Transportation of Children in Ground Ambulances: Professionals' Knowledge and Safety Measures

Background: The transport of children in ground ambulances is a rarely studied topic worldwide. The ambulance vehicle is a unique and complex environment with particular challenges for the safe, correct and effective transportation of patients. Unlike the well developed and readily available guidelines on the safe transportation of a child in motor vehicles, there is a lack on consistent specifications for transporting children in ambulances. Nurses are called daily to transfer children to hospitals or other care centers, so safe transport practices should be a major concern. Purpose: to know which are the safety precautions and specific measures used in the transport of children in ground ambulances by nurses and firefighters and to identify what knowledge these professionals had about safe modes of children transportation in ground ambulances. Methods: In this context, an exploratory - descriptive study and quantitative analysis was conducted. A questionnaire was completed by 135 nurses and firefighters / ambulance crew based on 4 possible children transport scenarios proposed by the NHTSA (National Highway Traffic Safety Administration) and covered 5 different children´s age groups (new born children, 1 to 12 months; 1 to 3 years old; 4 to 7 years old and 8 to 12 years old). Results: The main results showed a variety of safety measures used by the professionals and a significant difference between their actual mode of transportation and the mode they consider to be the ideal considering security goals. In addition, findings showed that achieved scores related to what ambulance crews do in the considered scenarios reflect mostly satisfactory levels of transportation rather than optimum levels of safety, according to NHTSA recommendations. Variables as gender, educational qualifications, occupational group and local where professionals work seem to influence the transport options. Female professionals and nurses from pediatric units appear to do a safer transportation of children in ground ambulances than other professionals. Conclusion: Several professionals refereed unawareness of the safest transportation options for children in ambulances and did not to know the existence of specific recommendations for this type of transportation. The dispersion of the results suggests the need for investment in professional training and further regulation for this type of transportation.

Similarity Measures for Exam Timetabling Problems

A large number of heuristic algorithms have been developed over the years which have been aimed at solving examination timetabling problems. However, many of these algorithms have been developed specifically to solve one particular problem instance or a small subset of instances related to a given real-life problem. Our aim is to develop a more general system which, when given any exam timetabling problem, will produce results which are comparative to those of a specially designed heuristic for that problem. We are investigating a Case based reasoning (CBR) technique to select from a set of algorithms which have been applied successfully to similar problem instances in the past. The assumption in CBR is that similar problems have similar solutions. For our system, the assumption is that an algorithm used to find a good solution to one problem will also produce a good result for a similar problem. The key to the success of the system will be our definition of similarity between two exam timetabling problems. The study will be carried out by running a series of tests using a simple Simulated Annealing Algorithm on a range of problems with differing levels of similarity and examining the data sets in detail. In this paper an initial investigation of the key factors which will be involved in this measure is presented with a discussion of how the definition of good impacts on this.

Similarity Measures for Exam Timetabling Problems

A large number of heuristic algorithms have been developed over the years which have been aimed at solving examination timetabling problems. However, many of these algorithms have been developed specifically to solve one particular problem instance or a small subset of instances related to a given real-life problem. Our aim is to develop a more general system which, when given any exam timetabling problem, will produce results which are comparative to those of a specially designed heuristic for that problem. We are investigating a Case based reasoning (CBR) technique to select from a set of algorithms which have been applied successfully to similar problem instances in the past. The assumption in CBR is that similar problems have similar solutions. For our system, the assumption is that an algorithm used to find a good solution to one problem will also produce a good result for a similar problem. The key to the success of the system will be our definition of similarity between two exam timetabling problems. The study will be carried out by running a series of tests using a simple Simulated Annealing Algorithm on a range of problems with differing levels of similarity and examining the data sets in detail. In this paper an initial investigation of the key factors which will be involved in this measure is presented with a discussion of how the definition of good impacts on this.

Task-based approach used on surfaces sampling strategy definition: the case of antineoplastic occupational exposure

Task-based approach implicates identifying all the tasks developed in each workplace aiming to refine the exposure characterization. The starting point of this approach is the recognition that only through a more detailed and comprehensive understanding of tasks is possible to understand, in more detail, the exposure scenario. In addition allows also the most suitable risk management measures identification. This approach can be also used when there is a need of identifying the workplace surfaces for sampling chemicals that have the dermal exposure route as the most important. In this case is possible to identify, through detail observation of tasks performance, the surfaces that involves higher contact (frequency) by the workers and can be contaminated. Identify the surfaces to sample when performing occupational exposure assessment to antineoplasic agents. Surfaces selection done based on the task-based approach.