bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Comparison of Mental Health Performance Indicators in Canada
Authors: Smith Mark , Butler Amanda , Lesage Alain , Kurdyak Paul , Adair Carol , Vigod Simone , Jones Wayne 
Published: June 2018

BackgroundThere is growing recognition of the need for consistent and reliable reporting on mental health and addiction (MHA) services in Canada. While there have been improvements in the area of reporting within provinces, comparable measures across provinces are often confined to hospitalization data. The aim of this project was to test the feasibility of creating MHA performance indicators that could be compared across Canadian provinces.
MethodsA team of scientists from five provinces collaboratively developed the following six MHA performance indicators for ages 10 and up, using hospital, emergency, physician billing and mortality data (pop. 33.2 million):

Access to the same family physician for people with MHA problems
First contact for MHA problems was in an emergency department
Physician follow-up after hospitalization for MHA problems
Rate of suicide attempts among people diagnosed with MHA problems
Suicide rates among people diagnosed with MHA problems
Mortality of people diagnosed with MHA problems

To facilitate meaningful inter-provincial comparisons, consensus definitions and standardized analytic processes were developed. Within age groups, 95% CI’s were calculated to determine if there were significant differences across years within age bands. Results are presented in a comparative format.
FindingsWe found similar patterns across provinces but significant variation in the absolute rates, with no province consistently best across all indicators. In general, outcomes were poor among adolescents and young adults compared to older groups.
ConclusionsThe results of this pilot indicate the process is feasible and meaningful. Future work could include generating comparisons on a regular basis to track system improvement; development of other measures of importance to stakeholders; and the expansion of the process to other provinces and territories. To our knowledge, this is the first report of provincial teams working collaboratively to generate comparable data on the performance of mental health services in Canada.
Using the Northern Ireland Maternity System (NIMATS) to determine the relationship of Body Mass Index (BMI) in the pregnant population with other chronic conditions and with pregnancy and birth outcomes
Authors: Gillespie Mary , Bunting Brendan , Sinclair Marlene , Condell Joan 
Published: June 2018

BackgroundIncreasing numbers of women living with chronic conditions are becoming pregnant (JÃ¸lving et al., 2016). The presence of chronic conditions can contribute to adverse outcomes in pregnancy and in later life for mother and infant (Gilmore et al., 2015; Schetter and Tanner, 2012). Over recent years, the role of increasing BMI in pregnancy has gained prominence, with risk factors for maternal obesity well documented in literature.
AimTo determine the relationship between BMI and other chronic conditions (multimorbidity) and pregnancy and birth outcomes in Northern Ireland.
MethodA cross-sectional cohort study was undertaken using data from the NIMATS database (2014-2015), accessed via the Honest Broker Service, with approval by the Office for Research Ethics Committees Northern Ireland (ORECNI) and the Honest Broker Governance Board.
ResultsRegression analyses demonstrated statistically significant relationships between increasing BMI and maternal conditions such as asthma, diabetes, epilepsy, hypertension, mental health and thyroid disease as well as a number of labour and birth outcomes. Mostly, these relationships were shown to increase with increasing BMI.
DiscussionThe findings from this study have important implications for the provision of preconception care, maternity services (including health professional training), child health services and the public health agenda.
Trends in the Risk to Wellbeing of a Community Population
Authors: Hyden Deborah 
Published: June 2018

