个性化医生教育和通过数字平台远程反馈对血糖控制的临床影响:试点随机对照试验。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jin Yu, Joonyub Lee, Yeoree Yang, Eun Young Lee, Seung-Hwan Lee, Jae-Hyoung Cho
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引用次数: 0

摘要

背景:数字教育平台Doctorvice (iKooB Inc.)在门诊就诊期间提供面对面的医患教育、远程血糖监测和教育信息的传递,有望有效实现个性化糖尿病护理。目的:本研究旨在通过比较包括面对面教育和远程监控的病例与仅包括面对面教育的病例,评估糖尿病护理数字教育平台的有效性。方法:这是一项在首尔圣玛丽医院糖尿病中心进行的随机临床研究。参与者年龄≥19岁,糖化血红蛋白(HbA1c)水平在7.5% - 9.5%之间。在干预组中,医生使用数字教育平台在入组时以及3个月和6个月的访问时提供面对面的教育,并在6个月研究期间的前3个月进行远程监控。对照组接受常规门诊教育。两组患者在研究开始和结束时都完成了问卷调查,评估对糖尿病治疗的满意度、糖尿病相关压力和对糖尿病药物的依从性。主要终点是HbA1c水平的变化。结果:在2022年8月1日至2023年8月31日期间,共有66名参与者入组。其中,干预组26人,对照组30人,排除了退出研究的10人。干预组平均基线HbA1c水平为8.3% (SD 0.6%),对照组为8.0% (SD 0.5%)。在3个月的随访中,平均HbA1c下降0.5%-7.8% (SD 0.9%;P= 0.01),对照组降低0.2% ~ 7.8% (SD为0.7%)。通过面对面教育和远程血糖监测,HbA1c水平在前3个月内显著改善。然而,在没有远程监测服务的干预组中,HbA1c在随访3- 6个月期间有升高的趋势。与基线相比,干预组在研究结束时对糖尿病治疗的满意度显著提高(平均变化+3.6分;P = .006)。两组的药物依从性均有改善,6个月时无显著差异(P= 0.59),尽管干预组较基线有更大的增加。亚组分析显示,干预组中基线HbA1c水平≥8.0%、年龄≥65岁、吸烟者、饮酒者和肥胖患者的HbA1c降低幅度更大。结论:糖尿病个性化管理数字化教育平台可能有利于2型糖尿病患者的血糖控制。当医生提供个性化的面对面教育与远程反馈相结合时,其有效性似乎得到了增强。试验注册:韩国临床研究信息服务中心(CRiS) KCT0007953;https://cris.nih.go.kr/cris/search/detailSearch.do?seq=23507&search_page=L。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical Impact of Personalized Physician's Education and Remote Feedback Via a Digital Platform on Glycemic Control: Pilot Randomized Controlled Trial.

Background: The digital education platform Doctorvice (iKooB Inc.) offers face-to-face physician-patient education during outpatient clinic visits, remote glucose monitoring, and the delivery of educational messages, and is expected to be effective for personalized diabetes care.

Objective: This study aims to evaluate the effectiveness of the digital education platform for diabetes care by comparing cases that included both face-to-face education and remote monitoring with those that included only face-to-face education.

Methods: This was a randomized clinical study conducted at the Diabetes Center of Seoul St. Mary's Hospital. Participants were aged ≥19 years and had glycated hemoglobin (HbA1c) levels between 7.5% and 9.5%. In the intervention group, physicians used the digital education platform to provide face-to-face education at enrollment and at the 3- and 6-month visits, along with remote monitoring during the first 3 months of the 6-month study period. The control group received conventional outpatient education. Both groups completed questionnaires-assessing satisfaction with diabetes treatment, diabetes-related stress, and adherence to diabetes medication-at the beginning and end of the study. The primary endpoint was the change in HbA1c levels.

Results: A total of 66 participants were enrolled between August 1, 2022, and August 31, 2023. Of these, 26 in the intervention group and 30 in the control group were analyzed, excluding 10 participants who dropped out of the study. The mean baseline HbA1c levels were 8.3% (SD 0.6%) in the intervention group and 8.0% (SD 0.5%) in the control group. At the 3-month follow-up, mean HbA1c decreased by 0.5%-7.8% (SD 0.9%; P=.01) in the intervention group and by 0.2%-7.8% (SD 0.7%) in the control group. HbA1c levels substantially improved during the first 3 months with both face-to-face education and remote glucose monitoring. However, HbA1c tended to increase during the 3- to 6-month follow-up in the intervention group without the remote monitoring service. Satisfaction with diabetes treatment significantly improved at the end of the study compared with baseline in the intervention group (mean change +3.6 points; P=.006). Medication adherence improved in both groups, with no significant difference at 6 months (P=.59), although the intervention group showed a greater increase from baseline. Subgroup analysis indicated that the reduction in HbA1c was greater for patients with baseline HbA1c levels ≥8.0%, those aged ≥65 years, smokers, drinkers, and those with obesity in the intervention group.

Conclusions: The digital education platform for personalized diabetes management may be beneficial for glycemic control in type 2 diabetes mellitus. Its effectiveness appears to be enhanced when physicians provide personalized face-to-face education combined with remote feedback.

Trial registration: Clinical Research Information Service (CRiS) of Republic of Korea KCT0007953; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=23507&search_page=L.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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