Education at Scale: Improvements in Type 1 Diabetes Self‐management Following a Massive Open Online Course

Diabetic MedicineVolume 39, Issue 8 e14842 LETTEROpen Access Education at scale: Improvements in type 1 diabetes self-management following a massive open online course Scott C. Mackenzie, Corresponding Author Scott C. Mackenzie [email protected] orcid.org/0000-0001-5823-4334 School of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK MyWay Digital Health, Dundee, UK Correspondence Scott C Mackenzie, School of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK. Email: [email protected]Search for more papers by this authorKirsten M. Cumming, Kirsten M. Cumming MyWay Digital Health, Dundee, UKSearch for more papers by this authorSalma Mehar, Salma Mehar MyWay Digital Health, Dundee, UK NHS North West London Collaboration of Clinical Commissioning Groups, London, UKSearch for more papers by this authorLyn Wilson, Lyn Wilson NHS Lanarkshire, Lanark, Scotland, UKSearch for more papers by this authorScott G. Cunningham, Scott G. Cunningham orcid.org/0000-0003-0861-8676 Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UKSearch for more papers by this authorAlex Bickerton, Alex Bickerton Dept Diabetes & Endocrinology, Yeovil District Hospital NHS Foundation Trust, Yeovil, UKSearch for more papers by this authorDeborah J. Wake, Deborah J. Wake orcid.org/0000-0003-4376-6973 Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK Edinburgh Centre for Endocrinology and Diabetes, NHS Lothian, Edinburgh, UKSearch for more papers by this author Scott C. Mackenzie, Corresponding Author Scott C. Mackenzie [email protected] orcid.org/0000-0001-5823-4334 School of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK MyWay Digital Health, Dundee, UK Correspondence Scott C Mackenzie, School of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK. Email: [email protected]Search for more papers by this authorKirsten M. Cumming, Kirsten M. Cumming MyWay Digital Health, Dundee, UKSearch for more papers by this authorSalma Mehar, Salma Mehar MyWay Digital Health, Dundee, UK NHS North West London Collaboration of Clinical Commissioning Groups, London, UKSearch for more papers by this authorLyn Wilson, Lyn Wilson NHS Lanarkshire, Lanark, Scotland, UKSearch for more papers by this authorScott G. Cunningham, Scott G. Cunningham orcid.org/0000-0003-0861-8676 Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UKSearch for more papers by this authorAlex Bickerton, Alex Bickerton Dept Diabetes & Endocrinology, Yeovil District Hospital NHS Foundation Trust, Yeovil, UKSearch for more papers by this authorDeborah J. Wake, Deborah J. Wake orcid.org/0000-0003-4376-6973 Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK Edinburgh Centre for Endocrinology and Diabetes, NHS Lothian, Edinburgh, UKSearch for more papers by this author First published: 15 April 2022 https://doi.org/10.1111/dme.14842Citations: 1AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Dear Editor, Self-management is key in type 1 diabetes (T1D) care to optimise glycaemic control, reduce diabetes complications and improve quality of life.1 For people with T1D, long-term self-management can be challenging and require multidisciplinary support. In the United Kingdom, provision of diabetes self-management education (DSME) is typically delivered face-to-face, although significant regional variation exists. Barriers to attendance at DSME are complex and opportunities for re-intervention after initial invitation are often limited.2 Furthermore, through social distancing and healthcare restructuring, COVID-19 has resulted in a substantial reduction in face-to-face DSME offered. eLearning is a growing area in T1D care, offering a flexible and low-cost intervention aiming to increase reach through improved accessibility. Massive open online courses (MOOCs) are an example of eLearning where a cohort simultaneously progress through structured educational material. Through discussion boards and livestreams, MOOCs can provide a social space moderated by healthcare professionals for learners to ask questions, share experiences and benefit from peer-support. Additionally, interspersed quizzes can facilitate self-assessment of incremental knowledge gained. MOOCs for DSME have previously been well received in a diverse type 2 diabetes cohort, associated with sustained improvements in self-reported health knowledge and self-management ability.3, 4 We developed and delivered an MOOC in type 1 DSME and herein report user experience and 3-month follow-up. An MOOC in type 1 DSME was developed and delivered over a 2-day period in 2021. The course was developed by MyWay Digital Health Ltd./NHS Diabetes Programme, accredited by the Quality Institute for Self-Management Education and Training,5 and advertised widely through social media and email. Content was freely available and consistent with existing structured education topics, featuring multimedia resources and daily social media livestream question and answer sessions. See Appendix S1 for course outline and Figure 1 for user interface. User experience was established among consenting participants via integrated pre-course, post-course and 3-month follow-up surveys. Paired survey responses were analysed using a Wilcoxon signed-rank sum test and user demographics were compared with course-completion status using a chi-squared test. FIGURE 1Open in figure viewerPowerPoint Render of screenshot displaying user interface. Right-side menu displays course structure. Mock created using MockUPhone Course and follow-up completion data are presented in Table 1. Among users who provided pre-course demographic data (n = 897), most were people with T1D (51.4%), with family members/carers (26.6%) and healthcare professionals (16.9%) comprising much of the remaining cohort. Among users with T1D, 65.0% were aged 35–64, 68.6% were female, 95% lived in the United Kingdom and 93% identified as white. There was a range of time