Advertisement

Quality of Life Research

, Volume 23, Issue 4, pp 1221–1231 | Cite as

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

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

Notes

Acknowledgments

The Patient-Reported Outcomes Measurement Information System (PROMIS) is an NIH Roadmap initiative to develop a computerized system measuring PROs in respondents with a wide range of chronic diseases and demographic characteristics. PROMIS II was funded by cooperative agreements with a Statistical Center (Northwestern University, PI: David Cella, PhD, 1U54AR057951), a Technology Center (Northwestern University, PI: Richard C. Gershon, PhD, 1U54AR057943), a Network Center (American Institutes for Research, PI: Susan (San) D. Keller, PhD, 1U54AR057926), and thirteen Primary Research Sites, which may include more than one institution (State University of New York, Stony Brook, PIs: Joan E. Broderick, PhD and Arthur A. Stone, PhD, 1U01AR057948; University of Washington, Seattle, PIs: Heidi M. Crane, MD, MPH, Paul K. Crane, MD, MPH, and Donald L. Patrick, PhD, 1U01AR057954; University of Washington, Seattle, PIs: Dagmar Amtmann, PhD and Karon Cook, PhD, 1U01AR052171; University of North Carolina, Chapel Hill, PI: Darren A. DeWalt, MD, MPH, 2U01AR052181; Children’s Hospital of Philadelphia, PI: Christopher B. Forrest, MD, PhD, 1U01AR057956; Stanford University, PI: James F. Fries, MD, 2U01AR052158; Boston University, PIs: Stephen M. Haley, PhD and David Scott Tulsky, PhD (University of Michigan, Ann Arbor), 1U01AR057929; University of California, Los Angeles, PIs: Dinesh Khanna, MD and Brennan Spiegel, MD, MSHS, 1U01AR057936; University of Pittsburgh, PI: Paul A. Pilkonis, PhD, 2U01AR052155; Georgetown University, PIs: Carol. M. Moinpour, PhD (Fred Hutchinson Cancer Research Center, Seattle) and Arnold L. Potosky, PhD, U01AR057971; Children’s Hospital Medical Center, Cincinnati, PI: Esi M. Morgan DeWitt, MD, MSCE, 1U01AR057940; University of Maryland, Baltimore, PI: Lisa M. Shulman, MD, 1U01AR057967; and Duke University, PI: Kevin P. Weinfurt, PhD, 2U01AR052186). NIH Science Officers on this project have included Deborah Ader, PhD, Vanessa Ameen, MD, Susan Czajkowski, PhD, Basil Eldadah, MD, PhD, Lawrence Fine, MD, DrPH, Lawrence Fox, MD, PhD, Lynne Haverkos, MD, MPH, Thomas Hilton, PhD, Laura Lee Johnson, PhD, Michael Kozak, PhD, Peter Lyster, PhD, Donald Mattison, MD, Claudia Moy, PhD, Louis Quatrano, PhD, Bryce Reeve, PhD, William Riley, PhD, Ashley Wilder Smith, PhD, MPH, Susana Serrate-Sztein,MD, Ellen Werner, PhD and James Witter, MD, PhD. This project was supported by grants from the Agency for Healthcare Research and Quality (U18HS020508) and the National Institutes of Health (U01AR057956-02).

