Community networks. Xavier Medical Clinic Tulsa, OK.
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COCOON is an innovative project developed in the e-health area of the Sixth Framework Programme co-financed by European Commission. It is an Integrated Project aimed at supporting health care professional in reducing risk management in their daily practices by building knowledge driven and dynamically adaptive networked communities within European healthcare systems.
A community-based electronic medical record sharing network system (EMI net) was developed in Matsudo City. This system facilitates communication between GPs and visiting nurses in charge of patients under homecare and it has proved useful from the view point of visiting nurses. For example nurses can read the information input by visiting GPs timely, share common view on the patients with GPs, and write a report illustrated with photographs at any time. Moreover, they can communicate with GPs through E-mail. On the other hand, EMI net remains to be improved in a few aspects, such as the need of a system to indicate a record has been read by GPs and to decrease the labor for entering data. We plan to increase the services provided by EMI net by enrolling other facilities.
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The work of the Road Trauma Support Team highlights the ongoing impact of road trauma on rural communities. Small population size and close social networks mean that road trauma can have a negative effect on social relations across the whole community. Much of the 'flow-on' effect of road trauma, in the form of community distress, can be alleviated by increased skills, information about responding to road trauma, and the establishment of supportive community networks. This paper reports on the implementation and evaluation of a project that addressed knowledge, skills and awareness of road trauma in rural communities. Funded by the Rural Health Support Education and Training (RHSET) program and conducted by the Road Trauma Support Team, the project focused on the impact of traumatic events in small communities and strategies to maximise effective participation of community members and health workers in response to trauma. Piloted in six rural communities in northern Tasmania, the project has developed an educational resource package.
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Similar to many communities around the United States in the late 1990s, Muncie, Indiana, and the surrounding county created a year 2000 committee, called, "You and Year 2000, Inc.: The Muncie and Delaware County Millennium Project" to sponsor, plan, and conduct activities to celebrate the new millennium and ponder the community's past, present, and path to the future. Part of the Committee's planning was to create a legacy of the year-long celebration that would attack a community problem. Partnering with the local hospital, the Committee decided to attack the problem of cancer through a fund-raising campaign to build a cancer center and cancer education/screening program. The purpose of this article is to describe the application of a community organizing/building model used to create a community-wide cancer education/screening program and share the lessons learned (or relearned). The planning process used to develop the education/screening program is one that could be duplicated elsewhere.
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We address the question of finding the community structure of a complex network. In an earlier effort [H. Zhou, Phys. Rev. E 67, 041908 (2003)], the concept of network random walking is introduced and a distance measure defined. Here we calculate, based on this distance measure, the dissimilarity index between nearest-neighboring vertices of a network and design an algorithm to partition these vertices into communities that are hierarchically organized. Each community is characterized by an upper and a lower dissimilarity threshold. The algorithm is applied to several artificial and real-world networks, and excellent results are obtained. In the case of artificially generated random modular networks, this method outperforms the algorithm based on the concept of edge betweenness centrality. For yeast's protein-protein interaction network, we are able to identify many clusters that have well defined biological functions.
OBJECTIVE: Determine the impact of a community intervention in perinatal health in, cities of the State of Chihuahua, Mexico. PATIENTS, MATERIAL AND METHODOLOGY: A community intervention was designed including pregnant women (n = 1233), and finally 1148 (6.74% of loss) group intervention (n = 261) control group (n = 887). Intervention consisted of five visits prior to delivery during the 22nd, 26th, 30th, 34th and 38th weeks, as well as a visit during the first 8 days in puerperium, providing social and educational support. In regards to the control group, they were visited in two different occasions, week 22 and purperium, indicating them to continue with their regular care. The outcome variables were perinatal mortality, premature birth (< 37 weeks), low weight at birth (< 2500 grams) and perinatal morbidity. RESULTS: Perinatal mortality rate was smaller in the intervention group 3.8 per 1000 born alive; perinatal mortality in the control group was 13.1. No statistically considerable difference was found in premature birth, in low weight at birth and in perinatal morbidity. CONCLUSION: Community intervention provides a support to pregnant women under psychosocial risk factors; nevertheless, it does not contribute to considerably decrease premature birth, low weight at birth or perinatal complications.
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