A Cross-Sectional Study of Disparities in Healthcare Transition in Cerebral Palsy.
Gavin ColquittMario KekoHaresh D RochaniChristopher M ModleskyJoshua A VovaNathalie Linda MaitrePublished in: Journal of clinical medicine (2024)
Background: Cerebral palsy (CP) is the most common physical disability among children, affecting their lifespan. While CP is typically nonprogressive, symptoms can worsen over time. With advancements in healthcare, more children with CP are reaching adulthood, creating a greater demand for adult care. However, a significant lack of adult healthcare providers exists, as CP is predominantly considered a pediatric condition. This study compares the transition experiences of children with CP compared to those with other developmental disabilities (DDs) and typically developing children (TDC). Methods: This study utilizes cross-sectional data from the National Survey of Children's Health (NSCH) from 2016-2020, including 71,973 respondents aged 12-17. Children were categorized into three groups: CP ( n = 263), DD ( n = 9460), and TDC ( n = 36,053). The analysis focused on the receipt of transition services and identified demographic and socioeconomic factors influencing these services. Results: Only 9.7% of children with CP received necessary transition services, compared to 19.7% of children with DDs and 19.0% of TDC. Older age, female sex, non-Hispanic white ethnicity, and higher household income were significant predictors of receiving transition services. Children with CP were less likely to have private time with healthcare providers and receive skills development assistance compared to other groups. Conclusions: The findings highlight disparities and critical needs for targeted interventions and structured transition programs to improve the transition from pediatric to adult healthcare for children with CP. Addressing disparities in service receipt and ensuring coordinated, continuous care are essential for improving outcomes for children with CP.
Keyphrases
- healthcare
- young adults
- mental health
- physical activity
- cross sectional
- type diabetes
- multiple sclerosis
- public health
- affordable care act
- palliative care
- risk assessment
- adipose tissue
- quality improvement
- chronic pain
- big data
- health information
- metabolic syndrome
- skeletal muscle
- climate change
- deep learning
- drug delivery
- middle aged