Scaling properties of pain intensity ratings in paediatric populations using the Faces Pain Scale-revised: Secondary analyses of published data based on the item response theory

Int J Nurs Stud. 2018 Nov:87:49-59. doi: 10.1016/j.ijnurstu.2018.07.009. Epub 2018 Jul 17.

Abstract

Background: The Faces Pain Scale-revised (FPS-r) has been developed as an interval scale. For other pain measurement instruments, several studies found evidence for and against an interval level of measurement.

Objectives: The primary aim of the current study was to evaluate the scale properties of the FPS-r using an item response theory approach.

Design: Secondary analysis of published data.

Setting: Three studies; Study 1 and study 2: One university hospital; Study 3: international pain registry.

Participants: Study 1: n = 246, female: 41%, age: 11-18 years, 3 pain items; Study 2: n = 240, female: 43%, age: 11-18 years, 9 pain items; Study 3: n = 2266, female: 41%, age: 4-18 years, 3 pain items.

Methods: The rating scale model (interval scale), the graded response model (no interval scale, ordered response categories) and the partial credit model (no interval scale) were used to scale the data.

Results: In all three studies, the rating scale model was outperformed by the graded response model or the partial credit model in terms of model fit. Overlapping response categories were found in items associated with less pain. Response category widths were wider for categories associated with low pain intensity and smaller for categories associated with high pain intensities. Smallest response categories were 1%-67% smaller compared to the widest response category of the same item.

Conclusion: According to these findings, the interval scale properties of the FPS-r may be questioned. Item response theory methods may help to solve the problem of missing linearity in pain intensity ratings using FPS-r.

Keywords: Pain measurement; Pediatrics; Scale propertiers; Surveys and questionnaires.

MeSH terms

  • Adolescent
  • Child
  • Face
  • Female
  • Humans
  • Male
  • Pain Measurement / methods*
  • Psychometrics
  • Reproducibility of Results