994 resultados para Occupational mortality


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This study describes the needs of universities in relation to planning the provision of occupational health services, by detailing their occupational hazards and risks and other relevant factors. The paper presents the results of (1) an enquiry into publicly available data relevant to occupational health in the university sector in the United Kingdom, (2) a literature review on occupational health provision in universities, and (3) selected results from a survey of university occupational health services in the UK. Although the enquiry and survey, but not the literature review, were restricted to the UK, the authors consider that the results are relevant to other countries because of the broad similarities of the university sector between countries. These three approaches showed that the university sector is large, with a notably wide range of occupational hazards, and other significant factors which must be considered in planning occupational health provision for individual universities or for the sector as a whole.

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Background There is wide, largely unexplained, variation in occupational health (OH) provision between UK employers.

Aim To explain the variation in OH provision across the UK university sector.

Methods Analyses of data from a survey of university OH services and from the Higher Education Statistics Agency. The outcome variable was clinical (doctor + nurse) staffing of the university's OH service. The explanatory variables examined were university size, income, research activity score and presence or absence of academic disciplines categorized by an expert panel as requiring a high level of OH provision.

Results All 117 UK universities were included and 93 (79%) responded; with exclusions and incomplete data, between 80 and 89 were included in analyses. There was wide variation in clinical OH staffing (range 0–8.4 full-time equivalents). Number of university staff explained 34% of the variation in OH staffing. After adjusting for other factors, neither the research activity nor the presence of high-needs disciplines appeared to be factors currently used by employers to determine their investment in OH.

Conclusions Government or other guidelines for university employers should take organizational size into account. Employers may need guidance on how to provide OH services proportionate to specific occupational hazards or other OH needs.

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Background Very few studies have been done of occupational health provision across an entire employment sector and universities are particularly understudied. The British government published updated guidance on university occupational health in 2006.

Aim To describe the occupational health services to all the universities in the UK.

Methods All 117 universities in the UK were included. Detailed surveys were carried out in 2002, 2003 and 2004 requesting self-completed information from each university occupational health service. This paper presents information on general characteristics of the service, staffing, services provided and outcome reporting.

Results There was variation in the type of occupational health provision; half the universities had an in-house occupational health service, 32% used a contractor, 9% relied on the campus primary care or student health service and 9% had ad hoc or no arrangements. In all, 93 of the 117 (79%) universities responded to the detailed questionnaire, the response rate being higher from in-house services and from larger universities. There was a wide variation in staffing levels but the average service was small, staffed by one full-time nurse with one half-day of doctor time per week and a part-time clerical or administrative member of staff. A range of services was provided but, again, there was wide variation between universities.

Conclusions It is unclear if the occupational health provision to universities is proportional to their needs. The wide variation suggests that some universities may have less adequate services than others.

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Background To develop quality scales for occupational health services (OHSs) and describe and explain variation in quality across the UK university sector.

Methods Analysis of data from a national survey, to which 93 of 117 (79%) UK universities responded, and from the Higher Education Statistics Agency. Two quality scales were generated, one from the 1985 International Labour Organization recommendations on OHSs and one from clinicians’ perceptions (good, adequate, poor) about their OHS. The determinants examined were number of university staff, type of OHS (in-house, contracted, none/other), number of full-time equivalent occupational health doctors and nurses and OHS leadership (doctor, nurse, other).

Results There was wide variation in quality and a correlation (r = 0.65) between scales. In-house service, increasing service size and leadership by a doctor or nurse were determinants of higher quality; size of the university was not statistically significant after taking account of these factors.

Conclusions Some university OHSs may not be structured or operated to promote the highest quality of service. Inspection of individual quality scale items may be informative. These scales may be applicable in other employment sectors.

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Occupational health services can make a valuable contribution to the performance of HEIs, yet a pilot study in 1999 suggested that occupational health provision in the HE sector lags behind other sectors, with some noticeable gaps. This project will:

* survey all UK HEIs to establish a baseline and identify examples of good practice in occupational health provision
* disseminate benchmarking information and case studies
* establish a collaborative network to encourage the development, sharing and implementation of recognised good practice and ensure the sustainability of improvements resulting from the project
* evaluate the outcomes of the above work.

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The second of three surveys of occupational health provision in UK higher education institutions was carried out in March 2003.

Information was collected on occupational health provision arrangements for all 193 members of UUK, other HEIs funded by HEFCE, constituent parts of the University of London and the University of Wales, and degree awarding bodies in the UK. There was a wide variety of arrangements. Thirty-eight percent had in-house services, 33% contracted with external providers for occupational health services, 13% made use of a local general practice or student health service, 6% had other or ad hoc arrangements and 9% had no occupational health service.

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Background--Diabetes mellitus increases the risk of cardiovascular disease (CVD) and all-cause mortality. The relationship between milder elevations of blood glucose and mortality is less clear. This study investigated whether impaired fasting glucose and impaired glucose tolerance, as well as diabetes mellitus, increase the risk of all-cause and CVD mortality.

