Visualising the number of people who cannot perform tasks related to product interactions

Understanding the number of people who cannot perform particular tasks helps to inform design decisions for mainstream products, such as the appropriate size and contrast of visual features. Making such informed decisions requires a dataset that is representative at the level of a national population, with sufficient scope and granularity to cover the types of actions associated with product use. Furthermore, visualisations are needed to bring the dataset to life, in order to better support comparing the number of people who cannot perform different tasks. The 1996/97 Disability Follow-up Survey remains the most recent Great British dataset to cover all types of ability losses that may be relevant to using everyday products. This paper presents new visualisations derived from this dataset, which are related to vision, hearing, cognition, mobility, dexterity and reach. Compared to previous publications on this dataset, the new visualisations contain task descriptions that have been simplified, described pictorially and separated out into different categories. Furthermore, two-dimensional visualisations are used to present exclusion results for products that require vision and/or hearing and for tasks that require each hand to do different things. In order to produce these new visualisations, the publicly available version of this dataset had to be reanalysed and recoded, which is described here-in detail.This is the author accepted manuscript. The final version is available from Springer via http://dx.doi.org/10.1007/s10209-013-0297-

From the Ground Up: A Group Editorial on the Most Pressing Issues in Scholarly Communication

A group editorial from the Editorial Board of the Journal of Librarianship and Scholarly Communication

Differences in vision performance in different scenarios and implications for design.

To design accessibly, designers need good, relevant population data on visual abilities. However, currently available data often focuses on clinical vision measures that are not entirely relevant to everyday product use. This paper presents data from a pilot survey of 362 participants in the UK, covering a range of vision measures of particular relevance to product design. The results from the different measures are compared, and recommendations are given for relative text sizes to use in different situations. The results indicate that text needs to be 17-18% larger for comfortable rather than perceived threshold viewing, and a further 20% larger when users are expected to wear their everyday vision setup rather than specific reading aids.The survey was funded by the Engineering and Physical Sciences Research Council (EPSRC) through the i~design 3 grant (Award Number: RG45089). The survey itself was conducted by the National Centre for Social Research under the direction of the research team. As well as the authors of this paper, several others made substantial contributions to the design and analysis of this survey, including Felicia Huppert, Pat Langdon, Kai Ruggeri, Eddy Elton, Jose Liht and John Ryan. Further analysis was funded by EPSRC through the KT-EQUAL project (grant number EP/G030898/2).This is the final version of the article. It first appeared from Elsevier via http://dx.doi.org/10.1016/j.apergo.2016.02.00

Estimating exclusion: a tool to help designers

An exclusion audit assesses how inclusive a product or service is. This is useful for comparing designs and identifying points for improvement. In an exclusion audit, the designer or usability expert identifies the demands a product places on the user‟s capabilities and enters these into an exclusion calculator. This software then estimates the proportion of the adult British population who would be excluded from using the product because their capabilities do not meet these demands. This paper describes research on improving the exclusion calculator based on a recent reanalysis of the calculator‟s underlying dataset. This enabled the capabilities to be broken down into more specific sub-categories or “demand types”. An experiment investigated the use of these demand types in the context of an exclusion audit. It found that participants could determine the demand type of an action consistently, in the majority of cases. This approach was adopted in a redesign of the calculator, described in this paper

Creatinine clearance versus serum creatinine as a risk factor in cardiac surgery

BACKGROUND: Renal impairment is one of the predictors of mortality in cardiac surgery. Usually a binarized value of serum creatinine is used to assess the renal function in risk models. Creatinine clearance can be easily estimated by the Cockcroft and Gault equation from serum creatinine, gender, age and body weight. In this work we examine whether this estimation of the glomerular filtration rate can advantageously replace the serum creatinine in the EuroSCORE preoperative risk assessment. METHODS: In a group of 8138 patients out of a total of 11878 patients, who underwent cardiac surgery in our hospital between January 1996 and July 2002, the 18 standard EuroSCORE parameters could retrospectively be determined and logistic regression analysis performed. In all patients scored, creatinine clearance was calculated according to Cockcroft and Gault. The relationship between the predicted and observed 30-days mortality was evaluated in systematically selected intervals of creatinine clearance and significance values computed by employing Monte Carlo methods. Afterwards, risk scoring was performed using a continuous or a categorical value of creatinine clearance instead of serum creatinine. The predictive ability of several risk score models and the individual contribution of their predictor variables were studied using ROC curve analysis. RESULTS: The comparison between the expected and observed 30-days mortalities, which were determined in different intervals of creatinine clearance, revealed the best threshold value of 55 ml/min. A significantly higher 30-days mortality was observed below this threshold and vice versa (both with p < 0.001). The local adaptation of the EuroSCORE is better than the standard EuroSCORE and was further improved by replacing serum creatinine (SC) by creatinine clearance (CC). Differential ROC analysis revealed that CC is superior to SC in providing predictive power within the logistic regression. Variable rank comparison identified CC as the best single variable predictor, even better than the variable age, former number 1, and SC, previously number 9 in the standard set of EuroSCORE variables. CONCLUSION: The renal function is an important determinant of mortality in heart surgery. This risk factor is not well captured in the standard EuroSCORE risk evaluation system. Our study shows that creatinine clearance, calculated according to the Cockcroft and Gault equation, should be applied to estimate the preoperative renal function instead of serum creatinine. This predictor variable replacement gains a significant improvement in the predictive accuracy of the scoring model

Codesigning a systemic discharge intervention for inpatient mental health settings (MINDS): a protocol for integrating realist evaluation and an engineering-based systems approach

© 2023 The Author(s). Published by BMJ. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/Introduction: Transition following discharge from mental health hospital is high risk in terms of relapse, readmission and suicide. Discharge planning supports transition and reduces risk. It is a complex activity involving interacting systemic elements. The codesigning a systemic discharge intervention for inpatient mental health settings (MINDS) study aims to improve the process for people being discharged, their carers/supporters and staff who work in mental health services, by understanding, co-designing and evaluating implementation of a systemic approach to discharge planning. Methods and analysis: The MINDS study integrates realist research and an engineering-informed systems approach across three stages. Stage 1 applies realist review and evaluation using a systems approach to develop programme theories of discharge planning. Stage 2 uses an Engineering Better Care framework to codesign a novel systemic discharge intervention, which will be subjected to process and economic evaluation in stage 3. The programme theories and resulting care planning approach will be refined throughout the study ready for a future clinical trial. MINDS is co-led by an expert by experience, with researchers with lived experience co-leading each stage. Ethics and dissemination: MINDS stage 1 has received ethical approval from Yorkshire & The Humber—Bradford Leeds (Research Ethics Committee (22/YH/0122). Findings from MINDS will be disseminated via high-impact journal publications and conference presentations, including those with service user and mental health professional audiences. We will establish routes to engage with public and service user communities and National Health Service professionals including blogs, podcasts and short videos. Trial registration number: MINDS is funded by the National Institute of Health Research (NIHR 133013) https://fundingawards.nihr.ac.uk/award/NIHR133013. The realist review protocol is registered on PROSPERO. PROSPERO registration number: CRD42021293255.Peer reviewe

Oceans across the solar system and the search for extraoceanic life: technologies for remote sensing and in situ exploration

Earth’s ocean comprises 99% of the habitable volume of our planet and contains the largest biomass and species diversity in the known universe. Perhaps unsurprisingly, recent advances in the search for life elsewhere in our solar system have increasingly pointed to potentially viable niches for life on other dynamic ocean worlds such as Titan, Europa, and Enceladus, among other moons of the outer gas giants. Indeed, the discovery of extraterrestrial life on these icy water bodies may motivate adopting an altogether new terminology and further non-anthropic perspective on the cosmos. Extraoceanic life, to coin a term, may well prove to be a designation more representative of the abundance and diversity of life in space. Exploration of such ocean worlds across the solar system will undoubtedly be enabled by technological developments in a range of sensing methodologies primarily developed for oceanography on Earth. As we have learned studying our home ocean, where less than 10% of the benthic surface has been optically imaged, the challenge is daunting, yet recent advances give hope. Here, we review some of the state-of-the-art techniques from oceanography and planetary science that may inform sensing of the biological and geophysical properties of ocean worlds, ranging from large-scale synoptic views afforded by active and passive remote sensing to in situ autonomous sampling and methods for detecting biosignatures

GHOST Commissioning Science Results II: a very metal-poor star witnessing the early Galactic assembly

This study focuses on Pristine$\_180956.78$$-$$294759.8$ (hereafter P180956, [Fe/H] $=-1.95\pm0.02$), a star selected from the Pristine Inner Galaxy Survey (PIGS), and followed-up with the recently commissioned Gemini High-resolution Optical SpecTrograph (GHOST) at the Gemini South telescope. The GHOST spectrograph's high efficiency in the blue spectral region ($3700-4800$~\AA) enables the detection of elemental tracers of early supernovae (e.g. Al, Mn, Sr, Eu), which were not accessible in the previous analysis of P180956. The star exhibits chemical signatures resembling those found in ultra-faint dwarf systems, characterised by very low abundances of neutron-capture elements (Sr, Ba, Eu), which are uncommon among stars of comparable metallicity in the Milky Way. Our analysis suggests that P180956 bears the chemical imprints of a small number (2 or 4) of low-mass hypernovae (\sim10-15\msun), which are needed to reproduce the abundance pattern of the light-elements (e.g. [Si, Ti/Mg, Ca] $\sim0.6$), and one fast-rotating intermediate-mass supernova (\sim300\kms, \sim80-120\msun). Both types of supernovae explain the high [Sr/Ba] of P180956 ($\sim1.2$). The small pericentric (\sim0.7\kpc) and apocentric (\sim13\kpc) distances and its orbit confined to the plane (\lesssim 2\kpc), indicate that this star was likely accreted during the early Galactic assembly phase. Its chemo-dynamical properties suggest that P180956 formed in a system similar to an ultra-faint dwarf galaxy accreted either alone, as one of the low-mass building blocks of the proto-Galaxy, or as a satellite of Gaia-Sausage-Enceladus. The combination of Gemini's large aperture with GHOST's high efficiency and broad spectral coverage makes this new spectrograph one of the leading instruments for near-field cosmology investigations.Comment: Submitted to MNRAS. 8 figures, 15page