Student help seeking from pastoral care in UK high schools: a qualitative study

Background Little is known about high school students' perceptions of school-based pastoral support. This study aimed to explore this in the context of a high school–based emotional support project. Methods Qualitative interviews explored perspectives on help seeking of students (N = 23) and staff (N = 27) in three UK high schools where a pastoral project was introduced. Data were analysed thematically. Results Student peer groups perceived help seeking as a sign of weakness. However, students valued learning skills in managing emotions and friendships. Staff expressed concerns about students' ability to help seek proactively, and highlighted organisational influences on pastoral support. Conclusions Increasing student control over the process, and involving trusted staff, could encourage help seeking in high school. It is possible to access the views of students who do not help seek, to improve understanding of help-seeking behaviour

Exploring the impact of group work and mentoring for multiple heritage children's self-esteem, well-being and behaviour

Findings are reported from a study of an innovative Multiple Heritage Service in Sheffield (UK) which provides, inter alia, individual mentoring for young people and school-based group sessions on cultural heritage, dealing with racism and enhancing well-being. Groupwork, undertaken between November 2005 and December 2006, was evaluated by a before/after design with 43 children aged from eight to fifteen attending five different groups (response rate 77 per cent), using three well-established and validated measures. There were improvements on the Rosenberg Self-esteem Scale from 31.415 to 33.024 (p =0.005) with more improvement among younger children and boys (p=0.004 and p=0.001); and well-being as measured by the GHQ12 improved from 1.460 to 0.8378 (p=0.111) with more improvement among older children (p=0.026). On the third measure, of problem behaviour (the Strengths and Difficulties Questionnaire) there was an improvement from 12.4 to 12.1 (p=0.716) but there was no improvement at all for girls. Mentoring was evaluated by telephone interviews between June and October 2006 with 14 mothers whose children had just completed, or were nearing completion of, mentoring (response rate 70 per cent). Overall the mothers’ evaluations were highly positive: two-thirds commended the service on the positive impact on their children’s well-being and happiness (including all the mothers of daughters); a half reported positive impacts on identity; mothers commended the positive role model effect same-sex mentors had on their children’s behaviour; but only a third said mentoring had boosted their children’s self-esteem

Risks and Benefits of Preexposure and Postexposure Smallpox Vaccination1

This article presents a model and decision criteria for evaluating a person’s risk of pre- or postexposure smallpox vaccination in light of serious vaccine-related adverse events (death, postvaccine encephalitis and progressive vaccinia). Even at a 1-in-10 risk of 1,000 initial smallpox cases, a person in a population of 280 million has a greater risk for serious vaccine-related adverse events than a risk for smallpox. For a healthcare worker to accept preexposure vaccination, the risk for contact with an infectious smallpox case-patient must be >1 in 100, and the probability of 1,000 initial cases must be >1 in 1,000. A member of an investigation team would accept preexposure vaccination if his or her anticipated risk of contact is 1 in 2.5 and the risk of attack is assumed to be >1 in 16,000. The only circumstances in which postexposure vaccination would not be accepted are the following: if vaccine efficacy were <1%, the risk of transmission were <1%, and (simultaneously) the risk for serious vaccine-related adverse events were >1 in 5,000

Harm-reduction approaches for self-cutting in inpatient mental health settings:development and preliminary validation of the Attitudes to Self-cutting Management (ASc-Me) Scale

IntroductionHarm-reduction approaches for self-harm in mental health settings have been under-researched.AimTo develop a measure of the acceptability of management approaches for self-cutting in mental health inpatient settings.MethodsStage one: scale items were generated from relevant literature and staff/service user consultation. Stage two: A cross-sectional survey and statistical methods from classical test theory informed scale development.Results/FindingsAt stage one N=27 staff and service users participated. At stage two N=215 people (n=175 current mental health practitioners and n=40 people with experience of self-cutting as a UK mental health inpatient) completed surveys. Principal components analysis revealed a simple factor structure such that each method had a unique acceptability profile. Reliability, construct validity, and internal consistency were acceptable. The harm-reduction approaches 'advising on wound-care' and 'providing a first aid kit' were broadly endorsed; 'providing sterile razors' and 'maintaining a supportive nursing presence during cutting' were less acceptable but more so than seclusion and restraint.DiscussionThe Attitudes to Self-cutting Management scale is a reliable and valid measure that could inform service design and development.Implications for practiceNurses should discuss different options for management of self-cutting with service users. Harm reduction approaches may be more acceptable than coercive measures. This article is protected by copyright. All rights reserved.</p

Traffic-Related Air Pollution and All-Cause Mortality during Tuberculosis Treatment in California.

