The determining factors in prescribing anti-hypertensive drugs to first-ever ischemic stroke patients

Abstract

Prescription of drugs plays a vital role not only in patient care but also to the health care industry for the many consequences it is entangled with. With the advanced use of mathematical models in healthcare today, it has become possible for healthcare personnel to practice evidence-based- decision making. This paper attempts to aid in the prescription of anti-hypertensive drugs for first ever ischemic stroke patients by conducting sensitivity and post-optimality analysis of a previously proposed multi-objective mixed-integer nonlinear integer programming model. Determining factors that contribute to the optimal drug prescription will be identified, enabling decision makers to make informed decisions on how a patient's drug therapy needs to be adjusted when the need arises.