The future of diabetes education

Wake, Deborah

doi:10.1002/pdi.2245

Cited by 4 publications

(5 citation statements)

References 15 publications

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“…Page 6 of 31 MDMW takes a subset of data from primary and secondary care, including key diabetes indicators (HbA1c, blood pressure (BP), body mass index (BMI)), as well as eye and foot screening results, medication and clinical correspondence. The platform provides users access to these records, as well as advice and resources (information, structured education and videos) tailored to each user through data characteristics and the implementation of rules and algorithms 11 . Additionally, users can manually enter home-recorded data (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…The platform provides users access to these records, as well as advice and resources (information, structured education, and videos) tailored to each user through data characteristics and the implementation of rules and algorithms. 11 Additionally, users can manually enter home-recorded data (eg, weight, blood pressure, blood glucose), and set their own health and lifestyle goals. Data and resources are presented via a series of user-friendly menus, data visualizations and explanations.…”

Section: Introductionmentioning

confidence: 99%

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A Longitudinal Perspective on User Uptake of an Electronic Personal Health Record for Diabetes, With Respect To Patient Demographics

Conway

Bluett

Shields

et al. 2021

J Diabetes Sci Technol

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Introduction: The growing prevalence of diabetes has increased the need for scalable technologies to improve outcomes. My Diabetes My Way (MDMW) is an electronic personal health record (ePHR) available to all people with diabetes in Scotland since 2010, associated with improved clinical outcomes among users. MDMW pulls data from a national clinician-facing informatics platform and provides self-management and educational information. This study aims to describe MDMW user demographics through time with respect to the national diabetes population, with a view to addressing potential health inequalities. Methods: Aggregate data were obtained retrospectively from the MDMW database and annual Scottish Diabetes Survey (SDS) from 2010 to 2020. Variables included diabetes type, sex, age, socioeconomic status, ethnicity, and glycemic control. Prevalence of MDMW uptake was calculated using corresponding SDS data as denominators. Comparisons between years and demographic sub-groups were made using Chi- Squared tests. Results: Overall uptake of MDMW has steadily increased since implementation. By 2020, of all people with T1D or T2D in Scotland, 13% were fully enrolled to MDMW (39,881/312,326). There was proportionately greater numbers of users in younger, more affluent demographic groups (with a clear social gradient) with better glycemic control. As uptake has increased through time, so too has the observed gaps between different demographic sub-groups. Conclusions: The large number of MDMW users is encouraging, but remains a minority of people with diabetes in Scotland. There is a risk that innovations like MDMW can widen health inequalities and it is incumbent upon healthcare providers to identify strategies to prevent this.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Longitudinal Perspective on User Uptake of an Electronic Personal Health Record for Diabetes, With Respect To Patient Demographics

Conway

Bluett

Shields

et al. 2021

J Diabetes Sci Technol

Self Cite

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“…MOOCs aimed at patient education are available via platforms such as FutureLearn.com or Coursera.org, yet often are developed for healthcare professional consumption. Some authors have found when evaluating MOOCs aimed at healthcare professionals that patients contribute a large proportion of their audience, 24 suggesting patients are interested in this medium of education delivery.…”

Section: Discussionmentioning

confidence: 99%

Massive open online course for type 2 diabetes self-management: adapting education in the COVID-19 era

Mackenzie

Cumming²,

Garrell³

et al. 2020

BMJ Innov

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IntroductionType 2 diabetes self-management education is an essential component of type 2 diabetes care that is traditionally delivered in a face-to-face setting. In response to the recent COVID-19 pandemic, innovative solutions are urgently needed, allowing provision of self-management education that can be delivered in compliance with social distancing policies. Innovations that are self-service and can deliver education efficiently at low cost are particularly appealing to healthcare providers and commissioners.MethodsWe aimed to evaluate user uptake, dropout, acceptability, satisfaction, perceived short-term knowledge gain and health benefits/behaviour changes in relation to a free massive open online course (MOOC) in diabetes self-management education, created and delivered during the COVID-19 pandemic. This course, focusing on addressing knowledge and self-management needs for people with type 2 diabetes, made use of online interactive content including expert and patient videos, quizzes, moderated discussion boards and live social media that encouraged personal reflection and goal setting. User expectations and experiences were explored via survey-based methods. Here, we present our experience of developing the course and describe users’ experiences.Results1991 users registered interest in the course over a 2-week period, with 976 users starting the course and 640 (65.6%) users completing the course in full. Users engaged well, finding the course educational, user-friendly and motivating, demonstrating high completion rates and user satisfaction. A statistically significant (p<0.001) increase in self-reported self-management ability and health knowledge was observed among participants with type 2 diabetes.DiscussionMOOCs in type 2 diabetes self-management education have great potential for delivering education efficiently at scale and low cost. Although engagement can be limited by digital literacy, benefits include flexible and remote access to up-to-date, evidence-based education delivered by a multidisciplinary team of healthcare professionals.

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“…The platform provides users access to these records, as well as to advice and resources (information, structured education and videos, curated web links) tailored to each user through data characteristics and the implementation of rules and algorithms. 17 Users can view their retrospective data through history graphs (Figure 1). A bullseye-style 'target chart' (Figure 2) displays key diabetes indicators, encouraging the user to bring their HbA 1c , BP, BMI and cholesterol into the central green region.…”

Section: Introductionmentioning

confidence: 99%

“…MDMW takes a subset of data from primary and secondary care, including key diabetes indicators (HbA 1c , blood pressure [BP] and body mass index [BMI]), eye and foot screening results, medications and clinical correspondence. The platform provides users access to these records, as well as to advice and resources (information, structured education and videos, curated web links) tailored to each user through data characteristics and the implementation of rules and algorithms 17 …”

Section: Introductionmentioning

confidence: 99%

Continuing the quality improvement of an electronic personal health record and interactive website for people with diabetes in Scotland (My Diabetes My Way)

et al. 2023

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The future of diabetes education

Cited by 4 publications

References 15 publications

A Longitudinal Perspective on User Uptake of an Electronic Personal Health Record for Diabetes, With Respect To Patient Demographics

A Longitudinal Perspective on User Uptake of an Electronic Personal Health Record for Diabetes, With Respect To Patient Demographics

Massive open online course for type 2 diabetes self-management: adapting education in the COVID-19 era

Continuing the quality improvement of an electronic personal health record and interactive website for people with diabetes in Scotland (My Diabetes My Way)

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