Chrome Extension
WeChat Mini Program
Use on ChatGLM

Geographic Variation in Acute Pediatric Mental Health Utilization

Academic pediatrics(2023)

Cited 0|Views12
No score
Abstract
OBJECTIVE: To identify locations with higher need for acute pediatric mental health (MH) interventions or serv-ices and describe these communities' socio-demographic characteristics.METHODS: This single-center retrospective study included patients 5 to 18 years old with an emergency department (ED) or hospital admission between 2017 and 2019 for a primary known MH diagnosis or symptoms. We extracted visit data from the electronic medical record, mapped patients to their home census tract, calculated normalized visit rates by census tract, and performed spatial analysis to identify nonrandom geographic clusters and outliers of high utilization. Census tract utilization rates were stratified into quartiles, and socio-economic and demographic characteristics obtained from the US Census Bureau were compared using analysis of variance, chi-square tests, and multivariable analysis.RESULTS: There were 10,866 qualifying visits across 617 cen-sus tracts. ED and hospital admission rates ranged from 2.7 to 428.6 per 1000 children. High utilization clusters localized to neighborhoods with lower socioeconomic status (p < .05). Southern regions with high utilizers were more likely to have fewer children per neighborhood, higher rates of teen births, and lower socioeconomic status. Multivariate analysis showed regions with high utilizers had fewer children per neighbor-hood, lower median household income, and more families that lacked computer access.CONCLUSION: ED and hospital utilization for pediatric MH concerns varied significantly by neighborhood and demo-graphics. Divergent social factors map onto these locations and are related to MH utilization. Leveraging geography can be a powerful tool in the development of targeted, culturally tailored interventions to decrease acute pediatric MH utiliza-tion and advance child MH equity.
More
Translated text
Key words
geospatial analysis,health equity,mental health,social determinants of health
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined