Adherence to option B+ and its association with disclosure status and counseling among HIV-positive pregnant and lactating women in Ethiopia: systematic review and meta-analysis.

OBJECTIVES: This systematic review and meta-analysis aimed to assess the pooled estimate of option B+ level of adherence and its association with disclosure status and counseling among pregnant and lactation women in Ethiopia after option B+ implementation. STUDY DESIGN: Systematic review and meta-analysis. METHODS: We searched Web of Science, MEDLINE, PUBMED, Scopus, Embase, CINAHL, and Google Scholar databases for studies reporting adherence to option B+ and its association with disclosure status and counseling among pregnant and lactating women in Ethiopia. Heterogeneity was assessed by forest plot, Cochran's Q test, and I2 test. A random effects model was calculated to estimate the pooled prevalence of adherence toward option B+. RESULTS: We included eight studies, which gives a total of 1852 pregnant and lactating women in this systematic review and meta-analysis. The overall pooled estimate of good adherence toward option B+ antiretroviral therapy (ART) drug among pregnant and lactating women in Ethiopia was 84.23% (95% confidence interval [CI]: 80.79-87.66). Women who have disclosed their HIV status to their partner (adjusted odds ratio = 4.48, 95% CI: 1.86-10.76) and got counseling during the antenatal period (adjusted odds ratio = 5.02, 95% CI: 2.43-10.34) had a positive association with good adherence to option B+ ART drugs. CONCLUSION: Four of five pregnant and lactating women have good adherence to option B+ ART drugs in Ethiopia. Therefore, promoting HIV disclosure status to partners and enhancing counseling services should be strengthened to improve adherence toward option B+ among pregnant and lactating women.

Spatiotemporal distributions of immunization coverage in Ethiopia from 2000 to 2019.

BACKGROUND: Vaccination is the most important mechanism to improve childhood survival. However, immunization coverage is very low and unevenly distributed throughout the country. Therefore, this study was aimed to investigate the spatiotemporal distribution of immunization coverage in Ethiopia. METHOD: Immunization coverage data and geospatial covariates data were obtained from EDHS 2000 to 2019 and different publicly available sources. A Bayesian geostatistic model was used to estimate the national immunization coverage at a pixel level and to identify factors associated with the spatial clustering of immunization coverages. RESULT: The overall immunization coverage in Ethiopia was 38.7%, 36.55%, 51.8%, 67.1% and 66.9% for 2000, 2005, 2011, 2016 and 2019 respectively. Spatial clustering of low immunization coverage was observed in Eastern, Southern, Southwestern, Southeastern and Northeastern parts of Ethiopia in EDHSs. The altitude of the area was positively associated with immunization coverage in 2000, 2005 and 2019 EDHS. The population density was positively associated with immunization coverage in 2000, 2005, 2011 and 2016. Precipitation is also positively associated with immunization coverage in 2016. Moreover, mean annual temperature was positively associated with immunization coverage in 2000, 2005 and 2019 EDHSs. Travel time to the nearest city is negatively associated with immunization coverage in 2000, 2005, 2011 and 2016. Likewise, distance to health facilities was negatively associated with immunization coverage in all the five EDHSs. CONCLUSION: This study found that immunization coverage in Ethiopia substantially varied across the subnational and local levels. Spatial clustering of low immunization coverage was observed in Southern, Southeastern, Southwestern, Northeastern, and Eastern parts of the country. Altitude, population density, precipitation, temperature, travel time to the nearest city in minutes, and distance to the health facilities were factors that affect the spatial clustering of immunizations coverage. These findings can guide policymakers in Ethiopia to design geographically targeted interventions to increase programs to achieve maximum immunization coverage.