Quality and validity of large animal experiments in stroke : a systematic review

An important factor for successful translational stroke research is study quality. Low-quality studies are at risk of biased results and effect overestimation, as has been intensely discussed for small animal stroke research. However, little is known about the methodological rigor and quality in large animal stroke models, which are becoming more frequently used in the field. Based on research in two databases, this systematic review surveys and analyses the methodological quality in large animal stroke research. Quality analysis was based on the Stroke Therapy Academic Industry Roundtable and the Animals in Research: Reporting In Vivo Experiments guidelines. Our analysis revealed that large animal models are utilized with similar shortcomings as small animal models. Moreover, translational benefits of large animal models may be limited due to lacking implementation of important quality criteria such as randomization, allocation concealment, and blinded assessment of outcome. On the other hand, an increase of study quality over time and a positive correlation between study quality and journal impact factor were identified. Based on the obtained findings, we derive recommendations for optimal study planning, conducting, and data analysis/reporting when using large animal stroke models to fully benefit from the translational advantages offered by these models

Development of a quality assessment tool for systematic reviews of observational studies (QATSO) of HIV prevalence in men having sex with men and associated risk behaviours

<p>Abstract</p> <p>Background</p> <p>Systematic reviews based on the critical appraisal of observational and analytic studies on HIV prevalence and risk factors for HIV transmission among men having sex with men are very useful for health care decisions and planning. Such appraisal is particularly difficult, however, as the quality assessment tools available for use with observational and analytic studies are poorly established.</p> <p>Methods</p> <p>We reviewed the existing quality assessment tools for systematic reviews of observational studies and developed a concise quality assessment checklist to help standardise decisions regarding the quality of studies, with careful consideration of issues such as external and internal validity.</p> <p>Results</p> <p>A pilot version of the checklist was developed based on epidemiological principles, reviews of study designs, and existing checklists for the assessment of observational studies. The Quality Assessment Tool for Systematic Reviews of Observational Studies (QATSO) Score consists of five items: External validity (1 item), reporting (2 items), bias (1 item) and confounding factors (1 item). Expert opinions were sought and it was tested on manuscripts that fulfil the inclusion criteria of a systematic review. Like all assessment scales, QATSO may oversimplify and generalise information yet it is inclusive, simple and practical to use, and allows comparability between papers.</p> <p>Conclusion</p> <p>A specific tool that allows researchers to appraise and guide study quality of observational studies is developed and can be modified for similar studies in the future.</p

GSUE: urban geochemical mapping in Great Britain

The British Geological Survey is responsible for the national strategic geochemical survey of Great Britain. As part of this programme, the Geochemical Surveys of Urban Environments (GSUE) project was initiated in 1992 and to date, 21 cities have been mapped. Urban sampling is based upon the collection of top (0.05 to 0.20 m) and deeper (0.35 to 0.50 m) soil samples on a 500 m grid across the built environment (1 sample per 0.25 km2). Samples are analysed for c. 46 total element concentrations by X-ray Fluorescence Spectrometry (XRFS), pH and loss on ignition (LOI) as an indicator of organic matter content. The data provide an overview of the urban geochemical signature and because they are collected as part of a national baseline programme, can be readily compared with soils in the rural hinterland to assess the extent of urban contamination. The data are of direct relevance to current UK land use planning, urban regeneration and contaminated land legislative regimes. An overview of the project and applications of the data to human health risk assessment, water quality protection and contaminant source identification are presented

Application of multicriteria fuzzy clusterization approach to assess the arctic seas oil and gas field development prospects

The article describes a unified approach to the assessment of resources and business planning. As an example, the oil and gas resources of the Pechora Sea are considered in the paper. Based on the specifics of the problem (the quantity and quality of the available data and their nature), the methods of multicriteria fuzzy clusterization are used. The assessment of the prospects for the development of oil and gas fields was carried out using 3 criteria, namely: availability of resources (natural and climatic conditions of the region); hydrocarbon resources and their degree of exploration; economic assessment of the development. The results of such an analysis are presented in the form of maps of the Pechora Sea area, illustrating the most important and accessible areas and the sequence of their development. Such a stepwise development based on minimizing the risk and maximizing the benefits can be the basis for the successful and trouble-free development of the resources of the entire region.publishedVersio

