Patient perceptions of a comprehensive telemedicine intervention to address persistent poorly controlled diabetes.

PATIENT PREFERENCE AND ADHERENCE(2017)

引用 13|浏览7
暂无评分
摘要
Objective: We studied a telemedicine intervention for persistent poorly controlled diabetes mellitus (PPDM) that combined telemonitoring, self-management support, and medication management. The intervention was designed for practical delivery using existing Veterans Affairs (VA) telemedicine infrastructure. To refine the intervention and inform the delivery of the intervention in other settings, we examined participants' experiences. Methods: We conducted semistructured interviews with 18 Veterans who completed the intervention. We analyzed interview text using directed content analysis and categorized themes by hemoglobin A1c (HbA1c) improvement (,< 1% or >= 1%). Results: Participants generally reported greater awareness of their blood glucose levels; however, they described dissatisfaction with the telemonitoring interface and competing demands during the intervention. Participants with,1% HbA1c improvement reported that these challenges interfered with their engagement. Participants with >= 1% HbA1c improvement reported new self-management routines despite challenges. Conclusion: Despite competing demands and frustration with the telemonitoring interface, many participants demonstrated intervention engagement and substantial improvement in HbA1c (>= 1%). Differences in engagement may reflect differing capacity to manage treatment burden. Because it relies on existing infrastructure, this intervention is a promising model for addressing PPDM within VA. Future work should focus on optimizing systems' telemedicine infrastructure; while reliance on existing infrastructure may facilitate practical delivery, and it may also limit intervention engagement by excessively contributing to treatment burden.
更多
查看译文
关键词
telemedicine,persistent poorly controlled diabetes,type 2 diabetes,patient perspectives,treatment burden
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要