Caring for Children With Autism in an Emergency Department Setting.

OBJECTIVE: Patients with autism spectrum disorder (ASD) and other developmental delays represent a unique patient population. We described a cohort of children with ASD cared for in an emergency department (ED) setting and the specific health care resources used for their care. METHODS: This is an observational study of consecutive children (<18 years) with ASD presenting for ED care. Comparisons of interest were evaluated using Wilcoxon rank sum and χ2 tests. Odds ratios (ORs) are reported with 95% confidence intervals (CIs). RESULTS: There were 238 ED visits over a 9-month period among 175 children. Median age was 9 years, and 62% were male. Reasons for ED visit were medical (51%), psychiatric (18%), injury/assault/trauma (16%), neurological (11%), and procedure related (4%.)Children with psychiatric complaints had longer lengths of stay than those with other chief complaints (P < 0.0001; OR, 5.8; CI, 2.8-11.9) and were more likely to have urine (OR, 8.5; CI, 3.9-18.3) and blood work ordered (OR, 2.5; CI, 1.2-4.9) and less likely to have x-rays ordered (OR, 0.10; CI, 0.02-0.44).Eighteen (8%) children received sedation. None required physical restraint. A total of 30% were admitted to the hospital. Those with psychiatric complaints were more likely to be admitted (54.8% vs 24.5%; OR, 3.7; CI, 1.9-7.4) than those with other chief complaints. CONCLUSIONS: The care for children with ASD varied with age and health care issues. There was a high prevalence of psychiatric complaints, and many of these children were boarded in the ED waiting for an inpatient psychiatric bed. Those with psychiatric complaints were more likely to have multiple tests ordered and were more likely to be admitted.

Characterization of emergency department abandonment using a real-time location system.

BACKGROUND: Patients who present to emergency departments (EDs) for evaluation but are noted to have left without being seen (LWBS) are potentially at great risk. Governmental agencies, such as the Centers for Medicare and Medicaid, as well as hospitals and health organizations, are examining the factors which drive LWBS, including accurately quantifying patient tolerance to wait times and targeting interventions to improve patient tolerance to waiting. OBJECTIVE: Compare traditional methods of estimating time to LWBS with an objective method using a real-time location tracking system (RTLS); examine temporal factors associated with greater LWBS rates. METHODS: This is a retrospective cohort study of all ED visits to a large, suburban, quaternary care hospital in one calendar year. LWBS was calculated as patient registration to nurse recognition and documentation of patient abandonment (traditional method) vs registration to last onsite RTLS timestamp (study method). Descriptives of patterns of patient abandonment rates and patient demographic data were also included. RESULTS: Our study shows that traditional methods of measuring LWBS times significantly overestimate actual patient tolerance to waiting times (median 70, mean 92 min). Patients triaged to resource intensive categories (Emergency Severity Index (ESI) 2, 3) wait longer than patients triaged to less resource intensive categories (ESI 4, 5). CONCLUSION: Compared to traditional methods, RTLS is an efficient and accurate way to measure LWBS rates and helps set the stage for assessing the efficacy of interventions to reduce LWBS and reduce the gap between those seeking evaluation at emergency departments and those ultimately receiving it.