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09-11-2016

The validation of a computer-adaptive test (CAT) for assessing health-related quality of life in children and adolescents in a clinical sample: study design, methods and first results of the Kids-CAT study

Auteurs: D. Barthel, C. Otto, S. Nolte, A.-K. Meyrose, F. Fischer, J. Devine, O. Walter, A. Mierke, K. I. Fischer, U. Thyen, M. Klein, T. Ankermann, M. Rose, U. Ravens-Sieberer

Gepubliceerd in: Quality of Life Research | Uitgave 5/2017

Abstract

Purpose

Recently, we developed a computer-adaptive test (CAT) for assessing health-related quality of life (HRQoL) in children and adolescents: the Kids-CAT. It measures five generic HRQoL dimensions. The aims of this article were (1) to present the study design and (2) to investigate its psychometric properties in a clinical setting.

Methods

The Kids-CAT study is a longitudinal prospective study with eight measurements over one year at two University Medical Centers in Germany. For validating the Kids-CAT, 270 consecutive 7- to 17-year-old patients with asthma (n = 52), diabetes (n = 182) or juvenile arthritis (n = 36) answered well-established HRQoL instruments (Pediatric Quality of Life Inventory™ (PedsQL), KIDSCREEN-27) and scales measuring related constructs (e.g., social support, self-efficacy). Measurement precision, test–retest reliability, convergent and discriminant validity were investigated.

Results

The mean standard error of measurement ranged between .38 and .49 for the five dimensions, which equals a reliability between .86 and .76, respectively. The Kids-CAT measured most reliably in the lower HRQoL range. Convergent validity was supported by moderate to high correlations of the Kids-CAT dimensions with corresponding PedsQL dimensions ranging between .52 and .72. A lower correlation was found between the social dimensions of both instruments. Discriminant validity was confirmed by lower correlations with non-corresponding subscales of the PedsQL.

Conclusions

The Kids-CAT measures pediatric HRQoL reliably, particularly in lower areas of HRQoL. Its test–retest reliability should be re-investigated in future studies. The validity of the instrument was demonstrated. Overall, results suggest that the Kids-CAT is a promising candidate for detecting psychosocial needs in chronically ill children.

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The mean completion time refers to the time needed for the five generic core dimensions of the Kids-CAT and the additional chronic–generic dimension.

Greenhalgh, J. (2009). The applications of PROs in clinical practice: What are they, do they work, and why? Quality of Life Research, 18(1), 115–123.CrossRefPubMed

Valderas, J., Kotzeva, A., Espallargues, M., Guyatt, G., Ferrans, C., Halyard, M. Y., et al. (2008). The impact of measuring patient-reported outcomes in clinical practice: A systematic review of the literature. Quality of Life Research, 17(2), 179–193.CrossRefPubMed

Varni, J. W., Burwinkle, T. M., & Lane, M. M. (2005). Health-related quality of life measurement in pediatric clinical practice: An appraisal and precept for future research and application. Health and quality of life outcomes, 3(1), 1.CrossRef

Nelson, E. C., Eftimovska, E., Lind, C., Hager, A., Wasson, J. H., & Lindblad, S. (2015). Patient reported outcome measures in practice. BMJ, 350, g7818.CrossRefPubMed

Dawson, J., Doll, H., Fitzpatrick, R., Jenkinson, C., & Carr, A. J. (2010). The routine use of patient reported outcome measures in healthcare settings. BMJ, 340, c186.CrossRefPubMed

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(1), 66.CrossRefPubMedPubMedCentral

Solans, M., Pane, S., Estrada, M. D., Serra-Sutton, V., Berra, S., Herdman, M., et al. (2008). Health-related quality of life measurement in children and adolescents: A systematic review of generic and disease-specific instruments. Value in Health, 11(4), 742–764.CrossRefPubMed

Kroenke, K., Monahan, P. O., & Kean, J. (2015). Pragmatic characteristics of patient-reported outcome measures are important for use in clinical practice. Journal of Clinical Epidemiology, 68(9), 1085–1092.CrossRefPubMedPubMedCentral

Higginson, I. J., & Carr, A. J. (2001). Using quality of life measures in the clinical setting. BMJ, 322(7297), 1297–1300.CrossRefPubMedPubMedCentral

10.

Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. London: Lawrence Erlbaum Associates.

11.

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(5 Suppl 1), S3.CrossRefPubMedPubMedCentral

12.

Devine, J., Otto, C., Rose, M., Barthel, D., Fischer, F., Mülhan, H., et al. (2015). A new computerized adaptive test advancing the measurement of health-related quality of life (HRQoL) in children: the Kids-CAT. Quality of Life Research, 24(4), 871–884.CrossRefPubMed

13.

Ravens-Sieberer, U., Herdman, M., Devine, J., Otto, C., Bullinger, M., Rose, M., et al. (2014). The European KIDSCREEN approach to measure quality of life and well-being in children: Development, current application, and future advances. Quality of Life Research, 23(3), 791–803.CrossRefPubMed

14.

Ravens-Sieberer, U., & The European KIDSCREEN Group. (2006). The KIDSCREEN questionnaires—quality of life questionnaires for children and adolescents—handbook. Lengerich: Pabst Science Publ.

15.

Starfield, B., Riley, A., Forrest, C., Green, B., Robertson, J., & Rajmil, L. (2007). Child health and illness profile (CHIP). A comprehensive assessment of health and functioning of children and adolescents. Baltimore: Johns Hopkins Bloomberg School of Public Health.

16.

Topolski, T., Edwards, T., & Patrick, D. (2002). User’s manual and interpretation guide for the youth quality of life (YQOL) instruments. Seattle: University of Washington.

17.

Devine, J., Otto, C., Rose, M., Barthel, D., Fischer, F., Mühlan, H., et al. (2015). Erratum to: A new computerized adaptive test advancing the measurement of health-related quality of life (HRQoL) in children: the Kids-CAT. Quality of Life Research, 24(9), 2303.CrossRefPubMed

18.

Muehlan, H., Schmidt, S., Devine, J., Walter, O., Fischer, F., Nolte, S., et al. (2014). Assessing disease-related quality of life in children and adolescents with chronic conditions: development and application of a chronic-generic CAT derived from the DISABKIDS framework. Quality of Life Research, 23, 4.

19.

Barthel, D., Fischer, K., Nolte, S., Otto, C., Meyrose, A.-K., Reisinger, S., et al. (2016). Implementation of the Kids-CAT in clinical settings: a newly developed computer-adaptive test to facilitate the assessment of patient-reported outcomes of children and adolescents in clinical practice in Germany. Quality of Life Research, 25, 585–594.CrossRefPubMed

20.

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

21.

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.CrossRefPubMed

22.

Felder-Puig, R., Frey, E., Proksch, K., Varni, J., Gadner, H., & Topf, R. (2004). Validation of the German version of the Pediatric Quality of Life InventoryTM (PedsQLTM) in childhood cancer patients off treatment and children with epilepsy. Quality of Life Research, 13(1), 223–234.CrossRefPubMed

23.

Wille, N., Badia, X., Bonsel, G., Burström, K., Cavrini, G., Devlin, N., et al. (2010). Development of the EQ-5D-Y: A child-friendly version of the EQ-5D. Quality of Life Research, 19(6), 875–886.CrossRefPubMedPubMedCentral

24.

Ravens-Sieberer, U., Wille, N., Badia, X., Bonsel, G., Burström, K., Cavrini, G., et al. (2010). Feasibility, reliability, and validity of the EQ-5D-Y: Results from a multinational study. Quality of Life Research, 19(6), 887–897.CrossRefPubMedPubMedCentral

25.

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.CrossRefPubMedPubMedCentral

26.

Bullinger, M. (1995). German translation and psychometric testing of the SF-36 health survey: preliminary results from the IQOLA project. Social Science and Medicine, 41(10), 1359–1366.CrossRefPubMed

27.

Schwarzer, R., & Jerusalem, M. (1995). Generalized Self-Efficacy scale. In J. Weinman, S. Wright & M. Johnston (Ed.), Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35–37). Windsor: NFER-NELSON.

28.

Schwarzer, R., & Jerusalem, M. (1999). Skalen zur erfassung von Lehrer-und Schülermerkmalen. Dokumentation der psychometrischen Verfahren im Rahmen der Wissenschaftlichen Begleitung des Modellversuchs Selbstwirksame schulen. Berlin: Freie Universität Berlin.

29.

