Motivation: Biclustering of transcriptomic data groups genes and samples simultaneously. It is emerging as a standard tool for extracting knowledge from gene expression measurements. We propose a novel generative approach for biclustering called ‘FABIA: Factor Analysis for Bicluster Acquisition’. FABIA is based on a multiplicative model, which accounts for linear dependencies between gene expression and conditions, and also captures heavy-tailed distributions as observed in real-world transcriptomic data. The generative framework allows to utilize well-founded model selection methods and to apply Bayesian techniques.Results: On 100 simulated datasets with known true, artificially implanted biclusters, FABIA clearly outperformed all 11 competitors. On these datasets, FABIA was able to separate spurious biclusters from true biclusters by ranking biclusters according to their information content. FABIA was tested on three microarray datasets with known subclusters, where it was two times the best and once the second best method among the compared biclustering approaches.Availability: FABIA is available as an R package on Bioconductor (http://www.bioconductor.org). All datasets, results and software are available at http://www.bioinf.jku.at/software/fabia/fabia.htmlContact: hochreit@bioinf.jku.atSupplementary information: Supplementary data are available at Bioinformatics online.

ObjectivesTo systematically review the effectiveness of community pharmacy-delivered interventions for alcohol reduction, smoking cessation and weight management.DesignSystematic review and meta-analyses. 10 electronic databases were searched from inception to May 2014.Eligibility criteria for selecting studiesStudy design: randomised and non-randomised controlled trials; controlled before/after studies, interrupted times series. Intervention: any relevant intervention set in a community pharmacy, delivered by the pharmacy team. No restrictions on duration, country, age, or language.Results19 studies were included: 2 alcohol reduction, 12 smoking cessation and 5 weight management. Study quality rating: 6 ‘strong’, 4 ‘moderate’ and 9 ‘weak’. 8 studies were conducted in the UK, 4 in the USA, 2 in Australia, 1 each in 5 other countries. Evidence from 2 alcohol-reduction interventions was limited. Behavioural support and/or nicotine replacement therapy are effective and cost-effective for smoking cessation: pooled OR was 2.56 (95% CI 1.45 to 4.53) for active intervention vs usual care. Pharmacy-based interventions produced similar weight loss compared with active interventions in other primary care settings; however, weight loss was not sustained longer term in a range of primary care and commercial settings compared with control. Pharmacy-based weight management interventions have similar provider costs to those delivered in other primary care settings, which are greater than those delivered by commercial organisations. Very few studies explored if and how sociodemographic or socioeconomic variables moderated intervention effects. Insufficient information was available to examine relationships between effectiveness and behaviour change strategies, implementation factors, or organisation and delivery of interventions.ConclusionsCommunity pharmacy-delivered interventions are effective for smoking cessation, and demonstrate that the pharmacy is a feasible option for weight management interventions. Given the potential reach, effectiveness and associated costs of these interventions, commissioners should consider using community pharmacies to help deliver public health services.

ObjectivesTo: (1) determine the percentage of the population in England that have access to a community pharmacy within 20 min walk; (2) explore any relationship between the walking distance and urbanity; (3) explore any relationship between the walking distance and social deprivation; and (4) explore any interactions between urbanity, social deprivation and community pharmacy access.DesignThis area level analysis spatial study used postcodes for all community pharmacies in England. Each postcode was assigned to a population lookup table and lower super output area (LSOA). The LSOA was then matched to urbanity (urban, town and fringe or village, hamlet and isolated dwellings) and deprivation decile (using the Index of Multiple Deprivation score).Primary outcome measureAccess to a community pharmacy within 20 min walk.ResultsOverall, 89.2% of the population is estimated to have access to a community pharmacy within 20 min walk. For urban areas, that is 98.3% of the population, for town and fringe, 79.9% of the population, while for rural areas, 18.9% of the population. For areas of lowest deprivation (deprivation decile 1) 90.2% of the population have access to a community pharmacy within 20 min walk, compared to 99.8% in areas of highest deprivation (deprivation decile 10), a percentage difference of 9.6% (8.2, 10.9).ConclusionsOur study shows that the majority of the population can access a community pharmacy within 20 min walk and crucially, access is greater in areas of highest deprivation—a positive pharmacy care law. More research is needed to explore the perceptions and experiences of people—from various levels of deprivation—around the accessibility of community pharmacy services.

BackgroundTackling childhood obesity is one of the major contemporary public health policy challenges and vital in terms of addressing socioeconomic health inequalities.We aimed to systematically review studies of the effectiveness of interventions (individual, community and societal) operating via different approaches (targeted or universal) in reducing socio-economic inequalities in obesity-related outcomes amongst children.MethodsNine electronic databases were searched from start date to October 2012 along with website and grey literature searches. The review examined the best available international evidence from interventions that aimed to prevent obesity, treat obesity, or improve obesity-related behaviours (diet and/or physical activity) amongst children (aged 0-18 years) in any setting and country, so long as they provided relevant information and analysis on both socioeconomic status and obesity-related outcomes. Data extraction and quality appraisal were conducted using established mechanisms and narrative synthesis was conducted.ResultsWe located 23 studies that provided the ‘best available’ (strongest methodologically) international evidence. At the individual level (n = 4), there was indicative evidence that screen time reduction and mentoring health promotion interventions could be effective in reducing inequalities in obesity. For the community level interventions (n = 17), evidence was inconclusive - with some studies suggesting that school-based health promotion activities and community-based group-based programmes were effective in reducing obesity - others not. Societal level evaluations were few (n = 1). However, there was no evidence to suggest that any of these intervention types increase inequalities and several studies found that interventions could at least prevent the widening of inequalities in obesity. The majority of studies were from America and were of 6-12 year old children.ConclusionsThe review has found only limited evidence although some individual and community based interventions may be effective in reducing socio-economic inequalities in obesity-related outcomes amongst children but further research is required, particularly of more complex, societal level interventions and amongst adolescents.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2458-14-834) contains supplementary material, which is available to authorized users.

