Name
Abstract | ||
|---|---|---|
Training in community life support has been shown to lessen the mortality from sudden myocardial events'. Such community training is badly quantified and its efficacy difficult to prove. In a diversity of communities in the West of Scotland emergency life support (ELS) training schemes have been set up in localities ranging from isolated islands tourban centres with considerable social disadvantage. An Access database(2) was created that has captured demographic data about those trained. This simple technique, with data-capture from a wide range of lay trainers, is demonstrating at its crudest exactly how many have been trained. It can show population rates of training and compare these with the international target of 20% of the population. It highlights the age bands of those trained and whether the socially disadvantaged are having equitable training. UK Post-code (Zip-code) has in parallel with other Scottish wore been used as a proxy for social circumstances. The greatest value of the database is that it is ready to be married up with national data from the Scottish Ambulance Service and allied studies(4) to show over time how effective the training is in altering mortality, The effort in creating and maintaining such an epidemiological database requires faith. It is the "posterity planting" of modern public health medicine. |
Year | Venue | Keywords |
|---|---|---|
2001 | MEDINFO 2001: PROCEEDINGS OF THE 10TH WORLD CONGRESS ON MEDICAL INFORMATICS, PTS 1 AND 2 | databases, emergency life support, epidemiology |
Field | DocType | Volume |
Data science,Data mining,Life support,Knowledge management,Medicine | Conference | 84 |
Issue | ISSN | Citations |
Pt 2 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |