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Stigma and its associated factors among patients with COVID-19 in Dhaka City: evidence from a cross-sectional investigation.
- Source :
- PeerJ; Oct2022, p1-17, 17p
- Publication Year :
- 2022
-
Abstract
- Background: Coronavirus disease 2019 (COVID-19) has become a significant disease pandemic. Dhaka City alone has contributed about one-third to the total COVID-19 cases in Bangladesh. Globally, patients with infectious diseases, including COVID-19, experience stigma. There was no quantitative estimate of stigma experienced by patients with COVID-19 in the country. Therefore, this study aimed to assess the prevalence of stigma and its associated factors among patients with COVID-19 in Dhaka. Methods: A cross-sectional study was conducted among 384 respondents aged 18 years or older who had been hospitalized or had stayed at home and were tested negative 15 days to 6 months before the day of data collection. Data collection was done through in-person and telephone interviews using a semi-structured survey questionnaire. A 15-item COVID-19-related stigma scale questionnaire was used to assess stigma. Binary logistic regression analysis was performed to identify the predictors of stigma. Results: More than half (53.1%) of the respondents experienced stigma when they were COVID-19 positive. Females were at a 3.24 times higher risk of experiencing stigma than their male counterparts. Respondents from the 60+ age group and 40-59 age group were 63.0% and 48.0% less likely to experience stigma than those from the 18-39 age group. Non-hospitalised patients had 1.67 times higher odds of facing stigma than those hospitalised. Conclusions: This study reported a high prevalence of stigma among the patients with COVID-19 in Dhaka City. The current evidence base of stigma experience among patients with COVID-19 offers a solid foundation for creating effective strategies and policies and designing appropriate interventions to counter stigma, which will improve the psychological well-being of patients with COVID-19 in Bangladesh. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21678359
- Database :
- Complementary Index
- Journal :
- PeerJ
- Publication Type :
- Academic Journal
- Accession number :
- 160603865
- Full Text :
- https://doi.org/10.7717/peerj.14092