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Erschienen in:

01.05.2010

An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales

verfasst von: Debra E. Irwin, Brian Stucky, Michelle M. Langer, David Thissen, Esi Morgan DeWitt, Jin-Shei Lai, James W. Varni, Karin Yeatts, Darren A. DeWalt

Erschienen in: Quality of Life Research | Ausgabe 4/2010

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Abstract

Purpose

The Patient-Reported Outcomes Measurement Information System (PROMIS) aims to develop self-reported item banks for clinical research. The PROMIS pediatrics (aged 8–17) project focuses on the development of item banks across several health domains (physical function, pain, fatigue, emotional distress, social role relationships, and asthma symptoms). The psychometric properties of the anxiety and depressive symptom item banks are described.

Methods

Participants (n = 1,529) were recruited in public school settings, hospital-based outpatient and subspecialty pediatrics clinics. The anxiety (k = 18) and depressive symptoms (k = 21) items were split between two test administration forms. Hierarchical confirmatory factor-analytic models (CFA) were conducted to evaluate scale dimensionality and local dependence. IRT analyses were then used to finalize item banks and short forms.

Results

CFA results confirmed that anxiety and depressive symptoms are separate constructs and indicative of negative affect. Items with local dependence and DIF were removed resulting in 15 anxiety and 14 depressive symptoms items. The psychometric differences between short forms and simulated computer adaptive tests are presented.

Conclusions

PROMIS pediatric item banks were developed to provide efficient assessment of health-related quality of life domains. This sample provides initial calibrations of anxiety and depressive symptoms item banks and creates PROMIS pediatric instruments, version 1.0.

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Ader, D. N. (2007). Developing the patient-reported outcomes measurement information system (PROMIS). Medical Care, 45(Suppl 1), S1–S2.CrossRef

Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(Suppl 1), S3–S11.CrossRefPubMed

http://www.nimh.nih.gov/health/topics/child-and-adolescent-mental-health/index.shtml last accessed October 5, 2009.

DeWalt, D., Rothrock, N., Yount, S., & Stone, A. A. (2007). PROMIS cooperative group: Evaluation of item candidates: The PROMIS qualitative item review. Medical Care, 45(Suppl 1), S12–S21.CrossRefPubMed

Walsh, T. R., Irwin, D. E., Meier, A., Varni, J. W., & DeWalt, D. (2008). The use of focus groups in the development of the PROMIS pediatric item bank. Quality of Life Research, 17, 725–735.CrossRefPubMed

Irwin, D. E., Varni, J. W., Yeatts, K., & DeWalt, D. (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), 1–10.

Matza, L. S., Swensen, A. R., Flood, E. M., Secnik, K., & Leidy, N. K. (2004). Assessment of health-related quality of life in children: A review of conceptual, methodological, and regulatory issues. Value in Health, 7, 79–92.CrossRefPubMed

Ravens-Sieberer, U., Erhart, M., Wille, N., Wetzel, R., Nickel, J., & Bullinger, M. (2006). Generic health-related quality-of-life assessment in children and adolescents: Methodological considerations. Pharmacoeconomics, 24(12), 1199–1220.CrossRefPubMed

Irwin, D. E., Stucky, B. D., Thissen, D., Morgan DeWitt, E., Lai, J. S., Yeatts, K., Varni, J. W., & DeWalt, D. A. (2010). Sampling plan and patient characteristics of the PROMIS pediatrics large scale survey. Quality of Life Research manuscript under review.

10.

Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life items banks: Plans for the patient-reported outcome measurement information system (PROMIS). Medical Care, 45, S22–S31.CrossRefPubMed

11.

Muthén, B., du Toit, 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. Los Angeles, CA: Muthén & Muthén, Unpublished technical report.

12.

Muthen, L. K., & Muthen, B. O. (2004). Mplus user’s guide (2nd ed.). Los Angeles, CA: Muthen & Muthen (Ed.).

13.

Hill, C. D., Edwards, M. C., Thissen, D., Langer, M. M., Wirth, R. J., Burwinkle, T. M., et al. (2007). Practical issues in the application of item response theory: A demonstration using items from the pediatric quality of life inventory™ (PedsQL™) 4.0 generic core scales. Medical Care, 45, S39–S47.CrossRefPubMed

14.

Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores, Psychometrika Monograph. No. 17.

15.

Samejima, F. (1997). Graded response model. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 85–100). New York: Springer.

16.

du Toit, M. (Ed.). (2003). IRT from SSI. Lincolnwood, IL: Scientific Software International.

17.

Orlando, M., & Thissen, D. (2000). Likelihood-based item-fit indices for dichotomous item response theory models. Applied Psychological Measurement, 24, 50–64.CrossRef

18.

Orlando, M., & Thissen, D. (2003). Further examination of the performance of S-X², an item fit index for dichotomous item response theory models. Applied Psychological Measurement, 27, 289–298.CrossRef

19.

Bjorner, J. B., Smith, K. J., Edelen, M. O., Stone, C., Thissen, D., & Sun, X. (2007). IRTFIT: A macro for item fit and local dependence tests under IRT models. Lincoln, RI: QualityMetric Incorporated.

20.

Thissen, D., Steinberg, L., & Wainer, H. (1993). Detection of differential item functioning using the parameters of item response models. In P. W. Holland & H. Wainer (Eds.), Differential item functioning (pp. 67–113). Hillsdale, NJ: Lawrence Erlbaum Associates.

21.