References

  1. 1.
    Deutsch, A., Smith, L., Gage, B., Kellher, C., & Garfinkel, D. (2013). Patient-reported outcomes in performance measurement: National quality forum. Available at: http://www.qualityforum.org/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=71827. Accessed 9 July 2013.
  2. 2.
    Bevans, K. B., Riley, A. W., Moon, J., & Forrest, C. B. (2010). Conceptual and methodological advances in child-reported outcomes measurement. Expert Review of Pharmacoeconomics Outcomes Research, 10(4), 385–396.PubMedCentralPubMedCrossRefGoogle Scholar
  3. 3.
    Rebok, G., Riley, A., Forrest, C., Starfield, B., Green, B., Robertson, J., et al. (2001). Elementary school-aged children’s reports of their health: A cognitive interviewing study. Quality of Life Research, 10(1), 59–70.PubMedCrossRefGoogle Scholar
  4. 4.
    Irwin, D. E., Varni, J. W., Yeatts, K., & DeWalt, D. A. (2009). Cognitive interviewing methodology in the development of a pediatric item bank: A patient reported outcomes measurement information system (PROMIS) study. Health and Quality of Life Outcomes, 7, 3.PubMedCentralPubMedCrossRefGoogle Scholar
  5. 5.
    Rajmil, L., Herdman, M., Fernandez de Sanmamed, M. J., Detmar, S., Bruil, J., Ravens-Sieberer, U., et al. (2004). Generic health-related quality of life instruments in children and adolescents: A qualitative analysis of content. Journal of Adolescent Health, 34(1), 37–45.PubMedCrossRefGoogle Scholar
  6. 6.
    Clarke, S.-A., & Eiser, C. (2004). The measurement of health-related quality of life (QOL) in paediatric clinical trials: A systematic review. Health and Quality of Life Outcomes, 2, 66.PubMedCentralPubMedCrossRefGoogle Scholar
  7. 7.
    DeSalvo, K. B., Bloser, N., Reynolds, K., He, J., & Muntner, P. (2006). Mortality prediction with a single general self-rated health question. A meta-analysis. Journal of General Internal Medicine, 21(3), 267–275.PubMedCentralPubMedCrossRefGoogle Scholar
  8. 8.
    DeSalvo, K. B., Fan, V. S., McDonell, M. B., & Fihn, S. D. (2005). Predicting mortality and healthcare utilization with a single question. Health Services Research, 40(4), 1234–1246.PubMedCentralPubMedCrossRefGoogle Scholar
  9. 9.
    Simon, A. E., Chan, K. S., & Forrest, C. B. (2008). Assessment of children’s health-related quality of life in the United States with a multidimensional index. Pediatrics, 121(1), e118–e126.PubMedCrossRefGoogle Scholar
  10. 10.
    Starfield, B., Riley, A. W., Green, B. F., Ensminger, M. E., Ryan, S. A., Kelleher, K., et al. (1995). The adolescent child health and illness profile. A population-based measure of health. Medical Care, 33(5), 553–566.PubMedCrossRefGoogle Scholar
  11. 11.
    Ravens-Sieberer, U., Erhart, M., Rajmil, L., Herdman, M., Auquier, P., Bruil, J., et al. (2010). Reliability, construct and criterion validity of the KIDSCREEN-10 score: A short measure for children and adolescents’ well-being and health-related quality of life. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 19(10), 1487–1500.CrossRefGoogle Scholar
  12. 12.
    Varni, J. W., Seid, M., & Kurtin, P. S. (2001). PedsQL 4.0: Reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Medical Care, 39(8), 800–812.PubMedCrossRefGoogle Scholar
  13. 13.
    Forrest, C. B., Bevans, K. B., Tucker, C., Riley, A. W., Ravens-Sieberer, U., Gardner, W., et al. (2012). Commentary: The patient-reported outcome measurement information system (PROMISR) for children and youth: Application to pediatric psychology. Journal of Pediatric Psychology, 37(6), 614–621.PubMedCentralPubMedCrossRefGoogle Scholar
  14. 14.
    Hays, R. D., Bjorner, J. B., Revicki, D. A., Spritzer, K. L., & Cella, D. (2009). Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items. Quality of Life Research, 18(7), 873–880.PubMedCentralPubMedCrossRefGoogle Scholar
  15. 15.
    Revicki, D. A., Kawata, A. K., Harnam, N., Chen, W. H., Hays, R. D., & Cella, D. (2009). Predicting EuroQol (EQ-5D) scores from the patient-reported outcomes measurement information system (PROMIS) global items and domain item banks in a United States sample. Quality of Life Research, 18(6), 783–791.PubMedCentralPubMedCrossRefGoogle Scholar
