Implementation of simulation-based health systems science modules for resident physicians.

BACKGROUND: Health system science (HSS) encompasses both core and cross-cutting domains that emphasize the complex interplay of care delivery, finances, teamwork, and clinical practice that impact care quality and safety in health care. Although HSS skills are required during residency training for physicians, current HSS didactics have less emphasis on hands-on practice and experiential learning. Medical simulation can allow for experiential participation and reflection in a controlled environment. Our goal was to develop and pilot three simulation scenarios as part of an educational module for resident physicians that incorporated core and cross-cutting HSS domains.  METHODS: Each scenario included a brief didactic, an interactive simulation in small-group breakout rooms, and a structured debriefing. The case scenario topics consisted of educational leadership, quality and safety, and implementation science. Learners from four residency programs (psychiatry, emergency medicine, orthopedics, ophthalmology) participated January - March 2021. RESULTS: A total of 95 resident physicians received our curricular module, and nearly all (95%) participants who completed a post-session survey reported perceived learning gains. Emotional reactions to the session were positive especially regarding the interactive role-play format. Recommendations for improvement included participation from non-physician professions and tailoring of scenarios for specific disciplines/role. Knowledge transfer included use of multiple stakeholder perspectives and effective negotiation by considering power/social structures. CONCLUSIONS: The simulation-based scenarios can be feasibly applied for learner groups across different residency training programs. Simulations were conducted in a virtual learning environment, but future work can include in-person and actor-based simulations to further enhance emotional reactions and the reality of the case scenarios.

An Initiative to Improve Performance on a National Transition of Care Measure and to Reduce Readmissions in an Academic Psychiatric Hospital.

BACKGROUND: Inpatient psychiatry discharge planning through careful transition documentation may reduce adverse patient outcomes and decrease hospital readmissions. In 2017 a national psychiatry reporting program instituted a quality metric called the Transition Record with Specified Elements Received by Discharged Patients (TR-1). At Yale New Haven Psychiatric Hospital, the TR-1 metric had 0% provider compliance when the quality metric was instituted. The primary goal of this quality improvement project was to increase the TR-1 metric compliance through use of a structured clinical decision support (CDS) tool and, by extension, reduce the readmission rate. METHODS: This was a quality improvement project conducted in a 118-bed psych hospital from August 1, 2017, to July 31, 2020, and the preintervention period was from January 1 to July 31, 2017. Demographic and clinical diagnosis data were collected pre- and postintervention. A CDS tool composed of 11 discharge elements was developed and implemented. Primary measures were monthly TR-1 compliance rate as a process metric, and 30-day all-cause readmission rate as an outcome metric. RESULTS: The TR-1 compliance rate increased after CDS tool implementation, with a process mean of 48% in year 1, 56% in year 2, and 65% in year 3. The readmission rate was 9.6% for August 2017 to July 2018, 9.9% for August 2018 to July 2019, and 10.3% for August 2019 to July 2020. A slight upward trend in readmissions was observed over the course of the study, but this was not significant (p = 0.95). CONCLUSION: We found that implementing a CDS tool improved care transition documentation, which was sustained over time. However, the change was not associated with a decrease in 30-day readmission.

Shifts in inpatient psychiatry utilization patterns at a U.S. Academic Medical Center during the COVID-19 pandemic.

The COVID-19 pandemic has impacted utilization volumes and patterns for inpatient psychiatry, though reports have noted inconsistencies on small populations. We obtained demographic and diagnostic data from a retrospective cohort of admitted psychiatric patients at a single-site from March-July 2020 and the corresponding months in 2019. Despite controlling for the modest decrease in inpatient admissions, no statistically significant changes in demographics or utilization was found, except for an increase in patients with substance use disorder (p<0.001). These early findings highlight the demand and necessity for inpatient psychiatry services even during the first COVID-19 spike.

Epidemiology, Infection Prevention, Testing Data, and Clinical Outcomes of COVID-19 on Five Inpatient Psychiatric Units in a large Academic Medical Center.

Inpatient psychiatric facilities can face significant challenges in containing infectious outbreaks during the COVID-19 pandemic. The main objective of this study was to characterize the epidemiology, testing data, and containment protocols of COVID-19 in a large academic medical center during the height of the COVID-19 outbreak. A retrospective cohort analysis was conducted on hospitalized individuals on five inpatient psychiatric units from March 1st to July 8th, 2020. Demographic data collected include age, race, gender, ethnicity, diagnosis, and admission status (one or multiple admissions). In addition, a Gantt chart was used to assess outbreak data and timelines for one unit. Testing data was collected for patients admitted to inpatient psychiatric units, emergency room visits, and employees. 964 individuals were hospitalized psychiatrically. The study population included ethnically diverse patients with various mental illnesses. We also describe infection prevention strategies, screening, and triage protocols utilized to safely continue patient flow during and beyond the study period with a low patient and employee infection rate. In summary, our study suggests that early implementation of triage, screening, extensive testing, and unit-specific interventions can help prevent and contain the spread of COVID-19 in inpatient psychiatric units and help facilitate safe delivery of care during a pandemic.