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Health Technology Optimization Analysis: Conceptual Approach and Illustrative Application

  • Charles Yan*
  • , Yufei Zheng
  • , Michael D. Hill
  • , Balraj Mann
  • , Thomas Jeerakathil
  • , Noreen Kamal
  • , Shy Amlani
  • , Anderson W. Chuck
  • *Corresponding author for this work
  • Institute of Health Economics
  • University of Calgary
  • Alberta Health Services
  • University of Alberta

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We present a conceptual approach to determine the optimal solution to delivering a health technology, consistent with the objective of maximizing patient outcomes subject to resources available to a publicly funded health system. The article addresses two key policy questions: 1) adding system values through appropriate planning of health services delivery and 2) considering the tradeoff between patient outcomes and costs to the health system through appropriate use of health technologies for conditions with time-dependent treatment outcomes. We develop a health technology optimization framework that considers geographical variation and searches for the best delivery method through a pairwise comparison of all possible strategies, factoring in controlled variables including disease epidemiology, time or distance to hospitals, available medical services, treatment eligibility, treatment efficacy, and costs. Taking variations of these factors into account would help support a more efficient allocation of health resources. Drawing identified strategies together then creates a map of optimal strategies. We apply the proposed method to a policy-relevant health technology assessment of endovascular therapy (EVT) for treating acute ischemic stroke. The best strategy for providing EVT relies on the geographical location of stroke onset and the decision maker’s preference for either patient outcomes or economic efficiency. The proposed method produced an optimization map showing the optimal strategy for EVT delivery, which maximizes patient outcomes while minimizing health system costs. In the illustrative case study, there were no tradeoffs between health outcomes and costs, meaning that the delivery strategies that were clinically optimal for patients were also the most cost-effective. In conclusion, the health technology optimization approach is a useful tool for informing implementation decisions and coordinating the delivery of complex health services such as EVT.

Original languageEnglish
JournalMDM Policy and Practice
Volume3
Issue number1
DOIs
StatePublished - 1 Jan 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cost-effectiveness analysis
  • endovascular therapy
  • health system optimization
  • health system planning
  • health technology assessment
  • stroke

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