Reliability and minimal detectable change of the Challenge, an advanced motor skills test for children with cerebral palsy, Danish version

References

• Bax M, Goldstein M, Rosenbaum P, et al. Proposed definition and classification of cerebral palsy, April 2005. Dev Med Child Neurol. 2005;47(8):571–576.
   PubMed Web of Science ®Google Scholar
• Chiarello LA, Palisano RJ, Bartlett DJ, et al. A multivariate model of determinants of change in gross-motor abilities and engagement in self-care and play of young children with cerebral palsy. Phys Occup Ther Pediatr. 2011;31(2):150–168.
   PubMed Web of Science ®Google Scholar
• van Gorp M, Van Wely L, Dallmeijer AJ, et al. Long-term course of difficulty in participation of individuals with cerebral palsy aged 16 to 34 years: a prospective cohort study. Dev Med Child Neurol. 2019;61(2):194–203.
   PubMed Web of Science ®Google Scholar
• Graham HK, Rosenbaum P, Paneth N, et al. Cerebral palsy. Nat Rev Dis Primers. 2016;2:15082.
   PubMed Web of Science ®Google Scholar
• Narayanan UG. Should children with cerebral palsy exercise? Dev Med Child Neurol. 2015;57(7):597–598.
   PubMed Web of Science ®Google Scholar
• Novak I, Hines M, Goldsmith S, et al. Clinical prognostic messages from a systematic review on cerebral palsy. Pediatrics. 2012;130(5):e1285–e1312.
   PubMed Web of Science ®Google Scholar
• Frøslev-Friis C, Dunkhase-Heinl U, Andersen JD, et al. Epidemiology of cerebral palsy in Southern Denmark. Dan Med J. 2015;62:A4990.
   PubMed Web of Science ®Google Scholar
• Westbom L, Hagglund G, Nordmark E. Cerebral palsy in a total population of 4–11 year olds in southern Sweden. Prevalence and distribution according to different CP classification systems. BMC Pediatr. 2007;7:41.
   PubMedGoogle Scholar
• Palisano R, Rosenbaum P, Walter S, et al. Development and reliability of a system to classify gross motor function in children with cerebral palsy. Dev Med Child Neurol. 1997;39(4):214–223.
   Google Scholar
• Rasmussen HM, Nordbye-Nielsen K, Moller-Madsen B, et al. The Danish cerebral palsy follow-up program. Clin Epidemiol. 2016;8:457–460.
   PubMed Web of Science ®Google Scholar
• Alriksson-Schmidt AI, Arner M, Westbom L, et al. A combined surveillance program and quality register improves management of childhood disability. Disabil Rehabil. 2017;39(8):830–836.
   PubMed Web of Science ®Google Scholar
• Oeffinger D, Bagley A, Rogers S, et al. Outcome tools used for ambulatory children with cerebral palsy: responsiveness and minimum clinically important differences. Dev Med Child Neurol. 2008;50(12):918–925.
   PubMed Web of Science ®Google Scholar
• Clutterbuck GL, Auld ML, Johnston LM. High-level motor skills assessment for ambulant children with cerebral palsy: a systematic review and decision tree. Dev Med Child Neurol. 2020;62(6):693–699.
   PubMed Web of Science ®Google Scholar
• Hanna SE, Rosenbaum PL, Bartlett DJ, et al. Stability and decline in gross motor function among children and youth with cerebral palsy aged 2 to 21 years. Dev Med Child Neurol. 2009;51(4):295–302.
   PubMed Web of Science ®Google Scholar
• Russell D, Rosenbaum P, Wright M, et al. Gross motor function measure (GMFM-66 and GMFM-88) user's manual. London: McKeith Press; 2013.
   Google Scholar
• Smits DW, Gorter JW, Hanna SE, et al. Longitudinal development of gross motor function among Dutch children and young adults with cerebral palsy: an investigation of motor growth curves. Dev Med Child Neurol. 2013;55(4):378–384.
   PubMed Web of Science ®Google Scholar
• Alotaibi M, Long T, Kennedy E, et al. The efficacy of GMFM-88 and GMFM-66 to detect changes in gross motor function in children with cerebral palsy (CP): a literature review. Disabil Rehabil. 2014;36(8):617–627.
   PubMed Web of Science ®Google Scholar
• Himuro N, Abe H, Nishibu H, et al. Easy-to-use clinical measures of walking ability in children and adolescents with cerebral palsy: a systematic review. Disabil Rehabil. 2017;39(10):957–968.
   PubMed Web of Science ®Google Scholar
• Rosenbaum PL, Russell DJ, Cadman DT, et al. Issues in measuring change in motor function in children with cerebral palsy: a special communication. Phys Ther. 1990;70(2):125–131.
   PubMed Web of Science ®Google Scholar
• Novak I, McIntyre S, Morgan C, et al. A systematic review of interventions for children with cerebral palsy: state of the evidence. Dev Med Child Neurol. 2013;55(10):885–910.
