Objective: The aim of this study was to assess knowledge and factors associated with obstetrics danger signs among married men in Dessie town, North-East Ethiopia in 2020.

Design: Community-based cross-sectional study.

Setting: Dessie town, North-East Ethiopia.

Participants: The study was conducted on selected 824 men. The data were collected through face-to-face interviews using pretested questionnaires and then the data were entered into Epi-Data V.3.1 software, and analysis was carried out using Statistical Package for the Social Sciences V.20. Bivariable and multivariable logistic regression analyses were used to determine the association between each independent variable with the dependent variable, and those variables with a value of p≤0.25 in bivariable analysis were candidates for multivariable analysis. Finally those variables with a value of p<0.05 with 95% CI in multivariable analysis were reported as statistically significant.

Result: This study revealed that the overall knowledge of obstetric danger signs was 53.8% (95% CI 50.2 % to 57.2%). Respondents aged 35-40 years (AOR=4.92, 95% CI 2.6 to 9.0), exposure to media (AOR=10.4, 95% CI 4.19 to 25.9), wife's age ≤35 years (AOR=4.16, 95% CI 2.25 to 7.69), wife who attended secondary education (AOR=1.59, 95% CI 1.06 to 2.39), participation in the Health Development Army (AOR=4.74, 95% CI 1.8 to 12.5), previous obstetric complication (AOR=4.27, 95% CI 2.0 to 9.14) and number of pregnancy ≤2 (AOR=0.42, 95% CI 0.05 to 3.38) and 3-4 (AOR=0.22 95% CI 0.06 to 0.83) were significantly associated with knowledge of obstetric danger signs.

Conclusion: Men's knowledge about obstetric danger signs was low. Age of respondents, wives' age, and respondents' media exposure, participation in the Health Development Army, wives' educational status, previous obstetrics complication and gravidity were significantly associated knowledge of obstetrics danger sign.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438201PMC
http://dx.doi.org/10.1136/bmjopen-2022-063936DOI Listing

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