Fatigue experienced by people with cerebral palsy: a systematic review of assessment tools and decision tree

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
• Jahnsen R, Villien L, Stanghelle JK, et al. Fatigue in adults with cerebral palsy in Norway compared with the general population. Dev Med Child Neurol. 2003;45(5):296–303.
   PubMed Web of Science ®Google Scholar
• Jacobson DNO, Löwing K, Tedroff K. Health-related quality of life, pain, and fatigue in young adults with cerebral palsy. Dev Med Child Neurol. 2020;62(3):372–378.
   PubMed Web of Science ®Google Scholar
• Van Der Slot WMA, Nieuwenhuijsen C, Van Den Berg-Emons RJG, et al. Chronic pain, fatigue, and depressive symptoms in adults with spastic bilateral cerebral palsy. Dev Med Child Neurol. 2012;54(9):836–842.
   PubMed Web of Science ®Google Scholar
• Brunton LK. Descriptive report of the impact of fatigue and current management strategies in cerebral palsy. Pediatr Phys Ther. 2018;30(2):135–141.
   PubMed Web of Science ®Google Scholar
• Puce L, Pallecchi I, Chamari K, et al. Systematic review of fatigue in individuals with cerebral palsy. Front Hum Neurosci. 2021;15(March):1–16.
   Google Scholar
• Brunton LK, Rice CL. Fatigue in cerebral palsy: a critical review. Developmental Neurorehabilitation. 2012;15(1):54–62.
   PubMed Web of Science ®Google Scholar
• Bergqvist L, Öhrvall A-M, Rönnbäck L, et al. Evidence of construct validity for the modified mental fatigue scale when used in persons with cerebral palsy. Dev Neurorehabil. 2020;23(4):240–252.
   PubMed Web of Science ®Google Scholar
• Mokkink LB, Terwee CB, Patrick DL, et al. The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Qual Life Res. 2010;19(4):539–549.
   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
• Palisano RJ, Rosenbaum P, Bartlett D, et al. Content validity of the expanded and revised gross motor function classification system. Dev Med Child Neurol. 2008;50(10):744–750.
   PubMed Web of Science ®Google Scholar
• Eliasson A-C, Krumlinde-Sundholm L, Rösblad B, et al. The manual ability classification system (MACS) for children with cerebral palsy: scale development and evidence of validity and reliability. Dev Med Child Neurol. 2006;48(7):549–554.
   PubMed Web of Science ®Google Scholar
• Inter-rater reliability of the communication function classification system (CFCS) for adults and adolescents with cerebral palsy. Dev Med Child Neurol. 2016;58:87–87.
   Web of Science ®Google Scholar
• Tschirren L, Bauer S, Hanser C, et al. The eating and drinking ability classification system: concurrent validity and reliability in children with cerebral palsy. Dev Med Child Neurol. 2018;60(6):611–617.
   PubMed Web of Science ®Google Scholar
• Whitehead LPMN The measurement of fatigue in chronic illness: a systematic review of unidimensional and multidimensional fatigue measures. J Pain Symptom Manage. 2009;37(1):107–128.
   PubMed Web of Science ®Google Scholar
• Brunton LK, Bartlett DJ. Construction and validation of the fatigue impact and severity self-assessment for youth and young adults with cerebral palsy. Dev Neurorehabil. 2017;20(5):274–279.
   PubMed Web of Science ®Google Scholar
• Varni JW, Burwinkle TM, Katz ER, et al. The PedsQL™ in pediatric cancer: reliability and validity of the pediatric quality of life inventory™ generic core scales, multidimensional fatigue scale, and cancer module. Cancer. 2002;94(7):2090–2106.
   PubMed Web of Science ®Google Scholar
• Rossi D, Galant LH, Marroni CA. Psychometric property of fatigue severity scale and correlation with depression and quality of life in cirrhotics. Arq Gastroenterol. 2017;54(4):344–348.
   PubMedGoogle Scholar
• Varni JW, Burwinkle TM, Berrin SJ, et al. The PedsQL in pediatric cerebral palsy: reliability, validity, and sensitivity of the generic core scales and cerebral palsy module. Dev Med Child Neurol. 2006;48(6):442–449.
