College of Medicine and Health Sceinces

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College of Medicine and Health Sceinces

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    MAGNITUDE OF MATERNITY WAITING HOME UTILIZATION AND ASSOCIATED FACTORS AMONG WOMEN WHO GAVE BIRTH WITHIN 12 MONTHS BEFORE SURVEY IN GETA DISTRICT, GURAGE ZONE, CENTRAL ETHIOPIAN,2025
    (wolkite University, 2026-06) CHERU BIREGA
    Introduction: Maternity waiting homes are a cost-effective approach to ensure safer deliveries and healthier mothers and babies. It is important to enhance accessibility of healthcare services, by closing the gap between remote communities and medical facilities, an ensuring timely access to skilled birth attendance. In Sub-Saharan Africa, close to 30% of women with proper ANC follow-up ended up delivering at home. The types of waiting homes and their capacity to accommodate clients differed across regions in Ethiopia. Objective: To assess the magnitude of maternity waiting home Utilization and associated factors among women who gave birth within 12 months prior to the survey in rural kebeles of Geta district Gurage zone, Central Ethiopian. 2025 Methods: A community-based cross-sectional study design was conducted to determine the extent of maternity waiting home utilization and its associated factors among women who gave birth within 12 months prior the survey in Geta district. A simple random sampling method was used to extract 365 samples from six rural kebeles from July 1 up to 30/2025. The data was collected through face-to-face interview by using pre-tested structured questionnaires. Then it was entered into Epi-data version 4.2 and then exported to SPSS version 26 for cleaning, coding, and analysis. And major analysis of data was conducted with binary logistic regression model Results: 365 mothers who had given birth in the last year were successfully interviewed. Out of the total study participants, 131 study participants (36%) mothers with the 95%CI of (31.0 _40.8) utilized maternity waiting home. ANC follow up (AOR = 9.001, 95% CI: 2.407,33.662, p = 0.001), maternal age 25-35yrs (AOR =20.1, 95% CI: 3.765,107.41, p = 0.001),no access to transportation facilities (AOR =57, 95% CI: 14.607,225.608, p = 0.000), multigravida 95%CI AOR =7.728 (1.692,35.293), maternal occupation being merchants were AOR= 12.787 , 95% CI: (3.193,51.207), women whose husbands were farmers With AOR= 22.9 with 95% CI of (4.912,106.767) p = 0.001, were identified as independent predictors of maternity waiting utilization Conclusion Overall, maternity waiting home utilization accounted for 36% of the study population, which is predicted with ANC follow up, maternal age, maternal gravidity, maternal and husband occupation. Therefore, enhancing maternity waiting home utilization may require expanding strategic approaches
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    MAGNITUDE AND ASSOCIATED FACTORS OF SURGICAL SITE INFECTION AMONG PATIENTS ADMITTED TO SURGICAL WARD OF WOLKITE UNIVERSITY COMPREHENSIVE SPECIALIZED HOSPITAL, WOLKITE, ETHIOPIA.
    (wolkite University, 2026-06) Dr Abel Woldegiorgis
    Background: Surgical site infections (SSI) are defined as infections apparent within 30 days of an operative procedure and a year if prosthetic implant is used. Globally, surgical site infections (SSIs) are one of the most commonly encountered complications after surgery(1). No study, on SSI, had been done in Wolkite university comprehensive specialized hospital (WUCSH). Therefore, this study was intended to determine the magnitude and associated factors of surgical site infections among patients admitted to surgical ward of WUCSH. Methods: Hospital based cross-sectional study was conducted on 168 files of patients who had been operated and admitted to surgical ward during the study period. Collected data was entered and analyzed using SPSS version 27. Binary logistic regression test was done to determine the relationship of SSIs and risk factors. Results were presented in tables and charts. Results: A total of 984 patients underwent both emergency and elective surgeries during the study period. The magnitude of SSI was 14.9% (95% CI: 9.9-21.2). Age of the patient (AOR 1.45(95%CI: 1.09-1.93), contaminated wound class (AOR 3.09, 95%CI 1.09-8.78), presence of surgical drain (AOR 8.13: 95%CI: 2.41-27.39) longer postop stay (AOR 1.29, 95%CI1.08-1.54) and high number of people in the OR (AOR 3.28, 95%CI 1.35-7.93) were found statistically significant risk factors. Surgical drain being the strongest risk factor. Conclusion and recommendation: The magnitude of SSI was generally high. The risk factors associated with SSI were: older age of the patient, contaminated wound, use of surgical drain, prolonged postoperative hospital stay and presence of large number of people in OR during the procedure. It is advisable for the hospital to have a standardized protocol to use a surgical drain and strictly monitor OR traffic and early safe discharge of patients to reduce surgical site infection rates.
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    MAGNITUDE OF MALARIA, ASSOCIATED FACTORS, AND ITS EFFECTS ON COAGULATION AND HEMATOLOGICAL PROFILES AMONG ADULT PATIENTS AT WOLKITE UNIVERSITY SPECIALIZED TEACHING HOSPITAL, CENTRAL ETHIOPIA: A CROSS-SECTIONAL STUDY
    (Wolkite University, 2025-01-30) ABEBE MINUTA
    Background: Malaria remains a significant global health issue, affecting hematologicaland coagulation profiles. Though there have been many studies on the magnitude ofmalaria and its associated factors worldwide, studies are limited in this study area.Objective: To assess the prevalence of malaria associated factors, and its effects oncoagulation and hematological profiles among adult patients at Wolkite UniversitySpecialized Teaching Hospital from February to April 2024.Methods: A cross-sectional study involving 286 malaria suspected patients wasconducted using a consecutive sampling technique. Data on sociodemographic, clinicalhistory were collected using a structured questionnaire. Coagulation profile analysisusing Urit 610 coagulometer, hematology profile analysis using a Zybio Z30 hematologyanalyzer, and blood film microscopy. Data was entered into EpiData 3.1 and transferredto SPSS version 26 for analysis. Binary logistic regression, the Mann-Whitney U test, andreceiver operating characteristic were employed to analyze the data. Statisticalsignificance was set at a p-value of less than or equal to 0.05.Results: The prevalence of malaria was 41 (14.3%). Risk factors included a history ofmalaria (AOR = 3.724, 95% CI: 1.316-10.537), stagnant water near homes (AOR =4.118, 95% CI: 1.801-9.413), and nighttime outdoor exposure (AOR = 4.505, 95% CI:1.677-12.106). Travel history (AOR = 3.365, 95% CI: 1.238-9.146) increased infectionrisk, while insecticide-treated net use was significantly protective (AOR = 6.208, 95%CI: 2.380-16.191). Malaria-infected patients exhibited prolonged prothrombin time andactivated partial thromboplastic time compared to non-infected. White blood cell counts,neutrophils, and monocytes were elevated. Red blood cells, and hemoglobin, plateletswere decreased. The best diagnostic values for malaria were monocyte count, red celldistribution width, and platelet distribution width.Conclusions: Community awareness is necessary to promote regular screening forindividuals with a history of malaria, eliminate stagnant water near homes, encourage theuse of insecticide-treated nets, and highlight the risks of nighttime outdoor exposure.Healthcare providers should closely monitor the impact of malaria on coagulation andhematological profiles to optimize diagnostic strategies and predict disease severity