People with ID as active participants in nursing research : a literature review.

Aim: The movement from a medical model of disability to a more social model implies an imperative to include the views of people with ID in research regarding their care. Contemporary quality processes in improving care require consumer involvement at many levels and in doing so have shown better outcomes. A New Zealand research study is being undertaken utilizing focus groups with people with ID to understand their experiences during a psychiatric inpatient admission. The primary focus of this presentation will concern the literature review, undertaken as part of the study, of research in which people with ID have participated. Method: The literature review was conducted using a variety of electronic databases and search terms to identify studies with people with ID as active participants. Results: Only a few studies have been undertaken with people with ID as participants. While these studies demonstrate numerous benefits in including the voice of the person with ID this still remains absent from much of the research discourse. Conclusion: It is accepted and indeed advocated that people with ID have the same rights as others in regard to choosing whether or not they wish to participate in research. High response rates in the few identified studies indicated that people with ID are eager to be consulted. It is recommended that the unique needs of people with ID be taken into account in the research evidence base for future services.

Is bus overrepresented in Bluetooth MAC Scanner data? Is MAC-ID really unique?

One of the concerns about the use of Bluetooth MAC Scanner (BMS) data, especially from urban arterial, is the bias in the travel time estimates from multiple Bluetooth devices being transported by a vehicle. For instance, if a bus is transporting 20 passengers with Bluetooth equipped mobile phones, then the discovery of these mobile phones by BMS will be considered as 20 different vehicles, and the average travel time along the corridor estimated from the BMS data will be biased with the travel time from the bus. This paper integrates Bus Vehicle Identification system with BMS network to empirically evaluate such bias, if any. The paper also reports an interesting finding on the uniqueness of MAC IDs.