BackgroundThis paper reports on the work of a project resulting from the collaboration of Queens University Belfast and the North Down Community Network (NDCN). Although North Down has an affluent reputation, local knowledge within the NDCN indicates there may be pockets of deprivation related poor wellbeing.
ObjectivesTo identify areas of unmet need in a local context.
MethodUsing data from the Northern Ireland Longitudinal Study (NILS) we adopted a multi-cohort approach to examine the links between household risk factors during childhood and physical/mental health to construct a predictive model of future health outcomes in the 46 super output areas (SOAs) of the North Down Area.
FindingsWhile preliminary results showed that the average probability for poor physical and mental health was likely to decline, two SOAs were likely to see an increase in poor physical health, one of which was also likely to witness an increase in poor mental health. Nonetheless, there were concerns regarding the magnitude of effect sizes between SOAs.
ConclusionsWhile results from this report may assist the NDCN to target areas in most need of resources to improve health and social care, lessons learned from this project are informative for future models of knowledge co-production intended to serve the public good.
Learning Disability and Northern Ireland: Achieving Proportionate Universalism through Administrative Data Research
Authors: Murphy Jamie , McBride Orla , Hanna-Trainor Lisa , Taggart Laurence , Shevlin Mark , Heslop Pauline , McConkey Roy , Glover Gyles 
Published: June 2018

BackgroundThe Department of Health, Social Services & Public Safety’s policy document ‘Fit and Well – Changing Lives (2012-2022)’ indicates that people with a learning disability (LD) represent one of the most vulnerable and disadvantaged groups in Northern Ireland (NI). Individuals with a LD are more likely to experience major illnesses, to develop them earlier, and die of them sooner, than the general population. Furthermore, the LD population is less likely to get some of the evidence-based annual health checks and treatments they need, and continue to face real barriers in accessing services. At present there is no central register detailing the actual number of individuals with LD in NI.
Study aimsThe study is based on research funded by the ESRC SDAI (ES/P002293/1). It involves the analysis of Northern Ireland Mortality Study (NIMS) data to:

Establish the socio-demographic characteristics of the LD population;
Profile morbidity and comorbidity of health care problems among individuals with LD; and
Explore the causes of death among the NI LD community.

Results and ConclusionsPreliminary study findings will be available by June 2018. Findings will be of particular interest to a range of government departments, trusts and learning disability support groups.
Social-determinants of self-reported multi-morbidity among adults in Northern Ireland: a census-based administrative data study
Authors: Ferry Fiona , Rosato Michael , Leavey Gerry , Curran Emma , De Cock Paul , O'Reilly Dermot 
Published: June 2018

BackgroundA combination of increased life expectancy and improvements in childhood survival rates has resulted in a persistent increase in the population at risk of chronic conditions and multimorbidity (WHO, 2016). Relatively little is known about levels of multi-morbidity, combinations of multi-morbid disorders or risk factors among the Northern Ireland (NI) population.
ObjectivesThis study aims to estimate rates of multi-morbidity among adults aged 25 and over in the NI population and examine the association of multi-morbidity and combinations of multimorbid conditions with a range of social determinants.
MethodsAnalyses are based on 1,123,604 individuals enumerated in the 2011 NI census, aged 25-64 and 65 plus. Descriptive statistics report prevalence rates and logistic regression examined the association between social determinants and multi-morbidity.
ResultsOverall, 40.08% reported at least one health condition, while 19.23% reported multi-morbidity. Results confirm a clear social gradient and association between age and multi-morbidity. Multi-morbidity was more likely among females aged 25- 64 (OR=1.09), but less likely among females aged 65 plus (OR=0.93). Marriage was protective among those aged 25- 64, while those who were never married had lower risk among those aged 65 plus (OR=0.64). Further analyses exploring social determinants of morbidity profiles present a complex array of associations. Among 25-64 year olds, while females were more likely to report single mental and less likely to report single physical problems, they were less likely to report multiple mental conditions and more likely to report combined physical/mental conditions.
ConclusionsResults suggest that multi-morbidity is common among the NI adult population and is a public health issue across the lifespan. While studies assessing the validity of self-reported health conditions within census are required, findings provide tentative evidence of the complex nature of associations between social determinants and multi-morbidity and how these vary among younger and older adults.
The Mental Health of Migrants in Northern Ireland
Authors: Patel Kishan , Kouvonen Anne , Bosqui Tania , Vannanen Ari , O'Reilly Dermot 
Published: June 2018

