'Mingling together': promoting the social inclusion of disabled children and young people during the school holidays

The promotion of social inclusion of disabled children and their families is currently high on the UK political agenda. Research shows that disabled children and their families are highly disadvantaged, both economically and socially. This paper reports some of the findings of a qualitative study, entitled On Holiday!, which involved analysing the views of 297 people across six local authority research sites in England including 86 disabled children and young people. The study showed that many disabled children and their families experienced high levels of social isolation and exclusion during out-of-school periods and during the school holidays in particular. The paper recounts some of the experiences of disabled young people and their families and ways in which local authorities can promote their social inclusion. We argue that disabled young people and their families can only be truly socially included and empowered when all levels of the local authority (managers, officers and elected members) recognize the rights and entitlements of disabled children and have the political will and commitment to implement them. © 2009 Blackwell Publishing Ltd

The school lives of children and young people with a spinal cord injury

This research study was carried out by the Thomas Coram Research Unit, Institute of Education, University of London, between January and July 2008.The study was funded by The Back-Up Trust, an organisation working with spinally injured adults and children, as part of their Schools Project. The main purpose of the study was to explore the experiences of children and young people with a SCI in mainstream school. This was to inform The Back-Up Trust’s Schools Project, which has the aim of improving the quality of school provision for children with a spinal cord injury. The study asked young people, parents and carers about their positive and negative experiences. It also aimed to investigate schools’ experiences of working with young people with a SCI and the challenges and factors that help them work effectively with children with a SCI

The Effect of Automated Alerts on Provider Ordering Behavior in an Outpatient Setting

BACKGROUND: Computerized order entry systems have the potential to prevent medication errors and decrease adverse drug events with the use of clinical-decision support systems presenting alerts to providers. Despite the large volume of medications prescribed in the outpatient setting, few studies have assessed the impact of automated alerts on medication errors related to drug–laboratory interactions in an outpatient primary-care setting. METHODS AND FINDINGS: A primary-care clinic in an integrated safety net institution was the setting for the study. In collaboration with commercial information technology vendors, rules were developed to address a set of drug–laboratory interactions. All patients seen in the clinic during the study period were eligible for the intervention. As providers ordered medications on a computer, an alert was displayed if a relevant drug–laboratory interaction existed. Comparisons were made between baseline and postintervention time periods. Provider ordering behavior was monitored focusing on the number of medication orders not completed and the number of rule-associated laboratory test orders initiated after alert display. Adverse drug events were assessed by doing a random sample of chart reviews using the Naranjo scoring scale. The rule processed 16,291 times during the study period on all possible medication orders: 7,017 during the pre-intervention period and 9,274 during the postintervention period. During the postintervention period, an alert was displayed for 11.8% (1,093 out of 9,274) of the times the rule processed, with 5.6% for only “missing laboratory values,” 6.0% for only “abnormal laboratory values,” and 0.2% for both types of alerts. Focusing on 18 high-volume and high-risk medications revealed a significant increase in the percentage of time the provider stopped the ordering process and did not complete the medication order when an alert for an abnormal rule-associated laboratory result was displayed (5.6% vs. 10.9%, p = 0.03, Generalized Estimating Equations test). The provider also increased ordering of the rule-associated laboratory test when an alert was displayed (39% at baseline vs. 51% during post intervention, p < 0.001). There was a non-statistically significant difference towards less “definite” or “probable” adverse drug events defined by Naranjo scoring (10.3% at baseline vs. 4.3% during postintervention, p = 0.23). CONCLUSION: Providers will adhere to alerts and will use this information to improve patient care. Specifically, in response to drug–laboratory interaction alerts, providers will significantly increase the ordering of appropriate laboratory tests. There may be a concomitant change in adverse drug events that would require a larger study to confirm. Implementation of rules technology to prevent medication errors could be an effective tool for reducing medication errors in an outpatient setting

MFA09 (MFA 2009)

Catalogue of a culminating student exhibition held at the Mildred Lane Kemper Art Museum in 2009. Content includes A new paradigm / Carmon Colangelo -- Evolving practices / Patricia Olynyk -- Stephanie Barenz -- Carolyn Dawn Bendel -- Jacob Cruzen -- Rachel Ann Dennis -- Bryan Eaton -- Maya Escobar -- Meredith Foster -- Morgan Gehris -- Gina Grafos -- Stephen Hoskins -- Amelia Jones -- Hye Young Kim -- Anne Lindberg -- Goran Maric -- Kelda Martensen -- Erica L. Millspaugh -- Carianne Noga -- Joel Parker -- Rebecca C. Potts -- Shannon Randol -- Elaine Rickles -- Michael Kenneth Smith -- Dan Solberg -- Natalie Toney -- Glenn Tramantano -- Kathryn Trout -- J. Taylor Wallace.https://openscholarship.wustl.edu/books/1006/thumbnail.jp

Using a computerized provider order entry system to meet the unique prescribing needs of children: description of an advanced dosing model

