Abstract
Scales currently validated to assess severity of chronic physical conditions in children are not well suited for limited-resource settings as they lack ease of use and interpretation. This study assessed the validity of the Global Assessment of Severity of Illness (GASI), a single-item scale designed for quick and simple assessment of illness severity in children with various chronic physical conditions. Study objectives were to examine validity, reliability, and responsiveness of the GASI. Clinicians assessed the severity of asthma, food allergy, epilepsy, diabetes, and juvenile arthritis in 55 children, and parents reported on children’s health-related quality of life. Area under the curve (AUC) computed by logistic regression and Kendall’s Tau-c (τc) assessed the strength of association between the GASI and other study measures. The kappa coefficient (κ), weighted kappa (κw), and McNemar’s test assessed stability in GASI ratings over time. The standardized response mean and Guyatt’s responsiveness index examined internal and external responsiveness of the GASI, respectively. The GASI correlated strongly with established severity scales (AUC = 0.83–0.96; τc = 0.57–0.78) and did not correlate with health-related quality of life (τc < 0.1). Moderate (κw = 0.57) to substantial (κ = 0.79) test–retest reliability was supported and the magnitude of responsiveness was large (d = 0.83–3.83). This study provided initial evidence of excellent construct validity and responsiveness in the GASI and also supported acceptable test–retest reliability in a clinical sample of children with physical conditions. Future research using larger samples should aim to replicate these findings to improve feasibility of standardized assessment in limited-resource settings and facilitate cross-condition comparisons in pediatric research.
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References
Anthoine, E., Moret, L., Regnault, A., Vronique, S., Hardouin, J.: Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health Qual. Life Outcomes 12(1), 176 (2014)
Bickman, L., Rosof-Williams, J., Salzer, M.S., Summerfelt, W.T., Noser, K., Wilson, S.J., Karver, M.S.: What information do clinicians value for monitoring adolescent client progress and outcomes? Prof. Psychol. Res. Pract. 31(1), 70–74 (2000)
Boateng, G.O., Neilands, T.B., Frongillo, E.A., Melgar-Quiñonez, H.R., Young, S.L.: Best practices for developing and validating scales for health, social, and behavioral research: a primer. Front. Public Health 6(1), 149 (2018)
Boswell, J.F., Kraus, D.R., Miller, S.D., Lambert, M.J.: Implementing routine outcome monitoring in clinical practice: benefits, challenges, and solutions. Psychother. Res. 25(1), 6–19 (2015)
Boyle, M.H., Duncan, L., Georgiades, K., Bennett, K., Gonzalez, A., Van Lieshout, R.J., Szatmari, P., MacMillan, H.L., Kata, A., Ferro, M.A., Lipman, E.L., Janus, M.: Classifying child and adolescent psychiatric disorder by problem checklists and standardized interviews. Int. J. Methods Psychiatr. Res. 26(4), e1544 (2017)
Butler, A., Van Lieshout, R.J., Lipman, E.L., MacMillan, H.L., Gonzalez, A., Gorter, J.W., Georgiades, K., Speechley, K.N., Boyle, M.H., Ferro, M.A.: Mental disorder in children with physical conditions: a pilot study. BMJ Open 8(1), e019011 (2018)
Chan, C.J., Zou, G., Wiebe, S., Speechley, K.N.: Global Assessment of the Severity of Epilepsy (GASE) scale in children: validity, reliability, responsiveness. Epilepsia 56(12), 1950–1956 (2015)
Cohen, J.: Statistical power analysis for the behavioural sciences, 2nd ed. Laurence Erlbaum Associates, New York (1988)
Comeau, J., Georgiades, K., Duncan, L., Wang, L., Boyle, M.H., and O. C. H. S. Team: Changes in the prevalence of child and youth mental disorders and perceived need for professional help between 1983 and 2014: evidence from the Ontario Child Health Study. Can. J. Psychiatry 64(4), 256–264 (2019)
