Search

Public access defibrillation (PAD) programs are a major goal of the American Heart Association (AHA) to ensure that automated external defibrillators and trained lay rescuers are available in public areas where sudden cardiac arrest (SCA) is likely to occur. The Johnson County Early Defibrillation Task Force (JCEDTF) is a volunteer organization which distributed AEDs throughout Johnson County, Iowa. JCEDTF was responsible for initial training but ongoing support was the responsibility of each site.The purpose of this study was to evaluate compliance of community PAD sites to recommendations for site maintenance as proposed by the American Heart Association (AHA).Thirty-two surveys were distributed to community PAD sites that received assistance from JCEDTF. PAD sites were categorized into business, educational, or community sites. A twenty-five point scoring system to assess PDA programs was developed based on AHA recommendations. On-site evaluations were conducted to verify survey results and assess barriers to an effective PAD site. Differences among the three categories were measured with ANOVA.No site was able to comply with all the AHA guidelines for a PAD site. The mean score among all sites was 57% of possible points with no significant differences among the three categories. Business sites were more compliant with ongoing training compared to educational and community sites (p0.022).Community PAD sites in Johnson County currently do not comply with the recommendations for effective PAD sites. After initial training and establishment of community PAD sites, better methods for assuring ongoing training and maintenance are needed for sites to be effective.

The Distributed Evolutionary Algorithm (DEA) presented in this paper produces efficient TDMA schedules for communication in an environment of changing network topology by passing topological and traffic information among nodes communicating on the schedule. As information is gained in this way more nodes are added to the communicating group until the entire network is communicating on a common schedule. The key feature of the DEA presented is that the reorganization phase is fast, requiring a number of TDMA slots only on the order of the number of nodes. A secondary feature is that some network communication can take place, and thus some of the traffic requirements can be satisfied, even while the network is being reorganized. Numerical results are presented for a number of randomly generated networks which show how the algorithm performs.