Selected article for: "control preventive and health education"

Author: Ayele, Alemu Degu; Mihretie, Gedefaye Nibret; Belay, Habtamu Gebrehana; Teffera, Adanech Getie; Kassa, Bekalu Getnet; Amsalu, Bedemariam Tadesse
Title: 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
  • Cord-id: uzc4wtt6
  • Document date: 2021_5_21
  • ID: uzc4wtt6
    Snippet: 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
    Document: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-03877-4.

    Search related documents:
    Co phrase search for related documents
    • abortion history and logistic regression model: 1
    • active case and logistic regression: 1, 2, 3
    • active case and logistic regression analysis: 1
    • addis ababa and adequate knowledge: 1
    • addis ababa and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21
    • addis ababa and logistic regression analysis: 1, 2, 3, 4
    • addis ababa and logistic regression model: 1, 2, 3, 4, 5
    • adequate knowledge and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • adequate knowledge and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8
    • adequate knowledge and logistic regression model: 1, 2, 3
    • adequate level and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8
    • adequate level and logistic regression analysis: 1
    • adequate level and logistic regression model: 1, 2
    • administrative unit and logistic regression: 1
    • administrative unit and logistic regression model: 1
    • local context and logistic regression: 1, 2, 3, 4
    • local context and logistic regression analysis: 1
    • local context and logistic regression model: 1