Background: Intraventricular hemorrhage (IVH) is one of the medical issues that preterm infants are susceptible to as a result of their difficulty adjusting to life outside the womb. It is bleeding into the ventricular system from the germinal matrix, a highly cellular and vascular tissue that is only seen in preterm newborns and ruptures easily. The study aims to assess the magnitude and associated factors of IVH in preterm neonates. Methods: A hospital-based cross-sectional study was conducted at Tibebe Ghion Specialized Hospital (TGSH) from 14 March 2022 to 15 August 2022. The neonatal referral form, the mother’s medical file, an in-person interview with the mother, and bedside cranial sonography were used to collect clinical data. After data were entered into Epi Info and exported to Scientific Program for Social Science (SPSS), analysis was carried out using binary and multivariable logistic regression. Results: The overall magnitude of IVH in preterm newborns among preterm neonates admitted to TGSH was 53 (27.04%) (95% CI: 20.9–32.2%). In the multivariable logistic regression analysis, a birth weight of between 1500 and 2000 g (OR: 0.38, 95% CI: 0.18–0.79) were negative, and those neonates with gestational age between 28 and 32 weeks (OR: 2.14, 95% CI: 1.04–4.41) were positively associated with the occurrence of IVH. Conclusion: The study discovered that the magnitude of IVH is slightly higher than that of prior studies done in different parts of the world, and those neonates delivered at early gestational ages and those with very low birth weight have a higher incidence of IVH. Both guardians and health providers should give more attention to those neonates born at an early gestational age and with small birth weight.
Routine Malaria surveillance data is useful for assessing incidence and trends over time and in stratification for targeting of malaria. The reporting completeness and potential bias of such data needs assessment. Approximately 52 million people (68%) live in malaria risk areas in Ethiopia, primarily at altitudes below 2,000 meters. Objective: The general objective of this analysis was to assess the trend and magnitude of Malaria surveillance data by time, place and laboratory result for the last five years in Benishangul Gumuz Region. Descriptive cross-sectional study was used to analyze Malaria surveillance data in terms of time, place and laboratory result. Data cleaning and analysis was made by using excel 2013 software. A total of 96757 expected health facilities were in the region from 2013-2017. A total of 86266 health facilities were reported in the last five years with an average completeness of 89.2%. In the last five years (2013-2017) total of 1186514 clinically and confirmed malaria cases were reported regionally with 2290606 total malaria suspected fever examined with ninety inpatient deaths. Among the total clinically and confirmed cases, 1172244 (98.8%) were outpatients, 14248 (1.2%) were inpatients and 1013046 (85.0%) cases were confirmed by laboratory. Out of the total confirmed malaria cases 811984 (80.2%) cases were due to P.falciparum malaria and 201030 (19.8%) cases were due to P.vivax malaria. There were no other species of malaria reported other than these two species. From the total expected health facilities; a total of 86266 health facilities were reported in the last five years with an average completeness of 89.2% which is above the WHO minimum requirement (80.0%). The malaria reports shows that significant improvement in cases of data quality and management from year to year and currently all zones, Woredas and health facilities including private and NGO facilities are included and reported weekly the malaria surveillance from the data report identified in this study. The average five year regional incidence of confirmed malaria (P. Falciparum and P. Vivax) was less than half the incidence of the clinical and confirmed malaria cases.
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