Introduction: Type 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.

Methods: We 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.

Results: 1991 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.

Discussion: MOOCs 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.

Download full-text PDF

Source
http://dx.doi.org/10.1136/bmjinnov-2020-000526DOI Listing

Publication Analysis

Top Keywords

type diabetes
16
diabetes self-management
12
self-management education
12
massive open
8
open online
8
course
8
online course
8
covid-19 pandemic
8
diabetes
5
self-management
5

Similar Publications

Perivascular adipose tissue: a central player in the triad of diabetes, obesity, and cardiovascular health.

Cardiovasc Diabetol

December 2024

Institute of Physiology, iCBR, Faculty of Medicine, University of Coimbra, Subunit 1, polo 3, Azinhaga de Santa Comba, Celas, 3000-548, Coimbra, Portugal.

Perivascular adipose tissue (PVAT) is a dynamic tissue that affects vascular function and cardiovascular health. The connection between PVAT, the immune system, obesity, and vascular disease is complex and plays a pivotal role in the pathogenesis of vascular diseases such as atherosclerosis, hypertension, and vascular inflammation. In cardiometabolic diseases, PVAT becomes a significant source of proflammatory adipokines, leading to increased infiltration of immune cells, in cardiometabolic diseases, PVAT becomes a significant source of proinflammatory adipokines, leading to increased infiltration of immune cells, promoting vascular smooth muscle cell proliferation and migrationpromoting vascular smooth muscle cell proliferation and migration.

View Article and Find Full Text PDF

Background: Experimental and clinical studies have suggested that symbiotics might effectively manage type 2 diabetes mellitus (T2DM) by modulating the intestinal microbiota. However, these studies' limited sources, small sample sizes, and varied study designs have led to inconsistent outcomes regarding glycaemic control. This study aimed to investigate the effects of symbiotics on the anthropometric measures, glycaemic control, and lipid profiles of patients with T2DM.

View Article and Find Full Text PDF

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BMC Public Health

December 2024

Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

View Article and Find Full Text PDF

Status of type 1 diabetes mellitus prevention: promises and realities.

Endocrinol Diabetes Nutr (Engl Ed)

December 2024

Servicio de Endocrinologia i Nutrició, Hospital Universitari Arnau de Vilanova, Lleida, Spain; Institut de Recerca Biomèdica de Lleida (IRB Lleida), Universitat de Lleida, Lleida, Spain.

View Article and Find Full Text PDF

Introduction: The transition of adolescents from pediatric to adult hospitals is a planned and guided process that involves changes in the focus, style, and location of care. During this period, complications are common in those with type 1 diabetes mellitus (T1DM). The objective of this study was to understand the influence of a nurse-led structured therapeutic education program on maintaining glycemic control and emotional wellbeing in these adolescents.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!