978 resultados para best practice


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The Clinical Support Systems Program (CSSP) includes the management of clinical practice using clinical and consumer pathways, outcome and performance indicators, clinical measurement and review in a continuous improvement cycle using the best available extant evidence. The Royal Australasian College of Physicians is testing the CSSP model through four consortia around Australia. There are 17 project sites in three States. The funded projects address major clinical problems including congestive heart failure and acute coronary syndromes, acute stroke management, and colorectal cancer care. There is some early evidence of the CSSP influencing change in areas beyond the bounds of the project settings and the College has developed a plan to promote wider adoption of best practice. This approach recognises the College’s role in providing Fellows with the practical tools of quality improvement, the means to collect data and compare their practice to other clinicians, while traversing the appropriate educational framework.

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Background Despite declining rates of cardiovascular disease (CVD) mortality in developed countries, lower socioeconomic groups continue to experience a greater burden of the disease. There are now many evidence-based treatments and prevention strategies for the management of CVD and it is essential that their impact on the more disadvantaged group is understood if socioeconomic inequalities in CVD are to be reduced.

Aims To determine whether key interventions for CVD prevention and treatment are effective among lower socioeconomic groups, to describe barriers to their effectiveness and the potential or actual impact of these interventions on the socioeconomic gradient in CVD.

Methods Interventions were selected from four stages of the CVD continuum. These included smoking reduction strategies, absolute risk assessment, cardiac rehabilitation, secondary prevention medications, and heart failure self-management programmes. Electronic searches were conducted using terms for each intervention combined with terms for socioeconomic status (SES).

Results Only limited evidence was found for the effectiveness of the selected interventions among lower SES groups and there was little exploration of socioeconomic-related barriers to their uptake. Some broad themes and key messages were identified. In the majority of findings examined, it was clear that the underlying material, social and environmental factors associated with disadvantage are a significant barrier to the effectiveness of interventions.

Conclusion Opportunities to reduce socioeconomic inequalities occur at all stages of the CVD continuum. Despite this, current treatment and prevention strategies may be contributing to the widening socioeconomic-CVD gradient. Further research into the impact of best-practice interventions for CVD upon lower SES groups is required.

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Cross-sector partnerships are capable of achieving solutions to large scale societal problems, which when successful, are well-publicized. Partnering organizations not only reap reputational acclaim but garner valuable organizational benefits. Membership within successful partnerships would undoubtedly be considered a competitive advantage, yet several of these successful relationships have chosen to forgo this valuable position. Instead of retaining intellectual property, partnering organizations are sharing successful processes and practices with peers and competitors. This research examined three examples of best practice cross-sector partnerships to identify relationship success factors, how they involved other organizations and why they shared successful social responsibility initiatives with others.

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By integrating some of the required tasks, assessment, planning, appraisal and self review, teachers can use one set of documentation for a number of tasks. What this can do is highlight common threads and inform teachers about ways to improve practice and create improved outcomes for children, families - and teachers.

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It is well established that not all investigative interviewers adhere to ‘best-practice’ interview guidelines (i.e., the use of open-ended questions) when interviewing child witnesses about abuse. However, little research has examined the sub skills associated with open question usage. In this article, we examined the association between investigative interviewers' ability to identify various types of questions and adherence to open-ended questions in a standardized mock interview. Study 1, incorporating 27 trainee police interviewers, revealed positive associations between open-ended question usage and two tasks; a recognition task where trainees used a structured protocol to guide their response and a recall task where they generated examples of open-ended questions from memory. In Study 2, incorporating a more heterogeneous sample of 40 professionals and a different training format and range of tests, positive relationships between interviewers' identification of questions and adherence to best-practice interviewing was consistently revealed. A measure of interviewer knowledge about what constitutes best-practice investigative (as opposed to knowledge of question types) showed no association with interviewer performance. The implications of these findings for interviewer training programs are discussed.

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Workers in physically demanding occupations (PDOs) are frequently subjected to physical selection tests. To avoid legal ramifications, workplaces must be able to show that any personnel selection procedures reflect the inherent requirements of the job. A job task analysis (JTA) is fundamental in determining the work tasks required for employees. To date, there are no published instructions guiding PDO researchers on how to conduct job task analyses. Job task analysis research for non-PDOs offers some insight into the expected reliability and validity of data obtained on the most prevalent task domains in job analysis (importance, frequency, time spent and difficulty). This review critiques such research, and the existing published material on JTA of PDOs, and provides recommendations for future research and practice.

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Time, cost and quality are the traditional determinants of project success. The level of client satisfaction is a newly defined measurement of project success. Often the satisfaction level of construction clients is not high. The reasons for this situation are twofold, firstly due to the temporary organizational structure of construction team and secondly, the inefficient construction process. The traditional procurement route, whilst still the most popular in the building sector, is probably subject to most criticism. The primary aim of this research is to develop a new best practice model for building projects. This will enable the client’s project manager to identify best practice under the traditional procurement route before the work is executed. Within this model, the sequence of construction activities, the responsibilities of the parties and the critical aspect of each phase of the project are identified. This model can then be utilized at both the design and/ or the construction stage in order to secure project success.

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The performance level of construction industry in the UK is generally considered to be low. The reasons for this situation are twofold, firstly due to the temporary organisational structure of construction team and secondly the inefficient construction process. Previous research in this area has focused on developing a generic model to represent the construction process. It is necessary to develop a process model, which clearly identifies the roles and responsibilities of the major parties on the building team and identifies the key issues within the project cycle. The method for presenting this model is by using an expert system. The primary aim of this paper is to discuss the development of the CONstruction Best Practice System (CONBPS). The theoretical framework of CONBPS and the development and evaluation of the system will be described. The future research will also be discussed. Finally, the advantage of this model will be identified.