Master of Public Health in Epidemiology

Permanent URI for this collectionhttps://etd.hu.edu.et/handle/123456789/28

Browse

Filters

2023 - 20242

Settings

Start date: 2023Subject: search.filters.subject.Central region

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    THE LEVEL OF ROUTINE HEALTH INFORMATION SYSTEM DATA QUALITY AND ASSOCIATED FACTORS AT PUBLIC HOSPITAL IN SILTE ZONE, CENTRAL REGION, ETHIOPIA, 2023
    (hawassa universty, 2023-11) NIGUSSIE DUKAMO
    Background: Routinely collected data of poor quality can compromise the validity of effect evaluations and lead to poor decision-making, inappropriate resource allocation, and a loss of trust in the health system. Routine health information system data are seen as poor in quality and are not used for decisions in Ethiopia, and continues to be a significant problem. Objectives: To assess the level and associated factors of routine health information system data quality; and explore the factors affecting data quality at public hospitals in Silte Zone, Central Region Ethiopia, 2023 Methods and materials: Facility based mixed method with an embedded study design was conducted. A total of four public hospitals, 32 units or departments, 605 health care workers, and 12 key informant interviews were selected. Simple random sampling and purposive sampling techniques were used for selecting study participants in quantitative and qualitative study. The data was entered into Epi-data version 4.4, open code 4.03 and exported to SPSS version 26, and descriptive statistics were used to assess the level of data quality, and Binary logistic regression and thematic analysis was run to identify factors affecting data quality. Adjusted odds ratios with 95% confidence intervals and themes or subthemes were reported. Result: The overall study conducted facility data quality level was 90.84%; completeness and consistence of data in this study were 85.5% and 85.3% respectively. Easily understandability of registration and report format [AOR 1.92; CI 1.11-3.33], receive training [AOR 1.62; CI 1.07- 2.44], getting supervision [AOR 1.66 CI 1.05-2.61], provide regular feedback [AOR 1.72 CI 1.07- 2.75], team’s work appreciated and valued by supervisors [AOR 1.61; CI 1.04-2.75] and decisions and follow up actions identified in Performance monitoring team meetings [AOR 1.73; CI 1.12- 2.67] were significantly associated with data quality ; and thematic analysis was done and categorized into four themes and twelve sub-themes. Conclusion and recommendation: The level of data quality at the public hospital in Silte Zone is almost equal to the national expected level of data quality, but completeness &consistency of the data were lower than the national expected level. For MOH and other supporting organization to fully transforming the paper based service registration to an electronic-based medical recording system in which it will reduce incompleteness and inconsistency of data and to increase data quality
  • No Thumbnail Available
    Item
    ASSESSMENT OF CALF MORBIDITY AND MORTALITY RATE AND ASSOCIATED RISK FACTORS ON SMALLHOLDER DAIRY FARMS IN SELECTED DISTRICTS OF CENTRAL REGION, ETHIOPIA
    (hawassa universty, 2024-05) BIRUK ALEMU BASORE
    The dairy sector in Ethiopia is crucial for the agricultural economy by improving smallholder farmers’ livelihood. However, challenges with calf morbidity and mortality hinder the industries development. A longitudinal study was conducted from December 2022 to May 2023, on 204 calves in selected 120 smallholder dairy farms of three districts of central region, Ethiopia. The objectives of the study were to estimate calf morbidity and mortality rate, and to identify predisposing risk factors in the first six months of life. Survival analysis using the Kaplan–Meier (K-M) method, and Cox proportional hazard regression were employed to compute the life-to event data on morbidity and mortality. The total crude morbidity and mortality rates for calves in the study areas were 13 and 4 cases per 100 calf months at risk, respectively. The study revealed that the cumulative incidence of all-cause mortality and all-cause morbidity were 21% and 54%, respectively. Diarrhea was the most commonly diagnosed disease syndrome, leading to 25% morbidity and 14.7% mortality. The morbidity rate in males was 1.86 times higher than female (p<0.05). The calf born from assisted dam during calving had a higher risk of morbidity than calf born from not assisted dam (HR=1.93, p<0.05). The study also revealed that non-concrete farm floors are related significantly to a greater risk of morbidity (HR = 2.88, p<0.05) than concrete floors. The risk of morbidity was decreased by 49%, 53%, 79% and 73% in calves that were fed colostrum, weaned after 90 days, born to local breed dams, and in calves older than 90 days, respectively when other parameters held constant. Likewise, the mortality risk was higher on assisted calving (HR=7.7, p<0.05), on calves born outdoors (HR = 27.3, p<0.05), on early separation of the calf (HR = 7.68, p<0.05), and in non-concrete floor farms (HR=9.18, p<0.05). By holding other model parameters constant, the risk of mortality was decreased by 75%, 77%, 95%, 97%, and 85% in calves that were reared in urban area, consumed colostrum of their dam, got presence of dam during hand feeding, weaned after 90 days of their age, and in calves older than 90 days, respectively. The high rates of calf morbidity and mortality in the current study area pose a significant challenge to dairy sector's development. Hence, enhancing good management practices and conducting further confirmatory investigations are suggested to address and reduce risk factors for calf health problems and mortality.