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Determining clinically important differences in health status measures: a general approach with illustration to the Health Utilities Index Mark II.

Publication ,  Journal Article
Samsa, G; Edelman, D; Rothman, ML; Williams, GR; Lipscomb, J; Matchar, D
Published in: Pharmacoeconomics
February 1999

The objective of this article was to describe and illustrate a comprehensive approach for estimating clinically important differences (CIDs) in health-related quality-of-life (HR-QOL). A literature review and pilot study were conducted to determine whether effect size-based benchmarks are consistent with CIDs obtained from other approaches. CIDs may be estimated based primarily upon effect sizes, supplemented by more traditional anchor-based methods of benchmarking (i.e. direct, cross-sectional or longitudinal approaches). A literature review of articles discussing CIDs provided comparative data on effect sizes for various chronic conditions. A pilot study was then conducted to estimate the minimum CID of the Health Utilities Index (HUI) Mark II, and to compare the observed between-group differences observed in a recent randomised trial of an acute stroke intervention with this benchmark. The use of standardised effect size benchmarks has a number of advantages-for example, effect sizes are efficient, widely accepted outside HR-QOL, and have well accepted benchmarks based upon external anchors. In addition, our literature review and pilot study suggest that effect size-based CID benchmarks are similar to those which would be obtained using more traditional methods. For most HR-QOL instruments, we do not know the changes in score which constitute CIDs of various magnitudes. This makes interpretation of HR-QOL results from clinical trials difficult, and having a benchmarking process which is relatively straightforward would be highly desirable.

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Published In

Pharmacoeconomics

DOI

ISSN

1170-7690

Publication Date

February 1999

Volume

15

Issue

2

Start / End Page

141 / 155

Location

New Zealand

Related Subject Headings

  • Quality of Life
  • Pilot Projects
  • Longitudinal Studies
  • Humans
  • Health Status Indicators
  • Health Policy & Services
  • Cross-Sectional Studies
  • Clinical Trials as Topic
  • 4203 Health services and systems
  • 3801 Applied economics
 

Citation

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ICMJE
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Samsa, G., Edelman, D., Rothman, M. L., Williams, G. R., Lipscomb, J., & Matchar, D. (1999). Determining clinically important differences in health status measures: a general approach with illustration to the Health Utilities Index Mark II. Pharmacoeconomics, 15(2), 141–155. https://doi.org/10.2165/00019053-199915020-00003
Samsa, G., D. Edelman, M. L. Rothman, G. R. Williams, J. Lipscomb, and D. Matchar. “Determining clinically important differences in health status measures: a general approach with illustration to the Health Utilities Index Mark II.Pharmacoeconomics 15, no. 2 (February 1999): 141–55. https://doi.org/10.2165/00019053-199915020-00003.
Samsa G, Edelman D, Rothman ML, Williams GR, Lipscomb J, Matchar D. Determining clinically important differences in health status measures: a general approach with illustration to the Health Utilities Index Mark II. Pharmacoeconomics. 1999 Feb;15(2):141–55.
Samsa, G., et al. “Determining clinically important differences in health status measures: a general approach with illustration to the Health Utilities Index Mark II.Pharmacoeconomics, vol. 15, no. 2, Feb. 1999, pp. 141–55. Pubmed, doi:10.2165/00019053-199915020-00003.
Samsa G, Edelman D, Rothman ML, Williams GR, Lipscomb J, Matchar D. Determining clinically important differences in health status measures: a general approach with illustration to the Health Utilities Index Mark II. Pharmacoeconomics. 1999 Feb;15(2):141–155.
Journal cover image

Published In

Pharmacoeconomics

DOI

ISSN

1170-7690

Publication Date

February 1999

Volume

15

Issue

2

Start / End Page

141 / 155

Location

New Zealand

Related Subject Headings

  • Quality of Life
  • Pilot Projects
  • Longitudinal Studies
  • Humans
  • Health Status Indicators
  • Health Policy & Services
  • Cross-Sectional Studies
  • Clinical Trials as Topic
  • 4203 Health services and systems
  • 3801 Applied economics