Authors:Klu; Desmond Abstract:Background: Pregnancy loss experiences due to stillbirths, miscarriages, and abortion among women have a negative effect on maternal health, leading to maternal mortality and strain on the health system. This study, therefore, seeks to examine the individual, proximate, and household factors associated with pregnancy loss experiences among ever pregnant women in Ghana.Methods: Data for this study were obtained from the 2014 Ghana Demographic and Health Survey (GDHS) conducted between early September and mid-December 2014. The weighted sample comprised 2321 ever pregnant women aged 15–49 years. Data were analyzed with SPSS version 25 using both descriptive and multilevel logistic regression modelling.Results: The study found that 48% of ever pregnant women have experienced pregnancy loss in Ghana. The multilevel regression analysis shows that ever pregnant women aged 25–34 years and 35–49 years had a higher likelihood of losing pregnancy. Pregnant women with secondary/higher education were less likely to lose their pregnancy. pregnant women who reside in urban areas has lower odds of pregnancy loss. Ever pregnant women who were currently married and those who were formerly married were more likely to experience pregnancy loss than never married women. Ever pregnant women who had access to an improved source of drinking water had a higher probability of losing their pregnancy. Interestingly, ever pregnant women who attended antenatal care services 1–3 times and 4 or more times were more likely to experience pregnancy loss.Conclusion: Individual, household, and proximate factors, such as pregnant women’s age, educational level, place of residence, religion, marital status, occupational type, household source of drinking water, and a number of antenatal visits, are strong significant predictors of pregnancy loss experiences among pregnant women in Ghana. These factors should be considered in strengthening existing programs and developing new interventions to decrease pregnancy loss and ensure safe motherhood. PubDate: Thu, 01 Dec 2022 00:00:00 GMT-
Authors:Sahile; Addisu T.; Bekele, Getabalew E.; Bibiso, Kidist; Gebremariam, Zewdu M. Abstract:Background: Globally, abortion-related maternal deaths significantly decreased, but the opposite was true for Sub-Saharan Africa, where there was a significant increment in abortion-related maternal deaths. Health care providers are in constant conflict with the legalization of abortion, for viewing induced abortion as immoral.Objective: To assess the willingness and associated factors of comprehensive abortion care among health care professionals in Public health facilities of Bole Sub-City, Addis Ababa, Ethiopia, 2021.Methods: An institution-based cross-sectional study was undertaken among 367 health care professionals from April 1 to August 30, 2021. Willingness was measured as willing and not willing, as well as the level of agreement to provide abortion care under justifiable conditions. The data were collected by a structured and pretested self-administered questionnaire. Binary (bivariate and multivariate) logistics regression was used for the identification of predictors of willingness with its respective 95% CI and a P-value of PubDate: Thu, 01 Dec 2022 00:00:00 GMT-
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Background: Pregnancy loss experiences due to stillbirths, miscarriages, and abortion among women have a negative effect on maternal health, leading to maternal mortality and strain on the health system. This study, therefore, seeks to examine the individual, proximate, and household factors associated with pregnancy loss experiences among ever pregnant women in Ghana.Methods: Data for this study were obtained from the 2014 Ghana Demographic and Health Survey (GDHS) conducted between early September and mid-December 2014. The weighted sample comprised 2321 ever pregnant women aged 15–49 years. Data were analyzed with SPSS version 25 using both descriptive and multilevel logistic regression modelling.Results: The study found that 48% of ever pregnant women have experienced pregnancy loss in Ghana. The multilevel regression analysis shows that ever pregnant women aged 25–34 years and 35–49 years had a higher likelihood of losing pregnancy. Pregnant women with secondary/higher education were less likely to lose their pregnancy. pregnant women who reside in urban areas has lower odds of pregnancy loss. Ever pregnant women who were currently married and those who were formerly married were more likely to experience pregnancy loss than never married women. Ever pregnant women who had access to an improved source of drinking water had a higher probability of losing their pregnancy. Interestingly, ever pregnant women who attended antenatal care services 1–3 times and 4 or more times were more likely to experience pregnancy loss.Conclusion: Individual, household, and proximate factors, such as pregnant women’s age, educational level, place of residence, religion, marital status, occupational type, household source of drinking water, and a number of antenatal visits, are strong significant predictors of pregnancy loss experiences among pregnant women in Ghana. These factors should be considered in strengthening existing programs and developing new interventions to decrease pregnancy loss and ensure safe motherhood.
Background: Globally, abortion-related maternal deaths significantly decreased, but the opposite was true for Sub-Saharan Africa, where there was a significant increment in abortion-related maternal deaths. Health care providers are in constant conflict with the legalization of abortion, for viewing induced abortion as immoral.Objective: To assess the willingness and associated factors of comprehensive abortion care among health care professionals in Public health facilities of Bole Sub-City, Addis Ababa, Ethiopia, 2021.Methods: An institution-based cross-sectional study was undertaken among 367 health care professionals from April 1 to August 30, 2021. Willingness was measured as willing and not willing, as well as the level of agreement to provide abortion care under justifiable conditions. The data were collected by a structured and pretested self-administered questionnaire. Binary (bivariate and multivariate) logistics regression was used for the identification of predictors of willingness with its respective 95% CI and a P-value of
