Skip to main content

Advertisement

SpringerLink
Log in

Concurrent validity of the PROMIS® pediatric global health measure

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

To evaluate the concurrent validity of the PROMIS Pediatric Global Health measure (PGH-7), child-report and parent-proxy versions.

Methods

Surveys were administered via home computer on two separate occasions (December, 2011 and August/September, 2012) to a convenience sample of 4636 children 8–17 years old and 2609 parents who participated in a national Internet panel. Data analysis included: (1) evaluations of differences in PGH-7 scores between groups defined by sociodemographics, clinical characteristics, and access to health care; (2) associations with 15 PROMIS pediatric measures; and (3) correlations with two health-related quality-of-life instruments, the KIDSCREEN-10 and PedsQL-15.

Results

PGH-7 scores were lower for children with chronic conditions, Hispanic ethnicity, low socioeconomic status, and barriers to accessing health care. The PGH-7 showed excellent convergent and discriminant validity with PROMIS pediatric measures of physical, mental, and social health. The PGH-7 was strongly correlated with the KIDSCREEN-10, which assesses positive health, and moderately correlated with the PedsQL-15, which assesses problems with a child’s health.

Conclusions

The PGH-7 measures global health, summarizing a child’s physical, mental, and social health into a single score. These properties make it a useful clinical, population health, and research tool for applications that require an efficient, precise, and valid summary measure of a children’s self-reported health status. Future research should prospectively evaluate the PGH-7’s capacity to detect change that results from alterations in clinical status, transformations of the healthcare delivery system, and children’s health development.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Abbreviations

PRO:

Person-reported outcome

PROMIS:

Patient-reported outcomes measurement information system

PGH:

Pediatric global health

IEP:

Individualized educational program

EAP:

Expected A posteriori

References

  1. Rebok, G., Riley, A., Forrest, C., et al. (2001). Elementary school-aged children’s reports of their health: A cognitive interviewing study. Quality of Life Research, 10(1), 59–70.

    Article  CAS  PubMed  Google Scholar 

  2. Bevans, K. B., Riley, A. W., Moon, J., & Forrest, C. B. (2010). Conceptual and methodological advances in child-reported outcomes measurement. Expert Review Pharmacoeconomic Outcomes Research, 10(4), 385–396.

    Article  Google Scholar 

  3. 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.

    Article  PubMed Central  PubMed  Google Scholar 

  4. 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.

    Article  PubMed Central  PubMed  Google Scholar 

  5. 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.

    Article  PubMed Central  PubMed  Google Scholar 

  6. Bloom, B., Cohen, R. A., & Freeman, G. (2011). Summary health statistics for U.S. children: National Health Interview Survey, 2010. Vital and Health Statistics. Series 10, Data from the National Health Survey, 250, 1–80.

  7. Forrest, C. B., Bevans, K. B., Pratiwadi, R., et al. (2014). Development of the PROMIS (R) pediatric global health (PGH-7) measure. Quality of Life Research, 23(4), 1221–1231.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Riley, W. T., Rothrock, N., Bruce, B., 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.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Bock, R. D., & Mislevy, R. J. (1982). Adaptive EAP estimation of ability in a microcomputer environment. Applied Psychological Measurement, 6(4), 431–444.

    Article  Google Scholar 

  10. Bevans, K. B., Gardner, W., Pajer, K., Riley, A. W., & Forrest, C. B. (2013). Qualitative development of the PROMIS® pediatric stress response item banks. Journal of Pediatric Psychology, 38(2), 173–191.

    Article  PubMed Central  PubMed  Google Scholar 

  11. Ravens-Sieberer, U., Devine, J., Bevans, K., et al. (2014). Subjective well-being measures for children were developed within the PROMIS project: Presentation of first results. Journal of Clinical Epidemiology, 67(2), 207–218.

    Article  PubMed Central  PubMed  Google Scholar 

  12. DeWitt, E. M., Stucky, B. D., Thissen, D., et al. (2011). Construction of the eight-item patient-reported outcomes measurement information system pediatric physical function scales: Built using item response theory. Journal of Clinical Epidemiology, 64(7), 794–804.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Lai, J. S., Stucky, B. D., Thissen, D., et al. (2013). Development and psychometric properties of the PROMIS((R)) pediatric fatigue item banks. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 22(9), 2417–2427.