Methods and Results
--In 1999 to 2000, glucose tolerance status was determined in 10 428 participants of the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). After a median follow-up of 5.2 years, 298 deaths occurred (88 CVD deaths). Compared with those with normal glucose tolerance, the adjusted all-cause mortality hazard ratios (HRs) and 95% confidence intervals (CIs) for known diabetes mellitus and newly diagnosed diabetes mellitus were 2.3 (1.6 to 3.2) and 1.3 (0.9 to 2.0), respectively. The risk of death was also increased in those with impaired fasting glucose (HR 1.6, 95% CI 1.0 to 2.4) and impaired glucose tolerance (HR 1.5, 95% CI 1.1 to 2.0). Sixty-five percent of all those who died of CVD had known diabetes mellitus, newly diagnosed diabetes mellitus, impaired fasting glucose, or impaired glucose tolerance at baseline. Known diabetes mellitus (HR 2.6, 95% CI 1.4 to 4.7) and impaired fasting glucose (HR 2.5, 95% CI 1.2 to 5.1) were independent predictors for CVD mortality after adjustment for age, sex, and other traditional CVD risk factors, but impaired glucose tolerance was not (HR 1.2, 95% CI 0.7 to 2.2).

Conclusions--This study emphasizes the strong association between abnormal glucose metabolism and mortality, and it suggests that this condition contributes to a large number of CVD deaths in the general population. CVD prevention may be warranted in people with all categories of abnormal glucose metabolism.

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Aims/hypothesis We assessed whether the relationships between insulin sensitivity and all-cause mortality as well as fatal or non-fatal cardiovascular disease (CVD) events are independent of elevated blood glucose, high blood pressure, dyslipidaemia and body composition in individuals without diagnosed diabetes.
Methods
Between 1999 and 2000, baseline fasting insulin, glucose and lipids, 2 h plasma glucose, HbA1c, anthropometrics, blood pressure, medication use, smoking and history of CVD were collected from 8,533 adults aged >35 years from the population-based Australian Diabetes, Obesity and Lifestyle study. Insulin sensitivity was estimated by HOMA of insulin sensitivity (HOMA-%S). Deaths and fatal or non-fatal CVD events were ascertained through linkage to the National Death Index and medical records adjudication.
Results
After a median of 5.0 years there were 277 deaths and 225 CVD events. HOMA-%S was not associated with all-cause mortality. Compared with the most insulin-sensitive quintile, the combined fatal or non-fatal CVD HR (95% CI) for quintiles of decreasing HOMA-%S were 1.1 (0.6–1.9), 1.4 (0.9–2.3), 1.6 (1.0–2.5) and 2.0 (1.3–3.1), adjusting for age and sex. Smoking, CVD history, hypertension, lipid-lowering medication, total cholesterol and waist-to-hip ratio moderately attenuated this relationship. However, the association was rendered non-significant by adding HDL. Fasting plasma glucose, but not HOMA-%S significantly improved the prediction of CVD, beyond that seen with other risk factors.
Conclusions/interpretation In this cohort, HOMA-%S showed no association with all-cause mortality and only a modest association with CVD events, largely explained by its association with HDL. Fasting plasma glucose was a better predictor of CVD than HOMA-%S.

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Aim: This study aimed to investigate the perception of graduate students on their preparation for practice, at 7 months post graduation.
Method: Using an anonymous postal questionnaire, 18 respondents (58% response rate) provided data on the nature of current employment, the experience as a graduate therapist, and perceptions of their undergraduate experience in preparing them for practice.
Results: Fifty percent of the respondents were practising in a rural environment. There was a significant positive relationship between respondents perception of their curriculum and fieldwork experiences and their preparation for practice (rho = 0.52, p < 0.05, and rho = 0.55, p < 0.05, respectively). Of the fieldwork experiences, respondents rated block placements as more beneficial to practice than non-traditional placements. However, a correlational analysis showed the non-traditional placement was significantly related to preparation for practice (rho = 0.54, p < 0.05). On a sevenpoint Likert scale, respondents rated themselves from 5.2 to 5.7 for perceived self-competence as a newly graduated practitioner with community-based graduates having the higher rating. Confidence in clinical decision-making was rated 5.0 to 5.6 with community-based graduates having higher rating. Respondents reported a positive perception that the undergraduate program prepared them to enter the workforce and practise as an occupational therapist (mean ratings 5.5 to 6.2).
Conclusion: Respondents felt adequately prepared to enter the occupational therapy profession and workforce. Strengths and weaknesses in their preparation are discussed as well as the need for further research.

