Effectiveness of mobile-phone short message service (SMS) reminders for ophthalmology outpatient appointments: Observational study

Abstract Background Non-attendance for hospital outpatient appointments is a significant problem in many countries. It causes suboptimal use of clinical and administrative staff and financial losses, as well as longer waiting times. The use of Short Message Service (SMS) appointment reminders potentially offers a cost-effective and time-efficient strategy to decrease non-attendance and so improve the efficiency of outpatient healthcare delivery. Methods An SMS text message was sent to patients with scheduled appointments between April and September 2006 in a hospital ophthalmology department in London, reminding them of their appointments. This group acted as the intervention group. Controls were patients with scheduled ophthalmology appointments who did not receive an SMS or any alternative reminder. Results During the period of the study, 11.2% (50/447) of patients who received an SMS appointment reminder were non-attenders, compared to 18.1% (1720/9512) who did not receive an SMS reminder. Non-attendance rates were 38% lower in patients who received an SMS reminder than in patients who did not receive a reminder (RR of non-attendance = 0.62; 95% CI = 0.48 – 0.80). Conclusion The use of SMS reminders for ophthalmology outpatient appointments was associated with a reduction of 38% in the likelihood of patients not attending their appointments, compared to no appointment reminder. The use of SMS reminders may also be more cost-effective than traditional appointment reminders and require less labour. These findings should be confirmed with a more rigorous study design before a wider roll-out.</p

BNN27, a 17-Spiroepoxy Steroid Derivative, Interacts With and Activates p75 Neurotrophin Receptor, Rescuing Cerebellar Granule Neurons from Apoptosis

Neurotrophin receptors mediate a plethora of signals affecting neuronal survival. The p75 pan-neurotrophin receptor controls neuronal cell fate after its selective activation by immature and mature isoforms of all neurotrophins. It also exerts pleiotropic effects interacting with a variety of ligands in different neuronal or non-neuronal cells. In the present study, we explored the biophysical and functional interactions of a bloodbrain-barrier (BBB) permeable, C17-spiroepoxy steroid derivative, BNN27, with p75NTR receptor. BNN27 was recently shown to bind to NGF high-affinity receptor, TrkA. We now tested the p75NTR-mediated effects of BNN27 in mouse Cerebellar Granule Neurons (CGNs), expressing p75NTR, but not TrkA receptors. Our findings show that BNN27 physically interacts with p75NTR receptors in specific amino-residues of its extracellular domain, inducing the recruitment of p75NTR receptor to its effector protein RIP2 and the simultaneous release of RhoGDI in primary neuronal cells. Activation of the p75NTR receptor by BNN27 reverses serum deprivation-induced apoptosis of CGNs resulting in the decrease of the phosphorylation of pro-apoptotic JNK kinase and of the cleavage of Caspase-3, effects completely abolished in CGNs, isolated from p75NTR null mice. In conclusion, BNN27 represents a lead molecule for the development of novel p75NTR ligands, controlling specific p75NTR-mediated signaling of neuronal cell fate, with potential applications in therapeutics of neurodegenerative diseases and brain traum

Heterogeneous sensor database in support of human behaviour analysis in unrestricted environments: The audio part

In the present paper we report on a recent effort that resulted in the establishment of a unique multimodal database, referred to as the PROMETHEUS database This database was created in support of research and development activities, performed within the European Commission FP7 PROMETHEUS project, aiming at the creation of a framework for monitoring and interpretation of human behaviours in unrestricted indoors and outdoors environments. In the present paper we discuss the design and the implementation of the audio part of the database and offer statistical information about the audio content. Specifically it contains single-person and multi-person scenarios, but also covers scenarios with interactions between groups of people The database design was conceived with extended support of research and development activities devoted to detection of typical and atypical events, emergency and crisis situations, which assist for achieving situational awareness and more reliable interpretation of the context in which humans behave. The PROMETHEUS database allows for embracing a wide range of real-world applications, including smart-home and human-robot interaction interfaces, indoors/outdoors public areas surveillance, airport terminas or city park supervision, etc. A major portion of the PROMETHEUS database will be made publically available by the end of year 2010

A practical, real-time speech-driven home automation front-end

This work presents an integrated system that uses speech as a natural input modality to provide user-friendly access to information and entertainment devices installed in a real home environment. The practical limitations introduced by the on-line nature of the application as well as the implementation challenges and solutions are analyzed. The focus of the present study is on the implementation on the front-end signal pre-processing block that consist of an array of 8 microphones connected to a multi-channel soundcard and a tandem of workstations performing all signal pre-processing tasks, such as, acquisition, filtering, and beamforming. Evaluation of the beamformer&apos;s performance in realistic home environment with controllable noise sources is provided. Furthermore, speech and speaker recognition results using the front-end that was deployed are presented. © 2005 IEEE

Audio database in support of potential threat and crisis situation management

This paper describes a corpus consisting of audio data for automatic space monitoring based solely on the perceived acoustic information. The particular database is created as part of a project aiming at the detection of abnormal events, which lead to life-threatening situations or property damage. The audio corpus is composed of vocal reactions and environmental sounds that are usually encountered in atypical situations. The audio data is composed of three parts: Phase I - professional sound effects collections, Phase II recordings obtained from action and drama movies and Phase III - vocal reactions related to real-world emergency events as retrieved from television, radio broadcast news, documentaries etc. The annotation methodology is given in details along with preliminary classification results and statistical analysis of the dataset regarding Phase I. The main objective of such a dataset is to provide training data for automatic recognition machines that detect hazardous situations and to provide security enhancement in public environments, which otherwise require human supervision