Racial and Ethnic Disparities in Pediatric Mental Health-Related Emergency Department Visits

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Anna H. Abrams ◽  
Gia M. Badolato ◽  
Meleah D. Boyle ◽  
Robert McCarter ◽  
Monika K. Goyal
2014 ◽  
Vol 53 (14) ◽  
pp. 1359-1366 ◽  
Author(s):  
Alan E. Simon ◽  
Kenneth C. Schoendorf

We examined mental health–related visits to emergency departments (EDs) among children from 2001 to 2011. We used the National Hospital Ambulatory Medical Care Survey—Emergency Department, 2001-2011 to identify visits of children 6 to 20 years old with a reason-for-visit code or ICD-9-CM diagnosis code reflecting mental health issues. National percentages of total visits, visit counts, and population rates were calculated, overall and by race, age, and sex. Emergency department visits for mental health issues increased from 4.4% of all visits in 2001 to 7.2% in 2011. Counts increased 55 000 visits per year and rates increased from 13.6 visits/1000 population in 2001 to 25.3 visits/1000 in 2011 ( P < .01 for all trends). Black children (all ages) had higher visit rates than white children and 13- to 20-year-olds had higher visit rates than children 6 to 12 years old ( P < .01 for all comparisons). Differences between groups did not decline over time.


2018 ◽  
Vol 25 (5) ◽  
pp. 526-537 ◽  
Author(s):  
Katelyn E. Hall ◽  
Andrew A. Monte ◽  
Tae Chang ◽  
Jacob Fox ◽  
Cody Brevik ◽  
...  

2021 ◽  
pp. 1-9
Author(s):  
Kristen A. Morin ◽  
Matthiew D. Parrotta ◽  
Joseph K. Eibl ◽  
David C. Marsh

Background: This study evaluated how telemedicine as a modality for opioid agonist treatment compares to in-person care. Methods: We conducted a retrospective cohort study of patients enrolled in opioid agonist treatment between January 1, 2011, and December 31, 2015, in Ontario, Canada. We compared patients who received opioid agonist treatment predominantly in person, mixed, and predominantly by telemedicine. We used a logistic regression model to evaluate mortality, a Cox proportional hazard model to assess retention, and a negative binomial regression model to evaluate emergency department visits and hospitalizations. The study was performed using administrative health data with physician billing data from the Ontario Health Insurance Plan and prescription data from the Ontario Drug Benefit databases. Results: A total of 55,924 individuals were included in the study. Receiving opioid agonist treatment by predominantly telemedicine was not associated with all-cause mortality (OR = 0.9, 95% CI: 0.8–1.0), 1-year treatment retention (OR = 1.0, 95% CI: 0.9–1.1), or opioid-related emergency department visits and hospitalizations when compared to in-person care. The rate of emergency department visits (IRR = 1.4), the rate of mental health-related emergency department visits (IRR = 1.5), and the rate of mental health-related hospitalizations per year (IRR = 1.2) was higher for patients who received opioid agonist treatment predominantly by telemedicine compared to in person. Conclusion: Our findings support the conclusion that telemedicine is equal to in-person care regarding mortality opioid-related emergency department visits and retention, and is a viable option for those seeking opioid agonist treatment.


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