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数字化强化糖尿病自我管理项目对血糖和医疗费用的影响。

Impact of a Digitally Enhanced Diabetes Self-Management Program on Glycemia and Medical Costs.

机构信息

GlobalData PLC, New York, New York.

Omada Health Inc., San Francisco, California.

出版信息

Sci Diabetes Self Manag Care. 2022 Aug;48(4):258-269. doi: 10.1177/26350106221100779. Epub 2022 Jun 4.

Abstract

OBJECTIVE

To analyze economic savings and health impacts associated with a virtual digitally enhanced diabetes self-management education and support (DSMES) program.

RESEARCH DESIGN AND METHODS

Participants (n = 1,494) were nonpregnant adults with diagnosed type 2 diabetes and baseline body mass index (BMI) of 25 kg/m (23 kg/m if of Asian descent) or higher who enrolled in virtual DSMES between February 2019 and April 2020 for at least 4 months. Participants' changes in glycated hemoglobin (A1C) and body weight were calculated as the difference between program start and last recorded values between months 4 and 6. Outcomes for all participants were analyzed; subanalyses were done on 628 participants with starting A1C >7% (53 mmol/mol), who could benefit most from DSMES. Markov-based microsimulation approach was used to model the potential reductions in diabetes sequalae and medical expenditures if observed improvements in A1C and BMI were maintained.

RESULTS

DSMES participants with starting A1C >7% experienced average reductions of 0.9% A1C and 2.1 kg of body weight (-1.7% of BMI) within 6 months. If these improvements were maintained, simulated outcomes include reduced 5-year onset of ischemic heart disease by 9.2%, myocardial infarction by 10.6%, stroke by 12.1%, chronic kidney disease by 16.5%, and reduced onset of other sequelae. Simulated cumulative reduction in medical expenditures is $1160 after 1 year, $4150 after 3 years, $7790 after 5 years, and $18 020 after 10 years.

CONCLUSIONS

Participation in virtual DSMES improves A1C and body weight, with the potential to slow onset of diabetes sequelae and reduce medical expenditures.

摘要

目的

分析虚拟数字化强化糖尿病自我管理教育和支持(DSMES)项目带来的经济节省和健康影响。

研究设计和方法

参与者(n=1494)为患有 2 型糖尿病且基线体重指数(BMI)≥25kg/m²(亚裔参与者为 BMI≥23kg/m²)的非妊娠成年人,他们在 2019 年 2 月至 2020 年 4 月期间参加了至少 4 个月的虚拟 DSMES。参与者的糖化血红蛋白(A1C)和体重变化是通过计算程序启动和 4 至 6 个月之间最后记录的数值之间的差值得出的。对所有参与者的结果进行了分析;对 628 名 A1C 起始值>7%(53mmol/mol)的参与者进行了亚组分析,这些参与者最能从 DSMES 中受益。采用基于马尔可夫的微模拟方法来模拟如果观察到的 A1C 和 BMI 改善得以维持,糖尿病并发症和医疗支出的潜在减少。

结果

A1C 起始值>7%的 DSMES 参与者在 6 个月内平均降低了 0.9%A1C 和 2.1kg 体重(BMI 降低 1.7%)。如果这些改善得以维持,模拟结果包括 5 年内缺血性心脏病发病减少 9.2%、心肌梗死减少 10.6%、中风减少 12.1%、慢性肾脏病减少 16.5%以及其他并发症发病减少。模拟累积医疗支出在 1 年内减少 1160 美元,3 年内减少 4150 美元,5 年内减少 7790 美元,10 年内减少 18020 美元。

结论

参加虚拟 DSMES 可改善 A1C 和体重,有潜力减缓糖尿病并发症的发生并降低医疗支出。

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