Psychometric properties of the Sinhala version of the PedsQL™ 4.0 Generic Core Scales in early adolescents in Sri Lanka

Health and Quality of Life Outcomes

Lalini C Rajapaksa²  Manjula Nishanthi Danansuriya¹ 

[1] School & Adolescent Health Unit, Family Health Bureau, Ministry of Health, 231, De Saram Place, Colombo 10, Sri Lanka;Department of Community Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka

关键词: Psychometrics;    Health Related Quality of Life;    Children;    Adolescents;    Sri Lanka;    Sinhala;    PedsQL™;   

Others  :  825187
DOI  :  10.1186/1477-7525-10-105

 received in 2012-02-01, accepted in 2012-08-31,  发布年份 2012

【 摘 要 】

Background

The concept Health related Quality of life (HRQOL) is increasingly recognized as an important health outcome measure in clinical and research fields. The present study attempted to evaluate the psychometric properties of the Sinhala version of the Pediatric Quality of Life Inventory™ 4.0 (PedsQL™ 4.0) Generic Core Scales among adolescents in Sri Lanka.

Methods

The original US PedsQL™ was translated into Sinhala and conceptually validated according to international guidelines. A cross-sectional study was conducted among 142 healthy school going adolescents (12-14 years), their parents (n = 120) and a group of adolescents with asthma who attended asthma clinics (n = 115). Reliability was assessed using Cronbach’s alpha and validity by examining scale structure, exploring inter-scale correlations and comparing across known groups (healthy vs. chronically ill).

Results

The PedsQL™ Sinhala version was found to be acceptable with minimal missing responses. All scales demonstrated satisfactory reliability. Cronbach’s alpha for the total scale scores was 0.85 for adolescent self-report while for the parent proxy-report for the healthy group it was 0.86. No floor effects were observed. Ceiling effects were noticed in self-report and parent proxy-report for the healthy group. Overall results of the multi trait scaling analysis confirmed the scale structure with 74% item-convergent validity, 88% item-discriminant validity and an overall scaling success of 72%. Moderate to high correlations were shown among the domains of teen self-report (Spearman rho = .37-.54) and between teen self-report and parent proxy-reports (Spearman rho = .41-.57). The PedsQL™ tool was able to discriminate between the quality of life in healthy adolescents and adolescents with asthma.

Conclusion

The findings support the reliability and validity of the Sinhala version of the PedsQL™ 4.0 Generic Core Scales as a generic instrument to measure HRQOL among early adolescents in Sri Lanka in a population setting.

