医学
远程医疗
糖化血红素
自我管理
疾病管理
糖尿病管理
心理干预
2型糖尿病
指导
糖尿病
物理疗法
体质指数
干预(咨询)
医疗保健
疾病
2型糖尿病
家庭医学
护理部
内科学
内分泌学
经济增长
机器学习
帕金森病
计算机科学
管理
经济
作者
Katja von Storch,E Tiemens-de Graaf,Max Wunderlich,Christian Rietz,Maria Cristina Polidori,Christiane Woopen
标识
DOI:10.1089/dia.2019.0056
摘要
Background: Lifestyle interventions with personalized self-management programs have shown benefits for patients with type 2 diabetes mellitus (T2DM), a devastating highly prevalent disease worldwide. Despite advances in drug therapy and nonpharmacological strategies achieved in the past recent years, self-management programs to be implemented in everyday life are needed. The aim of the present prospective study was to evaluate the effects, in terms of glycated hemoglobin (HbA 1c ) values and self-management behavior, of a telemedicine-assisted self-management program offered to T2DM patients by a large private health insurance company. Methods: Participants with T2DM included 60 adults in the intervention group ( M = 59.4 years) and 55 adults in the control group ( M = 58.4 years). In the beginning of the study, the intervention group was provided with a tablet computer, a glucometer, and a step counter. Additionally, they received an individual need-based telephone coaching to address and improve motivation and diabetes self-management in daily life. The control group received care as usual and were not offered additional treatment. The study examined the results of a diabetes lifestyle program after 3 months. Results: The intervention resulted in significantly greater declines in HbA 1c compared with the control group. In addition, tele-assisted participants showed significant improvements in Diabetes Self-Management scale score and body mass index compared with usual care participants. Conclusions: Patients with T2DM can benefit from telemedicine-assisted self-management programs, which may offer new options for treatment and prevention of disease progression. More follow-up and research is needed to assess feasibility and effectiveness on a larger scale.
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