计量经济分析 = Econometric analysis

With digital equipment becoming increasingly networked, either on wired or wireless networks, for personal and professional use alike, distributed software systems have become a crucial element in information and communications technologies. The study of these systems forms the core of the ARLES' work, which is specifically concerned with defining new system software architectures, based on the use of emerging networking technologies. In this context, we concentrate on the study of distributed systems which bring to life the vision of ubiquitous computing systems, also known as ambient intelligence.

반도체 공정 overview

Alzheimer disease (AD) is the most common form of neurodegenerative disease, estimated to contribute 60–70% of all cases of dementia worldwide. According to the prevailing amyloid cascade hypothesis, amyloid-β (Aβ) deposition in the brain is the initiating event in AD, although evidence is accumulating that this hypothesis is insufficient to explain many aspects of AD pathogenesis. The discovery of increased levels of inflammatory markers in patients with AD and the identification of AD risk genes associated with innate immune functions suggest that neuroinflammation has a prominent role in the pathogenesis of AD. In this Review, we discuss the interrelationships between neuroinflammation and amyloid and tau pathologies as well as the effect of neuroinflammation on the disease trajectory in AD. We specifically focus on microglia as major players in neuroinflammation and discuss the spatial and temporal variations in microglial phenotypes that are observed under different conditions. We also consider how these cells could be modulated as a therapeutic strategy for AD. Accumulating evidence indicates important roles for microglial activation and neuroinflammation in Alzheimer disease (AD). Here, Leng and Edison describe the interplay between microglial activation and AD-related pathologies and discuss how microglial priming and activation might influence the trajectory of AD.

Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here?

The Spirit Level. Why Equality is Better for Everyone

Socioeconomic status (SES) has a measurable and significant effect on cardiovascular health Biological, behavioral, and psychosocial risk factors prevalent in disadvantaged individuals accentuate the link between SES and cardiovascular disease (CVD) Four measures have been consistently associated with CVD in high-income countries: income level, educational attainment, employment status, and neighborhood socioeconomic factors In addition, disparities based on sex have been shown in several studies Interventions targeting patients with low SES have predominantly focused on modification of traditional CVD risk factors Promising approaches are emerging that can be implemented on an individual, community, or population basis to reduce disparities in outcomes Structured physical activity has demonstrated effectiveness in low-SES populations, and geomapping may be used to identify targets for large-scale programs Task shifting, the redistribution of healthcare management from physician to nonphysician providers in an effort to improve access to health care, may have a role in select areas Integration of SES into the traditional CVD risk prediction models may allow improved management of individuals with high risk, but cultural and regional differences in SES make generalized implementation challenging Future research is required to better understand the underlying mechanisms of CVD risk that affect individuals of low SES and to determine effective interventions for patients with high risk We review the current state of knowledge on the impact of SES on the incidence, treatment, and outcomes of CVD in high-income societies and suggest future research directions aimed at the elimination of these adverse factors, and the integration of measures of SES into the customization of cardiovascular treatment

Socioeconomic Status and Cardiovascular Outcomes: Challenges and Interventions.

Understanding patterns and identifying common clusters of chronic diseases may help policymakers, researchers, and clinicians to understand the needs of the care process better and potentially save both provider and patient time and cost. However, only limited research has been conducted in this area, and ambiguity remains as those limited previous studies used different approaches to identify common clusters and findings may vary with approaches. This study estimates the prevalence of common chronic diseases and examines co-occurrence of diseases using four approaches: (i) identification of the most occurring pairs and triplets of comorbid diseases; performing (ii) cluster analysis of diseases, (iii) principal component analysis, and (iv) latent class analysis. Data were collected using a questionnaire mailed to a cross-sectional sample of senior Australians, with 4574 responses. Eighty-two percent of respondents reported having at least one chronic disease and over 52% reported having at least two chronic diseases. Respondents suffering from any chronic diseases had an average of 2.4 comorbid diseases. Three defined groups of chronic diseases were identified: (i) asthma, bronchitis, arthritis, osteoporosis and depression; (ii) high blood pressure and diabetes; and (iii) cancer, with heart disease and stroke either making a separate group or “attaching” themselves to different groups in different analyses. The groups were largely consistent across the approaches. Stability and sensitivity analyses also supported the consistency of the groups. The consistency of the findings suggests there is co-occurrence of diseases beyond chance, and patterns of co-occurrence are important for clinicians, patients, policymakers and researchers. Further studies are needed to provide a strong evidence base to identify comorbid groups which would benefit from appropriate guidelines for the care and management of patients with particular disease clusters.

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Multimorbidity and comorbidity of chronic diseases among the senior Australians: prevalence and patterns.

