Telemedicine in the emergency department to decrease personal protective equipment use: a before-and-after study.

BACKGROUND: Personal protective equipment (PPE) used by healthcare workers was scarce during the COVID-19 pandemic. The aim of this study was to assess whether telemedicine (using iPads) reduced PPE use in emergency department (ED) patients who were treated in contact isolation, and whether telemedicine had a positive effect on patient anxiety and satisfaction. METHODS: We conducted a prospective single centre before-and-after study including ED patients ≥18 years who were treated in contact isolation. PPE use, the Hospital Anxiety Scale and the 15-item Picker Patient Experience Questionnaire were compared between the control period (8 April to 14 April 2020) and intervention period (15 April to 24 April 2020). RESULTS: We included 25 patients in each period. PPE use per patient was higher for physicians in the control period (mean 1.7; 95% CI 1.5 to 1.9) compared with the intervention period (mean 1.2; 95% CI 1.0 to 1.3, p<0.01). Total PPE use per patient contact for ED physicians decreased from 42 out of 42 patient contacts in the control period, to 29 out of 66 patient contacts in the intervention period (difference 54.3%; 95% CI 50.1% to 58.6%, p<0.01). Reported anxiety and satisfaction were not significantly different. CONCLUSION: PPE use by physicians can successfully be reduced by using telemedicine in the ED without increasing anxiety or dissatisfaction. This study was a first step to gain experience with telemedicine in the ED which has the potential to reduce PPE use in future pandemics or other patients with an indication for contact isolation.

Performance of the Manchester triage system in older emergency department patients: a retrospective cohort study.

BACKGROUND: Studies on the reliability of the MTS and its predictive power for hospitalisation and mortality in the older population have demonstrated mixed results. The objective is to evaluate the performance of the Manchester Triage System (MTS) in older patients (≥65 years) by assessing the predictive ability of the MTS for emergency department resource utilisation, emergency department length of stay (ED-LOS), hospitalisation, and in-hospital mortality rate. The secondary goal was to evaluate the performance of the MTS in older surgical versus medical patients. METHODS: A retrospective cohort study was conducted of all emergency department visits by patients ≥65 years between 01 and 09-2011 and 31-08-2012. Performance of the MTS was assessed by comparing the association of the MTS with emergency department resource utilisation, ED-LOS, hospital admission, and in-hospital mortality in older patients and the reference group (18-64 years), and by estimating the area under the receiver operating characteristics curves. RESULTS: Data on 7108 emergency department visits by older patients and 13,767 emergency department visits by patients aged 18-64 years were included. In both patient groups, a higher emergency department resource utilisation was associated with a higher MTS urgency. The AUC for the MTS and hospitalisation was 0.74 (95%CI 0.73-0.75) in older patients and 0.76 (95%CI 0.76-0.77) in patients aged 18-64 years. Comparison of the predictive ability of the MTS for in-hospital mortality in older patients with patients aged 18-64 years revealed an AUC of 0.71 (95%CI 0.68-0.74) versus 0.79 (95%CI 0.72-0.85). The majority of older patients (54.8%) were evaluated by a medical specialty and 45.2% by a surgical specialty. The predictive ability of the MTS for hospitalisation and in-hospital mortality was higher in older surgical patients than in medical patients (AUC 0.74, 95%CI 0.72-0.76 and 0.74, 95%CI 0.68-0.81 versus 0.69, 95%CI 0.67-0.71 and 0.66, 95%CI 0.62-0.69). CONCLUSION: The performance of the MTS appeared inferior in older patients than younger patients, illustrated by a worse predictive ability of the MTS for in-hospital mortality in older patients. The MTS demonstrated a better performance in older surgical patients than older medical patients regarding hospitalisation and in-hospital mortality.