“Depression, Anxiety and Stress among Nurses during Corona Lockdown in a Selected Teaching Hospital, Kaski, Nepal"

Abstract

Introduction: Mental health is as important as physical health to respond to COVID-19 pandemic. This pandemic has increased social isolation and fear regarding health and well-being as well as a dilemma which can lead to mental health problems among general people and health workers.Thus the main objective of this study was to assess the prevalence and factors associated with depression, anxiety and stress among nurses working in a hospital of Nepal during the period of Corona lockdown.

Methods: A cross-sectional study was carried out among 152 nurses working at Gandaki Medical College Teaching Hospital and Research Centre of Kaski district of Nepal. Data were collected using a structured self-administered questionnaire consisting of socio-demographic items and Depression, Anxiety and Stress Scale (DASS-42) scale from 11 April to 18 April, 2020. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 22 applying descriptive statistics and inferential statistical method.

Results: Respondent's mean age and SD was 24.09 + 3.19 years. The sample mean score of DASS-42 was 29.46 (SD 25.37). Depression, anxiety and stress were prevalent among 39.5%, 50% and 25.7% of the respondents respectively. There was significant association of depression with education level (χ2 =6.597; p=0.01) and working unit (χ2 =8.187; p=0.004). Anxiety was significantly associated with working unit (χ2 =6.973; p=0.008) and children status (χ2 =4.199; p=0.040). Stress was significantly associated with age (χ2 =4.906; p=0.027), working unit (χ2 =4.984; p=0.026) and children status (χ2 =5.653; p=0.017).

Conclusion: Based on findings, it can be concluded that some degree of depression, anxiety and stress were prevalent among nurses during COVID-19 pandemic. Further assessment should be made to confirm the respective diagnoses. Stress and anxiety relieving sessions and psychological support programs may help for the nurses with higher than cut-offs.