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Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
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Developing a preference-based utility scoring algorithm for the Psoriasis Area Severity Index (PASI).

Louis S Matza1, John E Brazier2, Katie D Stewart1

  • 1a Evidera , Bethesda , MD , USA.

Journal of Medical Economics
|June 5, 2019
PubMed
Summary
This summary is machine-generated.

Developing a scoring algorithm for the Psoriasis Area Severity Index (PASI) allows for better health utility measurement in psoriasis clinical trials. This tool aids cost-effectiveness analyses by quantifying treatment outcomes.

Keywords:
Health state utilitiesI10I19Psoriasis Area Severity Index (PASI)condition-specific preference-based measurepsoriasistime trade-off

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Area of Science:

  • Dermatology
  • Health Economics
  • Psychometrics

Background:

  • Psoriasis impacts health utilities, but generic measures may not capture dermatological symptoms.
  • The Psoriasis Area Severity Index (PASI) is a standard clinical trial metric.
  • Accurate health state utility measurement is crucial for cost-effectiveness analyses.

Purpose of the Study:

  • To develop a utility scoring algorithm for the Psoriasis Area Severity Index (PASI).
  • To enable better quantification of health outcomes in psoriasis research.

Main Methods:

  • Forty health states were created based on PASI scores from clinical trial patients.
  • Time trade-off interviews were conducted with 245 UK general population participants.
  • Regression models (OLS linear, random effects, etc.) were used to link PASI scores to health utilities.

Main Results:

  • Models using four PASI location scores (head, upper limbs, trunk, lower limbs) showed better accuracy than using the total PASI score.
  • Psoriasis severity on the head and upper limbs had a stronger association with utility.
  • The recommended OLS linear model based on location scores achieved R²=0.13 and MAE=0.03.

Conclusions:

  • The developed PASI scoring algorithm can estimate health utilities for any psoriasis treatment group.
  • This enhances the ability to conduct cost-effectiveness analyses for psoriasis therapies.
  • Findings suggest head/upper limb involvement may be more critical than trunk/lower limb in utility assessment, potentially informing future PASI modifications.