“Çocuk Sağlığı ve Hastalık Profili-CHIP-AE” Yaşam Kalitesi Ölçüm Aracının 12-17 Yaş Arası Ergenler için Geçerlik ve Güvenilirliği

Öz

Amaç: Bu araştırmada 1993 yılında Starfield tarafından geliştirilmiş olan Child Health an Illness Profile-CHIP-AE ölçüm aracının ergenler için kültürel adaptasyonu ile beraber, Türkçe versiyonunun geçerlilik ve güvenirliliğinin yapılması amaçlanmıştır. Gereç ve Yöntem: Araştırma örneklemini ESOGÜ Tıp Fakültesi Hastanesi Çocuk Sağlığı ve Hastalıkları Kliniğinde yatan ergenler ile, özel bir okulda eğitime devam eden 12–17 yaş ergen oluşturmuştur. CHIP-AE İngilizce orijinal versiyonunun ileri ve geri çevirileri yapılmıştır. Kültürel uyarlama süreci için tüm adımlar bir uzman komite tarafından gerçekleştirilmiştir. Geçerliliğin belirlenmesinde LİSREL istatistiksel program ile doğrulayıcı faktör analizi yapılmıştır. Bulgular: Çalışmada CHIP-AE (12-17) yaş Türkçe versiyonu; 252 hasta ergene [148 (%58,7) kız; 104 (%41,3) erkek], 223 [109 (%48,9) kız; 114 (%51,1) erkek] sağlıklı ergene uygulanmıştır. Yaş ortalamaları hasta ergenlerde 14,32±1,70; sağlıklı ergenlerde 14,57±1,51 olarak gerçekleşmiştir. Kullanılan CHIP-AE formunun güvenirlilik değerlendirilmesi hasta ergenlerde Cronbach’s α değerli 0,852; Sağlıklı ergenlerde 0,807 olarak gerçekleşmiştir. Bu değerin mükemmel güvenirlilik gösteren nitelikte olduğunu söyleyebiliriz. Yapı geçerliliği bağlamında Doğrulayıcı Faktör Analizi (DFA) uygulanmıştır. DFA ölçüm modeli uyum sonuçları: hasta ergenlerde x2=1622,07, df=1061, p-value=0,000, RMSEA=0,046; sağlıklı ergenlerde x2=2082,33, df=1208, p-value=0,000 RMSEA=0,057 olarak geçerlilik ölçümleri standartlara uygun olarak değerlendirilmiştir. Sonuç: Bu çalışma, Türk ergen grubu için geliştirilen versiyonun hem sağlıklı hem de hasta ergenler için yüksek geçerliliğe sahip olduğunu göstermektedir.

Anahtar Kelimeler

• Çocuk Sağlığı ve Hastalıkları Profili-CHIP-AE
• Çocuklarda Yaşam Kalitesi
• Adölesanlar

Validity and Reliability Testing of a Quality of Life Measurement Instrument “Child Health and Illness Profile-CHIP-AE” For Adolescents Aged Between 12 and 17

Öz

Objective: In this study, it was aimed to make a cultural adaptation of the Child Health and Illness Profile- Adolescents (CHIP-AE) measurement tool for adolescents, which was developed by Starfield in 1993, to analyze whether the Turkish version is reliable, valid and applicable. Material and Methods: The sample of the study consisted of adolescents aged between 12 and 17, receiving inpatient treatment in the Children’s Health and Diseases Clinic in the Faculty of Medicine at Eskisehir Osmangazi University, and adolescents aged between 12 and 17, studying in a private school. The original version of CHIP-AE in English was first translated into Turkish, and then back translated. All stages of the cultural adaptation were performed by a specialized committee. Confirmatory Factor Analysis was conducted on LISREL to test the validity of the instrument. Results: For the purpose of this study, the Turkish version of the CHIP-AE (12-17 years) was administered to 252 adolescents receiving inpatient treatment [148 (58.7%) female; 104 (41.3%) male] and 223 healthy adolescents [109 (48.9%) female; 114 (51.1%) male]. The average age was 14.32±1.70 in the group of ill adolescents, and 14.57±1.51 in the group of healthy adolescents. With regard to reliability, Cronbach’s was 0.852 in the group of ill adolescents, and 0.807 in the group of healthy adolescents. These values refer to perfect reliability. Confirmatory Factor Analysis (CFA) was conducted to test construct validity. Model fit results obtained in CFA were as follows: x2=1622.07, df=1061, p-value=0.000 RMSEA=0.046 in the group of ill adolescents; and x2=2082.33, df=1208, p-value=0.000 RMSEA=0.057 in the group of healthy adolescents. Thus, validity results comply with the standards. Conclusion: This study suggests that the version developed for Turkish adolescents has high validity for the groups of both healthy and ill Turkish adolescents.

