Implementation of a Medical Clearance Algorithm for Psychiatric Emergency Patients.

BACKGROUND: Despite evidence demonstrating limited benefit, many clinicians continue to perform routine laboratory testing of well-appearing children to medically clear them before psychiatric admission. METHODS: We conducted a quality improvement project to reduce routine laboratory testing among pediatric patients requiring admission to our psychiatric unit. We convened key stakeholders whose input informed the modification of an existing pathway and the development of a medical clearance algorithm. Our outcome was a reduction in routine laboratory testing for children requiring psychiatric admission. Our balancing measure was the number of patients requiring transfer from the inpatient psychiatry unit to a medical service. We used run charts to evaluate nonrandom variation and demonstrate sustained change. RESULTS: Before the introduction of the new medical clearance algorithm, 93% (n = 547/589) of children with psychiatric emergencies received laboratory testing. After implementing the medical clearance algorithm, 19.6% (n = 158/807) of children with psychiatric emergencies received laboratory testing. Despite a decreased rate of routine testing, there were no transfers to the medical service. CONCLUSIONS: Implementing a medical clearance algorithm can decrease routine laboratory testing without increasing transfers to the medical service among children requiring psychiatric admission.

Impact of Universal Suicide Risk Screening in a Pediatric Emergency Department: A Discrete Event Simulation Approach.

OBJECTIVE: The aim of this study was to use discrete event simulation (DES) to model the impact of two universal suicide risk screening scenarios (emergency department [ED] and hospital-wide) on mean length of stay (LOS), wait times, and overflow of our secure patient care unit for patients being evaluated for a behavioral health complaint (BHC) in the ED of a large, academic children's hospital. METHODS: We developed a conceptual model of BHC patient flow through the ED, incorporating anticipated system changes with both universal suicide risk screening scenarios. Retrospective site-specific patient tracking data from 2017 were used to generate model parameters and validate model output metrics with a random 50/50 split for derivation and validation data. RESULTS: The model predicted small increases (less than 1 hour) in LOS and wait times for our BHC patients in both universal screening scenarios. However, the days per year in which the ED experienced secure unit overflow increased (existing system: 52.9 days; 95% CI, 51.5-54.3 days; ED: 94.4 days; 95% CI, 92.6-96.2 days; and hospital-wide: 276.9 days; 95% CI, 274.8-279.0 days). CONCLUSIONS: The DES model predicted that implementation of either universal suicide risk screening scenario would not severely impact LOS or wait times for BHC patients in our ED. However, universal screening would greatly stress our existing ED capacity to care for BHC patients in secure, dedicated patient areas by creating more overflow.

Improving Youth Suicide Risk Screening and Assessment in a Pediatric Hospital Setting by Using The Joint Commission Guidelines.

OBJECTIVES: Hospitals accredited by The Joint Commission (TJC) are now required to use a validated screening tool and a standardized method for assessment of suicide risk in all behavioral health patients. Our aims for this study were (1) to implement a TJC-compliant process of suicide risk screening and assessment in the pediatric emergency department (ED) and outpatient behavioral health clinic in a large tertiary care children's hospital, (2) to describe characteristics of this population related to suicide risk, and (3) to report the impact of this new process on ED length of stay (LOS). METHODS: A workflow using the Columbia Suicide Severity Rating Scale was developed and implemented. Monthly reviews of compliance with screening and assessment were conducted. Descriptive statistics were used to define the study population, and multivariable regression was used to model factors associated with high suicide risk and discharge from the ED. ED LOS of behavioral health patients was compared before and after implementation. RESULTS: Average compliance rates for screening was 83% in the ED and 65% in the outpatient clinics. Compliance with standardized assessments in the ED went from 0% before implementation to 88% after implementation. The analysis revealed that 72% of behavioral health patients in the ED and 18% of patients in behavioral health outpatient clinics had a positive suicide risk. ED LOS did not increase. The majority of patients screening at risk was discharged from the hospital after assessment. CONCLUSIONS: A TJC-compliant process for suicide risk screening and assessment was implemented in the ED and outpatient behavioral health clinic for behavioral health patients without increasing ED LOS.