Assessment of Ethiopian Health Facilities Readiness for Implementation of Telemedicine

Ethiopiahas one of the lowest ratios of health professionals to population in the world. The few medical specialists who are available work mainly in the capital city and in a few regional cities. The use of telemedicine in public health facilities can mitigate the shortage of medical personnel. We conducted a survey of selected public health facilities located inAddis Ababa,Ethiopia. The study could be modified and extended to other countries in Sub-SaharanAfrica. In this study, we adapted Bakry’s e-government assessment model, STOPE (Strategy, Technology, Organizational, People, and Environment) to assess telemedicine readiness. Validity and reliability tests were conducted using the Smart PLS software package. The survey data was analyzed using SPSS version 16, and descriptive and analytical statistical reports were generated. The color-coded feature of the McConnell International analysis tool was used to display the results. All factors in STOPE indicated amber color, which implies the need for substantial improvements at the health facilities in order to adopt Telemedicine. The STOPE model results from this study show that the degree of readiness for telemedicine implementation varies from a weak rating for Technology readiness to strong rating for Organization readiness

Burden of injury along the development spectrum : associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017

Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. Results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.Peer reviewe

Assessment of Readiness for Launching Cloud Computing Services: The case of Ethio telecom, Ethiopia

A nation’s Telecom system plays an important role in its socio-economic development. Studies have suggested that Mobile Telephone systems are enhancing people’s standard of living across Africa. This case study assesses the technical and organizational readiness of Ethio telecom to implement Cloud Computing services. The study used STOPE model formulated by Bakry el al., (2004) as a theoretical base. Structured survey questionnaire was used to gather data from 100 Ethio telecom’s mid and operational level employees. Subsequently, SMART PLS structural equation modeling software was used for analyses and model testing of readiness across five variables: Technology, People, Organization, Strategy, and Environment. \ \ The outcome of the study shows that although Ethio telecom has the basic infrastructure to launch Cloud Computing, it needs major improvements on the technical and organizational dimensions. From practice point of view, the study signals the need to undertake readiness assessment before embarking on new technology adoption. From theoretical perspectives, the study validates Bakry\u27s (2004) STOPE model for readiness assessment at least for the company studied, and, possibly for telecom systems in Sub-Saharan Africa.