Anahtar Kelimeler

• Child Health and Illness Profile-CHIP-AE
• Quality of Life For Children
• Adolescents

Kaynakça

1. 1. WHOQOL G. The World Health Organization Quality of Life assessment (WHOQOL): position paper from the World Health Organization. Special Issue on Health-Related Quality of Life: what is it and how should we measure it?. Social Science and Medicine 1995;41:1403–9.
2. 2. Demirsoy N, Sayligil O. Validity and reliability of a quality-of-life assessment instrument in children aged between 6 and 11 years. Ann Saudi Med 2016;36(4):269-281. https://doi.org/10.5144/0256- 4947.2016.269.
3. 3. Eser E, Yüksel H, Baydur H, Erhart M, Saatli G. The psychometric properties of the new turkish generic health-related quality of life questionnaire for children (Kid-KINDL). Türk Psikiyatri Dergisi 2008;19(4):409-17.
4. 4. Casas F. Children’s rights and children’s quality of life: conceptual and practical issues. Social Indicators Research 1997;42:283–98.
5. 5. Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Duer W, et al. The European KIDSCREEN Group, 2005, KIDSCREEN–52 qualityof- life measure for children and adolescents. Expert Review of Pharmaco economics and Outcomes Research 2005;5(3):353–64. https://doi.org/10.1586/14737167.5.3.353.
6. 6. Alonso J, Urzola D, Serra-Sutton V, Tebé C, Starfield B, Riley AW, Rajmil L. Validity of the health profile-types of the Spanish child health and illness profile-adolescent edition (CHIP-AE). Value in Health 2008; 11(3):440-49. https://doi.org/10.1111/j.1524-4733.2007.00290.x.
7. 7. Altshuler SJ, Poertner J. The child health and illness profileadolescent edition: assessing well-being in group homes or institutions. Child Welfaren 2002;81(3):495–513. https://doi. org/0009-4021/2002/030495-20.
8. 8. Bradford JY, O’Sullivan PS. The relationship between the use of health clinics in rural Mississippi schools and the CHIPAE adolescent health profile. J Sch Nurs 2007;23(5):293–8. https:// doi.org/10.1177/10598405070230050801.

