Current practice patterns of outpatient management of acute pulmonary embolism: A post-hoc analysis of the YEARS study

Background: Studies have shown the safety of home treatment of patients with pulmonary embolism (PE) at low risk of adverse events. Management studies focusing on home treatment have suggested that 30% to 55% of acute PE patients could be treated at home, based on the HESTIA criteria, but data from day-to-day clinical practice are largely unavailable. Aim: To determine current practice patterns of home treatment of acute PE in the Netherlands. Method: We performed a post-hoc analysis of the YEARS study. The main outcomes were the proportion of patients who were discharged <24 h and reasons for admission if treated in hospital. Further, we compared the 3-month incidence of PE-related unscheduled readmissions between patients treated at home and in hospital. Results: Of the 404 outpatients with PE included in this post-hoc analysis of the YEARS study, 184 (46%) were treated at home. The median duration of admission of the hospitalized patients was 3.0 days. The rate of PE-related readmissions of patients treated at home was 9.7% versus 8.6% for hospitalized patients (crude hazard ratio 1.1 (95% CI 0.57–2.1)). The 3-month incidence of any adverse event was 3.8% in those treated at home (2 recurrent VTE, 3 major bleedings and two deaths) compared to 10% in the hospitalized patients (3 recurrent VTE, 6 major bleedings and fourteen deaths). Conclusions: In the YEARS study, 46% of patients with PE were treated at home with low incidence of adverse events. PE-related readmission rates were not different between patients treated at home or in hospital

Allocating Emergency Beds Improves the Emergency Admission Flow

The increasing number of admissions to hospital emergency departments (EDs) during the past decade has resulted in overcrowded EDs and decreased quality of care. The emergency admission flow that we discuss in this study relates to three types of hospital departments: EDs, acute medical unit (AMUs), and inpatient wards. This study has two objectives: (1) to evaluate the impact of allocating beds in inpatient wards to accommodate emergency admissions and (2) to analyze the impact of pooling the number of beds allocated for emergency admissions in inpatient wards. To analyze the impact of various allocations of emergency beds, we developed a discrete event simulation model. We evaluate the bed allocation scenarios using three performance indicators: (1) the length of stay in the AMU, (2) the fraction of patients refused admission, and (3) the utilization of allocated beds. We develop two heuristics to allocate beds to wards and show that pooling beds improves performance. The partnering hospital has embedded a decision support tool based on the simulation model into its planning and control cycle. The hospital uses it every quarter and updates it with data on a 1-year rolling horizon. This strategy has substantially reduced the number of patients who are refused emergency admission