Parent and Provider Differences in Ratings of Mental Health and Neurodevelopmental Concerns in Children with Neurologic Disorders.
Jessica M SchwartzmanZachary J WilliamsAndrew E MolnarPublished in: Journal of clinical psychology in medical settings (2024)
Children with neurologic disorders face increased risks for mental health and neurodevelopmental conditions, with information often limited to parent report. To better understand mental health and neurodevelopmental needs in this population, a retrospective chart review of a convenience sample of children with neurologic disorders referred for a neuropsychological evaluation was conducted in the present study to explore interrater agreement between care team members (referring providers, parents, pediatric neuropsychologist). Qualitative and quantitative data were collected from the evaluation reports of 129 youth (9:0-17:11 years old; 51.2% of female sex) with neurologic disorders (i.e., 38.0% traumatic brain injury, 27.1% epilepsy, 14.7% premature birth, 7.8% pediatric cancer, 3.9% prenatal substance exposure, and 14.7% other) who completed an evaluation in 2019. Over half the youth were flagged for unmet neurodevelopmental and mental health concerns and analyses revealed low interrater agreement for mental health concerns (κ = .324), better agreement for neurodevelopmental concerns (κ = .511), and low sensitivity of referring providers (Se = .326) and parents (Se = .366). One-way analyses of variance uncovered important factors (e.g., symptom severity, adaptive skills) that may account for missed concerns. Findings guide recommendations to strengthen methods for understanding mental health and/or neurodevelopmental concerns in children with neurologic disorders.
Keyphrases
- mental health
- young adults
- mental illness
- traumatic brain injury
- healthcare
- palliative care
- pregnant women
- primary care
- congenital heart disease
- squamous cell carcinoma
- quality improvement
- systematic review
- high resolution
- physical activity
- emergency department
- mass spectrometry
- mild cognitive impairment
- risk assessment
- electronic health record
- deep learning
- health insurance
- climate change
- artificial intelligence
- squamous cell