Healthcare professionals' satisfaction toward the use of district health information system and its associated factors in southwest Ethiopia: using the information system success model

BackgroundEthiopia has the potential to use the district health information system, which is a building block of the health system. Thus, it needs to assess the performance level of the system by identifying the satisfaction of end users. There is little evidence about users' satisfaction with using this system. As a result, this study was conducted to fill this gap by evaluating user satisfaction and associated factors of district health information system among healthcare providers in Ethiopia, using the information system success model.MethodsAn institutional-based cross-sectional study was conducted from November to December 2022 in the Oromia region of southwest Ethiopia. A total of 391 health professionals participated in the study. The study participants were selected using a census. Using a self-administered questionnaire, data were collected. Measurement and structural equation modeling analyses were used to evaluate reliability, the validity of model fit, and to test the relationship between the constructs, respectively, using analysis of moment structure (AMOS) V 26.ResultsSystem quality had a positive direct effect on the respondent's system use (β = 0.18, P-value < 0.001), and satisfaction (β = 0.44, P-value < 0.001). Service quality had also a direct effect on the respondent's system use (β = 0.37, P-value < 0.01), and satisfaction with using the district health information system (β = 0.36, P-value < 0.01). Similarly, system use had also a direct effect on the respondent's satisfaction (β = 0.53, P-value < 0.05). Moreover, computer literacy had a direct effect on the respondent's system use (β = 0.63, P-value < 0.05), and satisfaction (β = 0.51, P-value < 0.01).ConcussionsThe overall user satisfaction with using the district health information system in Ethiopia was low. System quality, service quality, and computer literacy had a direct positive effect on system use and user satisfaction. In addition, system use and information quality had a direct positive effect on healthcare professionals' satisfaction with using the district health information system. The most important factor for enhancing system use and user satisfaction was computer literacy. Accordingly, for the specific user training required for the success of the district health information system in Ethiopia, the manager should offer additional basic computer courses for better use of the system

Sampling procedure for selecting study participants at private hospitals in Amhara region, Ethiopia 2021.

Sampling procedure for selecting study participants at private hospitals in Amhara region, Ethiopia 2021.</p

Core and engagement and overall readiness of health professionals’ towards telemedicine at private hospitals in Amhara region Ethiopia, 2021.

Core and engagement and overall readiness of health professionals’ towards telemedicine at private hospitals in Amhara region Ethiopia, 2021.</p

Technical factors towards telemedicine readiness among health professionals at private hospitals in the Amhara region 2021.

Technical factors towards telemedicine readiness among health professionals at private hospitals in the Amhara region 2021.</p

Knowledge and attitude towards telemedicine among health professionals working at private hospitals in Amhara region, Ethiopia, 2021.

Knowledge and attitude towards telemedicine among health professionals working at private hospitals in Amhara region, Ethiopia, 2021.</p

S1 Data -

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Bi-variate and multivariate analysis on factors associated with readiness of health professionals for telemedicine system in private hospitals, Amhara region, 2021.

Bi-variate and multivariate analysis on factors associated with readiness of health professionals for telemedicine system in private hospitals, Amhara region, 2021.</p

Socio-demographic characteristics of health professionals working in all private hospitals Amhara region 2021 (N = 410).

Socio-demographic characteristics of health professionals working in all private hospitals Amhara region 2021 (N = 410).</p

Organizational factors for health professionals’ readiness towards telemedicine in private hospitals Amhara region 2021 (N = 410).

Organizational factors for health professionals’ readiness towards telemedicine in private hospitals Amhara region 2021 (N = 410).</p

Exploring Machine Learning Algorithms to Predict Diarrhea Disease and Identify its Determinants among Under-Five Years Children in East Africa

Abstract Background The second most common cause of death for children under five is diarrhea. Early Predicting diarrhea disease and identify its determinants (factors) using an advanced machine learning model is the most effective way to save the lives of children. Hence, this study aimed to predict diarrheal diseases, identify their determinants, and generate some rules using machine learning models. Methods The study used secondary data from the 12 east African countries for DHS dataset analysis using Python. Machine learning techniques such as Random Forest, Decision Tree (DT), K-Nearest Neighbor, Logistic Regression (LR), wrapper feature selection and SHAP values are used for identify determinants. Result The final experimentation results indicated the random forest model performed the best to predict diarrhea disease with an accuracy of 86.5%, precision of 89%, F-measure of 86%, AUC curve of 92%, and recall of 82%. Important predictors’ identified age, countries, wealth status, mother’s educational status, mother’s age, source of drinking water, number of under-five children immunization status, media exposure, timing of breast feeding, mother’s working status, types of toilet, and twin status were associated with a higher predicted probability of diarrhea disease. Conclusion According to this study, child caregivers are fully aware of sanitation and feeding their children, and moms are educated, which can reduce child mortality by diarrhea in children in east Africa. This leads to a recommendation for policy direction to reduce infant mortality in East Africa