【 授权许可】

   
2012 Danansuriya and Rajapaksa; licensee BioMed Central Ltd.

【 参考文献 】

• [1]Sullivan M: The new subjective medicine: taking the patient’s point of view on health care and health. Soc Sci Med 2003, 56(7):1595-1604.
• [2]Bullinger M: Assessing health related quality of life in medicine: an overview over concepts, methods and applications in international research. Restorat Neurol Neurosci 2002, 20(3–4):93-101.
• [3]Edmond K, Dieye Y, Griffiths UK, Fleming J, Ba O, Diallo N, Mulholland K: Prospective cohort study of disabling sequelae and quality of life in children with bacterial meningitis in urban Senegal. Pediatr Infect Dis J 2010, 29(11):1023-1029.
• [4]Amiri P, Ardekani E M, Jalali-Farahani S, Hosseinpanah F, Varni J, Ghofranipour F, Montazeri A, Azizi F: Reliability and validity of the Iranian version of the Pediatric Quality of Life Inventory™ 4.0 Generic Core Scale in adolescents. Quality of Life Research 2010, 19(10):1501-1508.
• [5]Gunawardana N, Seneviratne RA, Atauda T: An approach to validation of a multi dimensional tool. Journal of the College of Community Physicians of Sri Lanka 2003, 8:18-24.
• [6]Jayasekara H, Rajapaksa LC: Determinants of quality of life in cancer patients during acute survivorship. Ann Epidemiol 2007, 17(9):739-739.
• [7]Nanayakkara SD: Vision-related quality of life among elders with cataract in Sri Lanka: findings from a study in Gampaha District. Asia-Pacific Journal of Public Health 2009, 21(3):303-311.
• [8]Wijesinghe RS, Wickremasinghe AR: Quality of life in filarial lymphoedema patients in Colombo, Sri Lanka. Trans R Soc Trop Med Hyg 2010, 104(3):219-224.
• [9]Solans M, Pane S, Estrada M-D, Serra-Sutton V, Berra S, Herdman M, Alonso J, Rajmil L: Health-related quality of life measurement in children and adolescents: a systematic review of generic and disease-specific instruments. Value in Health 2008, 11(4):742-764.
• [10]Varni JW, Burwinkle TM, Seid M: The PedsQL™ 4.0 as a school population health measure: feasibility, reliability, and validity. Quality of life research 2006, 15(2):203-215.
• [11]Upton P, Eiser C, Cheung I, et al.: Measurement properties of the UK-English version of the Pediatric Quality of Life Inventory™ 4.0 (PedsQL™) generic core scales. Health and Quality of Life Outcomes 2005, 3(1):22. BioMed Central Full Text
• [12]Reinfjell T, Diseth T, Veenstra M, Vikan A: Measuring health-related quality of life in young adolescents: Reliability and validity in the Norwegian version of the Pediatric Quality of Life Inventory™ 4.0 (PedsQL) Generic Core Scales. Health and Quality of Life Outcomes 2006, 4(1%M):61. BioMed Central Full Text
• [13]Gkoltsiou K, Dimitrakaki C, Tzavara C, Papaevangelou V, Varni JW, Tountas Y: Measuring Health-Related Quality of Life in Greek Children: Psychometric Properties of the Greek Version of the Pediatric Quality of Life Inventory™ 4.0 Generic Core Scales. Quality of Life Research 2008, 17(2):299-305.
• [14]Kook SH, Varni J: Validation of the Korean version of the pediatric quality of life inventory™ 4.0 (PedsQL™) Generic Core Scales in school children and adolescents using the Rasch model. Health and Quality of Life Outcomes 2008, 6(1):41. BioMed Central Full Text
• [15]Roizen M, Rodríguez S, Bauer G, Medin G, Bevilacqua S, Varni J, Dussel V: Initial validation of the Argentinean Spanish version of the PedsQL™ 4.0 Generic Core Scales in children and adolescents with chronic diseases: acceptability and comprehensibility in low-income settings. Health and Quality of Life Outcomes 2008, 6(1):59. BioMed Central Full Text
• [16]WHO: Constitution of the World Health Organization: Basic Document. Geneva, Switzerland: World Health Organization; 1948.
• [17]Varni JW, Seid M, Kurtin PS: 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 2001, 39(8):800-812.
• [18]Varni JW, Seid M, Rode CA: The PedsQL™: measurement model for the pediatric quality of life inventory. Medical Care 1999, 37(2):126-139.
• [19]PedsQL™ Translation Methodologyhttp://www.pedsql.org webcite
• [20]The MAPI Linguistic Validation Processhttp://www.mapi-institute.com/linguistic-validation webcite
• [21]Danansuriya MN, Rajapaksa LC, Varni JW: Reliability and validity of the Sinhala version of the PedsQLTM 3.0 Asthma Module in early adolescents with asthma in a district of Sri Lanka. Journal of the College of Community Physicians of Sri Lanka 2011, 16(1):8-16.
• [22]Tabachinik M, Fidell L: Using multivariate statistics. London: Harper and Row; 1993.
• [23]Hays R, Hayashi T, Carson S, Ware J: User’s guide for the Multi trait Analysis Programme (MAP). Santa Monica: RAND Corporation; 1988.
• [24]Varni J, Limbers C, Burwinkle T: Impaired health-related quality of life in children and adolescents with chronic conditions: a comparative analysis of 10 disease clusters and 33 disease categories/severities utilizing the PedsQL™ 4.0 Generic Core Scales. Health and Quality of Life Outcomes 2007, 5(1):43. BioMed Central Full Text
• [25]Cronbach L: Coefficient alpha and the internal structure of tests. Psychometrika 1951, 16:297-334.
• [26]Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, Bouter LM, deVet HC: Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 2007, 60(1):34-42.
• [27]Nunnally J, Bernstein I: Psychometric Theory vol.3. 3rd edition. New York: McGraw-Hill; 1994.
• [28]Campbell D, Fiske D: Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull 1959, 56:81-105.
• [29]Klatchoian DA, Len CA, Terreri MT, Silva M, Itamoto C, Ciconelli RM, Varni JW, Hilário MO: Quality of life of children and adolescents from Sao Paulo: reliability and validity of the Brazilian version of the pediatric quality of life inventory™ version 4.0 Generic Core Scales. J Pediatr 2008, 84(4):308-315.
• [30]Felder-Puig R, Baumgartner M, Topf R, Gadner H, Formann AK: Health-related quality of life in Austrian elementary school children. Medical Care 2008, 46(4):432-439.
• [31]Kobayashi K, Kamibeppu K: Measuring quality of life in Japanese children.: development of the Japanese version of PedsQL™. Pediatr Int 2010, 52:80-88.
• [32]Petersen S, Hägglőf B, Stenlund H, Bergstrőm E: Psychometric properties of the Swedish PedsQLTM, Peadiatric Quality of Life Inventory 4.0 Generic Core Scales. Acta Paediatrica 2009, 98:1504-1512.
• [33]Bastiaansen D, Koot H, Bongers I, Varni J, Verhulst F: Measuring quality of life in children referred for psychiatric problems: psychometric properties of the PedsQL™ 4.0 Generic Core Scales. Quality of Life Research 2004, 13(2):489-495.
• [34]Koot HM: The study of quality of life: concepts and methods. Hove: Brunner -Routledge; 2001.
• [35]Varni JW, Burwinkle TM, Rapoff MA, Kamps JL, Olson N: The PedsQL™ in Pediatric asthma: reliability and validity of the Pediatric Quality of Life Inventory™ Generic Core Scales and Asthma module. Journal of Behavioral Medicine 2004, 27(3):297-318.