Knowledge and practice to prevent COVID-19 and its associated factors among pregnant women in Debre Tabor Town Northwest Ethiopia, a community-based cross-sectional study

Author:

Ayele Alemu Degu,Mihretie Gedefaye Nibret,Belay Habtamu Gebrehana,Teffera Adanech Getie,Kassa Bekalu Getnet,Amsalu Bedemariam Tadesse

Abstract

Abstract Background Coronavirus disease is now a global concern with the non-availability of antiviral treatment and attacks all groups of the population. Hence, applying preventive measures is the most critical intervention to control the infection. Pregnant women are particularly susceptible to respiratory pathogens because of their immunosuppressive state and physiological adaptive change during pregnancy. Therefore, this study was aimed to assess knowledge and practice to prevent coronavirus disease and its associated factors among pregnant women in Debre Tabor Town. Methods Community-based cross-sectional study was conducted among 422 participants from May 25–June 15, 2020. A simple random sampling technique was employed. Data were collected by face-to-face interview using a structured and pre-tested questionnaire and analysis using SPSS version 23. Bivariable and multivariable logistic regression analysis was carried out and p-value < 0.05 at 95% CI were considered as statistically significant. Results Overall 46.8 and 47.6% of women were knowledgeable and had good practice to prevent coronavirus respectively. Women’s age (15–24 years) (AOR = 4.85, 95% CI: 1.34–5.42), educational status (AOR:3.70; 95% CI: 1.16–5.40) being civil servant (AOR:2.84; 95% CI: 1.55–5.21), wanted pregnancy (AOR:3.37; 95% CI: 1.20–9.45), antenatal care follow-up (AOR:2.07; 95% CI: 1.03–4.13) were significantly associated with COVID-19 knowledge, whereas educational status (AOR:3.78; 95% CI: 1.19–5.11), number of children (AOR:2.89; 95% CI: 1.29–6.45) and knowledge (AOR:8.42;95% CI: 4.50–15.85), were also found to be statistically significant with practice. Conclusions Most of the participants had poor knowledge and inappropriate practice. Increasing health education programs via different media, coordinated and combined efforts of authorities and all individuals will be needed to battles the spread of the infection.

Publisher

Springer Science and Business Media LLC

Subject

Obstetrics and Gynecology

Reference29 articles.

1. World Health Organization. Naming the coronavirus disease (COVID-19) and the virus that causes it. 2020. Available at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/namingthe-coronavirus-disease-(covid-2019)-and-the-virus-that-causesit.

2. Lu R, Li J, Niu P, Yang B, Wu H. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020;395(10224):565–74. https://doi.org/10.1016/S0140-6736(20)30251-8.

3. The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Chin J Epidemiol. 2020;41:145–51.

4. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–13. https://doi.org/10.1016/S0140-6736(20)30211-7.

5. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727–33. https://doi.org/10.1056/NEJMoa2001017.

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