An investigation into usability and exclusivity issues of digital programmable thermostats

This is the pre-print version of the Article - Copyright @ 2011 Taylor & FrancisWith nearly 60% of domestic energy consumption relating to space heating, the interaction between users and their heating controls is crucial in reducing consumption. Yet, many heating controls are complex and exclude people due to the demands placed upon their capabilities in terms of vision, reach, dexterity and thinking. This study explores the scale of and reasons for user exclusion in relation to digital programmable thermostats. The Exclusion Calculator was used to estimate the percentage of the population excluded from the use of three products. Full user testing was then conducted to elicit specific usability problems of the devices. The participants were a group of 14 younger users (aged 24–44) and 10 older users (aged 62–75). The exclusion calculations underestimated the actual exclusion significantly for both age ranges (p<0.05). None of the older users were able to complete the programming of the thermostats. Additionally, the cognitive demands of these systems were considered using a subjective workload assessment method, based on the NASA Task Load Index, and were found to be excessive. In conclusion, this study makes recommendations to facilitate the design of more inclusive digital programmable thermostats. It is argued that such changes could result in reductions in domestic heat energy consumption.This work is funded by the ESPRC and Buro Happold

Teachers developing assessment for learning: impact on student achievement

While it is generally acknowledged that increased use of formative assessment (or assessment for learning) leads to higher quality learning, it is often claimed that the pressure in schools to improve the results achieved by students in externally-set tests and examinations precludes its use. This paper reports on the achievement of secondary school students who worked in classrooms where teachers made time to develop formative assessment strategies. A total of 24 teachers (2 science and 2 mathematics teachers, in each of six schools in two LEAs) were supported over a six-month period in exploring and planning their approach to formative assessment, and then, beginning in September 1999, the teachers put these plans into action with selected classes. In order to compute effect sizes, a measure of prior attainment and at least one comparison group was established for each class (typically either an equivalent class taught in the previous year by the same teacher, or a parallel class taught by another teacher). The mean effect size was 0.32

Impact of an educational intervention and clinical performance dashboard on neonatal bloodstream infections

Background. Blood cultures are the most direct method of detecting bacteraemia. Reducing contamination rates improves the specificity and positive predictive value of the blood culture. Clinical performance dashboards have been shown to be powerful tools in improving patient care and outcomes.Objectives. To determine whether prospective surveillance of bloodstream infections (BSIs), introduction of an educational intervention and the use of a clinical performance dashboard could reduce BSIs and blood culture contamination rates in a neonatal nursery.Methods. We compared two time periods, before and after an intervention. Blood culture data were extracted from the local microbiology laboratory database. The educational intervention included the establishment of hand-washing protocols, blood culture techniques and video tools. A clinical performance dashboard was developed to demonstrate the monthly positive blood culture and contamination rates, and this was highlighted and referred to weekly at the unit staff meeting.Results. Before the intervention, 1 460 blood cultures were taken; 206 (14.1%) were positive, of which 104 (7.1% of the total) were contaminants. In the period following the intervention, 1 282 blood cultures were taken; 131 (10.2%) were positive, of which 42 (3.3% of the total) were contaminants. The number of positive blood cultures and contamination rates after the intervention were both statistically significantly reduced (p=0.002 and p&lt;0.001, respectively).Conclusion. This study demonstrates that adopting a relatively simple educational tool, making use of a clinical performance dashboard indicator and benchmarking practice can significantly reduce the level of neonatal sepsis while also reducing contaminated blood cultures

Irradiation of N95 Masks for their Sterilization and Reuse During the COVID19 Pandemic

Research Objective We sought to investigate the feasibility of irradiation for N95 mask sterilization

Out of the Shadows: A Young Woman\u27s Journey from Hiding to Celebrating her Identity

In April 2019 the UK government reported that little progress had been made to remedy social outcomes inequality between Roma and the wider population, recommending further recognition of Roma, for example in census data, to enable identification of Roma, their needs, and how to meet those needs. In this article we present an account of one Roma woman’s journey from hiding her identity to celebrating it. We expose five critical incidents that challenge and mould her sense of identity and career aspiration, with insights into her hopes and dreams as she reflects upon the barriers she faces and attempts to overcome. The narrative enhances understanding of the intersection of experience and ethnic identity formation, Marcella’s (pseudonym) case study emerges verbatim through quotes; we do not alter or correct her English. In our exploration, we follow the six classical steps recommended in case study analysis (Yin, 2009) and ground some of the key analytical concepts in Goffman’s theories of stigma (1963) and theatrical performances in everyday life. We conclude by identifying key parallels in her experience, relevant regardless of socioeconomic status to further debate on the nature of internalised shame, stigma, and class

Are socioenvironmental factors associated with psychotic symptoms in people with first-episode psychosis? A cross-sectional study of a West London clinical sample.

