Geographical variations and determinants of iron and folic acid supplementation during pregnancy in Ethiopia: analysis of 2019 mini demographic and health survey.

BACKGROUND: One of the packages of critical antenatal care treatments for pregnant women includes iron and folic acid (Fe/FA) supplementation. Using recently available and nationwide representative survey data, this study aimed to determine the spatial patterns and drivers of Fe/FA supplementation during pregnancy. METHOD: The data for this study was obtained from Ethiopia's 2019 Mini Demographic and Health Survey (EMDHS). We used the Kid's Record (KR) dataset, and a total weighted sample of 3926 reproductive-age women who gave birth within the previous 5 years was used as the study's final sample size. To analyze the spatial distributions (geographic variation of Fe/FA supplementation) different statistical software like Excel, ArcGIS, and Stata 14 were used. A two-level multilevel binary logistic regression model was fitted to identify both individual and community-level factors associated with Fe/FA supplementation during pregnancy. RESULT: This study found that there were significant geographical variations of iron and folic acid supplementation across Ethiopia, eastern and southern parts of the country were predicted to have low Fe/FA supplementation coverage. Advanced maternal age (AOR = 0.75: 95%CI: 0.59 0.96), resides in developing region (AOR = 0.57, 95%CI: 0.43 0.74), not attended formal education (AOR = 0.60, 95%CI: 0.39 0.92), middle (AOR = 1.51, 95%CI: 18 1.93) and rich wealth status (AOR = 1.48, 95%CI: 1.15 1.91), and four and above ANC visits (AOR = 4.35 95%CI: 3.64 5.21) were determinants of iron and folic acid supplementation among pregnant women. CONCLUSION: Our research found that there were geographical variations across the country, with low coverage seen in Ethiopia's eastern and southern regions. Iron and folic acid supplementation coverage were inadequate among pregnant women with low education, advanced maternal age, and those from underdeveloped countries. Conversely, increasing iron and folic acid uptake was associated with higher socioeconomic class and four or more ANC visits. The findings of this study highlight the importance of increasing maternal health care, such as iron and folic acid supplements, for underserved populations.

The Role of GeneXpert MTB/RIF in Reducing Treatment Delay Among Multidrug Resistance Tuberculosis Patients: A Propensity Score Matched Analysis.

BACKGROUND: GeneXpert MTB/RIF testing is a rapid molecular diagnostic test that is performed with an automated cartilage-based machine that makes treatment initiation prompt. This study aimed at evaluating the impact of GeneXpert in the reduction of treatment delay among multidrug-resistant tuberculosis (MDR-TB) patients in Amhara regional state of Ethiopia. METHODS: A facility-based retrospective follow-up study was conducted from January to February 2019, and a total of 465 MDR-TB patients were included in the study. Socio-demographic, clinical, and treatment-related characteristics were collected from patient's chart retrospectively using data abstraction sheets. Binary logistic regression model was fitted to identify factors associated with treatment delay; adjusted odds ratio (AOR) with a 95% confidence interval (CI) was computed to assess the strength of association. A propensity score-matched (PSM) analysis was used to assess the impact of the GeneXpert MTB/RIF test on treatment delay through calculation of average treatment effect (ATE). RESULTS: The majority, 92.4%, of patients had the pulmonary form of TB, and 46.7% of patients were diagnosed by GeneXpert MTB/RIF. The presence of cavitation (AOR = 0.62, 95% CI: 0.39 0.96), extrapulmonary form of TB (AOR = 0.34, 95% CI: 0.14 0.81), and GeneXpert (AOR = 0.15, 95% CI: 0.10 0.24) were factors associated with treatment delay. The average treatment effect (ATE) of PSM analysis showed that GeneXpert MTB/RIF has significantly reduced treatment delay by 41% compared to matched control groups. CONCLUSION: This study revealed that GeneXpert test has a strong association with the reduced treatment delays among MDR-TB patients. This underscores that rapid molecular tests could help improve the health system and lead to prompt initiation of MDR-TB treatment. Therefore, expansion and decentralization of GeneXpert tests to peripheral health facilities are highly recommended. In turn, the case detection and control of the disease will be hastened.

Factors associated with the perceived barriers of health care access among reproductive-age women in Ethiopia: a secondary data analysis of 2016 Ethiopian demographic and health survey.

BACKGROUND: Health care access is the timely use of personal health services to achieve the best health outcomes. Problems in accessing health care among reproductive-age may lead to various adverse health outcomes like death and disabilities. Therefore, this study aimed to identify factors associated with the perceived barriers of healthcare access among reproductive-age women in Ethiopia. METHOD: This study was based on secondary data sources from the 2016 Ethiopia Demography and Health Survey. The individual women record (IR) file was used to extract about 15, 683 women for the final analysis from the largest dataset. A composite variable of health care access was created from four questions used to rate health care access problems among women of reproductive age. To identify factors associated with the perceived barriers of health care access among reproductive-age women, generalized estimating equation (GEE) model was fitted. Crude and adjusted odds ratio (AOR) with a 95% confidence interval (CI) computed to assess the strength of association between independent and outcome variables. RESULTS: This study revealed that the magnitude of perceived barriers of healthcare access among reproductive-age women was 69.9% with 95%CI (69.3 to 70.7) to at least one or more of the four reasons. Rural resident (AOR = 2.13, 95%CI: 1.79 to 2.53), age 35-49 years (AOR = 1.24, 95%CI: 1.09 to 1.40), divorced/separated (AOR = 1.34, 95%CI: 1.17 to 1.54), had no health insurance coverage (AOR = 1.19, 95%CI: 1.01 to 1.45), poorer (AOR = 2.09,95%CI: 1.86 to 2.35) and middle wealth (AOR = 1.57,95%CI:1.38 to 1.79), no education (AOR = 2.30, 95%CI:1.95 to 2.72), primary education (AOR = 1.84, 95%CI: 1.58 to 2.15) and secondary education (AOR = 1.31, 95%CI: 1.13 to 1.51) were factors associated with the perceived barriers of health care access. CONCLUSION: A significant proportion of women of reproductive age faced barriers to healthcare access, of which money and distance were the most frequently perceived barriers. Divorced/separated marital status, old age, rural dwelling, no health insurance coverage, low economic situation, and level of education were factors associated with perceived barriers. These findings suggest further strengthening and improving health care access to those women with low socio-economic status for the realization of universal health coverage.