Autostrata: Improved Automatic Stratification for Coarsened Exact Matching

We commonly adjust for confounding factors in analytical observational epidemiologyto reduce biases that distort the results. Stratification and matching are standard methods for reducing confounder bias. Coarsened exact matching (CEM) is a recent method using stratification to coarsen variables into categorical variables to enable exact matching of exposed and nonexposed subjects. CEM’s standard approach to stratifying variables is histogram binning. However, histogram binning creates strata of uniformwidths and does not distinguish between exposed and nonexposed. We present Autostrata, a novel algorithmic approach to stratification producing improved results in CEM and providing more control to the researcher

Stabilization of the perovskite phase in the Y-Bi-O system by using a BaBiO3_{3} buffer layer

A topological insulating phase has theoretically been predicted for the thermodynamically unstable perovskite phase of YBiO$_{3}$. Here, it is shown that the crystal structure of the Y-Bi-O system can be controlled by using a BaBiO$_{3}$ buffer layer. The BaBiO$_{3}$ film overcomes the large lattice mismatch of 12% with the SrTiO$_{3}$ substrate by forming a rocksalt structure in between the two perovskite structures. Depositing an YBiO$_{3}$ film directly on a SrTiO$_{3}$ substrate gives a fluorite structure. However, when the Y-Bi-O system is deposited on top of the buffer layer with the correct crystal phase and comparable lattice constant, a single oriented perovskite structure with the expected lattice constants is observed.Comment: 8 pages, 7 figures + 4 pages supporting informatio

Safe and unsafe spaces? Using drawings and photos to explore children's sense of safety in domestic violence

Objectives: Dominant professional and academic discourses position children who have experienced domestic violence as passive observers of abuse, ‘wounded’ by the things they have seen (Øverlien 2013). Challenging this representation of children, this paper explores how children represent embodied and spatial experience of violence, including a consideration of how children use their material experiences to produce resistant embodied agency. Method This paper is based on interviews with 107 children, in 4 European countries (Italy, Greece, Spain and the UK), focused on their experiences of coping and of maintaining a sense of agency, in families where domestic violence occurs. These interviews included use of photo-elicitation, free drawing, and guided drawing - including family drawing and spatial mapping (Bridger, 2013; Gabb and Singh, 2014), to facilitate young people’s expression of difficult to articulate experiences. The interviews were analysed using Denzin’s Interpretive Interactionism. Results: Visual methods facilitated children’s critical reflections on their experiences of embodiment, and how they used spaces and places within and outside the violent home environment. Three themes are considered: children’s experiences of displacement and disruption (the un-homing of the home), their accounts of creating safe spaces within their home, and use of space as a form of escape and resistance to abuse and control. Conclusions and Implications Findings suggest that children are capable and active agents, resourceful and inventive in their capacity to use, produce and construct physical, embodied and relational spaces for security, comfort and healing during and after living within violent and volatile contexts. The practical applications of these findings are considered

Data quality predicts care quality: findings from a national clinical audit

Background: Missing clinical outcome data are a common occurrence in longitudinal studies. Data quality in clinical audit is a particular cause for concern. The relationship between departmental levels of missing clinical outcome data and care quality is not known. We hypothesise that completeness of key outcome data in a national audit predicts departmental performance. Methods: The National Clinical Audit for Rheumatoid and Early Inflammatory Arthritis (NCAREIA) collected data on care of patients with suspected rheumatoid arthritis (RA) from early 2014 to late 2015. This observational cohort study collected data on patient demographics, departmental variables, service quality measures including time to treatment, and the key RA clinical outcome measure, disease activity at baseline, and 3 months follow-up. A mixed effects model was conducted to identify departments with high/low proportions of missing baseline disease activity data with the results plotted on a caterpillar graph. A mixed effects model was conducted to assess if missing baseline disease activity predicted prompt treatment. Results: Six thousand two hundred five patients with complete treatment time data and a diagnosis of RA were recruited from 136 departments. 34.3% had missing disease activity at baseline. Mixed effects modelling identified 13 departments with high levels of missing disease activity, with a cluster observed in the Northwest of England. Missing baseline disease activity was associated with not commencing treatment promptly in an adjusted mix effects model, odds ratio 0.50 (95% CI 0.41 to 0.61, p < 0.0001). Conclusions: We have shown that poor engagement in a national audit program correlates with the quality of care provided. Our findings support the use of data completeness as an additional service quality indicator