Improving the reporting efficiency for Aboriginal Community Controlled Health Organisations: progress over a decade

This issues brief examines the evolution of the reporting requirements of Aboriginal Community Controlled Health Organisations (ACCHOs) over the last ten years, with a particular focus on programs funded by the Australian Government Department of Health (the Department). With one exception, the issues brief examines key initiatives implemented by the Department, up to the end of 2013, in an attempt to improve reporting arrangements for ACCHOs. It also examines the impacts of these changes on reporting efficiency. The exception is the Healthy for Life Program. The program is included here because it pioneered Continuous Quality Improvement and outcomes based reporting and as such influenced subsequent reporting developments. The key initiatives are: the Service Development and Reporting Framework (SDRF) (2005 to 2011); the Healthy for Life program (2005 and continuing); the Indigenous and Rural Health Division (formerly Office for Aboriginal and Torres Strait Islander Health) Risk Assessment Process (2008 to 2013); developments in Information Technology and Information Management, with a particular focus on the OCHREStreams web-based reporting tool (2011 and continuing); and a multi-year funding agreement (2011 and continuing). These initiatives have brought about some significant improvements in reporting efficiency, including: standardisation of reporting requirements across several programs under the SDRF, with a consequent reduction in reporting complexity and effort and adoption of a more strategic cross-program approach to planning and reporting; a shift to outcomes based planning and reporting as part of a continuous quality improvement cycle, and an increase in the data management skills and systems needed to support continuous quality improvement; progressive move to independent risk assessment that focused primarily on governance and financial management, which has driven improvements in the quality of financial reporting; the development and roll-out of a web-based reporting tool that allows ACCHOs to submit organisational and service activity data, as well as data for national Key Performance Indicators; and further standardisation of reporting requirements under the Department’s multi-year funding agreement. Despite these improvements, ACCHOs still face a complex and resource intensive reporting load. Current reporting requirements are discussed in some detail, along with a range of possible improvements that could be made with the aim of avoiding unnecessary reporting yet maintaining information flows for policy and programme design implementation and review supporting the accountability requirements of public funds and supports continuous quality improvement in the sector. These include: working with other funders, particularly the states, to coordinate and standardise reporting requirements, with a possible extension of OCHREStreams to enable it to be used by states for some aspects of reporting; reviewing the extensive data reporting-related requirements with a view to removing those that are of least value to the Commonwealth and the sector; and where formal accountability requirements permit, moving progressively away from reporting on inputs and throughputs in favour of outcomes-based reporting, with possible use of targets and benchmarks to enable organisations to track performance. The identified improvements provide a framework for continuing to work towards maximising reporting efficiency which will help to address a range of strategic outcomes including the Aboriginal and Torres Strait Islander Health Plan (2013–2023) priorities. It should be noted that whilst this issues brief references only arrangements until the end of 2013, there have been considerable reporting changes and initiatives since that time

Environmental Health Effects of Multiple Exposures: Systemic Risks and the Detroit River International Crossing Study

