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Modeling the Pharmacologic Treatment of Hypertension

Author

Listed:
  • Lemuel A. Moyé

    (Regenstrief Institute for Health Care, Indianapolis; Indiana University School of Medicine; Purdue University)

  • Stephen D. Roberts

    (Regenstrief Institute for Health Care, Indianapolis; Indiana University School of Medicine; Purdue University)

Abstract

We have developed a stochastic representation of the pharmacologic treatment of hypertension that is useful in predicting the outcome of various therapy protocols (sequences of antihypertension agents). Important variables (compliance, pharmacologic potency, incidence of side effects, symptoms from hypertension, and financial cost) are incorporated in the model, realistically representing the complex interactions involved in the treatment of hypertension from the perspectives of both physicians and patients. The outcome measures of the model are clinically relevant and easily interpreted. The model's predictions were found to conform with data from an empirical study. This treatment model was also used to compare commonly utilized antihypertensive agents within the traditional stepped care approach currently popular among clinicians.

Suggested Citation

  • Lemuel A. Moyé & Stephen D. Roberts, 1982. "Modeling the Pharmacologic Treatment of Hypertension," Management Science, INFORMS, vol. 28(7), pages 781-797, July.
    • Handle: RePEc:inm:ormnsc:v:28:y:1982:i:7:p:781-797
    DOI: 10.1287/mnsc.28.7.781
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    Cited by:

    1. Tinglong Dai & Kelly Gleason & Chao‐Wei Hwang & Patricia Davidson, 2021. "Heart analytics: Analytical modeling of cardiovascular care," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(1), pages 30-43, February.

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