Bridging the Digital Divide in Diabetes Care With an AI-Powered Health Coaching Intervention: Qualitative Formative Study.

IF 2.9 Q2 Medicine
JMIR Diabetes Pub Date : 2026-08-07 DOI:10.2196/81441
Tejossy John, Sangeetha Mohanraj, Tanjila Nawshin, Tapan Mehta, Mohanraj Thirumalai
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引用次数: 0

Abstract

Background: Despite advancements in digital health coaching (DHC) for type 2 diabetes self-management, a persistent digital divide limits access among underserved populations, necessitating low-tech, telephone-based alternatives.

Objective: This formative qualitative study explored the lived experiences of type 2 diabetes mellitus (T2DM) self-management challenges among adults in Alabama and elicited preferences for telephone-based DHC to inform intervention optimization.

Methods: This study was part of a larger National Institutes of Health clinical trial (5R01DK129378) that examined the feasibility and needs of a telephone-based DHC intervention for self-management of T2DM. The study employed a qualitative, phenomenological approach to assess patients' needs surrounding digital coaching. Twelve patients diagnosed with T2DM were recruited between August and December 2022. Data collection involved in-depth, semistructured interviews conducted via telephone calls or secure Zoom sessions. All interviews were audio-recorded, professionally transcribed, and verified for accuracy. Two independent coders analyzed the data using NVivo software version 14 Plus.

Results: Two themes emerged: (1) multifaceted barriers to diabetes self-management spanning behavioral (dietary adherence and nutritional gaps), physical/environmental (mobility limitations and weather constraints), and structural domains (medication shortages, insurance coverage limiting continuous glucose monitoring); (2) expectations for telephone-based DHC, including targeted education (meal planning, exercise adaptations, and medication effects), health coaches as accountability partners, daily reminders and check-ins via texts/calls, and incentives as extrinsic motivators to adherence. Insights from the study directly shaped the intervention components of a pilot feasibility trial (NCT05344859).

Conclusions: Key challenges in day-to-day T2DM management included diet, physical activity, medication unavailability, and lack of insurance coverage for continuous glucose monitors. Expectations for a potential telephone-based DHC intervention included targeted education on diet, exercise, and medication effects; perceptions of health coaches as accountability partners; reminders via texts/calls as beneficial; and monetary incentives as extrinsic motivators for adherence to the intervention.

用人工智能健康指导干预弥合糖尿病护理中的数字鸿沟:定性形成性研究。
背景:尽管数字健康指导(DHC)在2型糖尿病自我管理方面取得了进展,但持续存在的数字鸿沟限制了服务不足人群的获取,需要低技术、基于电话的替代方案。目的:本形成性质的研究探讨了阿拉巴马州成人2型糖尿病(T2DM)自我管理挑战的生活经历,并引发了对基于电话的DHC的偏好,以告知干预优化。方法:本研究是美国国立卫生研究院(National Institutes of Health)一项大型临床试验(5R01DK129378)的一部分,该试验旨在检验基于电话DHC干预T2DM自我管理的可行性和必要性。该研究采用定性、现象学方法来评估患者对数字指导的需求。在2022年8月至12月期间招募了12名诊断为T2DM的患者。数据收集涉及通过电话或安全Zoom会议进行的深度半结构化访谈。所有的采访都有录音,专业转录,并核实准确性。两名独立编码器使用NVivo软件版本14 Plus分析数据。结果:出现了两个主题:(1)糖尿病自我管理的多方面障碍,包括行为障碍(饮食依从性和营养缺口)、身体/环境障碍(活动受限和天气限制)和结构障碍(药物短缺、保险覆盖限制连续血糖监测);(2)对基于电话的DHC的期望,包括有针对性的教育(膳食计划、运动适应和药物效果)、健康教练作为问责伙伴、每天通过短信/电话提醒和签到、以及奖励作为坚持的外在动机。该研究的见解直接形成了试点可行性试验(NCT05344859)的干预组成部分。结论:日常T2DM管理的主要挑战包括饮食、身体活动、药物不可获得以及缺乏连续血糖监测的保险覆盖。对潜在的基于电话的DHC干预的期望包括针对饮食、运动和药物效果的有针对性的教育;将卫生教练视为问责伙伴;通过短信/电话提醒是有益的;金钱激励是坚持干预的外在激励。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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
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