BackgroundResearch has shown that the health of migrants can vary dramatically from the health of the settled population of their countries. Whilst migrant health has been studied in other areas of the UK, it is especially important to research the mental health of migrants in Northern Ireland specifically, due to the country’s unique mental health situation.
ObjectivesThis study aims to assess the mental health of migrants in Northern Ireland as compared to the settled majority population, both by way of reported poor mental health, and psychotropic prescription medication uptake.
MethodsThis study uses a cohort of 1,019,769 people in Northern Ireland, taken from the 2011 Census of Northern Ireland and the BSO Enhanced Prescribing Dataset (2011-2014). The migrant population of Northern Ireland is described in terms of demographic and socioeconomic factors, and logistic regression models are used to analyse the relative risks of reporting poor mental health and uptake of psychotropic medication within the migrant population as compared to the settled population.
FindingsThe results show that migrants were significantly less likely to report poor mental health than the settled population of Northern Ireland, when adjusted for demographic characteristics, socioeconomic factors, and reported poor physical health. Migrants were also significantly less likely to use any form of psychotropic prescription medication than the settled population.
ConclusionsThese findings are in concordance with most research conducted in other countries. The roles of the healthy migrant effect, the salmon bias, stigma, and lack of access to healthcare are discussed as possible reasons for the percieved migrant mental health advantage. However, such a dramatic difference between the health of migrants and the settled population of Northern Ireland may be due, in part, to certain limitations of the datasets used.
Better to stay or go? A longitudinal study of mobility over the educational life course
Authors: Sweet Amy , Harris Richard , Manley David 
Published: June 2018

BackgroundThere has been substantial discussion in the literature about where you grow up and if whether or not you experience social and spatial mobility during childhood has substantial bearing upon later life achievement (Pribesh and Downey, 1999; Gasper et al, 2010; Sharkey and Elwert, 2011).
ObjectivesThis paper utilises data from the National Pupil Database (NPD) and a quantitative framework to explore the impact of residential mobility on educational outcomes. Many previous studies of neighbourhood mobility have used point in time measures when studying inequality, which means that an individual’s neighbourhood trajectory is overlooked.
Data/MethodsWe follow a single cohort of pupils’ over an eleven year time period to analyse their mobility along with their individual characteristics to provide a clear understanding of who is moving and the impact this has on them in terms of educational attainment. We also use the index of multiple deprivation as a measure of neighbourhood wealth to determine to what extent children are able to ’trade up’ in terms of neighbourhood.
FindingsOur findings show that moving home has a negative impact on educational attainment compared to those that stay in the same location throughout the educational life cycle. Those that ‘trade up’ in terms of quality of neighbourhood still do not achieve the same educational outcomes as their peers who live in a lower deprived neighbourhood throughout their schooling.
ConclusionResidential mobility between deprived areas, as shown in this paper, has more of an impact than just being ‘stuck in place’. It is not purely a case of where you live determining your outcomes, but also how often you move home in childhood and adolescence.
Evaluating the impacts on health outcomes ofWelsh Government funded schemes designed to improve the energy efficiency of the homes of low income households: A comparison of individual level and area based schemes.
Authors: Morrison-Rees Sian , Lowe Sarah 
Published: June 2018

