Quality of Life Research

, Volume 23, Issue 4, pp 1221–1231

Development of the PROMIS® pediatric global health (PGH-7) measure

  • Christopher B. Forrest
  • Katherine B. Bevans
  • Ramya Pratiwadi
  • JeanHee Moon
  • Rachel E. Teneralli
  • Jo M. Minton
  • Carole A. Tucker
Article

DOI: 10.1007/s11136-013-0581-8

Cite this article as:
Forrest, C.B., Bevans, K.B., Pratiwadi, R. et al. Qual Life Res (2014) 23: 1221. doi:10.1007/s11136-013-0581-8

Abstract

Purpose

To develop a practical, efficient, and reliable pediatric global health (PGH) measure that would be useful for clinical, quality improvement, and research applications.

Methods

Using the Patient Reported Outcome Measurement Information System (PROMIS) mixed-methods approach for item bank development, we identified an item pool that was well understood by children as young as age 8 years and tested its psychometric properties in an internet panel sample of 3,635 children 8–17 years old and 1,807 parents of children 5–17 years old.

Results

The final version of the PGH measure included 7 items assessing general, physical, mental, and social health. Four of these items had the same wording as the PROMIS adult global health measure. Internal consistency was 0.88 for the child-report form and 0.84 for the parent form; both had excellent test–retest reliability. The measures showed factor invariance across age categories. There was no differential item functioning by age, gender, race, or ethnicity. Because the measure includes the general health rating question, it is possible to estimate the PGH scale using this widely used single item.

Conclusions

The PROMIS PGH-7 measure is a brief and reliable 7-item measure of a child’s global health.

Keywords

Patient-reported outcome Quality of life Health status Child Global health 

Abbreviations

PRO

Patient-reported outcome

PROMIS

Patient Reported Outcome Measurement Information System

PGH

Pediatric global health

TLI

Tucker–Lewis Index

CFI

Comparative Fit Index

RMSEA

Root mean square error of approximation

CFA

Confirmatory factor analysis

EFA

Exploratory factor analysis

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Christopher B. Forrest
    • 1
    • 2
  • Katherine B. Bevans
    • 1
  • Ramya Pratiwadi
    • 1
  • JeanHee Moon
    • 1
  • Rachel E. Teneralli
    • 1
  • Jo M. Minton
    • 1
  • Carole A. Tucker
    • 3
  1. 1.Department of PediatricsChildren’s Hospital of PhiladelphiaPhiladelphiaUSA
  2. 2.Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaUSA
  3. 3.College of Health Professions and Social WorkTemple UniversityPhiladelphiaUSA

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