008;8:54–61.
Lawn S. What researchers think of involving consumers in health research. 2016.
Gidman G. Listening to stories: valuing knowledge from patient experience. Nurs Educ Pract. 2013;13(3):192–6.
Wheeler A, Fowler J, Hattingh L. Using an intervention mapping framework to develop an online mental health continuing education program for pharmacy staff. J Contin Educ Heal Prof. 2013;33:258–66.
Côté F, Gagnon J, Houme PK, Abdeljelil AB, Gagnon MP. Using the theory of planned behavior to predict nurses’ intention to integrate research evidence into clinical decision-making. J Adv Nurs. 2012;68:2289–2298.
Spollen JJ, Thrush CR, Mui D, Woods MB, Tariq SG, Hicks E. A randomized controlled trial of behavior change counseling education for medical students. Med Teach. 2010;32:e170–e177.
Rogers EM. Diffusion of innovations (5th ed.). New York, NY: Free Press. 2003.
This work was supported by a Summer Scholarship granted by the Faculty of Medicine, Nursing and Health Sciences at Flinders University.
Availability of data and materials
As this was a review, there was no participant data. All materials associated with this review have been provided.
Ethics approval and consent to participate
As this was a review, ethics approval was not sought.
Consent for publication
As this was a review and did not involve actual participants, consent for publication was not relevant.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.