Predictors of maternal mortality in Ghana: evidence from the 2017 GMHS Verbal Autopsy data.

BACKGROUND: Maternal mortality remains a significant public health challenge in many low and middle-income countries, including Ghana. From Ghana's 2017 Maternal Health Survey verbal autopsy data, we examined the predictors of maternal mortality in Ghana. METHODS: A total of 1240 deaths of women aged 15-49 were involved in the survey across all regions in Ghana. Binary and multivariate logistic regression analyses were employed; confidence level was set at 95%. RESULTS: The results show that the prevalence of maternal death was 13.2% (164/1240). After adjusting for potential covariates, women aged 20-29 years (aOR = 4.270, 95%CI= 1.864 - 9.781, p=0.001), bled during labour/delivery (aOR= 0.241, 95%CI = 0.059 - 0.992, p=0.049), and those who used traditional/herbal medicines during pregnancy were more likely to die compared to non-users (aOR= 3.461, 95%CI = 1.651 - 7.258, p=0.001). CONCLUSION: Our findings highlight the need to intensify maternal education regarding the value to be gained by increasing skilled healthcare during complications in pregnancy to allow effective management of complications during labour/delivery. Also, education for pregnant women and their families on possible adverse effects of using unapproved traditional/herbal medicines during pregnancy as well as a need to seek timely care before the onset of labour to allow healthcare providers ample opportunity to address labour and birth complications, is urgently required.

Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014.

BACKGROUND: Documentary evidence points to high unmet need for family planning across sub-Saharan Africa. Modern contraceptive use has been staggering over decades with unacceptable marginal increases given that one in three women still report unmet need in Ghana. This study sought to re-examine through a further analysis on the prevalence and determinants of unmet need for family planning in Ghana using married women extracted from the recent 2014 Ghana Demographic and Health Survey. METHOD: Data was analyzed using univariate, bivariate, logistic and multinomial logistic regression models. RESULTS: Of the 4527 women, more than a third (35.17%) experienced unmet need of which 20.19% had unmet need for spacing while 14.98% reported unmet need for limiting. The logistic results showed that older aged women, being employed and women with higher ideal number of children were less likely to experience unmet need. However, women who did not know the couples' preferred number of children, women who had more than one union and those with higher number of living biological children were more likely to report unmet need. From the multinomial model, an increase in age, residing in a rural area, and being employed were associated with lower risk of unmet need for spacing. Additionally, Women who did not know the couples' ideal number of children, women who had higher age when they got married, and women with higher number of biological children were more likely to report unmet need for spacing. Women who had a higher number of ideal children, women who had secondary or higher education, women from higher socio-economic households, were less likely to report unmet need for limiting. . CONCLUSIONS: We recommend the strengthening of contraception services in order to address the various age specific needs and women within the different socio-demographic sects so as to reduce unmet need. Addressing the needs of women with increasing number of living biological children is equally paramount.

Determinants of unmet need for family planning in rural Burkina Faso: a multilevel logistic regression analysis.

BACKGROUND: Unmet need for family planning has implications for women and their families, such as unsafe abortion, physical abuse, and poor maternal health. Contraceptive knowledge has increased across low-income settings, yet unmet need remains high with little information on the factors explaining it. This study assessed factors associated with unmet need among pregnant women in rural Burkina Faso. METHOD: We collected data on pregnant women through a population-based survey conducted in 24 rural districts between October 2013 and March 2014. Multivariate multilevel logistic regression was used to assess the association between unmet need for family planning and a selection of relevant demand- and supply-side factors. RESULTS: Of the 1309 pregnant women covered in the survey, 239 (18.26%) reported experiencing unmet need for family planning. Pregnant women with more than three living children [OR = 1.80; 95% CI (1.11-2.91)], those with a child younger than 1 year [OR = 1.75; 95% CI (1.04-2.97)], pregnant women whose partners disapproves contraceptive use [OR = 1.51; 95% CI (1.03-2.21)] and women who desired fewer children compared to their partners preferred number of children [OR = 1.907; 95% CI (1.361-2.672)] were significantly more likely to experience unmet need for family planning, while health staff training in family planning logistics management (OR = 0.46; 95% CI (0.24-0.73)] was associated with a lower probability of experiencing unmet need for family planning. CONCLUSION: Findings suggest the need to strengthen family planning interventions in Burkina Faso to ensure greater uptake of contraceptive use and thus reduce unmet need for family planning.

Factors Associated with Contraceptive Use among Women of Reproductive Age in Rural Districts of Burkina Faso.

Given the current low contraceptive use and corresponding high levels of unwanted pregnancies leading to induced abortions and poor maternal health outcomes among rural populations, a detailed understanding of the factors that limit contraceptive use is essential. Our study investigated household and health facility factors that influence contraceptive use decisions among rural women in rural Burkina Faso. We collected data on fertile non-pregnant women in 24 rural districts in 2014. Of 8,657 women, 1,098 used a modern contraceptive. Women having a living son, a child younger than one year, and household wealth were more likely to use modern contraceptives. Women in polygamous marriages and women living at least 5 kilometers from a health facility were less likely to use contraception. We conclude that modern contraceptive use remains weak, hence, programs aiming to encourage contraceptive use must address barriers at both the health facility and the household level.

A scoping review on determinants of unmet need for family planning among women of reproductive age in low and middle income countries.

BACKGROUND: Poor access and low contraceptive prevalence are common to many Low- and Middle-Income Countries (LMICs). Unmet need for family planning (FP), defined as the proportion of women wishing to limit or postpone child birth, but not using contraception, has been central to reproductive health efforts for decades and still remains relevant for most policy makers and FP programs in LMICs. There is still a lag in contraceptive uptake across regions resulting in high unmet need due to various socioeconomic and cultural factors. In this mixed method scoping review we analyzed quantitative, qualitative and mixed method studies to summarize those factors influencing unmet need among women in LMICs. METHODS: We conducted our scoping review by employing mixed method approach. We included studies applying quantitative and qualitative methods retrieved from online data bases (PubMed, JSTOR, and Google Scholar). We also reviewed the indexes of journals specific to the field of reproductive health by using a set of keywords related to unmet contraception need, and non-contraception use in LMICs. RESULTS: We retrieved 283 articles and retained 34 articles meeting our inclusion criteria. Of these, 26 were quantitative studies and 8 qualitative studies. We found unmet need for FP to range between 20 % and 58% in most studies. Woman's age was negatively associated with total unmet need for FP, meaning as women get older the unmet need for FP decreases. The number of children was found to be a positively associated determinant for a woman's total unmet need. Also, woman's level of education was negatively associated--as a woman's education improves, her total unmet need decreases. Frequently reported reasons for non-contraception use were opposition from husband or husbands fear of infidelity, as well as woman's fear of side effects or other health concerns related to contraceptive methods. CONCLUSION: Factors associated with unmet need for FP and non-contraception use were common across different LMIC settings. This suggests that women in LMICs face similar barriers to FP and that it is still necessary for reproductive health programs to identify FP interventions that more specifically tackle unmet need.