Browsing by Author "KIDEST FEKADU"

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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.