167 research outputs found

    An online narrative archive of service user experiences to support the education of undergraduate physiotherapy and social work students in North East England: An evaluation study.

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    Background: Patient narratives are a viable process for patients to contribute to the education of future health professionals and social workers. Narratives can facilitate a deeper understanding of the self and others through self-reflection and encourage transformative learning among students. Increasingly, accounts of health and care are available online but their use in health and social work education requires evaluation. This study explored the experiences of stakeholders who contributed to, developed and used an online narrative archive, which was developed in collaboration with five universities and healthcare providers in the North East of England (CETL4HealthNE). Methods: Realistic evaluation principles were used to underpin data collection, which consisted of semi-structured interviews, a focus group and observations of educators using narrative resources in teaching sessions with different professional groups in two universities. Participants included educators, storytellers, narrative interviewers, students and a transcriber. Data were analysed thematically by two researchers and verified by a third researcher. Findings: Stakeholders reported that listening to patient narratives was challenging. The process of contributing the story was a positive cathartic experience for patients, and the powerful storyteller voice often evoked empathy. Students commented on the ability of the online audio-visual narratives to enable them to see the patient holistically, and educators reported that narratives provided a means to introduce sensitive topics. Conclusions: The use of a locally generated online narrative archive is beneficial for storytellers, students and educators, providing an opportunity to influence healthcare professional training. Care needs to be taken when exposing individuals to potentially sensitive narratives

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    Using Bluetooth Low Energy devices to monitor visitor activity in remote amenity spaces

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    Tracking of pedestrian behaviour, particularly route selection and temporal behaviours, can be difficult to undertake. This is especially true of studies at a community or campus level where the anonymity of pedestrians can be difficult to protect. The introduction of the EU’s General Data Protection Regulations 2016 (GDPR) has increased the complexity of this challenge. Advances in Bluetooth Low Energy (BLE) technology in recent years have increased the potential to monitor human behaviour by tracking and triangulating pedestrians. This paper describes an experiment undertaken along The Great South Wall at the Port of Dublin, which is considered a leading amenity location. Monitoring of visitor behaviour in places of this type can provide valuable information about the use of this and other public resources. The aims of this study were to test two prototypes to: i) determine the direction of participants carrying BLE devices, ii) determine the capabilities of two BLE scanning prototypes, (ESP32 & Raspberry Pi3), iii) test the ability of detecting a small number of BLE devices simultaneously while minimising interference or loss of passers-by data, iv) to investigate the use of a hash encoding scheme to anonymise BLE device identifiers. The findings show that the direction of the visitors to the pier can be detected by correlating the received signal strength indicator (RSSI) from multiple Bluetooth scanning devices and this can work where scanning devices are as close as 10m apart. The locations of the BLE scanners has a slight effect on detecting the RSSI from different distances and the distance between scanners needs to be considered to facilitate accurate measurement of direction. As a pier like the South Wall has only one entrance and exit point, this approach can also be used to determine the length of time spent on the pier. The technical performance of the two BLE scanners was also reviewed and the ESP32 was shown to have significantly lower power consumption with only a slight decrease in performance. Finally, it was shown that the BLE scanners can detect multiple carried BLE devices successfully without interference or loss of data as long as those devices are within range of the BLE scanners

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