Objective:
To provide an overview of the issues related to the measurement of disability outcomes among children and on an assessment of selected instruments.
Data Sources:
Published scientific English literature in the area of child development, public health, and outcomes research.
Study Selection:
Studies selected were those that provide global measures of health outcomes focusing on children. Those selected allowed data collection to address the effects of intervention on individual children or populations of children. Psychometric characteristics were also a part of the selection process.
Data Extraction:
Specific guidelines for assessing the instruments include the number of scales and index capability, breadth of domains, inclusion of norms, capacity to measure elements of the World Health Organization model of functioning and disability, item and scaling bias, respondent burden, administrative burden, and retest reliability.
Data Synthesis:
Thirteen instruments were included. The measures vary in their utility for broad versus specific applications, eg, clinical and public health uses. Children themselves are often not part of the assessment process. In addition, environmental influences on health outcomes of children are not adequately addressed.
Conclusion:
Although it is challenging to evaluate outcomes associated with children with disabilities, there are frameworks and instruments that will advance outcome measurement. Approaches that include children should be explored further, and the environmental influences including and beyond the family require further measurement development.
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Perceived Parent Needs for Improving Parent Participation in School-Based Therapies for Children with Disabilities Using the Parent-Therapist Partnership Survey.
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J Autism Dev Disord. 2024; .
PMID: 38393438
DOI: 10.1007/s10803-024-06282-w.
Tools Evaluating Child Oral Health-Related Quality of Life.
Chai H, Gao S, Chen K, Lo E, Duangthip D, Chu C
Int Dent J. 2023; 74(1):15-24.
PMID: 37482502
PMC: 10829350.
DOI: 10.1016/j.identj.2023.07.004.
Quality of Life (QoL) of Children and Adolescents Participating in a Precision Medicine Trial for High-Risk Childhood Cancer.
Hetherington K, Wakefield C, Kunalan K, Donoghoe M, McGill B, Fardell J
Cancers (Basel). 2022; 14(21).
PMID: 36358729
PMC: 9656810.
DOI: 10.3390/cancers14215310.
The Pediatric Toronto Extremity Salvage Score (pTESS): Validation of a Self-reported Functional Outcomes Tool for Children with Extremity Tumors.
Piscione J, Barden W, Barry J, Malkin A, Roy T, Sueyoshi T
Clin Orthop Relat Res. 2019; 477(9):2127-2141.
PMID: 31299028
PMC: 7000085.
DOI: 10.1097/CORR.0000000000000756.
Health-related quality of life of children with physical disabilities: a longitudinal study.
Law M, Hanna S, Anaby D, Kertoy M, King G, Xu L
BMC Pediatr. 2014; 14:26.
PMID: 24476085
PMC: 3911963.
DOI: 10.1186/1471-2431-14-26.
Is There any Difference in Health Related Quality of Life, Self Care and Social Function in Children with Different Disabilities Living in Turkey?.
Elbasan B, Duzgun I, Oskay D
Iran J Pediatr. 2013; 23(3):281-8.
PMID: 23795250
PMC: 3684472.
A critical review of audiological outcome measures for infants and children.
Bagatto M, Moodie S, Seewald R, Bartlett D, Scollie S
Trends Amplif. 2011; 15(1):23-33.
PMID: 21873343
PMC: 4040835.
DOI: 10.1177/1084713811412056.
Quality of life in clinical trials for children.
Trama A, Dieci M
Eur J Clin Pharmacol. 2010; 67 Suppl 1:41-7.
PMID: 21104074
DOI: 10.1007/s00228-010-0924-0.
Adolescents' wellbeing and functioning: relationships with parents' subjective general physical and mental health.
Giannakopoulos G, Dimitrakaki C, Pedeli X, Kolaitis G, Rotsika V, Ravens-Sieberer U
Health Qual Life Outcomes. 2009; 7:100.
PMID: 20003508
PMC: 2804705.
DOI: 10.1186/1477-7525-7-100.
Validity and reliability of the Child Perceptions Questionnaires applied in Brazilian children.
Barbosa T, Tureli M, Gaviao M
BMC Oral Health. 2009; 9:13.
PMID: 19450254
PMC: 2696414.
DOI: 10.1186/1472-6831-9-13.
Wait times for paediatric rehabilitation.
Grilli L, Feldman D, Swaine B, Gosselin J, Champagne F, Pineault R
Healthc Policy. 2009; 2(3):e171-87.
PMID: 19305712
PMC: 2585457.
Assessing self-care and social function using a computer adaptive testing version of the pediatric evaluation of disability inventory.
Coster W, Haley S, Ni P, Dumas H, Fragala-Pinkham M
Arch Phys Med Rehabil. 2008; 89(4):622-9.
PMID: 18373991
PMC: 2666276.
DOI: 10.1016/j.apmr.2007.09.053.
Assistive technology use among adolescents and young adults with spina bifida.
Johnson K, Dudgeon B, Kuehn C, Walker W
Am J Public Health. 2006; 97(2):330-6.
PMID: 17194874
PMC: 1781409.
DOI: 10.2105/AJPH.2004.050955.
Associations between a functional independence measure (WeeFIM) and the pediatric quality of life inventory (PedsQL4.0) in young children with physical disabilities.
Grilli L, Feldman D, Majnemer A, Couture M, Azoulay L, Swaine B
Qual Life Res. 2006; 15(6):1023-31.
PMID: 16900282
DOI: 10.1007/s11136-006-0041-9.
Uses of evidence in disability outcomes and effectiveness research.
Jette A, Keysor J
Milbank Q. 2002; 80(2):325-45.
PMID: 12101875
PMC: 2690106.
DOI: 10.1111/1468-0009.t01-1-00006.