54 resultados para in-depth analysis


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In this response to Mekasha and Tarp (2013) we show that contrary to what they state, their study validates our basic analysis. They confirm that the literature finds that aid is of little economic importance in generating growth. The results also show that the literature systematically selects control variables for their effect on aid effectiveness. We argue that their choice of the random effects model is not appropriate for the problem at hand, and that the way they use multiple meta-regression analysis contradicts the robust results reached at the basic analysis.

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Objectives: 

To provide an in-depth analysis of outcome measures used in the evaluation of chronic disease self-management programs consistent with the Stanford curricula.

Methods:
Based on a systematic review on self-management programs, effect sizes derived from reported outcome measures are categorized according to the quality of life appraisal model developed by Schwartz and Rapkin which classifies outcomes from performance-based measures (e.g., clinical outcomes) to evaluation-based measures (e.g., emotional well-being).

Results:
The majority of outcomes assessed in self-management trials are based on evaluation-based methods. Overall, effects on knowledge—the only performance-based measure observed in selected trials—are generally medium to large. In contrast, substantially more inconsistent results are found for both perception- and evaluation-based measures that mostly range between nil and small positive effects.

Conclusions:
Effectiveness of self-management interventions and resulting recommendations for health policy makers are most frequently derived from highly variable evaluation-based measures, that is, types of outcomes that potentially carry a substantial amount of measurement error and/or bias such as response shift. Therefore, decisions regarding the value and efficacy of chronic disease self-management programs need to be interpreted with care. More research, especially qualitative studies, is needed to unravel cognitive processes and the role of response shift bias in the measurement of change.

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 Abstract
Purpose – The purpose of this paper is to evaluate how and to what extent commercial awareness is
embedded within the curriculum of the UK Royal Institution of Chartered Surveyors (RICS)-accredited
real estate courses. It also discusses the development of commercial awareness taxonomy.
Design/methodology/approach – This paper presents the research findings of questionnaire
survey and interviews with RICS-accredited real estate course providers in the UK. The questionnaire
aimed to gather course directors’ views on the definitions and components of commercial awareness
and identify what skills and attributes are required for its development. It also evaluated how
commercial awareness has been embedded in the real estate courses. The aim of the interview was to
gain deeper insight on how components of commercial awareness are embedded in real estate courses
and nine interviews were conducted. The interviews were recorded, transcribed and coded to identify
similar themes. The frequency of the answer in the questionnaire and comments from interviewees
is presented.
Findings – The UK real estate academics agreed the most important definition of commercial
awareness as that of a “person’s ability on understanding of the economics of business”. They agreed
that “strategic” is the most important component for commercial awareness, followed with “financial”
and “process”. However, the “financial” component is embedded the most in the curriculum. The most
important skill and attribute for commercial awareness development are “ability to define and solve
problems” and “ability and willingness to update professional knowledge”, respectively. Commercial
awareness was embedded in the overall curriculum and the key element for developing it is through
having “practical experience”.
Originality/value – This project is the first to conduct an in-depth analysis of commercial awareness
in real estate education. It also develops the pioneer commercial awareness taxonomy.
Keywords UK, Curriculum development, Commercial awareness, Curriculum enhancement,
Real estate education
Paper type Research paper

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Walking is a suitable activity for older adults and has physical and mental health benefits. To devise interventions that impact on levels of walking it is necessary to first understand the purposes for which people walk and the destinations to which they walk. Using a 7-day diary and accelerometry, this study investigated destinations and purposes of walking in older adult residents of an ultra-dense Asian city. Participants reported an average of 17.1 walking trips per week and total weekly accelerometer/diary determined trip walking time averaged 735 minutes per week, much higher than reported for older adults in non-Asian settings. The most common destinations were within the neighborhood: parks and streets for recreation walking and shops and eating places for transport-related walking. Errands and eating were the most common purposes for transportation trips. The study results can help inform urban design to encourage walking.

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The performance of curtain flow chromatography column technology with MS detection was evaluated for the analysis of labile compounds. The curtain flow column design allows for separations that are faster and/or more sensitive than conventional columns, depending on how exactly the curtain flow column is configured. For example, when mass spectral detection is employed, the curtain flow column can yield separations that are 5-times faster than conventional columns when the curtain flow and the conventional columns have the same internal diameter. Or when the internal diameter of the conventional column is reduced in order to yield the same analytical through-put as the curtain flow column, the sensitivity on the curtain flow column can be as much as 66-fold higher than the conventional column. As a consequence of the higher analytical through-put less standardization is required in the analysis of labile compounds because less sample degradation is apparent. Consequently the sample integrity is preserved yielding data of a higher quality.

