Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | MEDINFO 2023 - The Future is Accessible |
| Subtitle of host publication | Proceedings of the 19th World Congress on Medical and Health Informatics |
| Editors | Jen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing |
| Publisher | IOS Press BV |
| Pages | 1548-1549 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781643684567 |
| DOIs | |
| State | Published - 25 Jan 2024 |
| Event | 19th World Congress on Medical and Health Informatics, MedInfo 2023 - Sydney, Australia Duration: 8 Jul 2023 → 12 Jul 2023 |
Publication series
| Name | Studies in Health Technology and Informatics |
|---|---|
| Volume | 310 |
| ISSN (Print) | 0926-9630 |
| ISSN (Electronic) | 1879-8365 |
Conference
| Conference | 19th World Congress on Medical and Health Informatics, MedInfo 2023 |
|---|---|
| Country/Territory | Australia |
| City | Sydney |
| Period | 8/07/23 → 12/07/23 |
Bibliographical note
Publisher Copyright:© 2024 International Medical Informatics Association (IMIA) and IOS Press.
Keywords
- Cost-effectiveness analysis
- Digital therapeutics
- Markov chain
- Monte Carlo simulation
- smoking cessation