847 resultados para Investments. Infant Mortality. Socioeconomic Factors. Health Systems


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Objectives: Health policy directs the management of patients with chronic disease in a country, but evaluating nationwide policies is difficult, not least because of the absence of suitable comparators. This paper examines the management of patients with type 2 diabetes in two demographically comparable populations with different health care systems to see if this represents a viable approach to evaluation.

Methods: A secondary analysis of centralized prescribing databases for 2010 was undertaken to compare the levels and costs of care of patients with type 2 diabetes in Northern Ireland’s National Health Service (NHS) (NI, n = 1.8 million) which has structured care, financial incentives related to diabetes care and an emphasis on generic prescribing, with that of the Republic of Ireland (ROI, n = 4.3 million) where management of diabetes care is guided solely by clinical and other guidelines.

Results: The prevalence of treated type 2 diabetes was 3.59% in NI and 3.09% in ROI, but there were similar and high levels of prescribing of secondary cardiovascular medications. Medication costs per person for anti-diabetic, anti-obesity and cardiovascular medication were 46% higher in ROI than NI, due to differences in levels of generic prescribing.

Conclusions: These different health care systems appear to be producing similar levels of care for patients with type 2 diabetes, although at different levels of cost. The findings question the need for financial incentives in NI and highlight the large cost savings potentially accruing from a greater shift to generic prescribing in ROI. Cross-country comparison, though not without difficulties, may prove a useful adjunct to within-country analysis of policy impact.

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This work evaluates the efficiency position of the health system of each OECD country. It identifies whether, or not, health systems changed in terms of quality and performance after the financial crisis. The health systems performance was calculated by fixed-effects estimator and by stochastic frontier analysis. The results suggest that many of those countries that the crisis affected the most are more efficient than the OECD average. In addition, some of those countries even managed to reach the top decile in the efficiency ranking. Finally, we analyze the stochastic frontier efficiency scores together with other health indicators to evaluate the health systems’ overall adjustments derived from the crisis.

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La tribune de l'éditeur / Editor's Soapbox

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In this paper we introduce a parametric model for handling lifetime data where an early lifetime can be related to the infant-mortality failure or to the wear processes but we do not know which risk is responsible for the failure. The maximum likelihood approach and the sampling-based approach are used to get the inferences of interest. Some special cases of the proposed model are studied via Monte Carlo methods for size and power of hypothesis tests. To illustrate the proposed methodology, we introduce an example consisting of a real data set.

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Over the last few years, perceptions of the importance of eHealth have increased rapidly, together with the use of IS&T in the delivery of health and social services. Although “e” approaches to health and social services have much potential, they are not panaceas, and the use of new technologies in improving the efficiency and effectiveness of such systems cannot be considered in isolation from their wider context. eHealth systems remain complex socio-organisational systems and, as we will argue and illustrate through this case study, require that a balanced approach to feasibility and desirability analysis be taken.

The case study in this paper describes a feasibility study into the potential effectiveness of a smartdevice-based electronic data collection and payment system which was proposed for the provision of disability services. A key finding of the study was that the most significant impediment to such a system was the highly diffused, fragmented, interlocking organisational structure of the social service administration itself. Rather than raise issues specific to the implementation or diffusion of new technologies in designing e-health services, it raised issues associated with decision making and control in such an environment, and with the design of the underlying organisational system: for service provision, the level of detail required in the service data, and the locus of decision-making power among the stakeholders.

In our account we illustrate the existence of multiple, incommensurate but valid perceptions of the human service provision problem, and discuss the implications for developers or managers of information systems in the arena of e-health or governance. We examine this environment from sociological and information systems perspectives, and confirm the usefulness of socio-organisational approaches in understanding such contexts.

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The high-level sensitivity of medical information mandates stronger authentication and authorization mechanisms to be used in e-Health systems. This paper describes the design and implementation of certificate-based e-Health authentication and authorization architecture. This architecture was developed to authenticate e-Health professionals accessing shared clinical data among a set of affiliated health institutions based on peer-to- peer networks. The architecture had to accommodate specific medical data sharing and handling requirements, namely the security of professionals' credentials.

