Evaluating cloudcare, a population health management system, in persons with type 1 diabetes: an observational study.

IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Cornelis A J van Beers, Sander Last, Pim Dekker, Erwin Birnie, Nico Riegman, Francisca van der Pluijm, Christine Fransman, Henk J Veeze, Henk-Jan Aanstoot
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引用次数: 0

Abstract

Background: Innovations in diabetes technology have consistently improved outcomes of persons with type1 diabetes (PWDs). However, the volumes of data that these technologies yield require different workflows to alleviate healthcare professionals' (HCPs) workload and prevent losing relevant data in between visits for interpretation and treatment adaptations. CloudCare is a population health management tool that continuously oversees data from groups of individual PWDs, based on remote monitoring, screening and triaging of individual PWDs. This study assesses the effect of CloudCare on treatment satisfaction of PWDs, HCPs' workload and glycemic control of PWDs.

Methods: We evaluated the 6-month follow-up outcomes as part of an ongoing prospective cohort study analyzing the effect of CloudCare. Adult PWDs diagnosed > 6 months before inclusion were enrolled. The primary outcome was the change in PWD treatment satisfaction (DTSQc). Secondary outcomes included the number and type of contacts between HCPs and PWDs, diabetes-related distress (PAID-5), and glycemic control.

Results: In September 2024, 175 participants had baseline data available, with a median age of 29.9 years and a median diabetes duration of 17 years. Differences between baseline and 6 months could be calculated for 119 participants. After 6 months follow-up, the median increase in PWDs' treatment satisfaction (DTSQc) was + 6.0 (IQR 2-11; p < 0.001). The number of face-to-face contacts per PWD per 3 months decreased from 0.85 at baseline to 0.34 (p < 0.001) at 6 months. Diabetes-related distress was significantly decreased at 3 months (p < 0.001) and at 6 months (p = 0.034), compared with baseline. Glucometrics did not significantly change, with a TIR of 79% at baseline and 78% after 6 months (p = 0.39), and a mean glucose management indicator (GMI) of 50 mmol/mol (6.7%) at all timepoints.

Conclusions: In adult PWDs with good glycemic control, CloudCare decreases workload for HCPs, while increasing PWDs' treatment satisfaction and maintaining excellent glycemic control during 6 months, showing this concept can be applied in modern diabetes care with high density data availability.

Trial registration: Clinicaltrials.gov identifier: NCT05431140; registration date 21-6-2023.

评估cloudcare(一种人口健康管理系统)在1型糖尿病患者中的应用:一项观察性研究
背景:糖尿病技术的创新不断改善1型糖尿病(PWDs)患者的预后。然而,这些技术产生的大量数据需要不同的工作流程,以减轻医疗保健专业人员(hcp)的工作量,并防止在两次访问之间丢失相关数据,以便进行解释和治疗调整。CloudCare是一种人口健康管理工具,它基于对个体残疾患者的远程监测、筛查和分类,持续监督来自个体残疾患者群体的数据。本研究评估CloudCare对PWDs治疗满意度、医护人员工作量和血糖控制的影响。方法:作为一项正在进行的前瞻性队列研究的一部分,我们评估了6个月的随访结果,分析了CloudCare的效果。入组前6个月诊断为bb0的成年残疾患者。主要观察指标为PWD治疗满意度(DTSQc)的变化。次要结局包括HCPs和pwd之间接触的次数和类型、糖尿病相关的痛苦(PAID-5)和血糖控制。结果:2024年9月,175名参与者有基线数据,中位年龄为29.9岁,中位糖尿病持续时间为17年。119名参与者可以计算基线和6个月的差异。随访6个月后,pwd患者治疗满意度(DTSQc)中位数上升为+ 6.0 (IQR 2-11;p结论:在血糖控制良好的成年pwd中,CloudCare减少了HCPs的工作量,同时提高了pwd的治疗满意度,并在6个月内保持了良好的血糖控制,表明该概念可以应用于高密度数据可用的现代糖尿病护理。试验注册:Clinicaltrials.gov标识符:NCT05431140;注册日期21-6-2023。
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
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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