在数字糖尿病预防计划中减肥和建模成本节省
OraLee H Branch1, Mohit Rikhy1, Lisa A Auster-Gussman1
1Lark Health Mountain View California USA.
Obesity science & practice
|August 7, 2023
概括
一个数字国家糖尿病预防计划 (DPP) 有效地吸引了参与者,导致显著的体重减轻和大幅节省医疗保健成本. 这种数字DPP证明了积极的健康结果和经济效益.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 预防医学 预防医学
背景情况:
- 国家糖尿病预防计划 (DPP) 减少了2型糖尿病的风险和相关的医疗保健费用.
- 关于完全数字化DPP交付结果和成本效益的证据有限.
研究的目的:
- 评估完全数字化DPP的健康结果和成本节省.
- 在数字DPP环境中分析参与者参与度和减肥基准.
主要方法:
- 分析了13,593名会员的体重减轻和参与数据,这些数据来自数字DPP.
- 使用最大概率估计计算缺失数据的归算.
- 基于减肥或参与基准的成本节约估计.
主要成果:
- 32.0%的成员实现了≥5%的体重减轻,较高的体重减轻与更长的参与相关.
- 模拟的1年成本节约从11,229,160美元到12,960,875.5美元不等.
- 88%的成员提供了初始体重数据,97%的成员保持或减轻体重 (完整数据).
结论:
- 一个完全数字化的DPP产生了显著的临床和参与结果.
- 这些结果转化为显著的健康益处和成本节省.
- 数字DPP交付是预防糖尿病的可行和有效方法.
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