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ORIGINAL ARTICLE
Year : 2020  |  Volume : 29  |  Issue : 2  |  Page : 298-301

Anxiety level among government employees admitted to dedicated COVID-19 hospital


1 Department of Community Medicine, AFMC, Pune, Maharashtra, India
2 Department of Anaesthesia, IHBAS, Delhi, India
3 Post Doc Fellow, John Hopkins University, Baltimore, Maryland, USA
4 Department of Psychiatry, AFMC, Pune, Maharashtra, India
5 Independent Researcher, Pune, Maharashtra, India

Correspondence Address:
Dr. Arun Kumar Yadav
Department of Community Medicine, Armed Forces Medical College, Pune - 411 040, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ipj.ipj_231_20

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Introduction: Patients of COVID-19 patients while in a hospital may have stigma, fear, and guilt among them. However, the data on anxiety among the admitted COVID-19 patients are lacking in India and elsewhere. Hence, the study was conducted among the admitted patient of COVID-19 to describe their anxiety status. Methods: The study was conducted as a cross-sectional study in a designated COVID-19 hospital in Delhi. The data were collected from October 22, 2020, to November 21, 2020. All patients who were admitted to the hospital for more than 72 h were eligible for participation. The data collection was done using a questionnaire. The questionnaire consists of two parts. One part was sociodemographic variables, and the other part was the Anxiety Scale. The anxiety score was collected on the Zung Self-Rating Anxiety Scale. Results: A total of 132 eligible patients were admitted during the period. The questionnaire was answered by 122 (92.4%) patients. All patients were male. The patients' mean age was 33.5 years (standard deviation = 8.9 years), with a range of 21 years–65 years. The mean score of the Zung Self-Rating Scale was 29.5 (7.2), with an interquartile range of 24–33. There were only five patients (4.4%; 95% confidence interval: 1.3%–9.3%) whose scores were 45 or more, indicating mild-to-moderate anxiety. There was no statistically significant association between any sociodemographic variable and Anxiety Rating Scale. Conclusion: The anxiety level in the specialized population was low due to social security. The level of anxiety among health-care workers may be further explored.


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