Methods: This research utilized data from the Demographic and Health Surveys 2014, 2016, 2014-2015, 2015-2016, and 2016 from Ghana, Ethiopia, Rwanda, Tanzania, and Uganda, respectively. Respondents were women aged between 15 and 49 years. Hemoglobin levels were measured by HemoCue hemoglobin meter. 45,299 women data were extracted from the five countries with 4,644, 14,923, 6,680, 13,064, and 5,988 from Ghana, Ethiopia, Rwanda, Tanzania, and Uganda, respectively. Association between anemia and selected predictive variables was assessed using Pearson's chi-square test statistic. Poisson regression with robust standard errors was used to estimate the prevalence rate ratios of developing anemia. The deviance goodness of fit test was employed to test the fit of the Poisson model to the data set.
Results: There was a statistically significant difference in prevalence of 1,962 (42.3%), 3,527 (23.6%), 1,284 (19.3%), 5,857 (44.8%), and 1,898 (31.7%) for Ghana, Ethiopia, Rwanda, Tanzania, and Uganda, respectively, χ 2 = 2,181.86 and p value < 0.001. Parity, pregnancy status, and contraceptives significantly increased the prevalence rate ratio of a woman developing anemia. Women in Ethiopia with a parity of six or more were 58% more likely to develop anemia than those with parity of zero. Tanzanian women who were pregnant had a 14% increased rate ratio of developing anemia. Factors that significantly decreased anemia in this study were wealth index, women's age, and women's highest level of education. Women who were in the higher education category in Ethiopia were 57% less likely to develop anemia. Ugandan women in the richest category of the wealth index were 28% less likely to develop anemia. Rwandan women in the middle category of the wealth index were 20% less likely to develop anemia. Women who were within the 45-49 age category in Ethiopia were 48% less likely to develop anemia.
Conclusion: The individual country governments should encourage the implementation of increasing female enrollment in higher education. Women in their reproductive age should be encouraged to use modern contraceptives to reduce their anemia prevalence.
OBJECTIVES: To examine the differentials and determinants of the utilization of private providers for family planning services.
METHOD: This study used the 2014 Malaysian Population and Family Survey data. Cross-tabulations and logistic regression were performed on 1,817 current users of modern methods.
RESULTS: Overall, 26% of modern method users obtained their supplies from private clinics/pharmacies and 15.2% from other sources, such as drug stores and sundry shops. The odds of utilizing the private sector for family planning services differ significantly across regions and socio-economic groups. The odds of obtaining supply from the private clinics/pharmacies were higher among the Chinese and urban women (AOR > 1), and it was lower among those from the eastern region (AOR = 0.47, 95% CI = 0.30-0.73). Non-Bumiputera, urban, higher educated, and working women, and those whose husbands decided on family planning had higher odds of obtaining the supply from the other sources (AOR > 1).
CONCLUSION: The private sector complements and supplements the public sector in providing family planning services to the public.