BackgroundTo reduce fuel poverty and its adverse health effects in Wales the Welsh Government developed programmes to improve the energy efficiency of homes. This includes the fuel poverty scheme: ‘Warm Homes Nest‘. The scheme was available to low income and vulnerable households in Wales from 2011 to 2015, and provided energy efficiency measures e.g. insulation and heating upgrades such as a more efficient boiler, aimed to maintain warmer homes.
ObjectivesThe overall aim was to evaluate the health impacts of Welsh Government funded schemes designed to reduce fuel poverty through the use of existing data linked to the routine health records held in the SAIL Databank at Swansea University.
MethodWe created a longitudinal dataset of individuals living in residential dwellings in receipt of home energy efficiency improvements, then linked to their health records to create a summary of their health utilization measures.
We used difference-in-difference (DID) estimations to compare any changes in recipient health before and after intervention against any concurrent change in health in those yet to receive the intervention.
FindingsWe have built upon our previous work presented at the ADRN 2017 conference where we reported a positive impact of the Nest scheme on the respiratory health of recipients. We will show a significant impact on respiratory conditions leading to a change to the eligibility criteria for the successor scheme. We will discuss our ongoing work analysing the impacts of the Nest scheme on mental health outcomes. This will include the findings from the literature search demonstrating the need for more evidence using objective outcome measures, and on selecting and utilizing validated codes developed for administrative data to investigate any changes in common mental health issues such as depression and anxiety.
ConclusionsProviding home energy efficiency interventions has the potential to benefit population health. Our findings will inform more effectively-focussed home energy efficiency schemes and potentially thus improve the health of people living in Wales.
Creation and analysis of a ‘national’ homelessness prevention programme dataset – The Supporting People Data Linkage Study
Authors: Johnson Rhodri , Lowe Sarah , Jones Ian , Morrison-Rees Sian 
Published: June 2018

BackgroundWelsh Government (WG) invests over £120m annually in housing related support to help prevent and tackle homelessness under the Supporting People (SP) Programme.
A 2016 data-linkage Feasibility Study for two Local Authorities (LAs) indicated health-service utilisation reductions post-intervention, and led to a four-year ADRC-Wales project to create a national, all-Wales dataset to provide robust statistical results.
ObjectivesEstablish data sharing agreements and acquire anonymised individual level data into the SAIL (Secure Anonymised Information Linkage) databank to create a national, all-Wales, longitudinal SP dataset.
Create control groups and carry out statistical analysis to investigate how the Supporting People Programme may help service users and the effects on other public services.
Methods (including data)Intervention data for Supporting People service users was collected from individual LAs and imported into the SAIL databank using a split file process to maintain anonymity.
Anonymised service users data were linked at the individual level to demographic and health data records for in excess of 40,000 individuals, with outcome measures created based on emergency hospital admissions, accident and emergency visits and General Practice events.
Several control group creation methods were examined: 1) Internal Intervention Programme Data; 2) Matched controls using the SAIL databank; 3) Healthcare-Utilisation Patterns; 4) External Data Sources (Housing Options and Substance Misuse datasets).
FindingsData sharing agreements and data acquisition complete for nineteen of twenty-two LAs, discussions ongoing for remaining LAs.
Health data-linkage complete, other public service data acquisition ongoing.
Annual progress reports published, main statistical analysis underway and due for 2018 publication.
ConclusionsWe discuss challenges and opportunities around acquiring multi-sourced administrative data, methods of creating meaningful control groups and planned statistical analysis.
Predicting psychosis admission rates in Wales using neighbourhood deprivation
Authors: Jones Leah , Jackson Mike , Saville Christopher WN 
Published: June 2018

BackgroundSocioeconomic deprivation has been identified as a risk factor for psychosis and admission rates for psychosis are higher in deprived areas than more affluent areas. However, social gradients exist in many mental health conditions and it is unclear if this relationship is particularly important for psychosis.
ObjectivesThe present study assesses whether there is a stronger relationship between the socioeconomic deprivation of an area and its rate of psychiatric admissions for psychosis than there is for other mental health diagnoses.
MethodsWe linked a large dataset of routinely recorded psychiatric admissions from the Welsh National Health Service to small area indices of socio-economic deprivation (the Welsh Index of Multiple Deprivation). Poisson generalised linear mixed effects models were applied to stratified admission count data to test whether the relationship between deprivation and admission rates was stronger for psychosis admissions than for non-psychosis admissions. Data from Betsi Cadwaladr University Health Board (19,437 patients) were used as a discovery sample and an analysis protocol was pre-registered before being applied to data from the rest of Wales (116,641 patients).
FindingsIn both samples, admission rates were higher in more deprived areas. In the discovery sample, this relationship was stronger for psychosis admissions than for other types of admission. However, in the larger replication dataset, this was not the case and the social gradient in admissions was equivalently steep for the two diagnosis categories.
ConclusionsAlthough socio-economic deprivation was a risk factor for admission with psychosis, it is not a stronger risk factor for psychosis than for other psychiatric categories. Theoretical accounts of the relationship between psychosis and poverty should focus on factors common across mental health, rather than factors specific to psychosis.
The length of the hydraulic jump on the basis of physical and numerical modeling
Authors: Urbański Janusz , Siwicki Piotr , Kiczko Adam , Kozioł Adam , Krukowski Marcin 
Published: June 2018

