Violence against health care workforce in COVID and non COVID times: Analysis of predisposing factors

Keywords: COVID Warriors, Predisposing Factors, Workplace Violence


Background: The prevalence of violence against Health Care Workers (HCW) is showing a rising trend. Various studies have been done in the recent past shows that the prevalence of violence against HCW s ranged from 27.4% to 67%. The present study was done to compare and analyze the underlying causes of violence against HCW in a Non COVID and COVID situation to identify the commonality if any, and to suggest any remedial measures. Methodology: This was cross-sectional analytical design and was carried out in inpatient care areas of a tertiary care hospital. The study subjects comprised of Doctors, Nurses, Group C employees. Data was collected using direct interview method on a standard questionnaire. In addition, various media reports were collected and analyzed through internet. Results: Maximum incidents were experienced in emergency and OPD, where staff patient’s ratio is less. 39.4% incidents were experienced by the staff who were providing care to the Terminally ill patients, Mentally and Physically disabled persons & Psychiatric patients. Suggestion which emerged to reduce WPV are, triage in casualty, availability of trained security guards, CCTV, restricted visiting hours and limited attendants with the patients, improvement in patient amenities etc. Whereas in COVID situation the major reason is the religious and social belief, poor dietary services and lack of hygiene and sanitation. Conclusion: There is an urgent and inescapable requirement that the healthcare administrators should address the underlying precipitating factors of violence, for delivery of quality healthcare services to the patients in a safe environment.


Download data is not yet available.
How to Cite
Garg N, Garg R, Sharma DK, Gupta SK, DUDEJA P. Violence against health care workforce in COVID and non COVID times: Analysis of predisposing factors. Indian J Community Health [Internet]. 2020Dec.31 [cited 2021Apr.22];32(4):659-64. Available from:
Original Article