    Article  Google Scholar 

  14. Varni, J. W., Stucky, B. D., Thissen, D., et al. (2010). PROMIS Pediatric Pain Interference Scale: An item response theory analysis of the pediatric pain item bank. The Journal of Pain: Official Journal of the American Pain Society, 11(11), 1109–1119.

    Article  Google Scholar 

  15. Irwin, D. E., Stucky, B., Langer, M. M., et al. (2010). An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales. Quality of Life Research, 19(4), 595–607.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Irwin, D. E., Stucky, B. D., Langer, M. M., et al. (2012). PROMIS Pediatric Anger Scale: An item response theory analysis. Quality of Life Research, 21(4), 697–706.

    Article  PubMed Central  PubMed  Google Scholar 

  17. Dewalt, D. A., Thissen, D., Stucky, B. D., et al. (2013). PROMIS Pediatric Peer Relationships Scale: Development of a peer relationships item bank as part of social health measurement. Health Psychology, 32(10), 1093–1103.

    Article  PubMed  Google Scholar 

  18. Ravens-Sieberer, U., Erhart, M., Rajmil, L., 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.

    Article  Google Scholar 

  19. Ravens-Sieberer, U., Gosch, A., Rajmil, L., et al. (2005). KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Review Pharmacoeconomics Outcomes Research, 5(3), 353–364.

    Article  Google Scholar 

  20. Ravens-Sieberer, U., Gosch, A., Rajmil, L., et al. (2008). The KIDSCREEN-52 quality of life measure for children and adolescents: Psychometric results from a cross-cultural survey in 13 European countries. Value Health, 11(4), 645–658.

    Article  PubMed  Google Scholar 

  21. KIDSCREEN Group. (2006). The KIDSCREEN Questionnaires—quality of life questionnaires for children and adolescents—handbook. Lengerich: Papst Science Publisher.

  22. Varni, J. W., Burwinkle, T. M., & Seid, M. (2006). The PedsQL 4.0 as a school population health measure: Feasibility, reliability, and validity. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 15(2), 203–215.

    Article  Google Scholar 

  23. Bethell, C. D., Read, D., Neff, J., et al. (2002). Comparison of the children with special health care needs screener to the questionnaire for identifying children with chronic conditions—revised. Ambulatory Pediatrics, 2(1), 49–57.

    Article  PubMed  Google Scholar 

  24. Bethell, C. D., Read, D., Stein, R. E., Blumberg, S. J., Wells, N., & Newacheck, P. W. (2002). Identifying children with special health care needs: Development and evaluation of a short screening instrument. Ambulatory Pediatrics, 2(1), 38–48.

    Article  PubMed  Google Scholar 

  25. Agency for Healthcare Research and Quality. (2012). Medical Expenditure Panel Survey (MEPS). http://www.ahrq.gov/research/data/meps/index.html. Accessed December 13, 2014.

  26. 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.

    Article  PubMed Central  PubMed  Google Scholar 

  27. 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.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Pediatrics, Children’s Hospital of Philadelphia, 34th Street and Civic Ctr Blvd, Philadelphia, PA, 19104, USA

    Christopher B. Forrest, Ramya Pratiwadi, JeanHee Moon, Rachel E. Teneralli, Brandon Becker & Katherine B. Bevans

  2. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA

    Christopher B. Forrest

  3. College of Public Health, Temple University, Philadelphia, PA, USA

    Carole A. Tucker

  4. Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

    Ulrike Ravens-Sieberer

Authors
  1. Christopher B. Forrest
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Carole A. Tucker
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ulrike Ravens-Sieberer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ramya Pratiwadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. JeanHee Moon
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Rachel E. Teneralli
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Brandon Becker
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Katherine B. Bevans
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christopher B. Forrest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Forrest, C.B., Tucker, C.A., Ravens-Sieberer, U. et al. Concurrent validity of the PROMIS® pediatric global health measure. Qual Life Res 25, 739–751 (2016). https://doi.org/10.1007/s11136-015-1111-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-015-1111-7

Keywords

Search

Navigation