6 resultados para Intervention strategies

em Aston University Research Archive


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Recognition of the contribution of small firms to the UK economy has grown considerably since 1995 when this research first began. The poor record of small firms in managing health and safety effectively has caused concern, and efforts made to improve knowledge and awareness of the target group through various initiatives have had some success. This research thesis attempts to identify the range of intervention routes and methods available to reach the target group, and to consider ways of evaluating the outcome of such efforts. Various interventions were tested with small firms, including a Workshop; use of Questionnaires; short postal Reply Slip survey; leading to a closer evaluation of a specific industry- the Licensed Trade. Attitudes and beliefs of the sample were identified, and observations carried out to consider actions taken by workers and others in the workplace. These empirical research findings were used to develop the theme of Primary and Secondary interventions intended to change behaviours, and to confirm assumptions about what small firms currently do to manage health and safety risks. Guidance for small firms was developed as a Secondary intervention tool to support Primary interventions, such as inspection or insurance provision.

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Most advanced economies offer publicly financed advice services to start-up firms and SMEs. In England, local or regional Business Links organisations have provided these services, and divided their support into nonintensive one-off contacts providing information or advice and more intensive support involving a diagnostic process and repeated interaction with firms. A key choice for Business Link managers is how to shape their intervention strategies, balancing resources between intensive and nonintensive support. Drawing on resource dependency theory, we develop a typology of intervention strategies for Business Links in England which reflects differences in the breadth and depth of the support provided. We then test the impacts of these alternative intervention models on client companies using both subjective assessments by firms and econometric treatment models that allow for selection bias. Our key empirical result is that Business Links’ choice of intervention strategy has a significant effect both on actual and on perceived business outcomes, with our results emphasising the value of depth over breadth. The implication is that where additional resources are available for business support these should be used to deepen the assistance provided rather than extend assistance to a wider group of firms.

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This thesis considers four broad areas:(i) ANALYSIS OF THE STRESS FIELD.(a) research studies, relevant to the British Social Services considering the cultural setting, and the rigor with which they were conducted; (b) models of stress, specifically examining the theoretical soundness and practical application of the Medical, Engineering and Transactional models;(c) organisational models of stress relating specifically to human service organisations.(ii) QUALITATIVE AND QUANTITATIVE RESEARCH METHODOLOGIES.(a) the appropriate application of each respective methodology and the particular usefulness of qualitative research designs; (b) the relevance of understanding the language and terminology associated with the subject area prior to the implementation of survey methods; (iii) FIELDWORK.(a) Phase 1. By use of focus groups, in-depth interviews and diary keeping amongst a small range of teams and managers, the Researcher develops a basic conceptual framework of stress within a Social Services context. In addition a small scale personality inventory was administered to participants.(b) Phase 2. This consisted of three key elements: 6 case studies in which the Researcher implements and appraises the impact of a range of intervention strategies designed to assist teams and their managers in dealing more effectively with stress; the administration of a large scale survey to all the field social work teams within the Social Services Department; an analysis of the user role within the stress process by way of two focus groups.(iv) THEORETICAL DEVELOPMENT.

