Philis-Tsimikas Athena, Fortmann Addie L, Clark Taylor, Spierling Bagsic Samantha R, Farcas Emilia, Roesch Scott C, Schultz James, Gilmer Todd P, Godino Job G, Savin Kimberly L, Chichmarenko Mariya, Jones Jennifer A, Sandoval Haley, Gallo Linda C
Scripps Whittier Diabetes Institute, Scripps Health, La Jolla, CA, 92037, United States.
San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, 92182, United States.
Ann Behav Med. 2025 Jan 4;59(1). doi: 10.1093/abm/kaae077.
To compare the effectiveness of a static, text-based diabetes education and support intervention (Dulce Digital, DD) versus a dynamic approach with personalized feedback and goal setting (Dulce Digital-Me, DD-Me) in improving diabetes outcomes.
Comparative effectiveness trial in 310 Latine adults with poorly managed type 2 diabetes in a Federally Qualified Health Center in Southern California, randomized to DD, DD-Me-Auto (algorithm-driven text-based personalized feedback), or DD-Me-Tel (coach delivered personalized feedback). Changes in HbA1c (primary outcome), low-density lipoprotein-cholesterol, systolic blood pressure, and patient-reported outcomes were examined across 6 and 12 months, with the primary comparison being DD versus DD-Me (combined automated and telephonic).
Participants were 52.1 (±10.2) years old, 69.7% female, with HbA1c 9.3% (±1.6) at baseline. Across groups, there was a statistically significant improvement in HbA1c at 6 months (mean∆ per month = -0.17, 95% CI -0.20, -0.14; P < .001) and 12 months (mean∆ per month = -0.07, 95% CI -0.09, -0.05; P < .001). However, there were no time-by-group interaction effects indicating group differences in clinical outcomes across 6 or 12 months. The DD-Me groups showed greater improvements across time than the DD group for diabetes self-management behaviors.
Static and adaptive digital interventions for Latine adults with type 2 diabetes had similar and clinically significant effects on HbA1c across 12 months. Simple digital approaches can be integrated within primary care-based chronic care models to reduce diabetes disparities.
CLINICALTRIALS.GOV REGISTRATION: NCT03130699, Initial Release 04/24/2017, https://clinicaltrials.gov/ct2/show/NCT03130699?term=NCT03130699&draw=2&rank=1.
比较基于文本的静态糖尿病教育与支持干预(Dulce Digital,DD)和采用个性化反馈与目标设定的动态方法(Dulce Digital-Me,DD-Me)在改善糖尿病结局方面的效果。
在南加州一家联邦合格健康中心对310名2型糖尿病管理不善的拉丁裔成年人进行比较有效性试验,随机分为DD组、DD-Me-Auto组(基于算法的文本个性化反馈)或DD-Me-Tel组(由教练提供个性化反馈)。在6个月和12个月时检查糖化血红蛋白(主要结局)、低密度脂蛋白胆固醇、收缩压和患者报告结局的变化,主要比较为DD组与DD-Me组(自动和电话干预相结合)。
参与者年龄为52.1(±10.2)岁,69.7%为女性,基线糖化血红蛋白为9.3%(±1.6)。在各治疗组中,6个月时糖化血红蛋白有统计学意义的改善(每月平均变化=-0.17,95%CI -0.20,-0.14;P<.001),12个月时也有改善(每月平均变化=-0.07,95%CI -0.09,-0.05;P<.001)。然而,没有时间×组交互效应表明6个月或12个月时各治疗组在临床结局上存在差异。在糖尿病自我管理行为方面,DD-Me组随时间的改善比DD组更大。
对于患有2型糖尿病的拉丁裔成年人,静态和适应性数字干预在12个月内对糖化血红蛋白有相似且具有临床意义的影响。简单的数字方法可纳入基于初级保健的慢性病护理模式以减少糖尿病差异。
NCT03130699,首次发布于2017年4月24日,https://clinicaltrials.gov/ct2/show/NCT03130699?term=NCT03130699&draw=2&rank=1 。