COVID 19-related burnout among healthcare workers in India and ECG based predictive machine learning model: Insights from the BRUCEE- Li study

OBJECTIVES: COVID-19 pandemic has led to unprecedented increase in rates of stress and burn out among healthcare workers (HCWs). Heart rate variability (HRV) has been shown to be reflective of stress and burnout. The present study evaluated the prevalence of burnout and attempted to develop a HRV ba...

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Detalles Bibliográficos
Autores principales: Gupta, Mohit D., Jha, Manish Kumar, Bansal, Ankit, Yadav, Rakesh, Ramakrishanan, Sivasubramanian, Girish, M.P., Sarkar, Prattay G., Qamar, Arman, Kumar, Suresh, Kumar, Satish, Jain, Ajeet, Saijpaul, Rajni, Gupta, Vandana, Kansal, Deepankar, Garg, Sandeep, Arora, Sameer, Biswas, P.S., Yusuf, Jamal, Malhotra, Rajeev K., Batra, Vishal, Kathuria, Sanjeev, Mehta, Vimal, Safal, Shetty, Manu Kumar, Mukhopadhyay, Saibal, Tyagi, Sanjay, Gupta, Anubha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522680/
https://www.ncbi.nlm.nih.gov/pubmed/34673026
http://dx.doi.org/10.1016/j.ihj.2021.10.002

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