Modelling adherence behaviour for the treatment of obstructive sleep apnoea
- Authors
- 강윤철
- Issue Date
- 16-Mar-2016
- Publisher
- ELSEVIER SCIENCE BV
- Citation
- EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v.249, no.3, pp.1005 - 1013
- Journal Title
- EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Volume
- 249
- Number
- 3
- Start Page
- 1005
- End Page
- 1013
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/8027
- ISSN
- 0377-2217
- Abstract
- Continuous positive airway pressure therapy (CPAP) is known to be the most efficacious treatment for obstructive sleep apnoea (OSA). Unfortunately, poor adherence behaviour in using CPAP reduces its effectiveness and thereby also limits beneficial outcomes. In this paper, we model the dynamics and patterns of patient adherence behaviour as a basis for designing effective and economical interventions. Specifically, we define patient CPAP usage behaviour as a state and develop Markov models for diverse patient cohorts in order to examine the stochastic dynamics of CPAP usage behaviours. We also examine the impact of behavioural intervention scenarios using a Markov decision process (MDP), and suggest a guideline for designing interventions to improve CPAP adherence behaviour. Behavioural intervention policy that addresses economic aspects of treatment is imperative for translation to clinical practice, particularly in resource-constrained environments that are clinically engaged in the chronic care of OSA. (C) 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved.
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Collections - College of Engineering > Industrial Engineering Major > 1. Journal Articles
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