Cook, S., Leschied, A.W., St Pierre, J., Stewart, S.L., den Dunnen, W., Johnson, A.M.: BCFPI validation for a high-risk high-needs sample of children and youth admitted to tertiary care. J. Can. Acad. Child Adolesc. Psychiatry 22(2), 147–152 (2013)
Cramer, J.A.: Assessing the severity of seizures and epilepsy: which scales are valid? Curr. Opin. Neurol. 14, 225–229 (2001)
Duncan, L., Georgiades, K., Wang, L., Van Lieshout, R.J., MacMillan, H.L., Ferro, M.A., Lipman, E.L., Szatmari, P., Bennett, K., Kata, A., Janus, M., Boyle, M.H.: Psychometric evaluation of the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). Psychol. Assess. 30(7), 916–928 (2018)
Ferro, M.A., Lipman, E.L., Van Lieshout, R.J., Boyle, M.H., Gorter, J.W., MacMillan, H.L., Gonzalez, A., Georgiades, K.: Mental–physical multimorbidity in youth: associations with individual, family, and health service use outcomes. Child Psychiatry Hum. Dev. 50, 400–410 (2019)
Georgiades, K., Duncan, L., Wang, L., Comeau, J., Boyle, M.H., and O. C. H. S. Team: Six-month prevalence of mental disorders and service contacts among children and youth in Ontario: evidence from the 2014 Ontario Child Health Study. Can. J. Psychiatry 64(4), 246–255 (2019)
Gidwani, R., Nguyen, C., Kofoed, A., Carragee, C., Rydel, T., Nelligan, I., Sattler, A., Mahoney, M., Lin, S.: Impact of scribes on physician satisfaction, patient satisfaction, and charting efficiency: a randomized controlled trial. Ann. Fam. Med. 15(5), 427–433 (2017)
Guyatt, G., Walter, S., Norman, G.: Measuring change over time: assessing the usefulness of evaluative instruments. J. Chronic Dis. 40(2), 171–178 (1987)
Guyatt, G., Drummond, R., Meade, M.O., Cook, D.J.: User's guide to the medical literature: a manual for evidence-based clinical practice, 2nd ed. McGraw-Hill, New York (2008)
Hasson, D., Arnetz, B.B.: Validation and findings comparing vas vs. likert scales for psychosocial measurements. Int. Electron. J. Health Ed. 8, 178–192 (2005)
Herzer, M., Godiwala, N., Hommel, K.A., Driscoll, K., Mitchell, M., Crosby, L.E., Piazza-Waggoner, C., Zeller, M.H., Modi, A.C.: Family functioning in the context of pediatric chronic conditions. J. Dev. Behav. Pediatr. 31(1), 26–34 (2010)
Hilliard, M.E., Lawrence, J.M., Modi, A.C., Anderson, A., Crume, T., Dolan, L.M., Merchant, A.T., Yi-Frazier, J.P., Hood, K.K.: Identification of minimal clinically important difference scores of the PedsQL in children, adolescents, and young adults with type 1 and type 2 diabetes. Diabetes Care 36(7), 1891–1897 (2013)
Horn, S.D., Chachich, B., Clopton, C.: Measuring severity of illness: a reliability study. Med. Care 21(7), 705–714 (1983)
Horn, S.D., Horn, R.A., Sharkey, P.D.: The Severity of Illness Index as a severity adjustment to diagnosis-related groups. Health Care Financ. Rev. Nov(suppl), 33–45 (1984)
Huntley, A.L., Johnson, R., Purdy, S., Valderas, J.M., Salisbury, C.: Measures of multimorbidity and morbidity burden for use in primary care and community settings: a systematic review and guide. Ann. Fam. Med. 10(2), 134–141 (2012)
Husted, J.A., Cook, R.J., Farewell, V.T., Gladman, D.D.: Methods for assessing responsiveness: a critical review and recommendations. J. Clin. Epidemiol. 53(5), 459–468 (2000)
Jaeschke, R., Singer, J., Guyatt, G.H.: Measurement of health status. Control. Clin. Trials 10(4), 407–415 (1989)
Johanson, G.A., Brooks, G.P.: Initial scale development: sample size for pilot studies. Educ. Psychol. Measur. 70(3), 394–400 (2010)
Koo, T.K., Li, M.Y.: A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med. 15(2), 155–163 (2016)
Lail, J., Schoettker, P.J., White, D.L., Mehta, B., Kotagal, U.R.: Applying the chronic care model to improve care and outcomes at a pediatric medical center. Jt. Comm. J. Qual. Patient Saf. 43(3), 101–112 (2017)
