All Articles in september, 2020

Prevalence and measurement of anxiety and depression in nurses during COVID pandemic in Nepal

Published on: 28th September, 2020

OCLC Number/Unique Identifier: 8674562360

Background: Anxiety and depression are under reported, underdiagnosed mental illness in health worker in Nepal especially during COVID pandemic. The study was carried out as an observational study on nurses in Nepal. In this study we attempted to assess the incidence and impact of depression and anxiety in nurses who are working upfront in different hospitals during this crisis. Objective: The purpose of the study is to assess the prevalence of anxiety and depression among nurses in Nepal during COVID pandemic who are working in various hospitals. Method: A cross-sectional non-probability purposive sampling with observational analysis was carried out and the sample was collected from nurses working in different hospitals. Prevalence of anxiety and depression was assessed using a structured and validated questionnaire. Anxiety was assessed with the Hamilton Anxiety Scale (HAM-A), General Anxiety Disorder Questionnaires (GAD) with a cut-off score for various levels of anxiety while Hamilton Depression Rating Scale (HAM-D) was used to assess depression. Result: The analysis of these different scales revealed that disabling anxiety prevailed at highest (43.6%) in nursing staff according to HAM-A scale. Moderate anxiety also seemed to be higher (> 20%) in GAD questionnaire. Conclusion: This is the first study carried out in Nepal that investigates the mental health of nurses who are working in the frontline in this COVID pandemic situation. The study revealed that our nurses who have given their life in the line are suffering from serious mental health problems. 
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat

Audit of the effect of non-nasal specific scoring on the Postoperative SNOT22 questionnaire

Published on: 23rd September, 2020

OCLC Number/Unique Identifier: 8796534426

The Sino-nasal outcome test (SNOT22) has been widely adopted in clinical practice and has been declared as the most suitable sinonasal outcome scoring system. It is simple disease specific encompassing 22 symptoms reflecting health burden of the rhino- logical patients. Each item quantifies symptoms severity from 0(no problem) to 5 (worst symptom). The sum of each item results in a maximum score of 110. High score indicates poor outcome.
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat
Help ?

If you are already a member of our network and need to keep track of any developments regarding a question you have already submitted, click "take me to my Query."