Majority of causes of maternal and newborn mortalities are preventable. However, poor access to and low utilization of health services remain major barriers to optimum health of the mothers and newborns. The objectives of this study were to assess maternal and newborn health services utilization and factors affecting mothers’ health service utilization. A community based cross-sectional survey was carried out on randomly selected mothers who gave birth within a year preceding the survey. The survey was supplemented with key informant interviews of experts/health professionals. Multivariable logistic model was used to identify factors associated with service utilization. Adjusted odds ratios (AORs) were used to assess the strength of the associations at p-value ≤0.05. The qualitative data were summarized thematically. A total of 789 (99.1% response rate) mothers participated in the study. The proportion of the mothers who got at least one antennal care (ANC) visit, institutional delivery and postnatal care (PNC) were 93.3, 77.4 and 92.0%, respectively. Three-forth (74.2%) of the mothers started ANC lately and only 47.5% of them completed ANC4+ visits. Medium (4–6) family size (AOR: 2.3; 95% CI: 1.1, 4.9), decision on ANC visits with husband (AOR: 30.9; 95% CI: 8.3, 115.4) or husband only (AOR: 15.3; 95%CI: 3.8, 62.3) and listening to radio (AOR: 2.5; 95%CI: 1.1, 5.6) were associated with ANC attendance. Mothers whose husbands read/write (AOR: 1.6; 95% CI: 1.1, 2.), attended formal education (AOR: 2.8; 95% CI: 1.1, 6.8), have positive attitudes (AOR: 10.2; 95% CI: 25.9), living in small (AOR: 3.0; 95% CI: 1.2, 7.6) and medium size family (AOR: 2.3; 95% CI: 1.2, 4.1) were more likely to give birth in-health facilities. The proportion of PNC checkups among mothers who delivered in health facilities and at home were 92.0 and 32.5%, respectively. The key informants mentioned that home delivery, delayed arrival of the mothers, unsafe delivery settings, shortage of skilled personnel and supplies were major obstacles to maternal health services utilization. Health information communication targeting husbands may improve maternal and newborn health services utilization. In service training of personnel and equipping health facilities with essential supplies can improve the provider side barriers.

Background: Schoolchildren with asymptomatic malaria infections often go undiagnosed and untreated, serving as reservoirs for infection that hamper malaria control and elimination efforts. In this context, little is known about the magnitude of asymptomatic malaria infections in apparently healthy schoolchildren in Ethiopia. This study was aimed at determining the prevalence of asymptomatic malaria infection and its associated factors in apparently healthy schoolchildren in Ethiopia. Methods: From September 2021 to January 2022, a school-based cross-sectional study was conducted on 994 apparently healthy schoolchildren (aged 6–15 years) selected from 21 primary schools in the Gomma district, of Jimma zone, southwestern Oromia, Ethiopia. A multi-stage sampling technique was used to select schools and participants. After allocating the total sample proportionally to each school and then to each grade, participants were selected using the lottery method from a list of student records (rosters). Finger-pricked blood samples were collected for microscopy blood film preparation and malaria rapid diagnostic test (RDT) (SD Bioline Malaria Ag Pf/Pv). Moreover, dry blood spots (DBSs) were prepared onto filter papers for quantitative real time polymerase chain reaction (qPCR) analysis. Results: As determined by RDT and microscopy, the prevalence of asymptomatic malaria was 2.20% and 1.51%, respectively. Using qPCR, the overall prevalence was 5.03% (50/994). Of this, Plasmodium falciparum, Plasmodium vivax and mixed infections accounted for 90%, 6% and 4%, respectively. Submicroscopic asymptomatic malaria infection was also accounted for 70% (35/50) of the overall prevalence. Household head age, nighttime outdoor activities of household heads, family history of malaria, absence of insecticide-treated nets (ITN), and presence of stagnant water around the houses are all significantly associated with asymptomatic malaria infections among schoolchildren. Conclusions: This study found that both RDT and microscopy underestimated the prevalence of asymptomatic malaria in schoolchildren. However, qPCR was able to detect even low levels of parasitaemia and revealed a higher prevalence of asymptomatic submicroscopic malaria infections. The findings imply that schoolchildren with asymptomatic malaria infection are potential hotspot for malaria reservoir that fuels ongoing transmission. Therefore, it is imperative to include schoolchildren and schools in malaria intervention package and equally important is the adoption of more advanced and sensitive diagnostic tools, which would be crucial for successful malaria control and elimination efforts. Targeted interventions for asymptomatic malaria-infected schoolchildren can provide invaluable support to the National Malaria Control Programme in controlling and eventually eliminating the disease.

