935 resultados para meaningful use


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Purpose To determine the prescribed drug-utilisation pattern for six common chronic conditions in adult South Africans in a cross-sectional survey. Methods 13 826 randomly selected participants, 15 years and older, were surveyed by trained fieldworkers at their homes in 1998. Questionnaires included socio-demographic, chronic-disease and drug-use data. The prescribed drugs were recorded from participants' medication containers. The Anatomical Therapeutic Classification (ATC) code of the drugs for tuberculosis (TB), diabetes, hypertension, hyperlipidaemia, other atherosclerosis-related conditions, such as heart conditions or cerebrovascular accidents (CVA), and asthma or chronic obstructive pulmonary disease (COPD), was recorded. The use of logistic regression analyses identified the determinants of those patients who used prescription medication for these six conditions. Results 18.4% of the women and 12.5% of the men used drugs for the six chronic conditions. Men used drugs most frequently for hypertension (50.9%) and asthma or chronic bronchitis (24.3%), while in women it was for hypertension (59.9%) and diabetes (17.5%). The logistic regression analyses showed that women, wealthier and older people, and those with medical insurance used these chronic-disease drugs more frequently compared to men, younger or poor people, or those without medical insurance. The African population group used these drugs less frequently than any other ethnic group. The inappropriate use of methyldopa was found for 14.8% of all antihypertensive drugs, while very few people used aspirin. Conclusions The methodology of this study provides a means of ascertaining the chronic-disease drug-utilisation pattern in national health surveys. The pattern described, suggests an inequitable use of chronic-disease drugs and inadequate use of some effective drugs to control the burden of chronic diseases in South Africa. Copyright © 2004 John Wiley & Sons, Ltd.

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Objective To determine smoking patterns in South Africa, and to identify groups requiring culturally appropriate smoking cessation programmes. Methods A random sample of 13 826 people (415 years), was interviewed to identify tobacco use patterns and respiratory symptoms. Peak expiratory flow rates were measured. Multinomial regression analyses identified sociodemographic factors related to tobacco use, and the latter’s association with respiratory conditions. Results In 1998, 24.6% adults (44.2% of males and 11.0% of females) smoked regularly. Coloured women had a higher rate (39%) than African women (5.4%). About 24% of the regular smokers had attempted to quit, with only 9.9% succeeding. African women (13.2%) used smokeless tobacco more frequently than others. Of the nonsmokers 28% and 19% were exposed to environmental tobacco smoke in their homes and workplaces, respectively. The regression analysis showed that the demographic characteristics of light smokers (1–14 tobacco equivalents per day) and heavy smokers (>=15 tobacco equivalents per day) differed. Light smoking occurred significantly more frequently in the poorest, least educated and urban people. The relative risk for light smoking was 18 in Coloured women compared with African women. Heavy smoking occurred most frequently in the highest educated group. A dose–response was observed between the amount smoked and the presence of respiratory diseases. Conclusions Smoking in South Africa is decreasing and should continue with the recently passed tobacco control legislation. Culturally appropriate tobacco cessation programmes for the identified target groups need to be developed.

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Background We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) to estimate the burden of disease attributable to mental and substance use disorders in terms of disability-adjusted life years (DALYs), years of life lost to premature mortality (YLLs), and years lived with disability (YLDs). Methods For each of the 20 mental and substance use disorders included in GBD 2010, we systematically reviewed epidemiological data and used a Bayesian meta-regression tool, DisMod-MR, to model prevalence by age, sex, country, region, and year. We obtained disability weights from representative community surveys and an internet-based survey to calculate YLDs. We calculated premature mortality as YLLs from cause of death estimates for 1980–2010 for 20 age groups, both sexes, and 187 countries. We derived DALYs from the sum of YLDs and YLLs. We adjusted burden estimates for comorbidity and present them with 95% uncertainty intervals. Findings In 2010, mental and substance use disorders accounted for 183·9 million DALYs (95% UI 153·5 million–216·7 million), or 7·4% (6·2–8·6) of all DALYs worldwide. Such disorders accounted for 8·6 million YLLs (6·5 million–12·1 million; 0·5% [0·4–0·7] of all YLLs) and 175·3 million YLDs (144·5 million–207·8 million; 22·9% [18·6–27·2] of all YLDs). Mental and substance use disorders were the leading cause of YLDs worldwide. Depressive disorders accounted for 40·5% (31·7–49·2) of DALYs caused by mental and substance use disorders, with anxiety disorders accounting for 14·6% (11·2–18·4), illicit drug use disorders for 10·9% (8·9–13·2), alcohol use disorders for 9·6% (7·7–11·8), schizophrenia for 7·4% (5·0–9·8), bipolar disorder for 7·0% (4·4–10·3), pervasive developmental disorders for 4·2% (3·2–5·3), childhood behavioural disorders for 3·4% (2·2–4·7), and eating disorders for 1·2% (0·9–1·5). DALYs varied by age and sex, with the highest proportion of total DALYs occurring in people aged 10–29 years. The burden of mental and substance use disorders increased by 37·6% between 1990 and 2010, which for most disorders was driven by population growth and ageing. Interpretation Despite the apparently small contribution of YLLs—with deaths in people with mental disorders coded to the physical cause of death and suicide coded to the category of injuries under self-harm—our findings show the striking and growing challenge that these disorders pose for health systems in developed and developing regions. In view of the magnitude of their contribution, improvement in population health is only possible if countries make the prevention and treatment of mental and substance use disorders a public health priority.