Lekoubou, A., Bishu, K.G., Ovbiagele, B.: The direct cost of epilepsy in children: evidence from the medical expenditure panel survey, 2003–2014. Epilepsy Behav. 83, 103–107 (2018)
Maxwell, C.: Sensitivity and accuracy of the visual analogue scale: a psycho-physical classroom experiment. Br. J. Clin. Pharmacol. 6(1), 15–24 (1978)
McDonald, E., Whitney, S., Horricks, L., Lipman, E.L., Ferro, M.A.: Parent-child agreement on the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). J. Can. Acad. Child Adolesc. Psychiatry 30(4), 264–272 (2021)
Miller, G.F., Coffield, E., Leroy, Z., Wallin, R.: Prevalence and costs of five chronic conditions in children. J. Sch. Nurs. 32(5), 357–364 (2016)
Norman, G.R., Sloan, J.A., Wyrwich, K.W.: Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation. Med. Care 41(5), 582–592 (2003)
Oltean, I.I., Ferro, M.A.: Agreement of child and parent-proxy reported health-related quality of life in children with mental disorder. Qual. Life Res. 28(3), 703–712 (2019)
Ousmen, A., Touraine, C., Deliu, N., Cottone, F., Bonnetain, F., Efficace, F., Bredart, A., Mollevi, C., Anota, A.: Distribution- and anchor-based methods to determine the minimally important difference on patient-reported outcome questionnaires in oncology: a structured review. Health Qual. Life Outcomes 16(1), 228 (2018)
Parkerson, G.R., Broadhead, W.E., Tse, C.J.: The Duke Severity of Illness checklist (DUSOI) for measurement of severity and comorbidity. J. Clin. Epidemiol. 46(4), 379–393 (1993)
Parkerson, G.R., Jr., Hammond, W.E., Yarnall, K.S.: Feasibility and potential clinical usefulness of a computerized severity of illness measure. Arch. Fam. Med. 3(11), 968–974 (1994)
Parkerson, G.R., Harrell, F.E., Hammond, W.E., Wang, X.: Characteristics of adult primary care patients as predictors of future health services charges. Med. Care 39(11), 1170–1181 (2001)
Paul-Dauphin, A., Guillemin, F., Virion, J.M., Briancon, S.: Bias and precision in visual analogue scales: a randomized controlled trial. Am. J. Epidemiol. 150(10), 1117–1127 (1999)
Qadeer, R.A., Ferro, M.A.: Child–parent agreement on health-related quality of life in children with newly diagnosed chronic health conditions: a longitudinal study. Int. J. Adolesc. Youth 23(1), 99–108 (2017)
Ravens-Sieberer, U., Auquier, P., Erhart, M., Gosch, A., Rajmil, L., Bruil, J., Power, M., Duer, W., Cloetta, B., Czemy, L., Mazur, J., Czimbalmos, A., Tountas, Y., Hagquist, C., Kilroe, J.: The KIDSCREEN-27 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Qual. Life Res. 16(8), 1347–1356 (2007)
Ravens-Sieberer, U., Herdman, M., Devine, J., Otto, C., Bullinger, M., Rose, M., Klasen, F.: The European KIDSCREEN approach to measure quality of life and well-being in children: development, current application, and future advances. Qual. Life Res 23(3), 791–803 (2014)
Reaume, S.V., Ferro, M.A.: Chronicity of mental comorbidity in children with new‐onset physical illness. Child Care Health Dev. 45(4), 559–567 (2019)
Reeves, S., Xyrichis, A., Zwarenstein, M.: Teamwork, collaboration, coordination, and networking: why we need to distinguish between different types of interprofessional practice. J. Interprof. Care 32(1), 1–3 (2018)
Schumacher, D.N., Parker, B., Kofie, V., Munns, J.M.: Severity of illness index and the adverse patient occurrence index: a reliability study and policy implications. Med. Care 25(8), 695–704 (1987)
Sheehan, D.V., Sheehan, K.H., Shytle, R.D., Janavs, J., Bannon, Y., Rogers, J.E., Milo, K.M., Stock, S.L., Wilkinson, B.: Reliability and validity of the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). J. Clin. Psychiatry 71(3), 313–326 (2010)
Sim, J., Wright, C.C.: The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys. Ther. 85, 257–268 (2005)
Snyder, E., Cai, B., DeMuro, C., Morrison, M.F., Ball, W.: A New single-item sleep quality scale: results of psychometric evaluation in patients with chronic primary insomnia and depression. J. Clin. Sleep Med. 14(11), 1849–1857 (2018)
