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A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial

BACKGROUND: Prediabetes is a high-risk state for the future development of type 2 diabetes, which may be prevented through physical activity (PA), adherence to a healthy diet, and weight loss. Mobile health (mHealth) technology is a practical and cost-effective method of delivering diabetes preventi...

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Autores principales: Everett, Estelle, Kane, Brian, Yoo, Ashley, Dobs, Adrian, Mathioudakis, Nestoras
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849796/
https://www.ncbi.nlm.nih.gov/pubmed/29487046
http://dx.doi.org/10.2196/jmir.9723
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author Everett, Estelle
Kane, Brian
Yoo, Ashley
Dobs, Adrian
Mathioudakis, Nestoras
author_facet Everett, Estelle
Kane, Brian
Yoo, Ashley
Dobs, Adrian
Mathioudakis, Nestoras
author_sort Everett, Estelle
collection PubMed
description BACKGROUND: Prediabetes is a high-risk state for the future development of type 2 diabetes, which may be prevented through physical activity (PA), adherence to a healthy diet, and weight loss. Mobile health (mHealth) technology is a practical and cost-effective method of delivering diabetes prevention programs in a real-world setting. Sweetch (Sweetch Health, Ltd) is a fully automated, personalized mHealth platform designed to promote adherence to PA and weight reduction in people with prediabetes.  OBJECTIVE: The objective of this pilot study was to calibrate the Sweetch app and determine the feasibility, acceptability, safety, and effectiveness of the Sweetch app in combination with a digital body weight scale (DBWS) in adults with prediabetes. METHODS: This was a 3-month prospective, single-arm, observational study of adults with a diagnosis of prediabetes and body mass index (BMI) between 24 kg/m(2) and 40 kg/m(2). Feasibility was assessed by study retention. Acceptability of the mobile platform and DBWS were evaluated using validated questionnaires. Effectiveness measures included change in PA, weight, BMI, glycated hemoglobin (HbA(1c)), and fasting blood glucose from baseline to 3-month visit. The significance of changes in outcome measures was evaluated using paired t test or Wilcoxon matched pairs test. RESULTS: The study retention rate was 47 out of 55 (86%) participants. There was a high degree of acceptability of the Sweetch app, with a median (interquartile range [IQR]) score of 78% (73%-80%) out of 100% on the validated System Usability Scale. Satisfaction regarding the DBWS was also high, with median (IQR) score of 93% (83%-100%). PA increased by 2.8 metabolic equivalent of task (MET)–hours per week (SD 6.8; P=.02), with mean weight loss of 1.6 kg (SD 2.5; P<.001) from baseline. The median change in A(1c) was −0.1% (IQR −0.2% to 0.1%; P=.04), with no significant change in fasting blood glucose (−1 mg/dL; P=.59). There were no adverse events reported. CONCLUSIONS: The Sweetch mobile intervention program is a safe and effective method of increasing PA and reducing weight and HbA(1c) in adults with prediabetes. If sustained over a longer period, this intervention would be expected to reduce diabetes risk in this population. TRIAL REGISTRATION: ClincialTrials.gov NCT02896010; https://clinicaltrials.gov/ct2/show/NCT02896010 (Archived by WebCite at http://www.webcitation.org/6xJYxrgse)
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spelling pubmed-58497962018-03-19 A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial Everett, Estelle Kane, Brian Yoo, Ashley Dobs, Adrian Mathioudakis, Nestoras J Med Internet Res Original Paper BACKGROUND: Prediabetes is a high-risk state for the future development of type 2 diabetes, which may be prevented through physical activity (PA), adherence to a healthy diet, and weight loss. Mobile health (mHealth) technology is a practical and cost-effective method of delivering diabetes prevention programs in a real-world setting. Sweetch (Sweetch Health, Ltd) is a fully automated, personalized mHealth platform designed to promote adherence to PA and weight reduction in people with prediabetes.  OBJECTIVE: The objective of this pilot study was to calibrate the Sweetch app and determine the feasibility, acceptability, safety, and effectiveness of the Sweetch app in combination with a digital body weight scale (DBWS) in adults with prediabetes. METHODS: This was a 3-month prospective, single-arm, observational study of adults with a diagnosis of prediabetes and body mass index (BMI) between 24 kg/m(2) and 40 kg/m(2). Feasibility was assessed by study retention. Acceptability of the mobile platform and DBWS were evaluated using validated questionnaires. Effectiveness measures included change in PA, weight, BMI, glycated hemoglobin (HbA(1c)), and fasting blood glucose from baseline to 3-month visit. The significance of changes in outcome measures was evaluated using paired t test or Wilcoxon matched pairs test. RESULTS: The study retention rate was 47 out of 55 (86%) participants. There was a high degree of acceptability of the Sweetch app, with a median (interquartile range [IQR]) score of 78% (73%-80%) out of 100% on the validated System Usability Scale. Satisfaction regarding the DBWS was also high, with median (IQR) score of 93% (83%-100%). PA increased by 2.8 metabolic equivalent of task (MET)–hours per week (SD 6.8; P=.02), with mean weight loss of 1.6 kg (SD 2.5; P<.001) from baseline. The median change in A(1c) was −0.1% (IQR −0.2% to 0.1%; P=.04), with no significant change in fasting blood glucose (−1 mg/dL; P=.59). There were no adverse events reported. CONCLUSIONS: The Sweetch mobile intervention program is a safe and effective method of increasing PA and reducing weight and HbA(1c) in adults with prediabetes. If sustained over a longer period, this intervention would be expected to reduce diabetes risk in this population. TRIAL REGISTRATION: ClincialTrials.gov NCT02896010; https://clinicaltrials.gov/ct2/show/NCT02896010 (Archived by WebCite at http://www.webcitation.org/6xJYxrgse) JMIR Publications 2018-02-27 /pmc/articles/PMC5849796/ /pubmed/29487046 http://dx.doi.org/10.2196/jmir.9723 Text en ©Estelle Everett, Brian Kane, Ashley Yoo, Adrian Dobs, Nestoras Mathioudakis. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.02.2018. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Everett, Estelle
Kane, Brian
Yoo, Ashley
Dobs, Adrian
Mathioudakis, Nestoras
A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial
title A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial
title_full A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial
title_fullStr A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial
title_full_unstemmed A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial
title_short A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial
title_sort novel approach for fully automated, personalized health coaching for adults with prediabetes: pilot clinical trial
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849796/
https://www.ncbi.nlm.nih.gov/pubmed/29487046
http://dx.doi.org/10.2196/jmir.9723
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