Patients, Professionals and the Internet: Renegotiating the Healthcare Encounter

The aim of this research was to examine how patient use of internet information impinges on the utilisation of healthcare services. The research had the following objectives: + to quantify the extent, and patterns, of patients use of the internet as a health information resource and identify the factors leading to variations in behaviour. + to identify the search strategies employed by patients in accessing internet health information internet and the evaluative approaches used in assessing information quality. + to analyse the content and dynamics of virtual health communities and how participation in such communities is integrated into engagement with health services. + to document the evolving nature of patient-professional interaction arising from patient access to health information and the subsequent format of the healthcare encounter. + to assess the effect of changing patient access to information and changes in the healthcare encounter on patterns of patient decision making and health behaviours

Health communities as permissible space: supporting negotiation to balance asymmetries

Online communities provide promising opportunities to support patient–professional negotiations that address the asymmetries characterizing health services. This study addresses the lack of in-depth understanding of these negotiations, what constitutes successful negotiation outcomes, and the potential impact of negotiation on offline health behaviors. Adopting a netnographic approach, two threads were observed from each of the four online health communities focusing on breast cancer, prostate cancer, depression, and diabetes, respectively. This analysis was supplemented with 45 in-depth interviews. The evidence suggests that online health communities can be constructed as permissible spaces. Such virtual spaces facilitate the type of patient–professional negotiations that can redress asymmetries. The critical elements of the negotiation process are identified as occupation, validation, advocacy, and recording. These support patients and professionals as they debate and resolve conflicts in how they experience health. Direct tangible offline negotiation outcomes are reported (e.g., changes in treatment plans). Implications for professional–patient partnerships are also explored

Pedestrian Behavior Study to Advance Pedestrian Safety in Smart Transportation Systems Using Innovative LiDAR Sensors

Pedestrian safety is critical to improving walkability in cities. Although walking trips have increased in the last decade, pedestrian safety remains a top concern. In 2020, 6,516 pedestrians were killed in traffic crashes, representing the most deaths since 1990 (NHTSA, 2020). Approximately 15% of these occurred at signalized intersections where a variety of modes converge, leading to the increased propensity of conflicts. Current signal timing and detection technologies are heavily biased towards vehicular traffic, often leading to higher delays and insufficient walk times for pedestrians, which could result in risky behaviors such as noncompliance. Current detection systems for pedestrians at signalized intersections consist primarily of push buttons. Limitations include the inability to provide feedback to the pedestrian that they have been detected, especially with older devices, and not being able to dynamically extend the walk times if the pedestrians fail to clear the crosswalk. Smart transportation systems play a vital role in enhancing mobility and safety and provide innovative techniques to connect pedestrians, vehicles, and infrastructure. Most research on smart and connected technologies is focused on vehicles; however, there is a critical need to harness the power of these technologies to study pedestrian behavior, as pedestrians are the most vulnerable users of the transportation system. While a few studies have used location technologies to detect pedestrians, this coverage is usually small and favors people with smartphones. However, the transportation system must consider a full spectrum of pedestrians and accommodate everyone. In this research, the investigators first review the previous studies on pedestrian behavior data and sensing technologies. Then the research team developed a pedestrian behavioral data collecting system based on the emerging LiDAR sensors. The system was deployed at two signalized intersections. Two studies were conducted: (a) pedestrian behaviors study at signalized intersections, analyzing the pedestrian waiting time before crossing, generalized perception-reaction time to WALK sign and crossing speed; and (b) a novel dynamic flashing yellow arrow (D-FYA) solution to separate permissive left-turn vehicles from concurrent crossing pedestrians. The results reveal that the pedestrian behaviors may have evolved compared with the recommended behaviors in the pedestrian facility design guideline (e.g., AASHTO’s “Green Book”). The D-FYA solution was also evaluated on the cabinet-in-theloop simulation platform and the improvements were promising. The findings in this study will advance the body of knowledge on equitable traffic safety, especially for pedestrian safety in the future

Mixed Chamber Ensembles

Kennesaw State University School of Music presents Mixed Chamber Ensembles, 2:00 p.m. performance.https://digitalcommons.kennesaw.edu/musicprograms/1396/thumbnail.jp

Mixed Chamber Ensembles

Kennesaw State University School of Music presents Mixed Chamber Ensembles, 6:00 p.m. performance.https://digitalcommons.kennesaw.edu/musicprograms/1429/thumbnail.jp

Mixed Chamber Ensembles

KSU School of Music presents Mixed Chamber Ensembles.https://digitalcommons.kennesaw.edu/musicprograms/1312/thumbnail.jp

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy