http://ir.haramaya.edu.et//hru/handle/123456789/183 2026-07-04T21:57:41Z 2026-07-04T21:57:41Z Mohamed Ayanle Hassen Habtamu Kiros (Assist. Prof.) Kasahun Takele (PhD) http://ir.haramaya.edu.et//hru/handle/123456789/8696 2026-06-22T07:21:33Z 2025-04-01T00:00:00Z

BAYESIAN ANALYSIS OF FACTORS INFLUENCING INTENTION NOT TO USE CONTRACEPTIVES AMONG WOMEN IN REPRODUCTIVE AGE IN JIGJIGA CITY, SOMALI REGION ETHIOPIA Mohamed Ayanle Hassen; Habtamu Kiros (Assist. Prof.); Kasahun Takele (PhD) Contraception is the prevention of conception intentional through various tools, sexual practices, chemicals, drugs, or surgical procedure. Any kind of tool or actions whose purpose is to prevent a woman from becoming pregnant can be considered contraception. The main objective of this study was to identify factors influencing intention not to use contraceptives among Women in Reproductive Age in Jigjiga City, Somali Region Ethiopia, Bayesian logistic regression approaches were used to meet the objective. The study used primary data which was collected from sampled respondents across the four subcities of Somali regional state capital Jigjiga. Among married women who were in reproductive age (15 – 49) in Jigjiga city, a sample of 352 was taken for this study. Out of the 352 married women in reproductive age, 21 % (74) were contraceptive user, and 79 %( 278) were non-users at the time of the data collection. Similarly, among non users, that is 278, about 199(71.6%) had intention not to use modern contraceptive method. Study found that significant association between intention on contraceptive method and the socio-economic and demographic variables: Religion, Living Son(s), Desire to have more children, women’s Education Level, Information about Family planning, Known Family planning methods, Past Experience on contraceptives and Access to Family Planning Service.Bayesian logistic regression procedure were used to make inference, the result of the model parameters, and the model revealed that Protestants (RELIG2) significantly lower odds of intending not to use contraceptives (OR=0.23, 95% CrI: 0.06-0.58), Orthodox Christians (RELIG3) show no statistically significant difference (OR=0.73, 95% CrI:0.30-1.83). The results also show that women who have no desire (DRCH2) for more children have a 91% lower odd of intending not to use contraceptives than the reference (has desire). The result also showed that the odds of not intending to use contraceptive was 4.18 times higher for women who had no past experience than their counter parts. By addressing religious, informational, and behavioral barriers, policymakers and health providers can significantly improve contraceptive uptake and maternal health outcomes 63p.

2025-04-01T00:00:00Z Mohammed Abdella Abrahim Dr.Kasahun Takele (PhD) Million Wesenu (Asst. Prof) http://ir.haramaya.edu.et//hru/handle/123456789/8303 2025-03-13T06:25:51Z 2024-06-01T00:00:00Z

COMPUTING RISK ANALYSIS OF UNDER-FIVE CHILDREN WITH PNEUMONIA: THE CASE OF GENERAL HOSPITALS IN EAST HARARGE ZONE, ETHIOPIA Mohammed Abdella Abrahim; Dr.Kasahun Takele (PhD); Million Wesenu (Asst. Prof) Pneumonia is the one of infectious cause of morbidity and mortality among children under age five years in low and middle-income countries including Ethiopia. The main objective of this study was to analysis survival time to death under-age five children with pneumonia in the presence of computing risk in East Hararge Zone General Hospitals. To meet the study objective the retrospective study design was used secondary data on 436 sampled under-age five children with pneumonia patients from January 1st, 2022 up to January 1st, 2023. Out of 436 patients, 35 (8.03%) died from pneumonia, 29 (6.65%) died from other causes, 292 (66.97%) recovered from pneumonia, and 80 (18.35%) were censored. The maximum relative difference observed for the covariate between the cause-specific hazard ratios and sub-distribution hazard ratios was 89%. The model comparison was done using the sub-bayesian information criteria to select the best model to fit the data. The cause-specific hazard frailty model was appropriate as compared to candidate models to fit the pneumonia patient’s dataset. There was an unobserved heterogeneity due to clustering (Hospitals) in the survival experience of patients in Eastern Hararghe of General Hospitals. The final results of the cause-specific hazard frailty model showed that sex, age group 12-23, age group 24-35, health insurance, season of diagnosis in summer, acute respiratory tract infection, patient referral status, micro-nutrient deficiency, and weight were significant risk factors associated with death due to pneumonia in thepresence of competing risk. The male patients, patients whose age categories were 12-23, 24-35 months, the season of diagnosis summer, and patients with ARTI had a significantly increased risk of death due to pneumonia patients. While, patients who use health insurance, patients referred from other health centers and weight had significantly decreased risk of death due to pneumonia patients. It is recommended that the hospital variation should be taken into account during intervention and awareness creation should give to the local community to increase the health insurance status which reduces the child mortality risk of pneumonia. 84

