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Updated: Jul 9, 2026
13:04
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
Are decisions using cost-utility analyses robust to choice of SF-36/SF-12 preference-based algorithm?
A Simon Pickard1, Zhixiao Wang, Surrey M Walton
1Center for Pharmacoeconomic Research, College of Pharmacy, Room 164, 833 S, Wood St (MC886), University of Illinois at Chicago, 60612, USA. pickard1@uic.edu
Health and Quality of Life Outcomes
|March 8, 2005
Summary
Choosing different SF-36/SF-12 algorithms significantly impacts cost utility analysis (CUA) results. Brazier
Area of Science:
- Health economics
- Outcomes research
- Psychometrics
Background:
- Cost utility analysis (CUA) relies on preference-based algorithms for SF-36/SF-12 data.
- Algorithm selection can influence decision-making in healthcare.
- Guidance is needed for choosing appropriate SF-36/SF-12 algorithms.
Purpose of the Study:
- To demonstrate how algorithm choice affects SF-36/SF-12 based CUA.
- To compare incremental cost-utility ratios (ICURs) across different algorithms.
- To provide recommendations for algorithm selection.
Main Methods:
- Utilized data from adult asthma patients and post-stroke patients.
- Calculated incremental cost-utility ratios (ICURs) using ten published algorithms.
- Compared and ranked ICURs (dollars/QALY) across datasets and algorithms.
Main Results:
- ICURs varied widely across algorithms, from $27,972/QALY to $63,492/QALY.
- Fryback and Shmueli algorithms yielded higher ICURs with non-overlapping confidence intervals.
- Algorithm rankings showed strong correlation (r=0.60) between asthma and stroke cohorts.
Conclusions:
- SF-36/SF-12 algorithms generate diverse ICURs, impacting reimbursement decisions.
- Brazier algorithms offer strong methodological basis and higher ICURs.
- Need for a US general population-based SF-36/SF-12 algorithm with robust foundations.
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