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A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes

BACKGROUND: 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 ot...

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Detalles Bibliográficos
Autores principales: Dack, Charlotte, Ross, Jamie, Stevenson, Fiona, Pal, Kingshuk, Gubert, Elsa, Michie, Susan, Yardley, Lucy, Barnard, Maria, May, Carl, Farmer, Andrew, Wood, Bindie, Murray, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660456/
https://www.ncbi.nlm.nih.gov/pubmed/31372349
http://dx.doi.org/10.1016/j.invent.2019.100241
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author Dack, Charlotte
Ross, Jamie
Stevenson, Fiona
Pal, Kingshuk
Gubert, Elsa
Michie, Susan
Yardley, Lucy
Barnard, Maria
May, Carl
Farmer, Andrew
Wood, Bindie
Murray, Elizabeth
author_facet Dack, Charlotte
Ross, Jamie
Stevenson, Fiona
Pal, Kingshuk
Gubert, Elsa
Michie, Susan
Yardley, Lucy
Barnard, Maria
May, Carl
Farmer, Andrew
Wood, Bindie
Murray, Elizabeth
author_sort Dack, Charlotte
collection PubMed
description BACKGROUND: 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. PURPOSE: 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. METHOD: 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. CONCLUSION: It is possible to develop and transparently report self-management programmes for long-term conditions, which reflect current best evidence, theoretical underpinning and user involvement. We intend that reporting the development process and content will inform future digital intervention development.
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spelling pubmed-66604562019-08-01 A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes Dack, Charlotte Ross, Jamie Stevenson, Fiona Pal, Kingshuk Gubert, Elsa Michie, Susan Yardley, Lucy Barnard, Maria May, Carl Farmer, Andrew Wood, Bindie Murray, Elizabeth Internet Interv Article BACKGROUND: 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. PURPOSE: 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. METHOD: 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. CONCLUSION: It is possible to develop and transparently report self-management programmes for long-term conditions, which reflect current best evidence, theoretical underpinning and user involvement. We intend that reporting the development process and content will inform future digital intervention development. Elsevier 2019-03-20 /pmc/articles/PMC6660456/ /pubmed/31372349 http://dx.doi.org/10.1016/j.invent.2019.100241 Text en © 2019 Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Dack, Charlotte
Ross, Jamie
Stevenson, Fiona
Pal, Kingshuk
Gubert, Elsa
Michie, Susan
Yardley, Lucy
Barnard, Maria
May, Carl
Farmer, Andrew
Wood, Bindie
Murray, Elizabeth
A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes
title A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes
title_full A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes
title_fullStr A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes
title_full_unstemmed A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes
title_short A digital self-management intervention for adults with type 2 diabetes: Combining theory, data and participatory design to develop HeLP-Diabetes
title_sort digital self-management intervention for adults with type 2 diabetes: combining theory, data and participatory design to develop help-diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660456/
https://www.ncbi.nlm.nih.gov/pubmed/31372349
http://dx.doi.org/10.1016/j.invent.2019.100241
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