   PubMed Web of Science ®Google Scholar
• Wilson A, Kavanaugh A, Moher R, et al. Development and pilot testing of the challenge module: a proposed adjunct to the Gross Motor Function Measure for high-functioning children with cerebral palsy. Phys Occup Ther Pediatr. 2011;31(2):135–149.
   PubMed Web of Science ®Google Scholar
• Wright FV, Lam CY, Mistry B, et al. Evaluation of the reliability of the challenge when used to measure advanced motor skills of children with cerebral palsy. Phys Occup Ther Pediatr. 2018;38(4):382–394.
   PubMed Web of Science ®Google Scholar
• Clutterbuck G, Auld M, Johnston L. Active exercise interventions improve gross motor function of ambulant/semi-ambulant children with cerebral palsy: a systematic review. Disabil Rehabil. 2019;41(10):1131–1151.
   PubMed Web of Science ®Google Scholar
• Wright V, Avery L, Fehlings D, et al. Assessing advanced motor skills in young people with cerebral palsy in GMFCS levels I and II: Rasch analysis of the challenge. Dev Med Child Neurol. 2016;58:77–78.
   PubMedGoogle Scholar
• Hilderley AJ, Fehlings D, Chen JL, et al. Comparison of sports skills movement training to lower limb strength training for independently ambulatory children with cerebral palsy: a randomised feasibility trial. Disabil Rehabil. 2020;1–9.
   Google Scholar
• Levac D, McCormick A, Levin MF, et al. Active video gaming for children with cerebral palsy: does a clinic-based virtual reality component offer an additive benefit? A pilot study. Phys Occup Ther Pediatr. 2018;38(1):74–87.
   PubMed Web of Science ®Google Scholar
• Sousa Junior RR, Gontijo APB, Santos TRT, et al. Measurement properties and translation to Brazilian-Portuguese of the challenge for children and adolescents with cerebral palsy. Phys Occup Ther Pediatr. 2020;1–18.
   Google Scholar
• World Health Organization. Process of translation and adaptation of instruments. Geneva (Switzerland): World Health Organization; 2011.
   Google Scholar
• Beaton DE, Bombardier C, Guillemin F, et al. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976). 2000;25(24):3186–3191.
   PubMed Web of Science ®Google Scholar
• Gibson BE, Mistry B, Wright FV. Development of child and family-centered engagement guidelines for clinical administration of the challenge to measure advanced gross motor skills: a qualitative study. Phys Occup Ther Pediatr. 2018;38(4):417–426.
   PubMed Web of Science ®Google Scholar
• Bonett DG. Sample size requirements for estimating intraclass correlations with desired precision. Stat Med. 2002;21(9):1331–1335.
   PubMed Web of Science ®Google Scholar
• Tustin K, Gimeno H, Morton E, et al. Rater reliability and scoring duration of the Quality Function Measure in ambulant children with hyperkinetic movement disorders. Dev Med Child Neurol. 2016;58(8):822–828.
   PubMed Web of Science ®Google Scholar
• Klingels K, De Cock P, Desloovere K, et al. Comparison of the Melbourne Assessment of Unilateral Upper Limb Function and the Quality of Upper Extremity Skills Test in hemiplegic CP. Dev Med Child Neurol. 2008;50(12):904–909.
   PubMed Web of Science ®Google Scholar
• Thomas SS, Buckon CE, Phillips DS, et al. Interobserver reliability of the gross motor performance measure: preliminary results. Dev Med Child Neurol. 2001;43(2):97–102.
   PubMed Web of Science ®Google Scholar
• Sorsdahl AB, Moe-Nilssen R, Strand LI. Observer reliability of the Gross Motor Performance Measure and the Quality of Upper Extremity Skills Test, based on video recordings. Dev Med Child Neurol. 2008;50(2):146–151.
   PubMed Web of Science ®Google Scholar
• Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86(2):420–428.
   PubMed Web of Science ®Google Scholar
• Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–163.
   PubMed Web of Science ®Google Scholar
• Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–310.
   PubMed Web of Science ®Google Scholar
• Wong RK, McEwan J, Finlayson D, et al. Reliability and validity of the Acquired Brain Injury Challenge Assessment (ABI-CA) in children. Brain Inj. 2014;28(13–14):1734–1743.
   PubMed Web of Science ®Google Scholar
• Almeida KM, Albuquerque KA, Ferreira ML, et al. Reliability of the Brazilian Portuguese version of the Gross Motor Function Measure in children with cerebral palsy. Braz J Phys Ther. 2016;20(1):73–80.
   PubMed Web of Science ®Google Scholar
• Terwee CK, Vet CWeV, Mokkin LB. Measurement in medicine: a practical guide. Cambridge: Cambridge University Press; 2011.
   Google Scholar
• Reedman S, Boyd RN, Sakzewski L. The efficacy of interventions to increase physical activity participation of children with cerebral palsy: a systematic review and meta-analysis. Dev Med Child Neurol. 2017;59(10):1011–1018.
   PubMed Web of Science ®Google Scholar