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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

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Published on: September 27, 2019

Assessment of response shift using two structural equation modeling techniques.

Pranav K Gandhi1, L Douglas Ried, I-Chan Huang

  • 1South College, School of Pharmacy, 400 Goodys Lane, Knoxville, TN 37922, USA. pgandhi@southcollegetn.edu

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
|April 6, 2012
PubMed
Summary
This summary is machine-generated.

Hypertensive patients with coronary artery disease experienced a response shift in physical functioning over one year. Both structural equation modeling (SEM) techniques identified this shift, though methods varied.

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08:27

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Published on: September 27, 2019

Area of Science:

  • Cardiovascular Health
  • Psychometrics
  • Statistical Modeling

Background:

  • Hypertension and coronary artery disease (CAD) significantly impact patient quality of life.
  • Measuring health status changes requires robust methods to account for potential response shifts.

Purpose of the Study:

  • To identify response shift in hypertensive patients with CAD using two structural equation modeling (SEM) techniques.
  • To compare the Oort and Schmitt SEM approaches for detecting response shift.

Main Methods:

  • Utilized data from 909 hypertensive patients with CAD, surveyed at baseline and 1-year follow-up using the SF-36.
  • Applied Oort and Schmitt SEM techniques to identify and analyze response shift.
  • Calculated effect sizes for response shift impact on SF-36 domain scores using the Oort approach.

Main Results:

  • Both Oort and Schmitt SEM approaches detected response shift exclusively in the SF-36 physical functioning (PF) scale.
  • The Oort approach indicated a recalibration effect size of -0.12 on PF domain score changes.

Conclusions:

  • Hypertensive patients with CAD exhibited a response shift in physical functioning over a 12-month period.
  • While both SEM methods identified response shift, their parameters for definition and testing differed.
  • Analytic method variations or sample characteristics may influence the identification and nature of response shift.