Improving Water Quality in Four Austin Area Streams

This Working paper provides brief information on a project to improve the water quality of four Austin creeks, including Waller Creek, by reducing the amount of bacteria in the water. The aim of this project is to protect contact recreation in the creeks.Waller Creek Working Grou

Improving further education provision for learners from minority ethnic groups: a review of the evidence

This paper summarises the findings from a review carried out by the National Research and Development Centre for adult literacy and numeracy (NRDC) for the Quality Improvement Agency (QIA) between April and September 2007. The study sought to summarise what is known about the participation of those from minority ethnic groups in Further Education (FE) and to identify effective practice in helping them to achieve

Best practice statement : use of ankle-foot orthoses following stroke

NHS Quality Improvement Scotland (NHSQIS) leads the use of knowledge to promote improvement in the quality of health care for the people of Scotland and performs three key functions. It provides advice and guidance on effective clinical practice, including setting standards; drives and supports implementation of improvements in quality, and assessing the performance of the NHS, reporting and publishing findings

Assessment Summary

This document provides context for the 2006 Texas Water Quality Inventory Waller Creek data sheetWaller Creek Working Grou

Best Practice Statement : Use of Ankle-Foot Orthoses Following Stroke

The development of this Best Practice Statement (BPS) was a collaboration between NHS Quality Improvement Scotland (NHS QIS), National Centre for Prosthetics and Orthotics, University of Strathclyde and a multidisciplinary group of relevant specialists. NHS QIS is a strategic health board which has a lead role in supporting the NHS in Scotland to improve the quality of healthcare. It does this by producing advice and evidence in a number of different formats, including BPS. These statements reflect the commitment of NHS QIS to sharing local excellence at a national level, and the current emphasis on delivering care that is patient-centred, cost-effective and fair. As part of a scoping exercise commissioned by NHS QIS in 2007, allied health professionals (AHPs) across Scotland identified the use of AFOs following stroke in adults as a clinical improvement priority. Orthotic intervention following stroke has been recognised as a treatment option for many years, but there is wide variation in current practice, and a lack of evidence-based research to determine the optimal rehabilitation programme for individuals following stroke. Stroke is the most frequent cause of severe adult disability in Scotland, with approximately 8,500 diagnoses of first-ever stroke each year, and more than 70,000 individuals affected by the condition. A recent Scottish Government strategy document confirms stroke as a national clinical priority for the Scottish NHS. In addition to developing a BPS and sharing this with healthcare professionals across Scotland, the initiative also sought to develop resource material to support the implementation of the BPS and to share the work internationally. In order to inform the development of the BPS a systematic literature review on AFO use following stroke was undertaken, including work of both a qualitative and quantitative nature. The full literature review, together with recommendations for future research, was included in the BPS. As it was felt that many medical professionals and AHPs may be unfamiliar with the principles underpinning orthotic practice, additional educational resources that would improve understanding of the reasons why the recommendations were being made were developed and included in the BPS. In addition to the full BPS, the key recommendations were summarised as a two-page 'quick reference guide' for ease of use in a clinical setting

Executive Summary

This document provides context for the 2006 Texas Water Quality Inventory Waller Creek data sheetWaller Creek Working Grou

Automated software quality visualisation using fuzzy logic techniques

In the past decade there has been a concerted effort by the software industry to improve the quality of its products. This has led to the inception of various techniques with which to control and measure the process involved in software development. Methods like the Capability Maturity Model have introduced processes and strategies that require measurement in the form of software metrics. With the ever increasing number of software metrics being introduced by capability based processes, software development organisations are finding it more difficult to understand and interpret metric scores. This is particularly problematic for senior management and project managers where analysis of the actual data is not feasible. This paper proposes a method with which to visually represent metric scores so that managers can easily see how their organisation is performing relative to quality goals set for each type of metric. Acting primarily as a proof of concept and prototype, we suggest ways in which real customer needs can be translated into a feasible technical solution. The solution itself visualises metric scores in the form of a tree structure and utilises Fuzzy Logic techniques, XGMML, Web Services and the .NET Framework. Future work is proposed to extend the system from the prototype stage and to overcome a problem with the masking of poor scores

Quality Data is Key to Improving Education

The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, t data systems alone will not improve outcomes. It is time for both DQC and states to focus on building capacity to use the information that these systems are producing at every level – from classrooms to state houses. To impact system performance and student achievement, the ingrained culture must be replaced with one that focuses on data use for continuous improvement. The effective use of data to inform decisions, provide transparency, improve the measurement of outcomes, and fuel continuous improvement will not come to fruition unless there is a system wide focus on building capacity around the collection, analysis, dissemination, and use of this data, including through research