The relevance of telehealth across the digital divided the transfer of knowledge over distance

This paper explores the concept of Relevance as an explanatory factor to the diffusion of ITuse, or, in this paper particularly, the use of Telehealth. Relevance is the net value of performance expectancy and effort expectancy and contains both micro-relevance (i.e. here-and-now) and macro-relevance (i.e. actual goals) Following the case-study approach, two Telehealth situations were studied in Rwanda and The Netherlands. In the comparison, two more existing studies in Canada and Tanzania were included. The conclusion is that Relevance is the explanatory factor, whereas particularly micro-relevance is crucial. Without the micro-relevant occasions that initiate use, there will be no use on longer term In the cases studied the micro-relevance of knowledge-transfer was crucial. Furthermore distance determined Telehealth relevance. Practical conclusions to cases were drawn

Making information and communication technologies work for food security in Africa

"Africa faces a difficult challenge in meeting the main target of the first Millennium Development Goal — to halve the number of people suffering from malnutrition and hunger by 2015. Bridging the digital divide through the development and use of information and communication technologies (ICTs)—such as fixed-line and mobile phones and Internet services—will not directly solve this challenge, but it can make a significant contribution." from Text

Feasibility of Using Technology to Disseminate Evidence to Rural Nurses and Improve Patient Outcomes

Background: Rural African American women receive less frequent mammography screening and die of breast cancer at a higher rate than is seen in the general population. To overcome this disparity, it is necessary to assist rural providers in their efforts to influence women to obtain screening. Method: This study examined the feasibility of using distance education to disseminate knowledge about timely and appropriate mammography screening to rural nurses, using patient outcome data to evaluate the effectiveness of this intervention. Results: Overall, there was a decline in referrals and mammography screening, but the intervention group centers showed a smaller decline after the educational intervention than did the control group. Conclusion: The findings show the effect of dissemination of information and the feasibility of using patient outcome data for educational evaluation. Neighboring academic health centers and nursing schools should include in their mission the provision of educational programs for relatively isolated rural nurses.health technology, rural health