A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes
Abstract
Digital health interventions have potential to contribute to better health outcomes, better healthcare and lower costs. However, evidence for their effectiveness is variable. The development and content of digital health interventions are often not described in enough detail to enable others to replicate the research or improve on previous interventions. This has led to a call for transparent reporting of intervention content and development. To describe the development process and content of a digital self-management intervention for people with type 2 diabetes (HeLP-Diabetes) that has been found to achieve its target clinical outcome, the reduction of HbA1c, a measure of glycaemic control. We synthesised theory, data from existing research evidence and international guidelines, and new qualitative data from target users to identify the determinants of self-management and the content to be included in HeLP-Diabetes. Using an ongoing iterative participatory design approach the content of the intervention was written, produced, reviewed and changed. It is possible to develop and transparently report self-management programmes for long-term conditions, which reflect current best evidence, theoretical underpinning and user involve...Continue Reading
References
Evolving guidelines for publication of qualitative research studies in psychology and related fields
Quality criteria under methodological pluralism: implications for conducting and evaluating research
Citations
Use of the TIDieR checklist to describe an online structured education programme for type 2 diabetes
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Biomarkers for Type 2 Diabetes
Biomarkers can help understand chronic diseases and assist in risk prediction for prevention and early detection of diseases. Here is the latest research on biomarkers in type 2 diabetes, a disease in which the body is unable to produce or properly use insulin.