The effect of visual support strategies on the quality of life of children with cerebral palsy and cerebral visual impairment/perceptual visual dysfunction in Nigeria: study protocol for a randomized controlled trial

Roseline Duke, Komomo Eyong, Kathryn Burton, David MacLeod, Gordon N Dutton, Clare Gilbert, Richard Bowman, Roseline Duke, Komomo Eyong, Kathryn Burton, David MacLeod, Gordon N Dutton, Clare Gilbert, Richard Bowman

Abstract

Background: Cerebral visual impairment (CVI), including perceptual visual dysfunction (PVD), is common in children with cerebral palsy (CP). Inventories of questions relating to practical aspects of visual perception in everyday life, in particular the closed-ended Insight Questions Inventory (IQI), can be used to assess CVI/PVD. Studies linking responses to the inventory with specific visual support strategies, aimed at modifying the child's environment and/or behaviour to minimize the impact of the CVI/PVD, have been piloted. The IQI and tailored strategies have not been used in an African population, nor have they been tested in a controlled trial. This trial will compare the effectiveness of the IQI and linked visual support strategies versus general supportive treatments on the quality of life of children with CVI/PVD and CP through a randomized controlled trial.

Methods/design: This is a prospective, double-blind, parallel-arm, randomized controlled trial. The primary outcome is change in quality of life scores between the two arms of the trial at 6 weeks, assessed using the Paediatric Quality of Life Inventory (PedsQL) generic 4.0 and CP 3.0 module. All children will undergo baseline assessment including the Open Questions Inventory, IQI, PedsQL 3.0, PedsQL 4.0 generic, and the Strengths and Difficulties Questionnaire (SDQ). Eligible children with CP aged 4 years to < 16 years will be stratified and blocked by the age groups 4-9 and 10 to < 16 years and by Gross Motor Function Classification System (GMFCS) levels 1-3 and 4-5. Families in the intervention arm will receive tailored insight visual support strategies and telephone calls during the 6-week trial period. The control arm will receive standard treatment and the intervention after the 6-week trial period. Follow-up interviews will be performed in both arms at 6 weeks with a repeat administration of the PedsQL CP 4.0 and 3.0, the IQI and the SDQ. Secondary outcomes include a change in functional vision.

Discussion: This randomized controlled trial will provide evidence of the effectiveness of this intervention for children with CP in a resource-poor setting.

Trial registration: Pan African Clinical Trials Registration, PACTR201612001886396 . Registered on 3 December 2016.

Keywords: Cerebral palsy; Cerebral visual impairment; Insight Questions Inventory; Paediatric quality of life; Perceptual visual dysfunction; Visual support strategies.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
SPIRIT flow diagram. CP cerebral palsy, IQI Insight Questions Inventory, PedsQL Paediatric Quality of Life Inventory, SDQ Strengths and Difficulties Questionnaire

