Outcome of Community-Based Early Intervention and Rehabilitation for Children with Cerebral Palsy in Rural Bangladesh: A Quasi-Experimental Study.
Tasneem KarimMohammad MuhitIsrat JahanClaire GaleaCatherine MorganHayley Smithers-SheedyNadia BadawiGulam KhandakerPublished in: Brain sciences (2021)
We evaluated the outcome of a community-based early intervention and habilitation for children with cerebral palsy (CP) in Bangladesh. Children registered on the Bangladesh CP Register (BCPR) were recruited in two groups for this study: Group A received a comprehensive six-month long community-based caregiver-led intervention program at the "Shishu Shorgo" (Bengali title, which translates to 'Children's Heaven') Early Intervention and Rehabilitation Centres developed to support participants from the BCPR. Group B received standard care. A quasi-experimental study was conducted. Data were obtained at baseline, at the end of the program (i.e., 6 months), and at a 12-month follow-up. Outcome measures for children included gross motor functional measure (GMFM-66), Communication Function Classification System (CFCS), and Viking Speech Scale (VSS) and, for adult caregivers, the depression, anxiety, and stress scale (DASS 21). Between October 2016 and March 2017, 156 children with CP were recruited (77 in Group A and 79 in Group B). The total score of GMFM-66, CFCS level, and VSS level significantly improved statistically in Group A (p < 0.05 for all) and deteriorated in Group B (p < 0.001, p = 0.095, p = 0.232). The intervention showed promising outcomes particularly for children with CP under five years of age. There is a need for caregiver-led community-based programs for children with CP in LMICs.
Keyphrases
- young adults
- randomized controlled trial
- children with cerebral palsy
- quality improvement
- healthcare
- depressive symptoms
- type diabetes
- public health
- south africa
- machine learning
- chronic pain
- deep learning
- electronic health record
- skeletal muscle
- health insurance
- data analysis
- childhood cancer
- artificial intelligence