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

IF 1.8 4区 医学 Q4 ENDOCRINOLOGY & METABOLISM Science of Diabetes Self-Management and Care Pub Date : 2022-06-04 DOI:10.1177/26350106221100779
Fang Chen, Carolyn B. Jasik, Timothy M. Dall, C. V. Siego
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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/m2 (23 kg/m2 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.
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数字增强糖尿病自我管理计划对血糖和医疗成本的影响
目的:分析与虚拟数字增强糖尿病自我管理教育和支持(DSMES)计划相关的经济节约和健康影响。研究设计和方法:参与者(n = 1494)是诊断为2型糖尿病且基线体重指数(BMI)为25的非孕妇 kg/m2(23 kg/m2,如果是亚裔)或更高,在2019年2月至2020年4月期间参加虚拟DSMES至少4年 月。参与者糖化血红蛋白(A1C)和体重的变化被计算为第4个月至第6个月期间项目开始和最后记录值之间的差异。对所有参与者的结果进行了分析;对628名起始A1C>7%的参与者进行了亚分析(53 mmol/mol),谁能从DSMES中获益最多。如果观察到A1C和BMI的改善得到维持,则使用基于马尔可夫的微观模拟方法来模拟糖尿病后遗症和医疗支出的潜在减少。结果:起始A1C>7%的DSMES参与者平均A1C降低0.9%,平均降低2.1 6个月内体重为kg(BMI的-1.7%)。如果这些改善得以维持,模拟结果包括缺血性心脏病的5年发病率减少9.2%,心肌梗死减少10.6%,中风减少12.1%,慢性肾脏疾病减少16.5%,以及其他后遗症的发病率减少。医疗支出的模拟累计减少额为1年后1160美元,3年后4150美元,5年后7790美元,10年后18020美元。结论:参与虚拟DSMES可以改善A1C和体重,有可能减缓糖尿病后遗症的发作并减少医疗支出。
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来源期刊
CiteScore
4.90
自引率
21.10%
发文量
41
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