References

    1. Donald AK, Samia P, Kakooza-Mwesige A, Bearden D. Pediatric cerebral palsy in Africa: a systematic review. Semin Pediatr Neurol. 2014;21:30–35.
    1. Raina P, Rosenbaum P, Brehaut J, Walter S, Russell D, Swinton M, Zhu B. The health and well-being of caregivers of children with cerebral palsy. Pediatrics. 2005;115:626–636.
    1. Winter S, Boyle C, Yeargin-Allosop M. Trends in the prevalence of cerebral palsy in a population-based study. Pediatrics. 2002;110:1220–1225.
    1. Gladstone M. A review of the incidence and prevalence, types and aetiology of childhood cerebral palsy in resource-poor settings. Ann Trop Paediatr. 2010;30:181–196.
    1. Rosenbaum P, Paneth N, Leviton A, Goldstein M, Bax M, Damiano D, Dan B, Jacobson B. A report: the definition and classification of cerebral palsy April 2006. Dev Med Child Neurol Suppl. 2007;109:8–14.
    1. Shevell IM, Dagenais L, Hall N. On behalf of the REPACQ Consortium. Comorbidities in cerebral palsy and their relationship to neurologic subtype and GMFCS level. Neurology. 2009;72:2090–2096.
    1. Cooley WC. Providing a primary care medical home for children and youth with cerebral. Pediatrics. 2004;114:1106–1113.
    1. O’Shea MT. Diagnosis, treatment, and prevention of cerebral palsy in near-term/term infants. Clin Obstet Gynecol. 2008;51:816–828.
    1. Rosenbaum P, Walter SD, Hanna SE, Palisano R, Russell DJ, Raina P, et al. Prognosis for gross motor function in cerebral palsy. JAMA. 2002;288:1357–1363.
    1. Gunel KM, Mutlu A, Tulay T, Livanelioglu A. Relationship among the Manual Ability Classification System (MACS), the Gross Motor Function Classification System (GMFCS), and the functional status (WeeFIM) in children with spastic cerebral palsy. Eur J Pediatr. 2009;168:477–485.
    1. Bearden DR, Monokwane B, Khurana E, Baier J, Baranov E, Westmoreland K, Mazhani L, Steenhoff AP. Pediatric cerebral palsy in Botswana: etiology, outcomes, and comorbidities. Pediatr Neurol. 2016;59:23–29.
    1. Nottidge VA, Okogbo ME. Cerebral palsy in Ibadan Nigeria. Dev Med Child Neurol. 1991;33:241–245.
    1. Belonwu RO, Gwarzo GD, Adeleke SI. Cerebral palsy in Kano, Nigeria—a review. Niger J Med. 2009;18:186–189.
    1. Johnson MH. Functions in brain development in human. Nat Rev Neurosci. 2001;45:1566–1572.
    1. Cole M, Cole SR. The development of children. 4th end. New York: Worth Publ; 2001.
    1. Goodman R. The Strengths and Difficulties Questionnaire: a research. J Child Psychol Psychiat. 1997;38:581–586.
    1. Fazzi E, Signorini SG, LA Piana R, Bertone C, Misefari W, Galli J, Balottin U, Bianchi PE. Neuro-ophthalmological disorders in cerebral palsy: ophthalmological, oculomotor, and visual aspects. Dev Med Child Neurol. 2012;54:730–736.
    1. Ego A, Lidzba K, Brovedani P, Belmonti V, Gonzalez-Monge S, Boudia B, Ritz A, Cans C. Visual-perceptual impairment in children with cerebral palsy: a systematic review. Dev Med Child Neurol. 2015;57:46–51.
    1. Dutton GN. ‘Dorsal stream dysfunction’ and ‘dorsal stream dysfunction plus’: a potential classification for perceptual visual impairment in the context of cerebral visual impairment? Dev Med Child Neurol. 2009;51:168–172.
    1. Macintyre-Beon C, Ibrahim H, Hay I, Cockburn D, Calvert J, Dutton G. Dorsal stream dysfunction in children: a review and an approach to diagnosis and management. Curr Pediatr Rev. 2010;6:166–182.
    1. Mitry D, Northstone K, Akter A, Jewel J, Khan N, Muhit M, Gilbert C, Bowman R. Perceptual visual dysfunction, physical impairment and quality of life in Bangladeshi children with cerebral palsy. Br J Ophthalmol. 2016;0:1–6.
    1. Williams C, Northstone K, Sabates R, Feinstein L, Emond A, Dutton GN. Visual perceptual difficulties and under-achievement at school in a large community-based sample of children. PLoS One. 2011;6:1477–1482.
    1. Hyott CS. Visual function in the brain-damaged child. Eye. 2003;17(3):369–384.
    1. Ortibus E, Laenen A, Verhoeven J, De Cock P, Casteeel I, Schoolmeesters B, Buyuk A, Lagae L. Screening for cerebral visual impairment: value of a CVI questionnaire. Neuropediatrics. 2011;42:138–147.
    1. Stiers P, Vanderkelen R, Vanneste G, Coene S, De Rammelaere M, Vandenbussche E. Visual–perceptual impairment in a random sample of children with cerebral palsy. Dev Med Child Neurol. 2002;44:370–382.