<p>Abstract</p> <p>Background</p> <p>It is well known that the information requirements necessary to safely treat children with therapeutic medications cannot be met with the same approaches used in adults. Over a 1-year period, Duke University Hospital engaged in the challenging task of enhancing an established computerized provider order entry (CPOE) system to address the unique medication dosing needs of pediatric patients.</p> <p>Methods</p> <p>An advanced dosing model (ADM) was designed to interact with our existing CPOE application to provide decision support enabling complex pediatric dose calculations based on chronological age, gestational age, weight, care area in the hospital, indication, and level of renal impairment. Given that weight is a critical component of medication dosing that may change over time, alerting logic was added to guard against erroneous entry or outdated weight information.</p> <p>Results</p> <p>Pediatric CPOE was deployed in a staggered fashion across 6 care areas over a 14-month period. Safeguards to prevent miskeyed values became important in allowing providers the flexibility to override the ADM logic if desired. Methods to guard against over- and under-dosing were added. The modular nature of our model allows us to easily add new dosing scenarios for specialized populations as the pediatric population and formulary change over time.</p> <p>Conclusions</p> <p>The medical needs of pediatric patients vary greatly from those of adults, and the information systems that support those needs require tailored approaches to design and implementation. When a single CPOE system is used for both adults and pediatrics, safeguards such as redirection and suppression must be used to protect children from inappropriate adult medication dosing content. Unlike other pediatric dosing systems, our model provides active dosing assistance and dosing process management, not just static dosing advice.</p

Predictive Markers of Honey Bee Colony Collapse

Across the Northern hemisphere, managed honey bee colonies, Apis mellifera, are currently affected by abrupt depopulation during winter and many factors are suspected to be involved, either alone or in combination. Parasites and pathogens are considered as principal actors, in particular the ectoparasitic mite Varroa destructor, associated viruses and the microsporidian Nosema ceranae. Here we used long term monitoring of colonies and screening for eleven disease agents and genes involved in bee immunity and physiology to identify predictive markers of honeybee colony losses during winter. The data show that DWV, Nosema ceranae, Varroa destructor and Vitellogenin can be predictive markers for winter colony losses, but their predictive power strongly depends on the season. In particular, the data support that V. destructor is a key player for losses, arguably in line with its specific impact on the health of individual bees and colonies

IL-10 transcription is negatively regulated by BAF180, a component of the SWI/SNF chromatin remodeling enzyme

<p>Abstract</p> <p>Background</p> <p>SWI/SNF chromatin remodeling enzymes play a critical role in the development of T helper lymphocytes, including Th2 cells, and directly program chromatin structure at Th2 cytokine genes. Different versions of SWI/SNF complexes, including BAF and PBAF, have been described based on unique subunit composition. However, the relative role of BAF and PBAF in Th cell function and cytokine expression has not been reported.</p> <p>Results</p> <p>Here we examine the role of the PBAF SWI/SNF complex in Th cell development and gene expression using mice deficient for a PBAF-specific component, BAF180. We find that T cell development in the thymus and lymphoid periphery is largely normal when the BAF180 gene is deleted late in thymic development. However, BAF180-deficient Th2 cells express high levels of the immunoregulatory cytokine IL-10. BAF180 binds directly to regulatory elements in the Il-10 locus but is replaced by BAF250 BAF complexes in the absence of BAF180, resulting in increased histone acetylation and CBP recruitment to the IL-10 locus.</p> <p>Conclusions</p> <p>These results demonstrate that BAF180 is a repressor of IL-10 transcription in Th2 cells and suggest that the differential recruitment of different SWI/SNF subtypes can have direct consequences on chromatin structure and gene transcription.</p

Mother, Monster, Mrs, I:A critical evaluation of gendered naming strategies in English sentencing remarks of women who kill

In this article, we take a novel approach to analysing English sentencing remarks in cases of women who kill. We apply computational, quantitative, and qualitative methods from corpus linguistics to analyse recurrent patterns in a collection of English Crown Court sentencing remarks from 2012 to 2015, where a female defendant was convicted of a homicide offence. We detail the ways in which women who kill are referred to by judges in the sentencing remarks, providing frequency information on pronominal, nominative, and categorising naming strategies. In discussion of the various patterns of preference both across and within these categories (e.g. pronoun vs. nomination, title + surname vs. forename + surname), we remark upon the identities constructed through the references provided. In so doing, we: (1) quantify the extent to which members of the judiciary invoke patriarchal values and gender stereotypes within their sentencing remarks to construct female defendants, and (2) identify particular identities and narratives that emerge within sentencing remarks for women who kill. We find that judges refer to women who kill in a number of ways that systematically create dichotomous narratives of degraded victims or dehumanised monsters. We also identify marked absences in naming strategies, notably: physical identification normally associated with narrativization of women’s experiences; and the first person pronoun, reflecting omissions of women’s own voices and narratives of their lived experiences in the courtroom