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The maximum a posteriori assignment for general structure Markov random fields is computationally intractable. In this paper, we exploit tree-based methods to efficiently address this problem. Our novel method, named Tree-based Iterated Local Search (T-ILS), takes advantage of the tractability of tree-structures embedded within MRFs to derive strong local search in an ILS framework. The method efficiently explores exponentially large neighborhoods using a limited memory without any requirement on the cost functions. We evaluate the T-ILS on a simulated Ising model and two real-world vision problems: stereo matching and image denoising. Experimental results demonstrate that our methods are competitive against state-of-the-art rivals with significant computational gain.

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The in-depth case study explores the Australian seating service experience from four stakeholders’ perspectives. To capture essential case study data, a qualitative approach collected the seating service experiences of eleven consumers, five care providers, 28 prescribing clinicians and 16 vendors. Sixty participants shared their experiences via an in-depth interview process of procuring specialised wheelchair-seating technology within the Australian seating service sector. The in-depth interviews were recorded, transcribed, and member-checked. The interview data builds on scant evidence of the seating service as experienced in Australia.

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Background

Suicide and violence often co-occur in the general population as well as in mentally ill individuals. Few studies, however, have assessed whether these suicidal behaviors are predictive of violence risk in mental illness.

Aims

The aim of this study is to investigate whether suicidal behaviors, including suicidal ideation, threats, and attempts, are significantly associated with increased violence risk in individuals with schizophrenia.

Method

Data for these analyses were obtained from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) trial, a randomized controlled trial of antipsychotic medication in 1460 adults with schizophrenia. Univariate Cox regression analyses were used to calculate hazard ratios (HRs) for suicidal ideation, threats, and attempts. Multivariate analyses were conducted to adjust for common confounding factors, including: age, alcohol or drug misuse, major depression, antisocial personality disorder, depression, hostility, positive symptom, and poor impulse control scores. Tests of discrimination, calibration, and reclassification assessed the incremental predictive validity of suicidal behaviors for the prediction of violence risk.

Results

Suicidal threats and attempts were significantly associated with violence in both males and females with schizophrenia with little change following adjustment for common confounders. Only suicidal threats, however, were associated with a significant increase in incremental validity beyond age, diagnosis with a comorbid substance use disorder, and recent violent behavior.

Conclusions

Suicidal threats are independently associated with violence risk in both males and females with schizophrenia, and may improve violence risk prediction.

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Background: Since 2008, Australia has embarked on major healthcare reforms extending across all states and territories. Only limited evidence linking national healthcare reforms to improvement in public hospital performance exists. This evidence gap is even more pronounced in the case of remote hospital performance. This article describes a protocol retrospectively assessing a remote hospital programme to implement emergency department performance indicators, in the context of national reforms, over a period of 7 years (2008–2014). Challenges to implementing these reforms are explored.Method: Assessing the complex scenario of reform implementation requires an in-depth analysis, offered by a Realist Evaluation framework. Within this framework, a case study design is adopted to enable descriptive analysis. Interviews with key hospital stakeholders were followed by a literature review to identify a programme theory. The programme theory was articulated in the form of a preliminary context-mechanism-outcome configuration (CMOC). This theory will underlie further data collection, analysis, and interpretation. Both Realist Evaluation and case study allow flexibility in a choice of methods; both quantitative and qualitative methods will be incorporated. The thematic analysis will be employed to identify causal relationships and linkages in collected data.Discussion: Assembled data will be used to develop final CMOC patterns. The final CMOC will help in understanding the theory and mechanisms in use in the hospital.

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Introduction: Major health-care reforms have extended across all Australian public hospitals in recent years. Improving emergency department (ED) access has been a focus of these reforms.

Objective: This study evaluates how the national reforms have led to improvement in ED access in a regional hospital in remote Australia.Methods: Assessing a complex scenario such as national reforms and the challenges faced by the regional hospital to implement these reforms requires in-depth analysis. A realist evaluation theory-based approach was employed, allowing investigation of what, how, why, and for whom change occurred. A case study mixed methods design was adopted within the realist framework to answer these questions about change.

Results and Conclusion: The study identified moderate improvement in ED access as a result of the reforms (investment in infrastructure and workforce and the introduction of ED targets). Clinical leadership and support from management were essential for the improvement. Without ongoing investment and clinical redesign activities, however, sustainability of the improvement may prove difficult.