Introduction: The severe acute respiratory syndrome-coronavirus 2 pandemic spread quickly. Health professionals are facing new challenges and looking for new ways to provide care in the context of lockdown and physical distancing. The Saint Vincent de Paul Hospital has leveraged its recent post-emergency teleconsultation solution (TELE-SCOPE), to address some COVID situations. Thanks to the usual follow-up teleconsultation within 24 h after their emergency discharge and the introduction of an additional one six days after, the eligible patients are able to return home earlier. This article provides feedback on how teleconsultation helps manage such a crisis. We also present an analysis of the treated population. Materials and methods: The study includes the cases of 239 patients presenting symptoms of COVID-19 infection with a COVID score <4 over a period from 16 March to 11 May 2020. These were patients from the emergency department (ED) or COVID units. We based our analysis on the patient's medical files and an individual survey. Results: One hundred and eighty-four teleconsultations (with video) and 143 phone calls were carried out. By the end of the teleconsultations, 92.9% were getting better and did not need further follow-up, 5.9% were reconvened to the ED, and 2.5% were hospitalized. No patient died, nor did get hospitalized in intensive care. In total, 95.6% are strongly or rather satisfied with the care provided by teleconsultation and 87.7% of patients are ready to reuse TELE-SCOPE as a means of monitoring in the context of the epidemic. Conclusion: The teleconsultations are efficient and safe to follow patients with confirmed or suspected non-severe COVID infection (COVID score <4) after discharge from the emergency room or hospitalisation. It protects the patients and practitioners. The patient's satisfaction is high.
CITATION STYLE
Chavda, E., Guedon-Moreau, L., Williatte, L., & Cordova, E. (2022). Post-emergency teleconsultations during COVID crisis: TELE-SCOPE tool’s feedback and epidemiological analysis. Digital Health, 8. https://doi.org/10.1177/20552076221081689
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