13 research outputs found

    A Work Readiness Scale for Allied Health Graduates

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    Purpose: The transition for allied health graduates from university to the workforce has been perceived to be difficult and overwhelming, leading to early attrition within healthcare professions. Work readiness is a crucial aspect of successful transition to the workforce, however, the elements of work readiness are not clearly defined. The purpose of this project was to refine the measurement of work-readiness in allied health graduates. Method: A 62-item Work Readiness Scale for Allied Health Professionals (WRS-AH), based on a work readiness scale for a generic population of graduates, was validated and refined using an exploratory factor analysis. Results: Participants were 245 Australian allied health professional graduates who completed the WRS-AH. An exploratory factor analysis supported a four-factor solution with domains (interpersonal capabilities, practical wisdom, personal attributes, and organisational acumen) similar to the original WRS. The final WRS-AH32 had 32 items, demonstrated good reliability, and explained 38% of the total variance. Using the WRS-AH32, on average, the Australian allied health graduates reported an overall work readiness score of 80% (SD 8) with scores highest for practical wisdom (Mean 90%, SD 8) and lowest for personal attributes (Mean 65%, SD 14). Conclusions: The WRS-AH32 confirms that work readiness is a multi-dimensional construct, reflecting that work within a dynamic, 21st century healthcare system requires more than just profession specific work competence. The WRS-AH may provide a more targeted approach to interventions to improve work readiness in future allied health professional graduates. Recommendations: The WRS-AH32 is a reliable scale to measure the perceived work readiness of allied health graduates as they transition from university to the workforce however ongoing validation is needed to establish construct validity

    Soluble amyloid beta levels are elevated in the white matter of Alzheimer’s patients, independent of cortical plaque severity

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    Alzheimer’s disease (AD) is the most common neurodegenerative disease and the leading cause of dementia. In addition to grey matter pathology, white matter changes are now recognized as an important pathological feature in the emergence of the disease. Despite growing recognition of the importance of white matter abnormalities in the pathogenesis of AD, the causes of white matter degeneration are still unknown. While multiple studies propose Wallerian-like degeneration as the source of white matter change, others suggest that primary white matter pathology may be due, at least in part, to other mechanisms, including local effects of toxic Aβ peptides. In the current study, we investigated levels of soluble amyloid-beta (Aβ) in white matter of AD patients (n=12) compared with controls (n=10). Fresh frozen white matter samples were obtained from anterior (Brodmann area 9) and posterior (Brodmann area 1, 2 and 3) areas of post-mortem AD and control brains. ELISA was used to examine levels of soluble Aβ -42 and Aβ -40. Total cortical neuritic plaque severity rating was derived from individual ratings in the following areas of cortex: mid-frontal, superior temporal, pre-central, inferior parietal, hippocampus (CA1), subiculum, entorhinal cortex, transentorhinal cortex, inferior temporal, amygdala and basal forebrain. Compared with controls, AD samples had higher white matter levels of both soluble Aβ -42 and Aβ -40. While no regional white matter differences were found in Aβ -40, Aβ -42 levels were higher in anterior regions than in posterior regions across both groups. After statistically controlling for total cortical neuritic plaque severity, differences in both soluble Aβ -42 and Aβ -40 between the groups remained, suggesting that white matter Aβ peptides accumulate independent of overall grey matter fibrillar amyloid pathology and are not simply a reflection of overall amyloid burden. These results shed light on one potential mechanism through which white matter degeneration may occur in AD. Given that white matter degeneration may be an early marker of disease, preceding grey matter atrophy, understanding the mechanisms and risk factors that may lead to white matter loss could help to identify those at high risk and to intervene earlier in the pathogenic process

    The Role of Routine Laboratory Studies and Neuroimaging in the Diagnosis of Dementia: A Clinicopathological Study

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    OBJECTIVE: To determine the neuropathological diagnoses of longitudinally followed patients with potentially reversible causes of dementia and to examine the results of the “dementia work-up,” especially neuroimaging, by comparison with the pathological diagnosis. DESIGN: A neuropathologic series of 61 consecutive patients, with review of clinical, laboratory, neuroimaging, and pathological results. RESULTS: Of the 61 patients, forty-eight (79%) had a clinical diagnosis of probable or possible Alzheimer's disease (AD). Compared with the pathological diagnosis, the sensitivity and specificity of the clinical diagnosis of AD were 96% and 79%, respectively. Of the 61 patients, 9 had abnormal laboratory tests, the correction of which did not improve the subsequent course. These patients were found to have AD8 and frontotemporal dementia1 on pathology. In two patients, neuroimaging was helpful in the clinical diagnoses of frontotemporal dementia and progressive supranuclear palsy (PSP). Neuroimaging revealed cerebrovascular disease in 18 patients, only two of whom were suspected clinically. Pathology confirmed AD in 17 and PSP in 1 of these patients. Sensitivity and specificity for the clinical diagnosis of cerebrovascular disease in comparison with pathology were 6% and 98%, respectively. With the added information from neuroimaging, that sensitivity increased to 59% and specificity decreased to 81%. CONCLUSIONS: All cases with abnormal laboratory or neuroimaging results had AD or some other neurodegenerative disease on pathology. The “dementia work-up” did not reveal any reversible causes for dementia in this group of patients. Neuroimaging may have a role, especially in the diagnosis of possible AD with concomitant cerebrovascular disease
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