Psychometric properties of the TACQOL-asthma,a disease-specific measure of health related quality-of-life for children with asthma and their parents

Abstract

The disease-specific-TACQOL-asthma questionnaire measures health-status and appraisal of health status. The TACQOL-asthma evaluates the personal feelings about problems in the domains, ‘complaints, situations, emotions, treatment and medication’. The TACQOL-asthma can be used alone or in combination with the generic TACQOL. Our objective was to study the psychometric properties of the TACQOL-asthma-questionnaire. Responses of 298 parents and children with asthma (age eight to 16 years) in four paediatric practices in the northern part of the Netherlands were studied. The factor-analysis and item-domain correlation analysis show a moderate to strong correlation between the different items and their hypothesised domains. For all items, the correlation of the separate item with the hypothesized domain is stronger than with any other domain. The internal consistency (Cronbach's alpha) of the domains is moderate to good. Concurrent correlation with the Paediatric-Asthma-Quality-of-Life-Questionnaire-(PAQLQ) was significant. Effect sizes of differences between asthma-severity classes in TACQOL-asthma and PAQLQ-scores were similar and of clinical importance. This study validates the TACQOL-asthma as a new disease-specific questionnaire. The TACQOL-asthma ensures a measurement of health status as well as appraisal ofhealth problems. The TACQOL-asthma has good reliability and validity properties to serve as an evaluative and discriminate disease-specifichealth-related-quality-of-life questionnaire.

Keywords

asthma disease-specific health-related-quality-of-life severity validation

References

1. Juniper EF . Effect of asthma on quality-of-life . CanRespir J 1998; 5 (Suppi A): 77A-84A .

2. Osman L , Silverman M . Measuring quality-of-life for young children with asthma and their families . Eur Respir J 1996; 21 (Suppl): 35s-41s .

3. Townsend M , Feeny DH , Guyatt GH et al. Evaluation of the burden of illness for pediatric asthmatic patients and their parents . Ann Allergy 1991; 67: 403-408 .

4. Moy ML , Israel E . Weiss ST et al. Clinical predictors of health-related quality-of-life depend on asthma severity. Am J Respir Crit Care Med 2001; 163: 924-929 .

5. Annett RD , Bender BG , Lapidus J et al. Predicting children's quality-of-life in an asthma clinical trial: what do children's reports tell us? J Pediatr 2001; 139: 854-861 .

6. Theunissen NCM , Vogels AGC , Koopman HM . The proxy problem: child report versus parent report in health-related quality-of-life research . Qual Life Res 1998; 7: 387-397 .

7. Gill TM , Feinstein AR . A critical appraisal of the quality of quality-of-life measurements . JAMA 1994; 272: 619-626 .

8. le Coq EM , Boeke AJ , Bezemer PD et al. Which source should we use to measure quality-of-life in children with asthma: the children themselves or their parents? Qual Life Res 2000; 9: 625-636 .

9. Eiser C , Morse R . A review of measures of quality-of-life for children with chronic illness . Arch Dis Child 2001; 84: 205-211 .

10.

10. Vami JW , Burwinkle TM , Rapof MA et al. The PedsQL in pediatric asthma: reliability and validity of the Pediatric Quality of Life Inventory Generic Core Scales and Asthma Module . Joumnal of Behav Med 2004; 27: 297-318 .

11.

11. Juniper EF , Guyatt GH , Feeny DH et al. Measuring quality-of-life in children with asthma . Qual Life Res 1996; 5: 35-46 .

12.

12. Rutishauser C , Sawyer SM , Bowes G . Quality-of-life assessment in children and adolescents with asthma . Eur Respir J 1998; 12: 486-494 .

13.

13. Landgraf JM , Maunsell E , Speechley KN et al. Canadian-French, German and UK versions of the Child Health Questionnaire: methodology and preliminary item scaling results . Qual Life Res 1998; 7: 433-445 .

14.

14. Sawyer MG , Spurrier N , Whaites L et al. The relationship between asthma-severity, family functioning and the health-related quality-of-life of children with asthma . Qual Life Res 2000; 9: 1105-1115 .

15.

15. French DJ , Carroll A , Christie MJ . Health-related quality-of-life in Australian children with asthma: lessons for the cross-cultural use of quality-of-life instruments . Qual Life Res 1998; 7: 409-419 .

16.

16. le Coq EM , Colland VT , Boeke AJ et al. Reproducibility, construct-validity, and responsiveness of the “How Are You?” (HAY), a self-report quality-of-life questionnaire for children with asthma . J Asthma 2000; 37: 43-58 .

17.

17. Verrips GH , Vogels AGC , Koopman HM . Measuring health-related quality-of-life in a child population . European Journal of Public Health 1999; 9: 188-193 .

18.

18. Vogels T , Verrips GH , Verloove-Vanhorick SP et al. Measuring health-related quality-of-life in children: the development of the TACQOL parent form . Qual Life Res 1998; 7: 457-465 .

19.

19. Standards for the diagnosis and care of patients with chronic obstructive pulmonary disease (COPD) and asthma . This official statement of the American Thoracic Society was adopted by the ATS Board of Directors, November 1986 . Am Rev Respir Dis 1987; 136: 225-244 .

20.

20. Hoekstra MO . Treatment of asthma in children; revised guidelines by pediatric pneumologists. Section of Pediatric Lung Diseases of the Dutch Association of Pediatric Medicine . Ned Tijdschr Geneeskd 1997; 141: 2223-2229 .

21.

21. Bland JM , Altman DG . Cronbach's alpha . BMJ 1997; 314: 572-572 .

22.

22. Global Initiative for Asthma (GINA) Global strategy for asthma management and prevention . NHLBI/WHO National lnstitutes of Health, National Heart Lung and Blood Institute . NIH Publication 1995; 95: 3659-3659 .

23.

23. Middel B , Stewart R , Bouma J et al. How to validate clinically important change in health-related functional status. Is the magnitude of the effect size consistently related to magnitude of change as indicated by a global question rating? J Eval Clin Pract 2001; Nov 7: 399-410 .