2024-06-01T00:00:00Z KUMELA AYANSA TERESSA Alebachew Abebe (Asst. Prof) Kassahun Takele (PhD) http://ir.haramaya.edu.et//hru/handle/123456789/8273 2025-03-05T06:44:45Z 2024-06-01T00:00:00Z

DETERMINANTS OF TIME TO DEATH OF STROKE PATIENTS: USING SHARED FRAILTY MODELS KUMELA AYANSA TERESSA; Alebachew Abebe (Asst. Prof); Kassahun Takele (PhD) Stroke is a severe medical condition causing brain cell death, causing physical changes, communication problems, cognitive issues, emotional problems, and pain. Stroke, the second largest global death cause, is causing an increasing burden of mortality, morbidity, and disability. The main aim of this study was to analyze the factors influencing the time to death of stroke patients by using shared frailty models. The study was conducted in Harar City, at Harar General Hospital, Jegol Hospital and Hiwot Fana Specialized University Hospital. The study was utilized a retrospective study design and considered 224 sample stroke patients from 1 September 2020 to 1 November 2023. Among the total of 224 stroke patients 51(22.77%) experienced a death and the rest 173(77.23%) were censored. The estimated median time to death for stroke patients was 14 days, highlighting the acute nature of this condition. Through rigorous analysis, the Inverse Gaussian frailty model with the Weibull baseline hazard function emerged as the most suitable statistical model, accurately predicting the time to death of stroke patients and yielding the smallest AIC value. The study identified hypertension, cardiac disease, diabetes mellitus, atrial fibrillation, and basic complications as significant factors influencing time to death at a 5% significance level. Furthermore, clustering effect between hospitals appears to have a significant impact on the time it takes for stroke patients to die. This suggests that the presence of frailty (clustering) effects underscores the importance of considering hospital-level heterogeneity in understanding the time-to-death of stroke patients. In light of these findings, the recommendation of the study emphasizes the importance of better hospital management, investigating additional factors, and effectively managing conditions such as hypertension, cardiac disease, diabetes mellitus, atrial fibrillation, and basic complications to improve outcomes for stroke patients. 77

2024-06-01T00:00:00Z Gemechu Asfaw Zewude Habtamu Kiros (Asst. Prof) Kasahun Takele (PhD) http://ir.haramaya.edu.et//hru/handle/123456789/7184 2023-12-12T07:05:04Z 2023-12-01T00:00:00Z

BAYESIAN SURVIVAL ANALYSIS OF TIME TO EARLY MARRIAGE AMONG YOUNG WOMEN IN KERSA DISTRICT, EAST HARARGHE Gemechu Asfaw Zewude; Habtamu Kiros (Asst. Prof); Kasahun Takele (PhD) Early married age women are children who are married below the age of 18 years. The main objective of this research study was to identify factors that influence the survival time of early marriage among young women in Kersa District, Eastern Hararghe by using the Bayesian survival model. The Bayesian analysis include prior information about the parameter of model that leads to more efficient and more flexible with all information about the parameters. The data for this study was secondary data that have taken from the Kersa Health and Demographic Surveillance System (HDSS) of early-married young women as events and other child girls that not married still their 18 years old and withdraw from the study Kersa district without married at age of their 18 years are censored. In this study the data has used was from the 2018-2021 years data. Out of 44,405 young girls in Kersa district, the women who married early were 1,618 and considered as censored were 42,787. The result of the study shows that early marriage was being practiced in Kersa district especially in a rural area of the district meaning the women who live in sem_urban are less affected by early marriage. Of the total early married women in rural were 1576, and in sem_urban were 42. A higher number or 1,145 early married are illiterate than the number of literate early married women. The Bayesian Survival Weibull proportional hazard model identified a women education, wealth index, residency and women occupation as a significant factor of early marriage. The campaign against early marriage should concentrate on the girls in the direction of education and economically empowering girls. 80

2023-12-01T00:00:00Z