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This study presents the results of the first large scale survey of Australian builders’ beliefs about prefabrication, drawing on 454 surveys completed by representatives of building companies in Queensland and Western Australia. Previous literature has identified a number of broad themes affecting the uptake of prefabrication. The current study builds on this work by using a structured theoretical model based on the Theory of Planned Behaviour (TPB) and the Technology Acceptance Model (TAM), to further explore the specific factors influencing builders’ intentions to increase their use of prefabrication. Information was gathered concerning the characteristics of respondents in addition to three aims. The aims were: (1) To identify the relative importance of a number of key factors which may affect builders’ use of prefabrication, (2) To compare the characteristics of builders using various levels of prefabrication (including none), and; (3) To determine if a model based on the TPB, TAM, and other control variables can explain builders’ intentions to adopt prefabrication on their housing projects.

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Objective: This study assessed 12-month service use patterns among people with psychotic disorders and sought to identify determinants of service use. Methods: As part of a large two-phase Australian study of psychotic disorders, structured interviews were conducted with a stratified random sample of adults who screened positive for psychosis. Demographic characteristics, social functioning, symptoms, mental health diagnoses, and use of psychiatric and nonpsychiatric services were assessed. Data were analyzed for 858 persons who had an ICD-10 diagnosis of a psychotic disorder and who had been hospitalized for less than six months during the previous year. Results: People with psychotic disorders had high levels of use of health services, both in absolute terms and relative to people with nonpsychotic disorders. Those with psychotic disorders were estimated to have an average of one contact with health services per week. Use of psychiatric inpatient services was associated with parenthood, higher symptom levels, recent attempts at suicide or self-harm, personal disability, medication status, and frequency of alcohol consumption. Services provided by general practitioners (family physicians) were more likely to be obtained by older people, women, people with greater availability of friends, those with fewer negative symptoms, and those whose service needs were unmet by other sources. People who were high users of health services also reported having more contact with a range of non-health agencies. Conclusions: The predictors of service use accounted for small proportions of the variance in overall use of health services. The role of general practitioners in providing and monitoring treatment programs and other psychosocial interventions needs to be acknowledged and enhanced.

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Australian charities are facing increased public scrutiny of their financial reports, which must now be submitted to the national regulator, the Australian Charities and Not-for-profits Commission. Some may wish to use reports to create so-called 'fundraising efficiency league tables'. This article seeks to provide a description of current best practice in fundraising financial reporting by examining annual reports that have been recognised with industry awards. We find a wide variation in how terms have been used, with no patterns discernible. Moreoever, reporting is influenced by regulatory requirements in the relevant jurisdiction, which differ substantially. It is unlikely that league tables will be meaningful if constructed from charities' current annual financial statements.

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Aggressive driving has been associated with engagement in other risky driving behaviours, such as speeding; while drivers using their mobile phones have an increased crash risk, despite the tendency to reduce their speed. Research has amassed separately for mobile phone use and aggressive driving among younger drivers, however little is known about the extent to which these behaviours may function independently and in combination to influence speed selection behaviour. The main aim of the current study was to investigate the effect of driver aggression (measured by the Driving Anger Expression Inventory) and mobile phone use on speed selection by young drivers. The CARRS-Q advanced driving simulator was used to test the speed selection of drivers aged 18 to 26 years (N = 32) in a suburban (60kph zone) driving context. A 2 (level of driving anger expression: low, high) X 3 (mobile phone use condition: baseline, hands-free, hand-held) mixed factorial ANOVA was conducted with speed selection as the dependent variable. Results revealed a significant main effect for mobile phone use condition such that speed selection was lowest for the hand-held condition and highest for the baseline condition. Speed selection, however, was not significantly different across the levels of driving anger expression; nor was there a significant interaction effect between the mobile phone use and driving anger expression. As young drivers are over-represented in road crash statistics, future research should further investigate the combined impact of driver aggression and mobile phone use on speed selection.