Dynamic treatment selection and modification for personalised blood pressure therapy using a Markov decision process model: a cost-effectiveness analysis.

ABSTRACT: OBJECTIVE:Personalised medicine seeks to select and modify treatments based on individual patient characteristics and preferences. We sought to develop an automated strategy to select and modify blood pressure treatments, incorporating the likelihood that patients with different characteristics would benefit from different types of medications and dosages and the potential severity and impact of different side effects among patients with different characteristics. DESIGN, SETTING AND PARTICIPANTS:We developed a Markov decision process (MDP) model to incorporate meta-analytic data and estimate the optimal treatment for maximising discounted lifetime quality-adjusted life-years (QALYs) based on individual patient characteristics, incorporating medication adjustment choices when a patient inc

SUBMITTER: Choi SE 

PROVIDER: S-EPMC5695480 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature