Psychometric analysis of the Multidimensional Fatigue Inventory in a sample of persons treated for myocardial infarction

J Nurs Meas. 2015;23(1):154-67. doi: 10.1891/1061-3749.23.1.154.

Abstract

Background and purpose: Fatigue after myocardial infarction is a frequent and distressing symptom in the early recovery phase. The purpose of this study is to psychometrically evaluate the Multidimensional Fatigue Inventory (MFI-20).

Methods: The MFI-20 was evaluated using Rasch analysis.

Results: The result showed that the MFI-20 can be used to obtain a global score reflecting an underlying unidimensional trait of fatigue; a transformation of the summarized raw scale scores into interval scale scores could be made. Also, 4 of the 5 original dimensions separately fitted the Rasch model.

Conclusions: Calculation of a global score increases the possibility of identifying persons experiencing fatigue after myocardial infarction, and using the MFI-20 dimension scores increases the possibility of determining each person's specific fatigue profile.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Fatigue / diagnosis*
  • Fatigue / etiology*
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Myocardial Infarction / complications*
  • Myocardial Infarction / therapy
  • Psychometrics
  • Surveys and Questionnaires*