9. 9. Chen SP, Chen EH. Application of modified CHIP-AE in a vocational high school. ABNF J 1999;10(5):104-10.
10. 10. Clarke S, Eiser C. The measurement of health-related quality of life (QOL) in paediatric clinical trials: a systematic review. Health and Quality of Life Outcomes 2004;2(66):1-5. https://doi. org/10.1186/1477-7525-2-66.
11. 11. Forrest CB, Starfield B, Riley AW, Kang M. The Impact of asthma on the health status of adolescents christopher. Pediatrics 1997;99(2):1-7. https://doi.org/10.1542/peds.99.2.e1.
12. 12. Keenaghan C, Kilroe J. A Study on the Quality of Life Tool KIDSCREEN for children and adolescents in Ireland Results of the KIDSCREEN National Survey 2005.Dublin: Published by The Stationery Office; 2008.p6-10.
13. 13. Starfield B, Riley AW, Green BF, Ensminger ME, Ryan SA, Kelleher K, et al. The adolescent child health and illness profile. A populationbased measure of health. Med Care 1995;33(5):553–66. https:// doi.org/10.1097/00005650-199505000-00008.
14. 14. Rajmil L, Serra-Sutton V, Alonso J, Herdman M, Riley AW, Starfield B. Validity of the Spanish version of the Child Health and Illness Profile (CHIP-AE). Med Care 2003;41:1153–63. https://doi.org/ 10.1097/01.MLR.0000088460.42155.65.
15. 15. Starfield B, Ensminger M, Riley A, McGauhey P, Skinner A, Kim S. et al. Adolescent health status measurement: development of the child health and illness profile. Pediatrics 1993;91:430-35.
16. 16. Riley A, Forrest C, Starfield B, Green B, Kang M, Ensminger M. Reliability and validity of the adolescent health profile-types. Med Care 1998;36:1237–48. https://doi.org/10.1097/00005650- 199808000-00011.
17. 17. Beaton D, Bombardier C, Guillemin F, Ferraz MB. Recommendations for the cross-cultural adaptation of the dash & quickdash outcome measures. Institute for Work & Health 2007;3-10.
18. 18. Bullinger M, Ravens-Sieberer U. General principles, methods and areas of application of quality of life research in children. Praxis der Kinderpsychologie und Kinderpsychiatrie 1995;44(10):391-99. https://doi.org/10.1023/a:1008853819715.
19. 19. Guillemin F, Bombardier C, Beaton D. Cross-cultural adaptation of health related quality of life measures:Literature review and proposed guidelines. C Clin Epidemiol 1993;46(12):1417-32. https://doi.org/10.1016/0895-4356(93)90142-n.
20. 20. Landgraf JM, Maunsell E, Speechley KN, Bullinger M, Campbell S, Abetz L. et al. Canadian-French, German and UK versions of the child health questionnaire: Methodology and preliminary item scaling results. Qual Life Res 1998;7(5):433-45.
21. 21. Raat H, Botterweck AM, Landgraf JM, Hoogeveen WC, Essink-Bot ML. Reliability and validity of the short form of the child health questionnaire for parents (CHQ-PF28) in large random school based and general population samples. J Epidemiol Community Health 2005;59(1):75-82. https://doi.org/10.1136/jech.2003.012914.
22. 22. Ware JE, Harris WJ, Gandek B. MAP-R for Windows: Multitrait/ Multi-item Analysis Program-Revised User’s Guide. Children’s Rights and Children’s Health Journal of Social Philosophy 1997;39(4):583-605.
23. 23. Sümer N. Structural equation model: basic concepts and cases. Türk Psikoloji Yazıları 2000;3(6):49-74.
24. 24. Sencan, H. Reliability and validity in social and behavioral measurements. Ankara; Seckin Publications; 2005.p.686-88.
25. 25. Rajmil L, Serra-Sutton V, Alonso J, Starfield B, Riley AW, Vazquez JR. The research group of the Spanish CHIP-AE the Spanish version of the Child Health and Illness Profile (CHIP-AE). Qual Life Res 2003;12:303–313. https://doi.org/10.1023/A:1023220912211.
26. 26. Serra-Sutton V, Rajmil L, Alonso J, Riley A, Starfield B.Reference population values for the Spanish Child Health and Illness Profile- Adolescent Edition (CHIP-AE) using a representative school-based sample. Gac Sanit 2003;17(3):181-9. https://doi.org/10.1016/ s0213-9111(03)71726-9.
27. 27. Gerson AC, Riley A, Fivush BA, Pham N, Fiorenza J, Robertson J, et al. Assessing health status and health care utilization in adolescents with chronic kidney disease. J Am Soc Nephrol 2005;16:1427-32. https://doi.org/10.1681/ASN.2004040258.
28. 28. Hack M, Cartar L, Schluchter M, Klein N, Forrest CB. Self-Perceived health, functioning and well-being of very low birth weight ınfants at age 20 years. J Pediatr 2007;151(6):635-41. https://doi. org/10.1016/j.jpeds.2007.04.063.
29. 29. Małkowska-Szkutnik A, Gajewski J, Mazur J, Gajewska K. Selfesteem predictors in adolescents with diabetes. Med Wieku Rozwoj 2012;16(1):35-46.
30. 30. Klosky JL, Howell CR, Li Z, Foster RH, Mertens AC, Robison LL, et al. Risky health behavior among adolescents in the childhood cancer survivor study cohort. J Pediatr Psychol 2012;37(6):634-46. https:// doi.org/10.1093/jpepsy/jss046.
31. 31. Bullinger M, Alonso J, Apolone G, Leplège A, Sullivan M, Wood- Dauphinee S, et al. Translating health status questionnaires and evaluating their quality: The IQOLA project approach. International Quality of Life Assessment. J Clin Epidemiol 1998;51:913–23. https://doi.org/10.1016/s0895-4356(98)00082-1.