    1. Boot FH, Pel JJ, Van der Steen J, Evenhuis HM. Cerebral visual impairment: which perceptive visual dysfunctions can be expected in children with brain damage? A systematic review. Res Dev Disabil. 2010;31:1149–1159.
    1. Guzzetta A, D’Acunto, Rose S, Tineli F, Boyd R, Cioni G. Plasticity of the visual system after early brain damage. Dev Med Clhild Neurol. 2010;52:891–900.
    1. McCulloch DL, Mackie RT, Dutton GN, Bradnam MS, Day RE, McDaid GJ, Phillips S, Herbert AM, Saunders KJ, Shepherd AJ. A visual skills inventory for children with neurological impairments. Dev Med Child Neurol. 2007;49:757–763.
    1. Chokron S, Dutton GN. Impact of Cerebral Visual Impairments on Motor Skills: Implications for Developmental Coordination Disorders. Front Psychol. 2016;7:1471.
    1. Ferziger NB, Nemet P, Brezner A, Feldman R, Galili G, Zivotofsky AZ. Visual assessment in children with cerebral palsy: implementation of a functional questionnaire. Dev Med Child Neurol. 2011;53:422–428.
    1. Houliston MJ, Taguri AH, Dutton GN, Young DG. Evidence of cognitive visual problems in children with hydrocephalus: a structured clinical history-taking strategy. Dev Med Child Neurol. 1999;41:298–306.
    1. Dutton GN. Structured history taking to characterize visual dysfunction and plan optimal habilitation for children with cerebral visual impairment. Dev Med Child Neurol. 2011;53:390.
    1. Committee on Quality of Health Care in America . Institute of Medicine. Crossing the quality chasm. A new health system for the 21st century. Washington, DC: National Academy Press; 2001.
    1. Ellenberg JH, Nelson KB. The association of cerebral palsy with birth asphyxia: a definitional quagmire. Dev Med Child Neurol. 2013;55:210–216.
    1. Van den Bos AMG, Triemstra HMA. Quality of life as an instrument for need assessment and outcome assessment of health care in chronic patients. Quality in Health Care. 1999;8:247–252.
    1. Whitley E, Ball J. Statistics review 4: sample size calculations. Crit Care. 2002;6:335–341.
    1. Murthy GV, Mactaggart I, Mohammad M, Islam J, Noe C, Khan AI, et al. Assessing the prevalence of sensory and motor impairments in childhood in Bangladesh using key informants. Arch Dis Child. 2014;99:1103–1108.
    1. Duke R, Otong E, Iso M, Okorie U, Ekwe A, Courtright P, Lewallen S. Using key informants to estimate prevalence of severe visual impairment and blindness in children in Cross River State, Nigeria. J AAPOS. 2013;17:381–384.
    1. Mung'ala-Odera V, Meehan R, Njuguna P, Mturi N, Alcock K, Carter JA, Newton CR. Validity and reliability of the ‘Ten Questions’ questionnaire for detecting moderate to severe neurological impairment in children aged 6-9 years in rural Kenya. Neuroepidemiology. 2004;23:67–72.
    1. Denver BD, Froude E, Rosenbaum P, Wilkes-Gillan S, Imms C. Measurement of visual ability in children with cerebral palsy: a systematic review. Dev Med Child Neurol. 2016;58:1016–1029.
    1. Saunders K, McClelland J, Richardson M, Stevenson Clinical judgement of near pupil responses provides a useful indicator of focusing ability in children with cerebral palsy. Dev Med Child Neurol. 2008;50:33–37.
    1. Hyvärinen L, Jacobs N. What and how does this child see? Assessment of visual functioning for development and learning. 1st ed: VISITEST (Helsinki-Finland); 2011.
    1. Bowman R., McCulloch D. L., Law E., Mostyn K., Dutton G. N. The 'mirror test' for estimating visual acuity in infants. British Journal of Ophthalmology. 2009;94(7):882–885.
    1. Vani JW, Burwinkle TM, Berrin SJ, Sherman SA, Malcarne LV, Chambers HG. The PedsQL in pediatric cerebral palsy: reliability, validity, and sensitivity of the Generic Core Scales and Cerebral Palsy Module. Dev Med Child Neurol. 2006;48:442–449.
    1. Moher D., Hopewell S., Schulz K. F, Montori V., Gotzsche P. C, Devereaux P J, Elbourne D., Egger M., Altman D. G. CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340(mar23 1):c869–c869.
    1. Pansell T, Hellgren K, Jacobson L, Brautaset R, Tedroff K. The accommodative process in children with cerebral palsy: different strategies to obtain clear vision at short distance. Dev Med Child Neurol. 2014;56:171–177.

Source: PubMed

Подписаться