since diagnosis, and 58% had engaged with structured diabetes education before (87% face-to-face; 35% online). Users with T1D were less likely to complete the MOOC compared to users without T1D (p < 0.0001). Age, gender and previous DSME engagement were not associated with course completion status among users with T1D. TABLE 1. Course and follow-up survey completion data Users who registered for the MOOC (n) 1682 Users who started the MOOC (n) 1161 Users who completed Day 1 (n) 592 Users who completed MOOC (n) 551 (47.5% completion rate for course starters) Users who consented to follow-up (n) 991 Users who completed follow-up (n) 242 (24.4% response rate) Note Abbreviation: MOOC; massive open online course. Users found the course useful, easy to use and motivating (see Figure 2). In the pre-course, post-course and follow-up survey, users with T1D were asked to self-assess their self-management ability and health knowledge through agreeability to the statements I manage my diabetes well and I know enough about my health. Comparing pre- and post-course responses, median response improved in the post-course survey from neutral to agree for both statements (n = 131, p < 0.0001 for both statements), and this improvement was sustained at 3 months (n = 50, p < 0.003 for both statements). FIGURE 2Open in figure viewerPowerPoint Summary of responses (n = 156-551) from post-course survey. Conditional logic was applied to display questions relevant to each user 56.3% (n = 36/64) of course-completers with T1D at follow-up had made a change to the way they managed their diabetes following the course, with 69.2% (n = 45/65) agreeing the course improved their self-management confidence and motivation. Furthermore, course-completers with T1D were asked at follow-up if they felt taking part in the course had helped to reduce the frequency and/or severity of hypoglycaemia, of which 36.9% (n = 24/65) felt it did. 86.6% (n = 194/224) of respondents at follow-up agreed that they would benefit from taking part in further online DSME. Users found an MOOC for type 1 DSME useful and motivational, demonstrating positive user experience and a satisfactory retention rate, associated with improvements in self-reported self-management ability and health knowledge sustained at 3 months. eHealth interventions show dropout rates of up to 80%,6 and some authors suggest expecting a 50% dropout rate among web-based DSME.7 A goal of the MOOC was to improve accessibility of DSME; given this MOOC was the first episode of structured DSME engagement for 42% of pre-course survey respondents, we feel this was achieved. As the COVID-19 pandemic endures, remote interventions are of clear value to minimise viral transmission. MOOCs in DSME benefit from the active online diabetes community8 yet mitigate misinformation risk through real-time healthcare professional moderation. Through their openness, MOOCs broaden the user base to which education is available. DSME traditionally serves mostly to educate the individual with diabetes, however as evidenced by the substantial proportion of course users who did not have diabetes and higher MOOC completion rates among this cohort, a significant and unmet demand for open DSME exists. Furthermore, the rapid pace of technological development in diabetes care necessitates regular DSME to optimise care, something which existing UK-based DSME initiatives seldom provide. However, accessing those who may need DSME most remains a challenge. User demographics show a predominantly white and middle-aged audience with limited international reach. Self-management is a critical indicator of diabetes outcomes, and MOOCs through their low-cost, high-throughput mechanism have potential for high cost-effectiveness which can be clarified once true impact (e.g., glycaemic control) is quantified. Although not a universal solution, we feel MOOCs represent an important step in providing open and accessible education to empower individuals to improve their diabetes self-management. CONFLICT OF INTEREST SCM, KMC, and SGC are employees of MWDH. DJW and SGC are cofounders and shareholders of MWDH. Funding Information This work was funded by MyWay Digital Health (MWDH) Ltd. Supporting Information Filename Description dme14842-sup-0001-Appendix1.docxWord 2007 document , 15.2 KB Supplementary Material Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. REFERENCES 1Greenwood DA, Gee PM, Fatkin KJ, Peeples M. A systematic review of reviews evaluating technology-enabled diabetes self-management education and support. J Diabet Sci Technol. 2017; 11(5): 1015- 1027. 2Harris S, Miller A, Amiel S, Mulnier H. Characterization of adults with type 1 diabetes not attending self-management education courses: the barriers to uptake of type 1 diabetes education (BUD1E) study. Qual Health Res. 2019; 29(8): 1174- 1185. 3Mackenzie SC, Cumming KM, Garrell D, et al. Massive open online course for type 2 diabetes self-management: adapting education in the COVID-19 era. BMJ Innovations. 2021; 7(1): 141- 147. 4Mackenzie SC, Cumming KM, Garrell D, et al. Follow-up of a massive open online course in type 2 diabetes self-management education. J Diabet Sci Technol. 2021; 15(4): 976- 977. 10.1177/1932296821997178 5 QISMET (Quality Institute for Self-Management Education and Training). Accreditation Register. [Internet] Available online: https://www.qismet.org.uk/accreditation/accreditation-register/ (accessed Mar 11 2022) 6Lie SS, Karlsen B, Oord ER, Graue M, Oftedal B. Dropout from an eHealth intervention for adults with type 2 diabetes: a qualitative study. J Med Internet Res. 2017; 19(5):e7479. 7Wangberg S, Bergmo T, Johnsen JAK. Adherence in internet-based interventions. Patient Prefer Adh. 2008; 2: 57- 65. 8Litchman ML, Edelman LS, Donaldson GW. Effect of diabetes online community engagement on health indicators: cross-sectional study. JMIR Diabet. 2018; 3(2):e8603. Citing Literature Volume39, Issue8August 2022e14842 FiguresReferencesRelatedInformation