Developing a Cost-Effectiveness Model of Digital Therapeutics for Smoking Cessation

被引：1

作者：

Yoo, Sung Goo ^{[1
]}

Kim, Dai Jin ^{[1
,2
]}

Chun, Ji Won ^{[1
]}

Choi, In Young ^{[1
]}

机构：

[1] Catholica Univ Korea, Dept Med Informat, Coll Med, Seoul, South Korea

[2] Catholica Univ Korea, Seoul St Marys Hosp, Dept Psychiat, Coll Med, Seoul, South Korea

来源：

MEDINFO 2023 - THE FUTURE IS ACCESSIBLE | 2024年 / 310卷

关键词：

Digital therapeutics; smoking cessation; Cost-effectiveness analysis; Markov chain; Monte Carlo simulation;

D O I：

10.3233/SHTI231287

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The purpose of this research was to construct a Markov model of digital therapeutics to predict the lifetime costs and consequences that would be incurred by a hypothetical group of adult smokers in Korea who only made a single attempt to stop smoking. To determine the efficacy of DTx, we created an annual cycle Markov model. The result shows that the NRT strategy is determined as the dominant strategy. Digital therapeutics acts as a complement to pharmacotherapy and is a low-cost option

引用

页码：1548 / 1549

页数：2

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