Schwarzer, R., Mueller, J., & Greenglass, E. (1999). Assessment of perceived general self-efficacy on the Internet: Data collection in cyberspace. Anxiety Stress and Coping, 12(2), 145–161.CrossRef

30.

Huebner, E. S. (1991). Initial development of the student’s life satisfaction scale. School Psychology International, 12(3), 231–240.CrossRef

31.

Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75.CrossRefPubMed

32.

Huebner, E. S., & Alderman, G. L. (1993). Convergent and discriminant validation of a children’s life satisfaction scale: Its relationship to self-and teacher-reported psychological problems and school functioning. Social Indicators Research, 30(1), 71–82.CrossRef

33.

Epstein, N. B., Baldwin, L. M., & Bishop, D. S. (1983). The McMaster family assessment device. Journal of Marital and Family Therapy, 9(2), 171–180.CrossRef

34.

Byles, J., Byrne, C., Boyle, M. H., & Offord, D. R. (1988). Ontario child health study: Reliability and validity of the general functioning subscale of the McMaster Family Assessment Device. Family Process, 27(1), 97–104.CrossRefPubMed

35.

Miller, I. W., Epstein, N. B., Bishop, D. S., & Keitner, G. I. (1985). The McMaster family assessment device: Reliability and validity. Journal of Marital and Family Therapy, 11(4), 345–356.CrossRef

36.

Donald, C. A., & Ware, J. E. (1984). The measurement of social support. Research in Community and Mental Health, 4, 325–370.

37.

Lampert, T., Kroll, L. E., & Stolzenberg, H. (2013). Messung des sozioökonomischen status in der studie „Gesundheit in Deutschland aktuell“(GEDA). Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz, 56(1), 131–143.CrossRefPubMed

38.

Lampert, P. D. T., Müters, S., Stolzenberg, H., Kroll, L. E., & Group, K. S. (2014). Messung des sozioökonomischen status in der KiGGS-studie. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz, 57(7), 762–770.CrossRefPubMed

39.

Winkler, J., & Stolzenberg, H. (1999). Der Sozialschichtindex im Bundes-Gesundheitssurvey. Gesundheitswesen, 61(2), S178–S183.PubMed

40.

Brauns, H., Scherer, S., & Steinmann, S. (2003). The CASMIN educational classification in international comparative research. In Hoffmeyer-Zlotnik J.H.P., & Wolf, C. (Eds.) Advances in cross-national comparison (pp. 221–244). New York: Springer.

41.

Ganzeboom, H. B., De Graaf, P. M., & Treiman, D. J. (1992). A standard international socio-economic index of occupational status. Social Science Research, 21(1), 1–56.CrossRef

42.

Schenk, L., Bau, A.-M., Borde, T., Butler, J., Lampert, T., Neuhauser, H., et al. (2006). Mindestindikatorensatz zur erfassung des migrationsstatus. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz, 49(9), 853–860.CrossRefPubMed

43.

Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420.CrossRefPubMed

44.

Cicchetti, D. V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment, 6(4), 284.CrossRef

45.

Fayers, P., & Machin, D. (2013). Quality of life: the assessment, analysis and interpretation of patient-reported outcomes. Chichester: Wiley.

46.

Nunnally, J. C., & Bernstein, I. (1994). The assessment of reliability. Psychometric Theory, 3(1), 248–292.

47.

Hinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences. Belmont: Wadsworth Publishing.

48.

Maier, A., Holm, T., Wicks, P., Steinfurth, L., Linke, P., Münch, C., et al. (2012). Online assessment of ALS functional rating scale compares well to in-clinic evaluation: A prospective trial. Amyotrophic Lateral Sclerosis, 13(2), 210–216.CrossRefPubMedPubMedCentral

Titel: The validation of a computer-adaptive test (CAT) for assessing health-related quality of life in children and adolescents in a clinical sample: study design, methods and first results of the Kids-CAT study
Auteurs: D. Barthel
C. Otto
S. Nolte
A.-K. Meyrose
F. Fischer
J. Devine
O. Walter
A. Mierke
K. I. Fischer
U. Thyen
M. Klein
T. Ankermann
M. Rose
U. Ravens-Sieberer
Publicatiedatum: 09-11-2016
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 5/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-016-1437-9

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Abstract

Purpose

Methods

Results

Conclusions

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