This thesis examines cumulative exposures to traffic noise and outdoor air pollution on environmental and health related quality of life in Windsor, Ontario, and provides a critical analysis of the environmental assessment process for the Detroit River International Crossing (DRIC) Study. The research utilizes a systemic risk framework to understand environmental health and stress effects of cumulative exposures. The significance of this research is based on a relative absence of literature on the systemic health risks of cumulative exposures and the need to elucidate environmental annoyance as a health outcome for risk assessment. The objectives of the research were to (1) Demonstrate the impact of high volume traffic facilities on the noise annoyance dose-response; (2) Evaluate the effect of cumulative exposures and odour annoyance on noise annoyance; (3) Conceptualize and test a model for annoyance as a health outcome of multiple exposures, and; (4) Critically appraise the capacity of environmental impact assessment to address environmental health in megaproject planning. Data from a community survey (n=610) in 2013 were combined with spatial data exposures to traffic noise and ambient nitrogen dioxide. Bivariate analyses, multivariate regression and structural equation modeling were used for the quantitative analysis. Document and media analyses were used to construct stakeholder discourses on environmental health and risk perceptions of relevance to the DRIC Study. The results of an ordinal location-scale model used to predict noise annoyance demonstrated a dose-response effect of noise, significant interactions between noise and air pollution, and a strong confounding effect of odour annoyance. A structural equation model for environmental and health related quality of life indicated that noise annoyance had a negative impact on functional mental and physical health, and that odour annoyance and levels of co-exposure were important covariates. The results of the quantitative analysis corresponded with community discourses on environmental health during the DRIC Study. Further analysis showed that the environmental assessment process obfuscated community health risks and stakeholder participation, lending support to the utilization of systemic risk perspectives and integrated environmental impact health assessments in megaproject planning. The DRIC study findings were in disagreement with public perceptions and previous research that demonstrates strong contributions of border traffic to air pollution and significant associations between air pollution and health in Windsor. The results of this thesis complement these findings by showing that ambient stressors in Windsor and in the environmental context of the DRIC megaproject had a systemic effect on health. This provides a unique contribution to the environmental health literature on cumulative effects of exposure to environmental noise and ambient pollution. It also provides a methodological contribution to systemic health risk assessment for measuring impacts of multiple environmental exposures on health related quality of life. For future research on environmental health the results warrant explicit consideration of multiple exposures and their combined effects as ambient stressors

Renewing Climate Planning Locally in the Tropics: Conclusions

In the Tropics, a significant increase in the number of cities provided with climate plans by 2020, as announced in the 11th Sustainable development goalof the United Nations, requires an unprecedented effort. To achieve it, we have to simplify the planning process and improve the quality of the plans. The aim of this book was to collect methods and experiences to inspire the simplification of the planning process and increase the quality of climate planning. We focused attention on the three critical phases of the planning process: analysis, decision making in planning, climate measures. Sixteen case studies from Ethiopia, Haiti, Malawi, Mexico, Niger, Senegal, Tanzania and Thailand cover automatic weather stations in remote areas, rainfall estimation gridded datasets, open data for vulnerability index to climate change, early warning systems, quality of climate plans index, multi-risk local assessment, flooding risk evaluation method, backcasting, spatial dimension in disaster risk reduction and resilience, gasification stoves, index-based insurance and vulnerability risk credit. After indicating the possible analyses, 19 recommendations were supplied to the United Nations SDGs monitoring system, the national weather services and those responsible for natural risks, to the Development banks, Official development aid and the research institutions

The National Eye Survey of Trinidad and Tobago (NESTT): Rationale, objectives and methodology

Purpose: This paper describes the rationale, study design and procedures of the National Eye Survey of Trinidad and Tobago (NESTT). The main objective of this survey is to obtain prevalence estimates of vision impairment and blindness for planning and policy development. Methods: A population-based, cross-sectional survey was undertaken using random multistage cluster sampling, with probability-proportionate-to-size methods. Eligible participants aged 5 years and older were sampled from the non-institutional population in each of 120 cluster segments. Presenting distance and near visual acuity were screened in their communities. People aged 40 years and older, and selected younger people, were invited for comprehensive clinic assessment. The interview included information on potential risk factors for vision loss, associated costs and quality of life. The examination included measurement of anthropometrics, blood glucose, refraction, ocular biometry, corneal hysteresis, and detailed assessment of the anterior and posterior segments, with photography and optical coherence tomography imaging. Adult participants were invited to donate saliva samples for DNA extraction and storage. Results: The fieldwork was conducted over 13 months in 2013–2014. A representative sample of 10,651 individuals in 3410 households within 120 cluster segments identified 9913 people who were eligible for recruitment. Conclusion: The study methodology was robust and adequate to provide the first population-based estimates of the prevalence and causes of visual impairment and blindness in Trinidad and Tobago. Information was also gathered on risk factors, costs and quality of life associated with vision loss, and on normal ocular parameters for the population aged 40 years and older