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This thesis reports on a quantitative exposure assessment and on an analysis of the attributes of the data used in the estimations, in particular distinguishing between its uncertainty and variability. A retrospective assessment of exposure to benzene was carried out for a case control study of leukaemia in the Australian petroleum industry. The study used the mean of personal task-based measurements (Base Estimates) in a deterministic algorithm and applied factors to model back to places, times etc for which no exposure measurements were available. Mean daily exposures were estimated, on an individual subject basis, by summing the task-based exposures. These mean exposures were multiplied by the years spent on each job to provide exposure estimates in ppm-years. These were summed to provide a Cumulative Estimate for each subject. Validation was completed for the model and key inputs. Exposures were low, most jobs were below TWA of 5 ppm benzene. Exposures in terminals were generally higher than at refineries. Cumulative Estimates ranged from 0.005 to 50.9 ppm-years, with 84 percent less than 10 ppm-years. Exposure probability distributions were developed for tanker drivers using Monte Carlo simulation of the exposure estimation algorithm. The outcome was a lognormal distribution of exposure for each driver. These provide the basis for alternative risk assessment metrics e.g. the frequency of short but intense exposures which provided only a minimal contribution to the long-term average exposure but may increase risk of leukaemia. The effect of different inputs to the model were examined and their significance assessed using Monte Carlo simulation. The Base Estimates were the most important determinant of exposure in the model. The sources of variability in the measured data were examined, including the effect of having censored data and the between and within-worker variability. The sources of uncertainty in the exposure estimates were analysed and consequential improvements in exposure assessment identified. Monte Carlo sampling was also used to examine the uncertainties and variability associated with the tanker drivers' exposure assessment, to derive an estimate of the range and to put confidence intervals on the daily mean exposures. The identified uncertainty was less than the variability associated with the estimates. The traditional approach to exposure estimation typically derives only point estimates of mean exposure. The approach developed here allows a range of exposure estimates to be made and provides a more flexible and improved basis for risk assessment.

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The aim of this thesis is to develop a framework to evaluate the relative performance of different types of health and safety management system. This objective is an analytical one, but it stems from a policy issue of public importance. Over the past decade Australia, like other countries, has seen the emergence and growth of interest in developing health and safety management systems. But are they all the same, and if not, do they differ in their effectiveness? The thesis does not seek to give a definitive answer to these questions. Given the novelty of the phenomenon and the lack of research on this subject, the research is exploratory. An hypothesis about the effectiveness of different health and safety management systems is developed rather than tested. The thesis proceeds by first defining health and safety management systems as a combination of the planning and review, the management arrangements, the consultative arrangements and the specific program elements that work together in an integrated way to improve health and safety performance. A research procedure is described involving twenty exploratory case studies. The thesis then - develops - from the literature and the case study research - an analytical framework to evaluate the performance of different health and safety management systems. That framework has two parts. First is a typology of health and safety management systems. This is constructed from two distinctions - between 'safe place' and 'safe person' approaches to health and safety; and between 'innovative' and traditional' management methods and structures. These distinctions yield four types of system. The typology was applied to the case studies which yielded a reasonable fit in most instances. The second part of the framework is a 'process evaluation' technique akin to Quality standards. Derived from the Victorian SafetyMAP audit criteria, the "e;process evaluation tool "e; is preferred to traditional outcome measures such as incident or claim rates. Using this measure, the twenty case study enterprises were classified as above average, average or below average in performance. These results correlated poorly with traditional incident trend and benchmark measures. The two elements of the framework are then combined to explore the relationship between the different types of system and their performance. Evidence from the twenty case studies showed a tendency for innovative/safe place firms to perform better than traditional/safe person firms. This finding can form the basis for a hypothesis that may be subject to statistical testing on a generalisable sample. In addition five 'best practice' cases were selected and subjected to a cross case analysis to search for common characteristics that might explain their performance. This analysis suggests the importance of a number of factors: senior managers who drive health and safety change and mobilise all possible resources in the pursuit of change; health and safety representatives who work with managers in a 'joint regulatory relationship' across system activities; the involvement of employees more generally, but not as a substitute for action by managers and health and safety representatives; a comprehensive approach to elimination of all hazards; and the introduction of innovative programs to continually improve systems and facilitate employee involvement in health and safety.

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Body condition scoring is widely used for sheep and cattle but the practice is included in only one Code of Practice for the welfare of goats in Australia. There is no published scientific evidence to support or defend its use in the assessment of welfare risks to farmed goats.

PROCEDURE: The significance of stocking rate, grazing system, body condition score (CS) and live weight were investigated in explaining the risk of mortality of individual and flocks of grazing Angora goats from hypothermia following a severe weather event in April. This event occurred 5 weeks after shearing the goats. Angora goats and Saxon Merino sheep were grazed alone, or mixed together in equal numbers at each of three stocking rates.

RESULTS: There was no mortality amongst Angora goats provided they grazed at the lowest stocking rate even when their CS was < or = 2.0. Mortality in flocks of Angora goats was most related to the CS reached during the preceding 2 months. For flocks of Angora goats there was no mortality at CS > or = 2.5 and mortality increased sharply at mean CS < 2.0. For individual Angora goats, mortality increased as CS declined and stocking rate and grazing combinations were additive in effect on mortality. Grazing with sheep increased mortality of Angora goats at higher stocking rates. The individual goat mortality rate was not dependent on individual plot effects suggesting that these results are applicable widely. Live weight loss was not related to mortality rates of goats once CS had been accounted for.
CONCLUSION: It was concluded that CS and stocking rate were highly significant determinants of welfare risk in Angora goats.