BackgroundAmbient air pollution and tuberculosis (TB) have an impact on public health worldwide, yet associations between the two remain uncertain.ObjectiveWe determined the impact of residential traffic on mortality during treatment of active TB.MethodsFrom 2000-2012, we enrolled 32,875 patients in California with active TB and followed them throughout treatment. We obtained patient data from the California Tuberculosis Registry and calculated traffic volumes and traffic densities in 100- to 400-m radius buffers around residential addresses. We used Cox models to determine mortality hazard ratios, controlling for demographic, socioeconomic, and clinical potential confounders. We categorized traffic exposures as quintiles and determined trends using Wald tests.ResultsParticipants contributed 22,576 person-years at risk. There were 2,305 deaths during treatment for a crude mortality rate of 1,021 deaths per 10,000 person-years. Traffic volumes and traffic densities in all buffers around patient residences were associated with increased mortality during TB treatment, although the findings were not statistically significant in all buffers. As the buffer size decreased, fifth-quintile mortality hazards increased, and trends across quintiles of traffic exposure became more statistically significant. Increasing quintiles of nearest-road traffic volumes in the 100-m buffer were associated with 3%, 14%, 19%, and 28% increased risk of death during TB treatment [first quintile, referent; second quintile hazard ratio (HR)=1.03 [95% confidence interval (CI): 0.86, 1.25]; third quintile HR=1.14 (95% CI: 0.95, 1.37); fourth quintile HR=1.19 (95% CI: 0.99, 1.43); fifth quintile HR=1.28 (95% CI: 1.07, 1.53), respectively; p-trend=0.002].ConclusionsResidential proximity to road traffic volumes and traffic density were associated with increased all-cause mortality in patients undergoing treatment for active tuberculosis even after adjusting for multiple demographic, socioeconomic, and clinical factors, suggesting that TB patients are susceptible to the adverse health effects of traffic-related air pollution. https://doi.org/10.1289/EHP1699

Calculating partial expected value of perfect information via Monte Carlo sampling algorithms

Partial expected value of perfect information (EVPI) calculations can quantify the value of learning about particular subsets of uncertain parameters in decision models. Published case studies have used different computational approaches. This article examines the computation of partial EVPI estimates via Monte Carlo sampling algorithms. The mathematical definition shows 2 nested expectations, which must be evaluated separately because of the need to compute a maximum between them. A generalized Monte Carlo sampling algorithm uses nested simulation with an outer loop to sample parameters of interest and, conditional upon these, an inner loop to sample remaining uncertain parameters. Alternative computation methods and shortcut algorithms are discussed and mathematical conditions for their use considered. Maxima of Monte Carlo estimates of expectations are biased upward, and the authors show that the use of small samples results in biased EVPI estimates. Three case studies illustrate 1) the bias due to maximization and also the inaccuracy of shortcut algorithms 2) when correlated variables are present and 3) when there is nonlinearity in net benefit functions. If relatively small correlation or nonlinearity is present, then the shortcut algorithm can be substantially inaccurate. Empirical investigation of the numbers of Monte Carlo samples suggests that fewer samples on the outer level and more on the inner level could be efficient and that relatively small numbers of samples can sometimes be used. Several remaining areas for methodological development are set out. A wider application of partial EVPI is recommended both for greater understanding of decision uncertainty and for analyzing research priorities

Prevalence of childhood disability and the characteristics and circumstances of disabled children in the UK : secondary analysis of the Family Resources Survey

Background: Robust data on the prevalence of childhood disability and the circumstances and characteristics of disabled children is crucial to understanding the relationship between impairment and social disadvantage. It is also crucial for public policy development aimed at reducing the prevalence of childhood disability and providing appropriate and timely service provision. This paper reports prevalence rates for childhood disability in the United Kingdom (UK) and describes the social and household circumstances of disabled children, comparing these where appropriate to those of non-disabled children. Methods: Data were generated from secondary analysis of the Family Resources Survey, a national UK cross-sectional survey, (2004/5) which had data on 16,012 children aged 0-18 years. Children were defined as disabled if they met the Disability Discrimination Act (DDA) definition (1995 and 2005). Frequency distributions and cross-tabulations were run to establish prevalence estimates, and describe the circumstances of disabled children. To establish the association between individual social and material factors and childhood disability when other factors were controlled for, logistic regression models were fitted on the dependent variable 'DDA defined disability'. Results: 7.3% (CI 6.9, 7.7) of UK children were reported by as disabled according to the DDA definition. Patterns of disability differed between sexes with boys having a higher rate overall and more likely than girls to experience difficulties with physical coordination; memory, concentration and learning; communication. Disabled children lived in different personal situations from their non-disabled counterparts, and were more likely to live with low-income, deprivation, debt and poor housing. This was particularly the case for disabled children from black/minority ethnic/ mixed parentage groups and lone-parent households. Childhood disability was associated with lone parenthood and parental disability and these associations persisted when social disadvantage was controlled for. Conclusion: These analyses suggest that UK disabled children experience higher levels of poverty and personal and social disadvantage than other children. Further research is required to establish accurate prevalence estimates of childhood disability among different black and minority ethnic groups and to understand the associations between childhood disability and lone parenthood and the higher rates of sibling and parental disability in households with disabled children

Optimizing Treatment of Antimicrobial-resistant Neisseria gonorrhoeae

Optimal point to switch to more expensive drug depends on prevalence of drug resistance an

Economic Impact of Lyme Disease

Since 1975, Lyme disease has become the most common vectorborne inflammatory disease in the United States

Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009

Through July 2009, a total of 43,677 laboratory-confirmed cases of influenza A pandemic (H1N1) 2009 were reported in the United States, which is likely a substantial underestimate of the true number. Correcting for under-ascertainment using a multiplier model, we estimate that 1.8 million–5.7 million cases occurred, including 9,000–21,000 hospitalizations