  16. 16.
    Riley, W. T., Rothrock, N., Bruce, B., Christodolou, C., Cook, K., Hahn, E. A., et al. (2010). Patient-reported outcomes measurement information system (PROMIS) domain names and definitions revisions: Further evaluation of content validity in IRT-derived item banks. Quality of Life Research, 19(9), 1311–1321.PubMedCentralPubMedCrossRefGoogle Scholar
  17. 17.
    Lasch, K. E., Marquis, P., Vigneux, M., Abetz, L., Arnould, B., Bayliss, M., et al. (2010). PRO development: Rigorous qualitative research as the crucial foundation. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 19(8), 1087–1096.CrossRefGoogle Scholar
  18. 18.
    Fortune-Greeley, A. K., Flynn, K. E., Jeffery, D. D., Williams, M. S., Keefe, F. J., Reeve, B. B., et al. (2009). Using cognitive interviews to evaluate items for measuring sexual functioning across cancer populations: Improvements and remaining challenges. Quality of life research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 18(8), 1085–1093.CrossRefGoogle Scholar
  19. 19.
    Bevans, K. B., Riley, A. W., & Forrest, C. B. (2012). Development of the healthy pathways parent-report scales. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 38(2), 173–191.Google Scholar
  20. 20.
    Bevans, K. B., Riley, A. W., & Forrest, C. B. (2010). Development of the healthy pathways child-report scales. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 19(8), 1195–1214.CrossRefGoogle Scholar
  21. 21.
    Muthen, B., duToit, S. H. C., & Spisic, D. (1997). Robust inference using weighted least squared and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Available at: http://pages.gseis.ucla.edu/faculty/muthen/articles/Article_075.pdf. Accessed 9 July 2013.
  22. 22.
    Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). Lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.PubMedCentralPubMedGoogle Scholar
  23. 23.
    Crane, P. K., Gibbons, L. E., Narasimhalu, K., Lai, J. S., & Cella, D. (2007). Rapid detection of differential item functioning in assessment of health-related quality of life: The functional assessment of cancer therapy. Quality of Life Research, 16, 101–114.PubMedCrossRefGoogle Scholar
  24. 24.
    Bevans, K. B., Pratawadi, R., Tucker, C., Riley, A. W., Forrest, C. B. (Submitted manuscript). A psychometric analysis of internet panel survey data collected from children and youth.Google Scholar
  25. 25.
    Frank, R. (2010). State Children’s Health Insurance Program—Workshop on pediatric health and health care quality measurement and information needs. National Research Council and Institute of Medicine of the National Academies from http://www.iom.edu/~/media/Files/Activity%20Files/Quality/PediatricQualityMeasures/Russell%20Frank.ashx.
  26. 26.
    Gesten, F. (2010). Measurement: Unify the tribes! Workshop on pediatric health and health care quality measurement and information needs. National Research Council and Institute of Medicine of the National Academies from http://www.iom.edu/~/media/Files/Activity%20Files/Quality/PediatricQualityMeasures/Gesten.ashx.
  27. 27.
    Wadhwa, S. (2010). Measuring children’s health and health care—Workshop on pediatric health and health care quality measurement and information needs. National Research Council and Institute of Medicine of the National Academies from http://www.iom.edu/~/media/Files/Activity%20Files/Quality/PediatricQualityMeasures/Sandeep%20Wadhwa_3_23_10.ashx.
  28. 28.
    Gruttadaro, D. (2010). The family perspective on measurement and information needs—Workshop on pediatric health and health care quality measurement and information needs. National Research Council and Institute of Medicine of the National Academies from http://www.iom.edu/~/media/Files/Activity%20Files/Quality/PediatricQualityMeasures/Gruttadaro.ashx.

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

Personalised recommendations