Abstract
The outcomes of physical and numerical modeling of the sluice gate outflow are presented. The measured velocity distributions in verticals of a physical model were compared with results of numerical modeling, obtained using ANSYS Fluent software. The research goal was verification of suitability of the computational fluid dynamic (CFD) approach in determination of the hydraulic jump length at the outflow of the flow control structure. Studies were performed for the model of the sluice gate and stilling basin with two setups of baffle blocks: in one and two rows. The jump lengths were estimated by an analysis of vertical velocity profiles at the outflow. Two rows of baffle blocks in the stilling basin allowed to reduce the length of the hydraulic jump by 5–10%, comparing to the length with the single row of blocks. The computational fluid dynamic approach underestimated the length of the hydraulic jump by 4–7%, comparing to the physical model.
STUDI PARTISIPASI MASYARAKAT TERHADAP PELAKSANAAN PROGRAM PNPM MANDIRI DI SUMATERA BARAT
Authors: Ermayanti Ermayanti , Hendrawati Hendrawati , Zamzami Lucky 
Published: June 2018

This research article was conducted in the village of Sungai Beringin, Payakumbuh District, 50 Kota Regency. This regency is one of the best in West Sumatra, in the implementation of PNPM-MPd, especially in the village of Sungai Beringin. Achievements were obtained from this village is the improvement of the capacity of the community in physical and economic developing, women activities and helped the community to access the entire potential in the village of Sungai Beringin for realizing independent and prosperity of the community. This research used a qualitative approach, as a case of study with research focused to community participation into PNPM MPd levels, which these phenomena specifically attention about time, place and condition has happened in the village of Sungai Beringin. A result of the research shows that factors which influenced community participation can say still low. Planning of development participation is consistent and seriously from another side in PNPM MPd implementation, which consists of training of community empowerment, especially poverty community, internal factors which influenced are age, status, gender, jobs, and education. External factors also influenced all of the form and community participation level in meeting and discussion active in the meeting.
Public health and epidemiology of cancer in Colombia
Authors: Weisner Carolina 
Published: June 2018

Conocer la epidemiologia del cáncer ha sido un reto relativamente reciente para los sistemas de salud de los países de medianos y bajos recursos, por cuanto los perfiles patológicos predominantes, hasta la segunda mitad del siglo XX, habían sido las enfermedades agudas o transmisibles y por tanto no se daba una suficiente visibilidad al cáncer1. La epidemiologia de las enfermedades trasmisibles requiere de un enfoque epidemiológico especifico, con información casi que en tiempo real, o máximo hasta un año; igualmente requiere de información basada en la clasificación del agente causal, con el objetivo primordial, de controlar los brotes epidémicos2. En contraste, la vigilancia epidemiológica del cáncer tiene como objetivos: monitorear el comportamiento de los diferentes factores de riesgo, estimar el riesgo poblacional de desarrollar la enfermedad, -en un área y en un tiempo delimitados-, así como medir el impacto de las intervenciones mediante el análisis de la supervivencia y la mortalidad2. Dado que modificar la incidencia o la mortalidad por cáncer requiere de intervenciones que implican mínimo cinco años, la generación de información en cáncer se realiza en general de manera quinquenal.