Background: In Ethiopia, large scale health care efforts had been done to promote infant health and survival. However, nationwide data is lacking on the survival status and proximate determinants of infant mortality in Ethiopia. Therefore, this study was aimed to identify the survival status and determinants of infant mortality in Ethiopia using Ethiopian Demographic and Health Survey (EDHS).Methods: The data source for this study was the 2016 Ethiopian Demographic and Health Survey. Records of all 10,641 live births and survival informations of all 2826 infants born 5 years before the survey were reviewed. Kaplan-Meier method and Cox proportional hazards regression model were employed to identify the proximate determinants associated with the infant mortality.Results: The results of Kaplan-Meier estimation showed that the highest infant deaths occurred in the early months of life immediately after birth and declined in the later months of follow-up time. About 65% of infant deaths occurred during the first month’s of life. Using the Cox proportional hazard model we found that: mothers’ level of education, preceding birth interval, plurality, size of child at birth and sex of child as significant predictors of infant mortality. The risk of dying in infancy was lower for babies of mothers with secondary education (RR = 0.68, 95% CI: 0.56–0.98), higher education (RR = 0.51, 95% CI:0.45–0.80), for preceding birth interval longer than 47 months (RR = 0.51, 95% CI: 0.27, 0.92) and higher for birth interval shorter than 24 months (RR = 2.02, 95% CI:1.40–2.92), for multiple births (RR = 4.07, 95% CI: 1.14–14.50), for very small size of infants (RR = 3.74, 95% CI:1.73–8.12), for smaller than average size infants (RR = 3.23, 95% CI: 1.40–7.41) and for female infants (RR = 1.26, 95% CI: 1.01–1.56) compared to the reference category.Conclusions: A significant proportion of infants died during the study period of which nearly two third of deaths occurred during the first months of life. Thus, close monitoring and supporting reproductive age mothers to increase the uptakes of family planning and antenatal care and follow-up is highly recommended to increase the infant survival.

Background: Patients’ loss to follow-up (LTFU) from tuberculosis treatment and care is a growing worry in Ethiopia. But, available information is inadequate in assessing the time to tuberculosis patient loss to follow-up difference between health centers and a general hospital in Ethiopia. We aimed to assess time to LTFU difference between health centers and a general hospital in rural Ethiopia. Methods: We conducted a retrospective cohort study from September 2008 to August 2015 and collected data from September 1 to October 02, 2016. A total of 1341 TB patients with known treatment outcomes were included into the study. Log rank test was used to compare the difference in time to TB patient loss to follow-up between health centers and a general hospital, whereas Cox proportional hazard model was used to assess factors associated with time to loss to follow-up in both settings. Results: We reviewed a total of 1341 patient records, and the overall follow-up time was 3074.7 and 3974 person months of observation (PMOs) for TB patients followed at health centers and a general hospital, respectively. The incidence of loss to follow-up rate was 27.3 per 1000 PMOs and 9.6 per 1000 PMOs, at health centers and a general hospital, respectively. From the overall loss to follow-ups that occurred, 55 (65.5%) and 33 (86.8%) of LTFUs occurred during the intensive phase and grew to 78 (92.9%) and 38 (100%) at health center and a general hospital, respectively, at the end of 6-month observation period. Older age (AOR = 1.7, 95%CI, 1.2–2.5, P < 0.001), being a rural resident (AHR = 2.7, 95%CI, 1.6–4.6), HIV reactive (AHR = 2.2, 95%CI, 1.5–3.2), following treatment and care in health center (AHR = 3.38, 95%CI, 2.06–5.53), and living at more than 10 km away from the health facility (AHR = 3.4, 95%CI, 2.1–5.7) were predictors for time to loss to follow-up among TB patients on treatment and care. Conclusion: Time to TB patient loss to follow-up between health centers and a general hospital was significant. Loss to follow-up was high in patients with older age, rural residence, sero positive for HIV, living further from the health facilities, and following treatment and care at health centers. Strengthening the DOTs program with special emphasis on health centers is highly recommended.

Introduction. Stroke is the second leading cause of mortality worldwide, accounting for approximately 5.5 million deaths each year. Due to demographic and health changes, the epidemiology of stroke is shifting from industrialized to low- and middle-income nations. Ethiopia is a developing country with a population that reflects this shift. Therefore, this systematic review and meta-analysis are aimed at evaluating the extent of in-hospital mortality of both ischemic and hemorrhagic stroke in Ethiopia and determining relevant factors associated with the mortality. Methods. Observational studies published as of July 15, 2020, that reported the magnitude, predictors, and causes of in-hospital mortality of stroke were systematically and comprehensively retrieved using the PRISMA 2020 criteria from databases such as PubMed/MEDLINE, Science Direct, and Google Scholar. The review papers were chosen based on the study methodology (facility-based observational), the study area (Ethiopia), the study population (adult patients with stroke), the outcome (in-hospital mortality), and the fact that they were published in English. Result. A total of 3709 patients with stroke were included in this systematic review and meta-analysis, which included 19 publications. In-hospital mortality was 14.03 percent on average in the studies, with reports ranging from 6.04 percent to 37.37 percent. Patients with hemorrhagic type stroke, admission Glasgow Coma Scale less than or equal to 12, impaired mental status, National Institutes of Health Stroke Scale stroke level greater than 13, prolonged hospital stay, any incontinence, pneumonia, and/or swallowing trouble had an increased risk of death after stroke. Conclusion. The magnitude of in-hospital mortality of patients with stroke in Ethiopia is high. The assessment of the level of consciousness is vital for clinical management and as an indicator of prognosis. Patients with unfavorable prognostic signs, such as entry Glasgow Coma Scale, National Institutes of Health Stroke Scale , hemorrhagic stroke, pneumonia, incontinence, and dysphagia, should be given priority.