ASRIC Journal of Health Sciences 2025 v5-i1
ISSN: 2795-3637
EISSN: 2795-3637
Current Issue
ASRIC Journal of Health Sciences 2025 v5-i1
Published: 2025-12-31
Articles
Evaluating the Level of Renal Dysfunction and its Predictors among Adult Cardiovascular Patients, Bahir Dar, Ethiopia
Fekadu Ayelgn, Amare Mekuanint, Habtamu Wondifraw Baynes
Background: Renal dysfunction has become a significant public health concern and often manifests as a serious complication in patients with cardiovascular disease. This study aimed to assess the prevalence and underlying causes of renal dysfunction. Methods: Comparative cross-sectional study was conducted on 302 adult cardiovascular disease patients and controls at Tibebe Gihon Comprehensive Speci
Effect of Breastfeeding-Pregnancy Overlap on Current Pregnancy, and Pregnancy Outcomes Among Pregnant Women on ANC Follow-Up in Public Hospitals, North Shewa Zone, Central Ethiopia, 2024, Prospective Cohort Study
Eyosiyas Yeshialem Asefa, Awraris Hailu Bilchut, Lidya Chanyalew, Yohannes Moges3, Addis Yeshitila, Mahider Ayalew Mengist, Agmasie Damtew, Solomon Hailemeskel Beshah
In many low-income countries many women become pregnant while they are still breastfeeding their most recently born child. Breastfeeding a child during pregnancy considered a type of tandem feeding for the nursing mother as, she provides nutrition for two. Objective: To assess Effects of Breastfeeding-Pregnancy Overlap on Current Pregnancy, Pregnancy Outcome among Pregnant Women, Ethiopia in 2023.
Increased Prevalence of Hypertension in Dental Screening Patients in Mosoriot, Kenya: A Short Communication
Amy V. Gillespie, Craig W. Valentine, Ronald P. Strauss
Hypertension has been on the rise in sub-Saharan Africa. Informed screening initiatives will improve access to treatment and protect populations from the negative sequelae of chronically elevated blood pressure. Objectives: This retrospective analysis will investigate the prevalence of hypertension in 250 adult patients who attended a field dental screening in Mosoriot, Kenya in July, 2022. Method
Classification of Patient Satisfaction among People Living with HIV (PLHIV) Accessing Healthcare Services in Zambia: A Machine Learning-Driven Approach
Morley Mujansi, Alice Shemi, Masialeti Masialeti, Lottie Hachaambwa, Adebayo Olufunso
This study focused on how Zambian HIV treatment facilities employed machine learning methods, specifically sentiment classification techniques, to systematically sort patient happiness based on qualitative healthcare data. Manual analysis of patient feedback takes a lot of time, money, and effort and frequently produces biased results. More importantly, this reliance on outdated methods makes it h
Issues
