Date of Publication :8th August 2024

Abstract:It is found that 10% of the global population has some form of disability from different causes; in India, it is 3.8% of the population. Nearly 15-20% of physically disabled children are affected by Cerebral Palsy. In India, the estimated incidence is around 3/1000 live births. Cerebral palsy is the most common motor disability in childhood. Because of the developing nature of Indian health care in semi-urban and rural areas and the lack of technology used in these areas. Early specific forecasting of recovery may be helpful to set realistic goals, to plan proper discharge policy, and requirement of home adjustment and also social support. For the same, association should be found between different predictive factors and recovery in cerebral palsy subjects to develop and test a predictive model for post-cerebral palsy recovery. Participant information and method: Total of 15 participants with cerebral palsy were included in the study as per the inclusion and exclusion criteria. All the participants were then assessed using the newly developed Predictive Model for the Assessment of Sensory and Motor Functions. This model consisted of 30 questionnaires on the basis of which the subjects were screened for the sensory and motor dysfunction. The final data was analysed and compared with the standard scale (GMFS) and the results of the current study were established. Result: Predictive Model for the Assessment of Sensory and Motor Functions is a newly developed with good reliability and validity to assess the sensory and motor functions among children with cerebral palsy. Conclusion: Predictive Model for the Assessment of Sensory and Motor Functions is a set of questionnaires with good reliability and validity to assess the sensory and motor functions among children with cerebral palsy and can be used to assess the sensory and motor dysfunctions among children with disabilities following cerebral palsy.

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