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To describe the development of the Healthy Pathways Parent-Report Scales, measures of health, illness, well-being, and achievement among youth in middle childhood and adolescence.
The Healthy Pathways Scales were derived from the Child Health and Illness Profile (CHIP) instruments. The CHIP domains of Comfort, Risk Avoidance, Satisfaction, and Resilience were modified to reflect advances in child health conceptualization. Classical test and modern psychometric analyses were conducted using data collected from 1,527 parents of children aged 9–14 years. Intra-class correlation and differential item functioning analyses were used to evaluate the extent of child–parent agreement on the Healthy Pathways Scales.
After minor revisions, 11 of the 12 scales were found to measure unidimensional parent-assessed outcomes comprehensively (full range of the latent trait) and efficiently (a minimal number of items). Scales were unbiased by age, gender, and geographic location. The construct validity of the scales was supported by their capacity to differentiate children with and without chronic illnesses and to detect expected age and gender differences. Child–parent agreement was poor to moderate at both the scale and item levels.
The Healthy Pathways Parent-Report Scales may be used to reliably, accurately, and efficiently assess unidimensional aspects of health, illness, well-being, and achievement in clinical and population-based research studies involving youth in middle childhood and adolescence.
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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), 199–1220. CrossRef
Food and Drug Administration. (2006). Guidance for industry: Patient- reported outcome measures: Use in medical product development to support labeling claims.
DeCivita, M., Reiger, D., Alamgir, A. H., Anis, A. H., FitzGerald, M. J., & Marra, C. A. (2005). Evaluating health-related quality-of-life studies in paediatric populations: Some conceptual, methodological and developmental considerations and recent applications. Pharmacoeconomics, 23(7), 659–685. CrossRef
Bevans, K. B., Moon, J., Riley, A. W., & Forrest, C. B. (2010). Conceptual and methodological advances in child reported outcomes measurement. Pharmacoeconomics and Outcomes Research, 10(4), 385–396. CrossRef
Bevans, K., & Forrest, C. B. (2010). The reliability and validity of children’s self-reported health. In W. Ungar (Ed.), Economic evaluation of child health (pp. 33–54). New York: Oxford.
Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage.
Hays, R. D., Morales, L. S., & Reise, S. P. (2000). Item response theory and health outcomes measurement in the 21st century. Medical Care, 38(9 suppl 2), II28–II42.
Muthen, L. K., & Muthen, B. O. (1998–2004). MPlus user’s guide. Los Angeles, CA: Muthen & Muthen.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. CrossRef
Yen, W. M. (1993). Scaling performance assessments: Strategies for managing local item dependence. Journal of Educational Measurement, 30(3), 187–213. CrossRef
Linacre, J. (2004). A user’s guide to Winsteps Rasch- model computer program.
Feingold, A., & Mazzella, R. (1998). Gender differences in body image are increasing. Psychological Science, 9(3), 190–196. CrossRef
Jones, D. C. (2001). Social comparison and body image: Attractiveness comparisons to models and peer among adolescent girls and boys. Sex Roles, 45(9/10), 645–655. CrossRef
Trost, S. G., Pate, R. R., Sallis, J. F., Freedson, P. S., Taylor, W. C., Dowda, M., et al. (2002). Age and gender differences in objectively measured physical activity in youth. Medicine and Science in Sports and Exercise, 34(2), 47–58. CrossRef
Bjorkqvist, K., Legerspetz, K. M. J., & Kaukiainen, A. (1992). Do girls manipulate and boys fight? Developmental trends in regard to direct and indirect aggression. Aggressive Behavior, 18(2), 117–127. CrossRef
Power, T. J. (2006). Collaborative practices for managing children’s chronic health conditions. In L. Phelps (Ed.), Chronic health-related disorders in children: Collaborative medical and psychoeducational interventions. Washington, DC: American Psychological Association.
Birkhart, P. V., Svavarsdottir, E. K., Rayens, M. K., Oakley, M. G., & Orlygsdottir, B. (2009). Adolescents with asthma: Predictors of quality of life. Journal of Advanced Nursing, 65(4), 860–866. CrossRef
DeGoede, I. H. A., Branje, S. J. T., & Meeus, W. H. J. (2009). Developmental changes and gender differences in adolescents’ perceptions of friendships. Journal of Adolescence, 32(5), 1105–1123. CrossRef
Mendez, L. M. R., Mihalas, S. T., & Hardesty, R. (2006). Gender differences in academic development and performance. In G. G. Bear & K. M. Minke (Eds.), Children’s needs III: Development, prevention, and intervention (pp. 553–565). Washington, DC: National Association of School Psychologists.
Piko, B. (2001). Gender differences and similarities on adolescents’ ways of coping. Psychological Record, 51(2), 223–235.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum.
Koch, G. G. (1982). Intraclass correlation coefficient. In S. Kotz, N. L. Johnson. (Eds.), Encyclopedia of statistical sciences (pp. 213–217). New York: Wiley.
Brand, S., & Kirov, R. (2001). Sleep and its importance in adolescence and in common adolescent somatic and psychiatric conditions. International Journal of General Medicine, 4(3), 425–442.
Starfield, B. (1973). Health services research: A working model. New England Journal of Medicine, 289(3), 132.
Starfield, B., Bergner, M., Ensminger, M., Riley, A., Ryan, S., & Green, B. (1993). Adolescent health status measurement: Development of the child health and illness profile. Pediatrics, 91(3), 430–435. PubMed
Riley, A. W., Spiel, G., Coghill, D., Dopfner, M., Falissard, B., Lorenzo, M. J., et al. (2006). Factors related to health-related quality of life (HRQoL) among children with ADHD in Europe at entry into treatment. European Child and Adolescent Psychiatry, 5(1), 38–45. CrossRef
Wyrwich, K. W., Nelson, H. S., Tierney, W. M., Babu, A. N., Kroenke, K., & Wolinsky, F. D. (2003). Clinically important differences in health-related quality of life for patients with asthma: An expert consensus panel report. Annals of Allergy, Asthma & Immunology, 91(2), 148–153. CrossRef
Bjorner, J. B., Ware, J. E., Jr., & Kosinski, M. (2003). The potential synergy between cognitive models and modern psychometric models” Quality of life research: an international journal of quality of life aspects of treatment. Care and rehabilitation, 12(3), 261–274.
Center for Disease Control and Prevention. YRBSS 2009 questionnaires and item rationale. 2009. Retrieved September 3, 2009, from http://www.cdc.gov/HealthyYouth/yrbs/questionnaire_rationale.htm.
- Development of the Healthy Pathways Parent-Report Scales
Katherine B. Bevans
Anne W. Riley
Christopher B. Forrest
- Springer Netherlands