Catatonia as a Result of a Traumatic Brain Injury.

Catatonia is a neuropsychiatric syndrome typically marked by disturbances in motor activity, speech, and behavior. It has historically been associated with psychiatric illness, but acute medical illness, neurocognitive disorders, and neurodevelopmental disorders can cause catatonia as well. Catatonia is likely underrecognized and underdiagnosed in the general medical hospital, despite high risks of morbidity and mortality and the availability of rapidly effective treatment. Here, we present a case of catatonia secondary to traumatic brain injury that responded to lorazepam after a delayed diagnosis. A young male patient who was incarcerated and assaulted was sent to the emergency department multiple times for unresponsive and unpredictable behavior, including not agreeing to be released home. After being admitted with the diagnosis of postconcussive syndrome, he was ultimately diagnosed with catatonia, and intravenous lorazepam resulted in a return to his baseline mental status. We discuss factors that led to the delay in diagnosis, including lack of training in recognition of catatonia, suspicion of feigned symptoms for secondary gain, and the implication of stigma in an African American young male arrested for a drug-related crime.

The effect of electronic health record implementation on community emergency department operational measures of performance.

STUDY OBJECTIVE: We study the effect of an emergency department (ED) electronic health record implementation on the operational metrics of a diverse group of community EDs. METHODS: We performed a retrospective before/after analysis of 23 EDs from a single management group that experienced ED electronic health record implementation (with the majority of electronic health records optimized specifically for ED use). We obtained electronic data for 4 length of stay measures (arrival to provider, admitted, discharged, and overall length of stay) and 4 measures of operational characteristics (left before treatment complete, significant returns, overall patient satisfaction, and provider efficiency). We compared the 6-month "baseline" period immediately before implementation with a "steady-state" period commencing 6 months after implementation for all 8 metrics. RESULTS: For the length of stay measures, there were no differences in the arrival-to-provider interval (difference of -0.02 hours; 95% confidence interval [CI] of difference -0.12 to 0.08), admitted length of stay (difference of 0.10 hours; 95% CI of difference -0.17 to 0.37), discharged length of stay (difference of 0.07 hours; 95% CI of difference -0.07 to 0.22), and overall length of stay (difference of 0.11 hours; 95% CI of difference -0.04 to 0.27). For operational characteristics, there were no differences in the percentage who left before treatment was complete (difference of 0.24%; 95% CI of difference -0.47% to 0.95%), significant returns (difference of -0.04%; 95% CI of difference -0.48% to 0.39%), overall percentile patient satisfaction (difference of -0.02%; 95% CI of difference -2.35% to 2.30%), and provider efficiency (difference of -0.05 patients/hour; 95% CI of difference -0.11 to 0.02). CONCLUSION: There is no meaningful difference in 8 measures of operational performance for community EDs experiencing optimized ED electronic health record implementation between a baseline and steady-state period.