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[HOSPITAL EMPLOYEES IN THE COVID-19 PANDEMIC: WORKING CONDITIONS, LOYALTY AND EMOTIONAL STATE].

作者信息

Bogdan I V, Malenkova N L, Malysheva E S, Pravednikov A V, Sirina E A, Chistyakova D P

机构信息

Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department, 115088, Moscow, Russia,

City Clinical Hospital N 52 of the Moscow Department of Public Health, 123182, Moscow, Russia.

出版信息

Probl Sotsialnoi Gig Zdravookhranenniiai Istor Med. 2021 Aug;29(Special Issue):1264-1270. doi: 10.32687/0869-866X-2021-29-s2-1264-1270.

DOI:10.32687/0869-866X-2021-29-s2-1264-1270
PMID:34792875
Abstract

The spread of the new coronavirus infection (COVID-19) required dramatic changes in the healthcare system, the work of medical workers under extreme stress and an increased threat of infection. In order to formulate general recommendations for preventive work with employees in emergency conditions, a study was carried out of the current nature of work, the emotional state of medical workers and staff loyalty. In a multidisciplinary hospital in Moscow (City Clinical Hospital N 52) in the fall of 2020, a survey of hospital employees (595 people) was carried out according to the author's questionnaire with the additional use of the methodology for measuring the burnout syndrome index (MBI) and loyalty index (eNPS). A number of changes in the nature of work of medical workers were revealed, which had a significant impact on their emotional state, such as changes in the usual functionality, place and mode of work. Despite the negative aspects of working conditions, during the pandemic, the employee loyalty index remained quite high (eNPS = 24), doctors were the most loyal, and junior and middle staff were the least loyal. The assessment of the organizational aspects of the work as a whole was also quite high. The close connection between psychoemotional factors and the loyalty of the organization's employees was confirmed. The study made it possible to offer general recommendations for the development of preventive algorithms for working with employees in case of emergency.

摘要

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