Speechley, K.N., Sang, X., Levin, S., Zou, G.Y., Eliasziw, M., Smith, M.L., Camfield, C., Wiebe, S.: Assessing severity of epilepsy in children: preliminary evidence of validity and reliability of a single-item scale. Epilepsy Behav. 13(2), 337–342 (2008)
Speechley, K.N., Ferro, M.A., Camfield, C.S., Huang, W., Levin, S.D., Smith, M.L., Wiebe, S., Zou, G.: Quality of life in children with new-onset epilepsy: a 2-year prospective cohort study. Neurology 79(15), 1548–1555 (2012)
Stabile, M., Allin, S.: The economic costs of childhood disability. Future Child. 22(1), 65–96 (2012)
Stein, R.E., Gortmaker, S.L., Perrin, E.C., Perrin, J.M., Pless, I.B., Walker, D.K., Weitzman, M.: Severity of illness: concepts and measurements. Lancet 2(8574), 1506–1509 (1987)
Streiner, D.L., Norman, G.R., C. J. : Health measurement scales: a practical guide to their development and use, 5th ed. Oxford University Press, Oxford (2015)
Sullivan, P.W., Ghushchyan, V., Navaratnam, P., Friedman, H.S., Kavati, A, Ortiz, B., Lanier, B.: The national cost of asthma among school-aged children in the United States. Ann. Allergy Asthma Immunol. 119(3), 246–252 (2017)
Sun, X., Yang Z.: Generalized McNemar’s test for homogeneity of the marginal distributions. Proceedings of the SAS Global Forum 2008 Conference 382(2008), 1–10 (2008)
Svensson, E.: Concordance between ratings using different scales for the same variable. Stat. Med. 19, 3483–3496 (2000)
Tegethoff, M., Stalujanis, E., Belardi, A., Meinlschmidt, G.: Chronology of onset of mental disorders and physical diseases in mental-physical comorbidity–a national representative survey of adolescents. PLoS ONE 11(10), e0165196 (2016)
Tompke, B.K., Ferro, M.A.: Measurement Invariance and Informant Discrepancies of the KIDSCREEN-27 in Children with Mental Disorder. Appl. Res. Qual. Life 16(4), 891–910 (2021)
Varni, J.W., Limbers, C.A., Burwinkle, T.M.: 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 Qual. Life Outcomes 5, 43 (2007)
Von Korff, M., Tiemens, B.: Individualized stepped care of chronic illness. West J. Med. 172(2), 133–137 (2000)
Wolfe, F., Clauw, D.J., Fitzcharles, M.A., Goldenberg, D.L., Katz, R.S., Mease, P., Russell, A.S., Russell, I.J., Winfield, J.B., Yunus, M.B.: The American College of Rheumatology preliminary diagnostic criteria for fibromyalgia and measurement of symptom severity. Arthritis Care Res. 62(5), 600–610 (2010)
Zashikhina, A., Hagglof, B.: Health-related quality of life in adolescents with chronic physical illness in northern Russia: a cross-sectional study. Health Qual. Life Outcomes 12, 12 (2014)
Zimmerman, M., Ruggero, C.J., Chelminski, I., Young, D., Posternak, M.A., Friedman, M., Boerescu, D., Attiullah, N.: Developing brief scales for use in clinical practice: the reliability and validity of single-item self-report measures of depression symptom severity, psychosocial impairment due to depression, and quality of life. J. Clin. Psychiatry 67, 1536–1541 (2006)
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The authors gratefully acknowledge the children, parents, and health professionals and their staff without whose participation this study would not have been possible.
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This research was supported by a grant from the Canadian Institutes of Health Research (MOP-133645). Mr. Tompke was supported by funds from the Early Researcher Award from the Ministry of Research, Innovation and Science awarded to Dr. Ferro. Dr. Ferro holds the Canada Research Chair in Youth Mental Health.
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Tompke, B.K., Chaurasia, A., Perlman, C. et al. Initial validation of the global assessment of severity of illness. Health Serv Outcomes Res Method 22, 228–243 (2022). https://doi.org/10.1007/s10742-021-00260-w
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DOI: https://doi.org/10.1007/s10742-021-00260-w