Objectives(1) To determine the percentage of the population in England that has access to a general practitioner (GP) premises within a 20 min walk (the accessibility); (2) explore the relationship between the walking distance to a GP premises and urbanity and social deprivation and (3) compare accessibility of a GP premises to that of a community pharmacy—and how this may vary by urbanity and social deprivation.DesignThis area-level analysis spatial study used postcodes for all GP premises and community pharmacies in England. Each postcode was assigned to a population lookup table and Lower Super Output Area (LSOA). The LSOA was then matched to urbanity (urban, town and fringe, or village, hamlet and isolated dwellings) and deprivation decile (using the Index of Multiple Deprivation score 2010).Primary outcome measureLiving within a 20 min walk of a GP premises.ResultsOverall, 84.8% of the population is estimated to live within a 20 min walk of a GP premises: 81.2% in the most affluent areas, 98.2% in the most deprived areas, 94.2% in urban and 19.4% in rural areas. This is consistently lower when compared with the population living within a 20 min walk of a community pharmacy.ConclusionsOur study shows that the vast majority of the population live within a 20 min walk of a GP premises, with higher proportions in the most deprived areas—a positive primary care law. However, more people live within a 20 min walk of a community pharmacy compared with a GP premises, and this potentially has implications for the commissioning of future services from these healthcare providers in England.

Objective To determine whether use of the Professional and Linguistic Assessments Board (PLAB) examination system used to grant registration for international medical graduates results in equivalent postgraduate medical performance, as evaluated at Annual Review of Competence Progression (ARCP), between UK based doctors who qualified overseas and those who obtained their primary medical qualification from UK universities.Design Observational study linking ARCP outcome data from the UK deaneries with PLAB test performance and demographic data held by the UK General Medical Council (GMC).Setting Doctors in postgraduate training for a medical specialty or general practice in the UK and doctors obtaining GMC registration via the PLAB system. Participants 53 436 UK based trainee doctors with at least one competency related ARCP outcome reported during the study period, of whom 42 017 were UK medical graduates and 11 419 were international medical graduates who were registered following a pass from the PLAB route.Main outcome measure Probability of obtaining a poorer versus a more satisfactory category of outcome at ARCP following successful registration as a doctor in the UK. ResultsInternational medical graduates were more likely to obtain a less satisfactory outcome at ARCP compared with UK graduates. This finding persisted even after adjustment for the potential influence of sex, age, years of UK based practice, and ethnicity and exclusion of outcomes associated with postgraduate examination failure (odds ratio 1.63, 95% confidence interval 1.30 to 2.06). However, international medical graduates who scored in the highest twelfth at part 1 of the PLAB (at least 32 points above the pass mark) had ARCP outcomes that did not differ significantly from those of UK graduates.Conclusions These findings suggest that the PLAB test used for registration of international medical graduates is not generally equivalent to the requirements for UK graduates. The differences in postgraduate performance, as captured at ARCP, following the two routes to registration might be levelled out by raising the standards of English language competency required as well as the pass marks for the two parts of the PLAB test. An alternative might be to introduce a different testing system. IntroductionThe healthcare workforce is becoming increasingly international and globalised. 1 In the United Kingdom in 2012, 37% of the doctors registered with the national medical regulator, the General Medical Council (GMC), had qualified in other countries; 27% had obtained their medical degree from outside the European Economic Area (EEA).2 Before their names are placed on the GMC's List of Registered Medical Practitioners, allowing the doctor to legally practise medicine in the UK, all doctors must fulfil the criteria laid out in the 1983 Medical Act. 3 For international medical graduates, several routes to such registration exist (box 1).To take the Professional and Linguistic Assessments Board (PLAB) test (box 2), international medical graduates ...

ObjectiveTo assess the effectiveness of 2 interventions in improving the physical activity and well-being of secondary school children.DesignA clustered randomised controlled trial; classes, 1 per school, were assigned to 1 of 3 intervention arms or a control group based on a 2×2 factorial design. The interventions were peer-mentoring and participative learning. Year 7 children (aged 11–12) in the peer-mentoring intervention were paired with year 9 children for 6 weekly mentoring meetings. Year 7 children in the participative learning arm took part in 6 weekly geography lessons using personalised physical activity and Global Positioning System (GPS) data. Year 7 children in the combined intervention received both interventions, with the year 9 children only participating in the mentoring sessions.Participants1494 year 7 students from 60 schools in the North of England took part in the trial. Of these, 43 students opted out of taking part in the evaluation measurements, 2 moved teaching group and 58 changed school. Valid accelerometry outcome data were collected for 892 students from 53 schools; and well-being outcome data were available for 927 students from 52 schools.Main outcome measuresThe primary outcomes were mean minutes of accelerometer-measured moderate-to-vigorous intensity physical activity per day, and well-being as evaluated by the KIDSCREEN-27 questionnaire. These data were collected 6 weeks after the intervention; a 12-month follow-up is planned.ResultsNo significant effects (main or interaction) were observed for the outcomes. However, small positive differences were found for both outcomes for the participative learning intervention.ConclusionsThese findings suggest that the 2 school-based interventions did not modify levels of physical activity or well-being within the period monitored. Change in physical activity may require more comprehensive individual behavioural intervention, and/or more system-based efforts to address wider environmental influences such as family, peers, physical environment, transport and educational policy.Trial registration numberISRCTN82956355.

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