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Area of Science:

  • Health Outcomes Research
  • Oncology
  • Psychometrics

Background:

  • Quality of life (QoL) instruments provide valid snapshots but may contain insensitive items.
  • Discrete QoL items can yield chaotic data for specific populations or interventions.

Purpose of the Study:

  • To evaluate the relative sensitivity of individual items in three common QoL instruments.
  • To identify which QoL measurement items are most responsive in breast cancer survivors.

Main Methods:

  • Utilized data from 150 breast cancer survivors.
  • Calculated absolute change scores for 98 QoL items.
  • Applied the Live Item Index Technique to rank items by sensitivity.

Main Results:

  • Forty-eight "live" items explained 62% of the total variance in change scores.
  • The most sensitive item was over 12 times more responsive than the least sensitive.
  • On average, "live" items demonstrated 1.7 times greater sensitivity.

Conclusions:

  • Consider removing "dead" (unchanging) items in QoL research to enhance efficiency.
  • Reducing endpoint measures can decrease sample size requirements and research costs.
  • The Live Item Index Technique can aid in developing more effective interventions.