RESUMO
BACKGROUND: During this pandemic everyone is facing the wrath of this novel coronavirus but nurses who are meticulously working in closed contact with diseased are at more risk for developing anxiety, depression and compromised quality of life. This study was conducted with an intent to identify anxiety, depression and quality of life and its predictors among nurses who are actively involved in caring of COVID-19 patients. METHODS: A cross-sectional online survey was carried out among nurses who were actively involved in COVID-19 duties at government tertiary health care institutes of India and data was collection through convenience sampling. Standardized tools (HADS, WHOQOL-BREF) were preferred for the assessment of participants' anxiety, depression and quality of life. Multivariate regression analysis was used to identify predictors for anxiety and depression. RESULTS: Of 354 nurses, 12.1% were suffering from anxiety while 14.7% had depression. Mean score for physical, psychological, social and environmental domains were 14.75 ± 1.86, 14.92 ± 2.46, 15.21 ± 3.01, and 14.48 ± 2.38 respectively. Nurses' education was a significant predictor for anxiety (odds ratio [OR] = -0.262, 95% CI: -0.510- -0.014, and P value = 0.038). Similarly for depression, designation of nurses acts as a contributing factor (odds ratio [OR] = 0.287, 95% CI: 0.016- 0.557, and P value = 0.038). CONCLUSION: Nurses are providing their services beyond boundaries so that we can overcome with hard time of COVID-19 pandemic. Although less but still nurses are suffering from anxiety and depression which need to be addressed to protect and enhance their mental well-being.
RESUMO
Background and Objectives Globally, stroke is one of the major causes of disability and mortality among adults and old age people. The present study aims to evaluate the effects of the health promotion model-based visual learning module (HPM-VLM) on self-efficacy and behavioral modifications among stroke survivors. Methods This nonrandomized controlled trial was conducted on 70 stroke survivors (intervention group, n = 35, and control group, n = 35). The intervention group was subjected to two sessions of the HPM-VLM and the control group received routine instructions. Data were collected through face-to-face structured interview, and observation using a self-structured self-efficacy questionnaire and health promotion behavior questionnaire. Data were analyzed using descriptive (frequency and percentage) and inferential (Chi-square, independent t -test, mixed model, and ANCOVA) values by IBM Statistical Package for Social Sciences (SPSS; version 23) software. Results Eventually, follow-up could have been completed for 66 participants (intervention group, n = 34, and control group, n = 32). HPM-VLM is found to be effective in the promotion of self-efficacy (19.2 ± 1.6 vs. 16.12 ± 2.5; p = 001) and health promotion behavior of stroke survivors in most of the domains ( p < 0.01). Conclusion HPM-VLM is an effective interventional tool for the promotion of self-efficacy and health promotion behavior of stroke survivors.