Thissen, D. (2001). IRTLRDIF: Software for the computation of the statistics involved in item response theory likelihood-ratio tests for differential item functioning. Chapel Hill, NC: L. L. Thurstone Psychometric Laboratory, The University of North Carolina at Chapel Hill.

22.

Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society B, 57, 289–300.

23.

Williams, V. S. L., Jones, L. V., & Tukey, J. W. (1999). Controlling error in multiple comparisons, with examples from state-to-state differences in educational achievement. Journal of Educational and Behavioral Statistics, 24, 42–69.

24.

Steinberg, L., & Thissen, D. (2006). Using effect sizes for research reporting: Examples using item response theory to analyze differential item functioning. Psychological Methods, 11, 402–415.CrossRefPubMed

25.

Kolen, M. J., & Brennan, R. L. (2004). Test equating, scaling, and linking (2nd ed.). New York, NY: Springer.

26.

Dorans, N. J. (2007). Linking scores from multiple health outcome instruments. Quality of Life Research, 16(s1), 85–94.CrossRefPubMed

27.

Joreskog, K. G., & Sorbom, D. (2003). LISREL 8.5. Lincolwood, IL: Scientific Software International, Inc.

28.

Thissen, D., Nelson, L., Rosa, K., & McLeod, L. D. (2001). Item response theory for items scored in more than two categories. In D. Thissen & H. Wainer (Eds.), Test scoring (pp. 141–186). Mahwah, NJ: Lawrence Erlbaum Associates.

29.

Thissen, D., Reeve, B. B., Bjorner, J. B., & Chang, C.-H. (2007). Methodological issues for building item banks and computerized adaptive scales. Quality of Life Research, 16, 109–116.CrossRefPubMed

30.

Varni, J. W., Seid, M., & Kurtin, P. S. (2001). The 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, 800–812.CrossRefPubMed

31.

Chen, W. H., & Thissen, D. (1997). Local dependence indices for item pairs using item response theory. Journal of Educational and Behavioral Statistics, 22, 265–289.

32.

Reeve, B. B. (2000). Item- and scale-level analysis of clinical and non-clinical sample responses to the MMPI-2 depression scales employing item response theory. Unpublished doctoral dissertation, University of North Carolina at Chapel Hill.

33.

Santor, D. A., Ramsay, J. O., & Zuroff, D. C. (1994). Nonparametric item analyses of the beck depression inventory: Evaluating gender item bias and response option weights. Psychological Assessment, 6, 255–270.CrossRef

34.

Schaeffer, N. C. (1998). An application of item response theory to the measurement of depression. In C. C. Clogg (Ed.), Sociological methodology (Vol. 18, pp. 271–307). Washington, DC: American Sociological Association.

35.

Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL^TM: Measurement model for the pediatric quality of life inventory^TM. Medical Care, 37, 126–139.CrossRefPubMed

36.

Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Duer, W., et al. (2005). KIDSCREEN-52 quality of life measure for children and adolescents. Expert Review of Pharmacoeconomics and Outcomes Research, 5, 353–364.CrossRefPubMed

37.

Gibbons, R. D., Weiss, D. J., Kupfer, D. J., Frank, E., Fagiolini, A., Grochocinski, V. J., et al. (2008). Using computerized adaptive testing to reduce the burden of mental health assessment. Psychiatric Services, 59, 361–368.CrossRefPubMed

38.

Bjorner, J. B., Chang, C. H., Thissen, D., & Reeve, B. B. (2007). Developing tailored instruments: item banking and computerized adaptive assessment. Quality of Life Research, 16, 95–108.CrossRefPubMed

39.

Shafer, A. B. (2006). Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung. Journal of Clinical Psychology, 62, 123–146.CrossRefPubMed

40.

Watson, D., Clark, L. A., Weber, K., Assenheimer, J. A., Strauss, M. E., & McCormick, R. A. (1995). Testing a tripartite model: I. Evaluating the convergent and discriminant validity of anxiety and depression symptoms. Journal of Abnormal Psychology, 104, 3–14.CrossRefPubMed

41.

Watson, D., Clark, L. A., Weber, K., Assenheimer, J. S., Strauss, M. E., & McCormick, R. A. (1995). Testing a tripartite model: II. Exploring the symptom structure of anxiety and depression in student, adult, and patient samples. Journal of Abnormal Psychology, 104, 15–25.CrossRefPubMed

42.

Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100, 316–336.CrossRefPubMed

43.

Chorpita, B. F., Albano, A. M., & Barlow, D. H. (1998). The structure of negative emotions in a clinical sample of children and adolescents. Journal of Abnormal Psychology, 107, 74–85.CrossRefPubMed

44.

Brown, T. A., Chorpita, B. F., & Barlow, D. H. (1998). Structural relationships among dimensions of the DSM-IV anxiety and mood disorders and dimensions of negative affect, positive affect, and autonomic arousal. Journal of Abnormal Psychology, 107, 179–192.CrossRefPubMed

45.

Pilkonis, P. A., Reise, S. P., Stover, A. M., Riley, W. T., Cella, D. (in press). Items banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS): Depression, anxiety, and anger. Manuscript in press.

Titel: An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales
verfasst von: Debra E. Irwin
Brian Stucky
Michelle M. Langer
David Thissen
Esi Morgan DeWitt
Jin-Shei Lai
James W. Varni
Karin Yeatts
Darren A. DeWalt
Publikationsdatum: 01.05.2010
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 4/2010
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-010-9619-3

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales

Abstract

Purpose

Methods

Results

Conclusions

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusions

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