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Level 1 evidence for management of patients with stroke in a dedicated Stroke Care Unit (SCU) demonstrates improved outcomes by about 20%. It has been estimated that 21% of Australian hospitals provide an SCU and that these SCUs are mainly located in either metropolitan sites and/or in hospitals with more than 300 beds. To address equity issues related to access to SCUs, the National Stroke Foundation and the Australian Government undertook the National Stroke Units Program. One program outcome was the development of a conceptual model of acute stroke service delivery. The development process and initial evaluation of the model are described. Use of the model to increase capacity within the health care system to treat stroke is discussed.

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The relationship between emerging trends in healthcare systems and the consequent research priorities will be explored.

Governments and policy makers in developed countries are increasingly focused on the management of chronic disease, reflecting demographic changes and shifts in the burden of disease. Systems of quality improvement and reward are increasingly based on performance in chronic disease management. There is some evidence that countries with well-developed systems of primary care, such as Australia, achieve better health outcomes at less cost. In the past 15 years, almost all developed countries have undergone some type of health care reform. There has been a major focus on reducing costs; often involving shifting services from secondary to primary care. While there are few international comparisons, most suggest a complex relationship between the strength of primary care within the overall health services system and good performance, particularly with regard to lower costs of care and particularly relevant measures of health.

Aims for 21st century health systems
What, then, are the issues which are shaping contemporary general practice in developed countries? There are several imperatives: Safety, effectiveness, patient-centredness, timeliness, efficiency and equity. A study by the Nuffield Trust (Dargie, 1999) projected the shape of healthcare for the first fifteen years of this century. The study identified six issues that need to be addressed in the process of formulating health systems policies:

• Peoples’ expectations and financial sustainability
• Demography and ageing
• Information and knowledge management
• Scientific advance and new technology
• Workforce education and training
Systems performance and quality (efficiency, effectiveness, economy
and equity)

Each of these six issues requires innovative thinking and priority setting on the part of the health sector, such as the delivery of health services in new and creative ways. Furthermore, there is a clear need for a finely tuned research, development and evaluation strategies to match these goals.

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This study applies Granger causality tests within a multivariate error correction framework to examine the relationship between female participation rates, infant mortality rates and fertility rates for Australia using annual data from 1960 to 2000. Decomposition of variance and impulse response functions are also considered. The main findings are twofold. First, in the short run there is unidirectional Granger causality running from the fertility rate to female labour force participation and from the infant mortality rate to female labour force participation while there is neutrality between the fertility rate and infant mortality rate. Second, in the long run both the fertility rate and infant mortality rate Granger cause female labour participation.

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Objective: To compare the prevalence of arthritis among population groups based on demographic, socioeconomic, and body mass index (BMI) characteristics; to investigate the combined influence of these factors on arthritis; and to assess the relationship between self-reported health and psychological distress and arthritis.

Methods: Data from the Victorian Population Health Survey (n = 7,500) were used in the study. Psychological distress was assessed using the Kessler Psychological Distress scale, and self-reported health was assessed by a single item. Multiple logistic regression was used to investigate the combined influence of demographic and socioeconomic factors and BMI on arthritis.

Results: Overall, 23% of Victorian adults (20% men and 26% women) reported having arthritis. The presence of arthritis was associated with high psychological distress (odds ratio [OR] 1.2; 95% confidence interval [95% CI] 1.1-1.4) and poor self-reported health (OR 1.9; 95% CI 1.7-2.1). Increased prevalence of arthritis was found in older age groups, lower education and income groups, and in people who were overweight or obese. Women had higher risk of arthritis, even after adjustment for age, residence, education, occupation, income, and BMI. Age and BMI independently predicted arthritis for men and women. For men, higher risk of arthritis was also associated with lower income.

Conclusion: Arthritis is a highly prevalent condition associated with poor health and high psychological distress. Prevalence of arthritis is disproportionately high among women and individuals from lower socioeconomic backgrounds. As the prevalence of arthritis is predicted to increase, careful consideration of causal factors, and setting priorities for resource allocation for the treatment and prevention of arthritis are required.

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