OBJECTIVES: To determine whether neighbourhood-level socioenvironmental factors including deprivation and inequality predict variance in psychotic symptoms after controlling for individual-level demographics. DESIGN: A cross-sectional design was employed. SETTING: Data were originally collected from secondary care services within the UK boroughs of Ealing, Hammersmith and Fulham, Wandsworth, Kingston, Richmond, Merton, Sutton and Hounslow as part of the West London First-Episode Psychosis study. PARTICIPANTS: Complete case analyses were undertaken on 319 participants who met the following inclusion criteria: aged 16 years or over, resident in the study's catchment area, experiencing a first psychotic episode, with fewer than 12 weeks' exposure to antipsychotic medication and sufficient command of English to facilitate assessment. OUTCOME MEASURES: Symptom dimension scores, derived from principal component analyses of the Scale for the Assessment of Positive Symptoms and Scale for the Assessment of Negative Symptoms, were regressed on neighbourhood-level predictors, including population density, income deprivation, income inequality, social fragmentation, social cohesion, ethnic density and ethnic fragmentation, using multilevel regression. While age, gender and socioeconomic status were included as individual-level covariates, data on participant ethnicity were not available. RESULTS: Higher income inequality was associated with lower negative symptom scores (coefficient=-1.66, 95% CI -2.86 to -0.46, p<0.01) and higher levels of ethnic segregation were associated with lower positive symptom scores (coefficient=-2.32, 95% CI -4.17 to -0.48, p=0.01) after adjustment for covariates. CONCLUSIONS: These findings provide further evidence that particular characteristics of the environment may be linked to specific symptom clusters in psychosis. Longitudinal studies are required to begin to tease apart the underlying mechanisms involved as well as the causal direction of such associations

The component structure of the scales for the assessment of positive and negative symptoms in first-episode psychosis and its dependence on variations in analytic methods.

A secondary analysis was undertaken on Scales for the Assessment of Positive and Negative Symptoms (SAPS/SANS) data from 345 first-episode psychosis (FEP) patients gathered in the West London FEP study. The purpose of this study was to determine: (i) the component structure of these measures in FEP (primary analyses), and (ii) the dependence of any findings in these primary analyses on variations in analytic methods. Symptom ratings were exposed to data reduction methods and the effects of the following manipulations ascertained: (i) level of analysis (individual symptom vs. global symptom severity ratings), (ii) extraction method (principal component vs. exploratory factor analysis) and (iii) retention method (scree test vs. Kaiser criterion). Whilst global ratings level analysis rendered the classic triad of psychotic syndromes (positive, negative and disorganisation), symptom level analyses revealed a hierarchical structure, with 11 first-order components subsumed by three second-order components, which also mapped on to this syndrome triad. These results were robust across data reduction but not component retention methods, suggesting that discrepancies in the literature regarding the component structure of the SAPS/SANS partly reflect the level of analysis and component retention method used. Further, they support a hierarchical symptom model, the implications of which are discussed

Avoid, Delay, Shorten. Results of Radiation Oncology’s COVID19 Patient Exposure Risk Mitigation Guidelines

We implemented evidence-based COVID19 guidelines on 3/16/20 to minimize patient exposure risks by avoiding, delaying, and shortening patient treatments when possible. We analyzed the effectiveness of our COVID guidelines by comparing the number of new patient starts and number of treatments before and after implementation. Our department successfully decreased patient exposure risk by reducing new prescription starts, rates of longer treatment courses, and overall number of treatment encounters in an evidence-based approach

Execution of the SimSET Monte Carlo PET/SPECT Simulator in the Condor Distributed Computing Environment

SimSET is a package for simulation of emission tomography data sets. Condor is a popular distributed computing environment. Simple C/C++ applications and shell scripts are presented which allow the execution of SimSET on the Condor environment. This is accomplished without any modification to SimSET by executing multiple instances and using its combinebin utility. This enables research facilities without dedicated parallel computing systems to utilize the idle cycles of desktop workstations to greatly reduce the run times of their SimSET simulations. The necessary steps to implement this approach in other environments are presented along with sample results