Personalized Digital Health Solutions to Increasing Diabetes-Related Knowledge and Behavioral Outcomes: Results from an RCT .

IF 2.9 Q2 Medicine
JMIR Diabetes Pub Date : 2026-04-07 DOI:10.2196/87364
Marcia Ory, Christi H Esquivel, Gang Han, Samuel D Castiglione Towne, SangNam Ahn, Matthew Lee Smith
{"title":"Personalized Digital Health Solutions to Increasing Diabetes-Related Knowledge and Behavioral Outcomes: Results from an RCT .","authors":"Marcia Ory, Christi H Esquivel, Gang Han, Samuel D Castiglione Towne, SangNam Ahn, Matthew Lee Smith","doi":"10.2196/87364","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The prevalence of diabetes in the US necessitates investigations into how to better enable adults with type 2 diabetes to manage their health using easy to access and personally adaptable technologies. The ubiquity of digital content further justifies the need to consider the impact of different digital intervention modalities in diabetes self-care activities.</p><p><strong>Objective: </strong>The purpose of this study is to compare the impact of two digital diabetes self-care education programs delivered separately, and in combination, to adults with type 2 diabetes across various settings in Texas.</p><p><strong>Methods: </strong>We conducted a randomized control trial (RCT) in Texas with 188 adults with T2DM to assess whether two different interventions alone (vMMWD or TBES) or in combination (vMMWD followed by TBES) improved multiple outcomes associated with diabetes self-management. We employed several estimation techniques including generalized estimating equations (GEE), to account for multiple factors simultaneously.</p><p><strong>Results: </strong>All three digital intervention modalities led to significant improvements (p<.05) in diabetes-related confidence, distress, and self-care behaviors, with significant effects from baseline through 6 months and supported by moderate to strong effect sizes for the total population (ranging from .446 to .827 at 3 months and .538 to .888 at 6 months). No statistically significant superiority was observed among the intervention modalities. Higher self-care behaviors were significantly associated with higher baseline confidence and lower distress. Those in the most disadvantaged positions (less education, less financial stability, and no health insurance) showed significantly larger improvement in selfcare behaviors.</p><p><strong>Conclusions: </strong>Given the benefits associated with the current study's interventions, we suggest future work to further develop digital content that can be tailored to individuals with T2DM to help them manage their chronic condition(s) in a cost-effective manner.</p><p><strong>Clinicaltrial: </strong>This trial was registered at ClinicalTrials.gov under ID number NCT06370494.</p>","PeriodicalId":52371,"journal":{"name":"JMIR Diabetes","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13225500/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Diabetes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/87364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The prevalence of diabetes in the US necessitates investigations into how to better enable adults with type 2 diabetes to manage their health using easy to access and personally adaptable technologies. The ubiquity of digital content further justifies the need to consider the impact of different digital intervention modalities in diabetes self-care activities.

Objective: The purpose of this study is to compare the impact of two digital diabetes self-care education programs delivered separately, and in combination, to adults with type 2 diabetes across various settings in Texas.

Methods: We conducted a randomized control trial (RCT) in Texas with 188 adults with T2DM to assess whether two different interventions alone (vMMWD or TBES) or in combination (vMMWD followed by TBES) improved multiple outcomes associated with diabetes self-management. We employed several estimation techniques including generalized estimating equations (GEE), to account for multiple factors simultaneously.

Results: All three digital intervention modalities led to significant improvements (p<.05) in diabetes-related confidence, distress, and self-care behaviors, with significant effects from baseline through 6 months and supported by moderate to strong effect sizes for the total population (ranging from .446 to .827 at 3 months and .538 to .888 at 6 months). No statistically significant superiority was observed among the intervention modalities. Higher self-care behaviors were significantly associated with higher baseline confidence and lower distress. Those in the most disadvantaged positions (less education, less financial stability, and no health insurance) showed significantly larger improvement in selfcare behaviors.

Conclusions: Given the benefits associated with the current study's interventions, we suggest future work to further develop digital content that can be tailored to individuals with T2DM to help them manage their chronic condition(s) in a cost-effective manner.

Clinicaltrial: This trial was registered at ClinicalTrials.gov under ID number NCT06370494.

增加糖尿病相关知识和行为结果的个性化数字健康解决方案:来自随机对照试验 的结果。
背景:糖尿病在美国的流行需要调查如何更好地使成人2型糖尿病患者管理他们的健康使用易于获取和个人适应的技术。数字内容的无处不在进一步证明有必要考虑不同数字干预方式对糖尿病自我保健活动的影响。目的:本研究的目的是比较两种数字糖尿病自我保健教育计划对德克萨斯州不同环境下2型糖尿病成人患者的影响。方法:我们在德克萨斯州对188名成年T2DM患者进行了一项随机对照试验(RCT),以评估两种不同的干预措施(vMMWD或TBES)或联合(vMMWD加TBES)是否改善了与糖尿病自我管理相关的多种结局。我们采用了几种估计技术,包括广义估计方程(GEE),以同时考虑多个因素。结果:所有三种数字干预方式都带来了显著的改善(结论:考虑到与当前研究干预相关的益处,我们建议未来的工作是进一步开发可针对T2DM患者量身定制的数字内容,以帮助他们以经济有效的方式管理他们的慢性疾病。临床试验:该试验在ClinicalTrials.gov注册,ID号为NCT06370494。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
JMIR Diabetes
JMIR Diabetes Computer Science-Computer Science Applications
CiteScore
4.00
自引率
0.00%
发文量
35
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书