Background: In an effort to control non-medical use and/or medical abuse of prescription drugs, particularly prescription opioids, electronic prescription drug monitoring programs (PDMP) have been introduced in North-American countries, Australia and some parts of Europe. Paradoxically, there are simultaneous pressures to increase opioid prescribing for the benefit of individual patients and to reduce it for the sake of public health, and this pressure warrants a delicate balance of appropriate therapeutic uses of these drugs with the risk of developing dependence. This article discusses pros and cons of PDMP in reducing diversion of prescription opioids, without hampering access to those medications for those with genuine needs, and highlights tensions around PDMP implementation. Discussion: PDMPs may help alleviate diversion, over-prescription and fraudulent prescribing/dispensing; prompt drug treatment referrals; avoid awkward drug urine test; and inform spatial changes in prescribing practices and help designing tailored interventions. Fear of legal retribution, privacy and data security, potential confusion about addiction and pseudo-addiction, and potential undue pressure of detecting misuse/diversion - are the major problems. There are tensions about unintended consequence of excessive regulatory enforcements, corresponding collateral damages particularly about inadequate prescribing for patients with genuine needs, and mandatory consultation requirements of PDMP. Summary: In this era of information technology PDMP is likely to flourish and remain with us for a long time. A clear standard of practice against which physicians’ care will be judged may expedite the utilisation of PDMP. In addition, adequate training on addiction and pain management along with public awareness, point-of-supply data entry from pharmacy, point-of-care real-time access to data, increasing access to addiction treatment and appropriate regulatory enforcement preferably through healthcare administration, together, may help remove barriers to PDMP use.

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An inevitable wave of prescription drug monitoring programs in the context of prescription opioids: pros, cons and tensions

Most older Australians have at least one chronic health condition. The management of chronic disease is associated with potentially severe economic consequences for patients and their households, partially due to the financial burden associated with out-of-pocket costs for medical and health-related care. A questionnaire was mailed to a cross-sectional sample of older Australians in mid-2009, with 4574 responding. Multivariate logistic regression models were developed to investigate the relationships between multimorbidity and out-of-pocket spending on medical and health-related expenses, including the factors associated with severe financial stress among older Australians. We found a positive relationship between number of chronic conditions and out-of-pocket spending on health and that people with multiple chronic conditions tend to be on lower incomes. People with five or more chronic conditions spent on average five times as much on their health as those with no diagnosed chronic conditions and each additional chronic disease added 46% to the likelihood of a person facing a severe financial burden due to health costs.

Multimorbidity is associated with higher out-of-pocket spending: a study of older Australians with multiple chronic conditions

Surveys of GPs are essential to facilitate future planning and delivery of health services. However, recruitment of GPs into research has been disappointing with response rates declining over recent years. This study identified factors that facilitated or hampered GP recruitment in a recent survey of Australian GPs where a range of strategies were used to improve recruitment following poor initial responses. GP response rates for different stages of the survey were examined and compared with reasons GPs and leaders of university research networks cited for non-participation. Poor initial response rates were improved by including a questionnaire in the mail-out, changing the mail-out source from an unknown research team to locally known network leaders, approaching a group of GPs known to have research and training interests, and offering financial compensation. Response rates increased from below 1% for the first wave to 14.5% in the final wave. Using a known and trusted network of professionals to endorse the survey combined with an explicit compensation payment significantly enhanced GP response rates. To obtain response rates for surveys of GPs that are high enough to sustain external validity requires an approach that persuades GPs and their gatekeepers that it is worth their time to participate.

Recruiting general practitioners for surveys: reflections on the difficulties and some lessons learned.

Little is known about the time spent on specific health related activities by older adult informal carers who assist people with chronic illness. Research has not yet addressed the association between carer health status and their care demands. Such information could inform policy and health system efforts to manage chronic illness. We conducted an Australia wide survey using recall questionnaires to record time use. The study asked how much time is spent on “most days” for the most common activities like taking medication, self-treatment and testing, and how much time in the last month on less common activities like attending a physician or shopping associated with health needs. The survey was mailed to 5,000 members of National Seniors Australia; 2,500 registrants on the National Diabetes Services Scheme; and 3,100 members of the Australian Lung Foundation. A total of 2519 people responded, including 313 people who identified as informal carers. Statistical analysis was undertaken using Stata 11. Standard errors and confidence intervals were derived using bootstrapping techniques within Stata 11. Most carers (96.2%) had chronic illness themselves, and those with greater numbers of chronic illnesses were those who faced the greatest overall time demands. The top decile of carers devoted between 8.5 and 10 hours a day to personal and caring health related activities. Informal carers with chronic illness spent more time managing their own health than people with chronic illness who were not informal carers. These carers spent more time on caring for others than on caring for their own health. High levels of caring responsibility were associated with poorer reported carer health. Policy and health care services will need to adapt to recognise and reduce the time burden on carers who themselves have chronic illness. More carefully targeted investment in the social infrastructure of formal care would free up carers for other activities (including their own care) and holds the potential to improve the quality of life as well as the health outcomes of this population.

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Ian McRae

Papers

Multimorbidity and comorbidity of chronic diseases among the senior Australians: prevalence and patterns.

An inevitable wave of prescription drug monitoring programs in the context of prescription opioids: pros, cons and tensions

Multimorbidity is associated with higher out-of-pocket spending: a study of older Australians with multiple chronic conditions

Recruiting general practitioners for surveys: reflections on the difficulties and some lessons learned.

Time to care? Health of informal older carers and time spent on health related activities: an Australian survey