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In a series of studies, I investigated the developmental changes in children’s inductive reasoning strategy, methodological manipulations affecting the trajectory, and driving mechanisms behind the development of category induction. I systematically controlled the nature of the stimuli used, and employed a triad paradigm in which perceptual cues were directly pitted against category membership, to explore under which circumstances children used perceptual or category induction. My induction tasks were designed for children aged 3-9 years old using biologically plausible novel items. In Study 1, I tested 264 children. Using a wide age range allowed me to systematically investigate the developmental trajectory of induction. I also created two degrees of perceptual distractor – high and low – and explored whether the degree of perceptual similarity between target and test items altered children’s strategy preference. A further 52 children were tested in Study 2, to examine whether children showing a perceptual-bias were in fact basing their choice on maturation categories. A gradual transition was observed from perceptual to category induction. However, this transition could not be due to the inability to inhibit high perceptual distractors as children of all ages were equally distracted. Children were also not basing their strategy choices on maturation categories. In Study 3, I investigated category structure (featural vs. relational category rules) and domain (natural vs. artefact) on inductive preference. I tested 403 children. Each child was assigned to either the featural or relational condition, and completed both a natural kind and an artefact task. A further 98 children were tested in Study 4, on the effect of using stimuli labels during the tasks. I observed the same gradual transition from perceptual to category induction preference in Studies 3 and 4. This pattern was stable across domains, but children developed a category-bias one year later for relational categories, arguably due to the greater demands on executive function (EF) posed by these stimuli. Children who received labels during the task made significantly more category choices than those who did not receive labels, possibly due to priming effects. Having investigated influences affecting the developmental trajectory, I continued by exploring the driving mechanism behind the development of category induction. In Study 5, I tested 60 children on a battery of EF tasks as well as my induction task. None of the EF tasks were able to predict inductive variance, therefore EF development is unlikely to be the driving factor behind the transition. Finally in Study 6, I divided 252 children into either a comparison group or an intervention group. The intervention group took part in an interactive educational session at Twycross Zoo about animal adaptations. Both groups took part in four induction tasks, two before and two a week after the zoo visits. There was a significant increase in the number of category choices made in the intervention condition after the zoo visit, a result not observed in the comparison condition. This highlights the role of knowledge in supporting the transition from perceptual to category induction. I suggest that EF development may support induction development, but the driving mechanism behind the transition is an accumulation of knowledge, and an appreciation for the importance of category membership.

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A systematic review was conducted to explicitly identify interventions that alone, or in combination, were effective in improving antibiotic prescribing. The citation search strategy used in the present review provided a database of 365077 studies, of which only twenty-five were included in the final review (“review studies”). Analysis of the interventions used within the review studies indicated that a combination of “guidelines” and “pharmacy” interventions have the greatest potential to improve antibiotic prescribing. Two types of qualitative research were conducted, semi-structured interviews and the collection of naturally occurring data. Semi-structured interviews were conducted in order to determine NHS managers? perceptions of current policies used to improve antibiotic prescribing within selected Primary Care Trusts and highlighted the importance of pharmacy intervention, formularies or guidelines and improved prescribing analysis (IT based intervention) on improving antibiotic prescribing. This was supported by the collection of naturally occurring data, which was used to provide further insight into interventions used to improve antibiotic prescribing. The Specialist Antibiotic Pharmacist (HD) produced and implemented an innovative electronic antibiotic prescribing analysis tool (the Antibiotic Database) to analyse and improve antibiotic prescribing in a consistent manner. The key advantage of the Antibiotic Database was the time and money saved on producing visual electronic outputs containing an inaccurate outcome measure or time period for analysis. The results concluded that an IT based intervention, such as the Antibiotic Database should be used, in addition to the use of antibiotic guidelines and pharmacy intervention, within all sectors of the NHS in order to improve antibiotic prescribing and its analysis.

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Previous work has demonstrated that planning behaviours may be more adaptive than avoidance strategies in driving self-regulation, but ways of encouraging planning have not been investigated. The efficacy of an extended theory of planned behaviour (TPB) plus implementation intention based intervention to promote planning self-regulation in drivers across the lifespan was tested. An age stratified group of participants (N=81, aged 18-83 years) was randomly assigned to an experimental or control condition. The intervention prompted specific goal setting with action planning and barrier identification. Goal setting was carried out using an agreed behavioural contract. Baseline and follow-up measures of TPB variables, self-reported, driving self-regulation behaviours (avoidance and planning) and mobility goal achievements were collected using postal questionnaires. Like many previous efforts to change planned behaviour by changing its predictors using models of planned behaviour such as the TPB, results showed that the intervention did not significantly change any of the model components. However, more than 90% of participants achieved their primary driving goal, and self-regulation planning as measured on a self-regulation inventory was marginally improved. The study demonstrates the role of pre-decisional, or motivational components as contrasted with post-decisional goal enactment, and offers promise for the role of self-regulation planning and implementation intentions in assisting drivers in achieving their mobility goals and promoting safer driving across the lifespan, even in the context of unchanging beliefs such as perceived risk or driver anxiety.