Application of a modified Poisson model in identifying factors associated with prevalence of pregnancy termination among women aged 15 – 49 years in Uganda

Abstract

Background: Abortion in Uganda is illegal, only permitted when it places the pregnant mother at risk. This study aimed to apply the modified Poisson model in identifying factors associated with the prevalence of pregnancy termination among women of reproductive age in Uganda.
 Methods: The 2016 Uganda Demographic Health Survey (UDHS) data were used in this study. More than 18,000 women of the age of 15 – 49 years participated in this study. A modified Poisson model that incorporated sampling weights was used to establish the factors associated with pregnancy termination.
 Results: In Uganda, 18,506 (18.1%) had ever had a pregnancy terminated. The results revealed that, the woman’s age [APR = 3.15, 95% CI: 2.72-3.63], being married [APR = 1.55, 95% CI: 1.40-1.71], mass media exposure [APR = 1.18, 95% CI: 1.08-1.29], working status [APR = 1.21, 95% CI: 1.09-1.35], and having visited a health facility [APR = 1.20, 95% CI: 1.10-1.31] were positively significantly associated with likelihood of pregnancy termination.
 Conclusion: There exists a significant proportion of women who have had their pregnancies terminated in Uganda. It is observed that woman’s age, marital status, mass media exposure, having visited a health facility in the last 12 months and working status were main predictors. Based on these results, researchers concluded that the emphasis should be put on improving access to post-abortion care, contraceptive use and media exposure.
 Keywords: Abortion; Pregnancy termination; maternal mortality; Poisson; Contraceptive; Radio.

Prevalence, perceptions and associated factors of health insurance enrollment among older persons in selected cash grant communities in Ghana: a cross-sectional mixed method

“…A significant level of 0.05 and an adjusted prevalence ratio (APR) with a 95% confidence interval (CI) were reported. In cross-sectional studies, modified Poisson regression models are suitable when the outcome of interest is not rare [ 35 ]. In this study, the modified Poisson regression model used was the Poisson regression of binomial data, and the robust error variance was applied [ 35 ].…”

“…In cross-sectional studies, modified Poisson regression models are suitable when the outcome of interest is not rare [ 35 ]. In this study, the modified Poisson regression model used was the Poisson regression of binomial data, and the robust error variance was applied [ 35 ]. This regression model is appropriate compared to applying the logistic regression models to binary data [ 35 ].…”

“…In this study, the modified Poisson regression model used was the Poisson regression of binomial data, and the robust error variance was applied [ 35 ]. This regression model is appropriate compared to applying the logistic regression models to binary data [ 35 ]. Further details on the Poisson regression model have been explained elsewhere [ 35 ].…”

“…This regression model is appropriate compared to applying the logistic regression models to binary data [ 35 ]. Further details on the Poisson regression model have been explained elsewhere [ 35 ]. The equation for the model is given as:…”

Prevalence and factors associated with unsafe abortion among females below 25 years in Fort Portal regional referral hospital, Fort Portal City, Western Uganda

“…The National Policy Guidelines and Service Standards for Sexual and Reproductive Health and Rights from 2006, however, go even farther by allowing abortion in additional situations, such as in cases of fetal abnormalities, rape, incest, or if the woman is HIV-positive [16].Obstetric violence against women who require abortion care still remains a serious issue if discursive technologies that exclude abortion care from national responses are not addressed [17].In Uganda, unintended pregnancies are frequently experienced, which increases the likelihood of unplanned deliveries, unsafe abortions, and harm to or death of mothers [18]. According to the 2016 Uganda Demographic Health Survey (UDHS) data, 18.1%, had ever had a pregnancies ended [19]. The findings showed that the likelihood of pregnancy termination was positively significantly correlated with the woman's age, marital status, exposure to mass media, working status, and having visited a health facility.…”