College of Medicine and Health Science

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    UTILIZATION LEVEL OF ELECTRONIC COMMUNITY HEALTH INFORMATION SYSTEM AND ASSOCIATED FACTORS AMONG HEALTH EXTENSION WORKERS IN SIDAMA REGION, ETHIOPIA
    (hawassa universty, 2024-11) KIDEST FEKADU
    Background: Effective community health management information systems are important in low-resource countries that rely heavily on community-based health care providers. However, there is no evidence of the level of utilization of electronic community health information systems. The aim of this study is to assess the utilization of electronic community health information systems and associated factors among health extension workers in the Sidama region of Ethiopia in 2023. Methods: Concurrent mixed methods design was used: Quantitative cross-sectional studies and qualitative phenomenology designs among 402 health extension workers and 8 participants for qualitative study from April to June 2023. Multi-stage sampling techniques have been used. Data were extracted by interview methods using the Kobo toolbox and then exported to SPSS version 25 for analysis. Variables having P<0.25 in bivariate analysis were fitted for multivariable regression. Whereas, an explorative qualitative study was employed, involving key informant interviews and in-depth interviews with a purposefully chosen interviewee, and the data was analyzed using Atlas software. Result: The study revealed the overall utilization level of the community health information system in Sidama was 40.3% (95% CI: 35.5%, 45.3%). Supportive supervision from primary health care units (AOR = 0.46, 95% CI = 0.28, 0.55), supportive supervision from Woreda Health Office (AOR = 0.51, 95% CI = 0.29, 0.91), connectivity (AOR = 0.55, 95% CI = 0.32, 0.94), receiving electronic community health information system guidelines (AOR = 0.45, 95% CI = 0.27, 0.75), and perceived competency (AOR = 0.54, 95% CI = 0.34, 0.86) were significant factors. The budget constraint, infrastructure, follow-up problem, technological problems, lack of commitment, and role confusion were challenges for the utilization of the system. Conclusion and Recommendation: More than half of the health extension workers had no electronic health information system utilization . Supervision from primary health care units , Supervision fromworeda health offices, connectivity, guidelines and perceived competency were responsible for the result. Therefore, Improving, boosting internet connectivity, supportive follow-up, training access for their competency and fulfilling the guidelines are important to scale up the utilization. This finding is supported by qualitative study.
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    UTILIZATION OF ELECTRONIC COMMUNITY HEALTH INFORMATION SYSTEM (eCHIS) AND ASSOCIATED FACTORS AMONG HEALTH EXTENSION WORKERS IN SIDAMA REGION, ETHIOPIA
    (hawassa universty, 2023-05) KIDEST FEKADU
    Background: Effective community health management information systems (C-HMIS) are important in low-resource countries that rely heavily on community-based health care providers [3]. Electronic community health information systems (eCHIS) have been increasingly developed and deployed to quantify and support services delivered by community health workers. However, there is no evidence of the level of utilization of electronic community health information systems. Objective: The main aim of this study is to assess the level of electronic community health information system (eCHIS) and associated factors among health extension workers in the Sidama region, Ethiopia, in 2023. Methods: This study employed quantitative (cross-sectional) studies complemented by qualitative (Phenomenology) study designs. All health posts found in the Sidama region and health extension workers have been included in the study. Quantitative data has been collected using a pre-tested, structured, self-administered questionnaire whereas qualitative data has been collected from in-depth interviews with key informants (KIs). The collected quantitative data has been entered into Epi-Data Version 3.1 and is being analyzed using SPSS version 25 software. A descriptive summary has been computed using proportions and frequencies. Multi Variable Logistic Regression analysis has been computed to identify the factors associated with eCHIS use and Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) has been reported. On the other hand, the qualitative data has been analyzed thematically and the results had being presented in narration. Work plan and Budget: The study has been conducted from January October 2022 to May 2023 and a total of 131,540.2 Birr has been required to carry out this study.
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    UTILIZATION OF LONG-LASTING INSECTICIDE TREATED-NETS AND ASSOCIATED FACTORS AMONG MODEL AND NON-MODEL HOUSE HOLDES OF MALARIOUS KEBELES IN WONDO GENET DISTRICT, SIDAMA REGION, ETHIOPIA
    (hawassa universty, 2024-05) AGEZE BUTA (BSc)
    Background: Long-lasting insecticidal-treated nets have been widely used as an effective measure to prevent malaria.. Despite the long lasting insecticide distribution in the district, malaria morbidity increased in the study area. Objectives: To assess the utilization of Long-Lasting Insecticide-Treated nets and its associated factors among model and non-model households in Wondo Genet District, Sidama, Ethiopia Methods: The community based comparative cross-sectional study was conducted in Wondo Genet District, Sidama Region, Ethiopia, from April 1 to 30, 2024. By a simple random method, 636 households that had at least one long-lasting insecticide-treated bed net were selected. Model and non-model households were taken from the registration books of health post. Data was collected through face-to-face interviews and observation techniques using the KOBO tool. The SPSS was used to analyze the data. Bivariate and multivariable logistic regression analyses were used to identify associated factors with the utilization of long lasting insecticide-treated nets. Finally, the result was presented by using the crude odds ratio and the adjusted odds ratio with a 95% confidence interval. In all analyses, variables with a p value less than 0.05 were used to declare a state of significance. Result: The finding indicated that overall utilization of long-lasting Insecticide Treated Nets was 50.8%( 95%CI=46.5-54.5) of which 61.3%(95%CI=55.6-66.8) were from model households and 40.3% (95%CI=34.8-46) from non-model households. Factors significantly associated with the utilization of long lasting insecticides were model householdss (AOR=2.751, 95%CI=1.931-3.918), the presence of under five children (AOR=1.795, 95%CI=1.271-2.535), washing of Long-Lasting Isecticide Treated Netts (AOR=2.378, 95%CI=1.675-3.374), health extension workers visit (AOR=1.453, 95%CI=1.020 2.070),positive attitude (AOR=1.745, 95%CI=1.221-2.494), and female (AOR=0.590, 95%CI=0.413 0.843) were significantly associated with utilization of Long-Lasting Insecticide Treated Nets.. Conclussion: Study showed that model Households were more utilize Long-Lasting Insecticide treated Nets than non-model households. However, overall utilization of Long lasting treated nets were below national malaria elimination targets.The result of this study indicated that, being model households, washing of Long-Lasting Insecticide-Treated Nets, presence of underfive children, health extension workers visit, attitude, and sex were significant associated factors.
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