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Related Experiment Video

Updated: May 16, 2026

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

Optimal decision rules for HTA under uncertainty: a wider, dynamic perspective.

Martin Forster¹, Paolo Pertile

¹University of York, York, UK.

Health Economics

|December 11, 2012

Summary

This study introduces a new economic framework for health technology assessment, improving resource allocation by integrating adoption, treatment, and research decisions under uncertainty.

Keywords:

dynamic programming economic evaluation real options

Related Experiment Videos

Last Updated: May 16, 2026

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

Area of Science:

Health economics
Decision analysis
Health technology assessment

Background:

Health technology assessment (HTA) often faces uncertainty in decision-making.
Existing frameworks may not fully integrate adoption, treatment, and research decisions.

Purpose of the Study:

To develop a unified economic framework for HTA under uncertainty.
To analyze the impact of key dimensions on optimal decision rules for health technologies.
To enhance efficiency in healthcare resource allocation.

Main Methods:

A two-period economic framework combining real option and decision-theoretic approaches.
Modeling adoption, treatment, and research as a single economic project.
Analysis of optimal decision rules based on key project dimensions.

Main Results:

The integrated framework provides a novel perspective on HTA decision-making.
Identifies how different dimensions influence optimal strategies for technology adoption and use.
Demonstrates the potential for improved resource allocation efficiency.

Conclusions:

The proposed framework offers a substantial contribution to the efficiency of healthcare resource allocation.
Integrating diverse decisions within a single economic project is crucial for optimal HTA.
Further development could significantly advance HTA practices and economic evaluations.