   PubMed Web of Science ®Google Scholar
• Lai J-S, Stucky BD, Thissen D, et al. Development and psychometric properties of the PROMIS pediatric fatigue item banks. Qual Life Res. 2013;22(9):2417–2427.
   PubMed Web of Science ®Google Scholar
• Coster WJ, Ni P, Slavin MD, et al. Differential item functioning in the patient reported outcomes measurement information system pediatric short forms in a sample of children and adolescents with cerebral palsy. Dev Med Child Neurol. 2016;58(11):1132–1138.
   PubMed Web of Science ®Google Scholar
• Michielsen HJ, De Vries J, Van Heck GL. Psychometric qualities of a brief self-rated fatigue measure: the fatigue assessment scale. J Psychosom Res. 2003;54(4):345–352.
   PubMed Web of Science ®Google Scholar
• Chalder T, Berelowitz G, Pawlikowska T, et al. Development of a fatigue scale. J Psychosom Res. 1993;37(2):147–153.
   PubMed Web of Science ®Google Scholar
• Worm-Smeitink M, Gielissen M, Bloot L, et al. The assessment of fatigue: psychometric qualities and norms for the checklist individual strength. J Psychosom Res. 2017;98:40–46.
   PubMed Web of Science ®Google Scholar
• Varni JW, Limbers CA. The pedsql™ multidimensional fatigue scale in young adults: feasibility, reliability and validity in a university student population. Qual Life Res. 2008;17(1):105–114.
   PubMed Web of Science ®Google Scholar
• Haley SM, Chafetz RS, Tian F, et al. Validity and reliability of physical functioning computer-adaptive tests for children with cerebral palsy. J Pediatr Orthop. 2010;30(1):71–75.
   PubMed Web of Science ®Google Scholar
• Krupp LB, LaRocca NG, Muir-Nash J, et al. The fatigue severity scale: application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989;46(10):1121–1123.
   PubMed Web of Science ®Google Scholar
• Smets EM, Garssen B, Bonke B, et al. The multidimensional fatigue inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995;39(3):315–325.
   PubMed Web of Science ®Google Scholar
• Brunton LK, Bartlett DJ. Profiles of fatigue severity and variability among adolescents and young adults with cerebral palsy. Fatigue. 2017;5(1):5–14.
   Web of Science ®Google Scholar
• Sandström K. The lived body—experiences from adults with cerebral palsy. Clin Rehabil. 2007;21(5):432–441.
   PubMed Web of Science ®Google Scholar
• Sawyer SM, Drew S, Yeo MS, et al. Adolescents with a chronic condition: challenges living, challenges treating. Lancet. 2007;369(9571):1481–1489.
   PubMed Web of Science ®Google Scholar
• Varni JW, Burwinkle TM, Sherman SA, et al. Health-related quality of life of children and adolescents with cerebral palsy: hearing the voices of the children. Dev Med Child Neurol. 2005;47(9):592–597.
   PubMed Web of Science ®Google Scholar
• Reid SM, Carlin JB, Reddihough DS. Using the gross motor function classification system to describe patterns of motor severity in cerebral palsy. Dev Med Child Neurol. 2011;53(11):1007–1012.
   PubMed Web of Science ®Google Scholar
• Verschuren O, Benner JL, Balemans ACJ, et al. Real-time daily fatigue, sleep, physical activity, and health-related fitness in adults with cerebral palsy. Dev Med Child Neurol. 2022; 65(4):509–516.
   PubMed Web of Science ®Google Scholar
• Compagnone E, Maniglio J, Camposeo S, et al. Functional classifications for cerebral palsy: correlations between the gross motor function classification system (GMFCS), the manual ability classification system (MACS) and the communication function classification system (CFCS). Res Dev Disabil. 2014;35(11):2651–2657.
   PubMed Web of Science ®Google Scholar
• Shevell MI, Dagenais L, Hall N, REPACQ Consortium Comorbidities in cerebral palsy and their relationship to neurologic subtype and GMFCS level. Neurology. 2009;72(24):2090–2096.
   PubMed Web of Science ®Google Scholar