931 resultados para 321215 Health Care Administration


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 This study adds significantly to the current paucity of knowledge around men's health in Australian primary care and in particular stresses the need for men's health care education to be more reliable and systematic foundation for men's sexual health, mental health and health promotion.

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OBJECTIVE: Quality of health care (QoC) and self-efficacy may affect self-management of diabetes, but such effects are not well understood. We examined the indirect role of diabetes-specific self-efficacy (DSE) and generalised self-efficacy (GSE) in mediating the cross-sectional relationship between self-reported QoC and diabetes self-management.

DESIGN: Diabetes MILES-Australia was a national survey of 3,338 adults with diabetes. We analysed data from 1,624 respondents (Age: M=52.1, SD=13.9) with type 1 (T1D; n=680) or type 2 diabetes (T2D; n=944), who responded to a version of the survey containing key measures.

MAIN OUTCOME MEASURES: Self-reported healthy eating, physical activity, self-monitoring of blood glucose frequency, HbA1c, medication/insulin adherence. RESULTS: We used Preacher and Hayes' bootstrapping method, controlling for age, gender and diabetes duration, to test mediation of DSE and GSE on the relationship of QoC with each self-management variable. We found statistically significant but trivial mediation effects of DSE and of GSE on most, but not all, variables (all effect sizes <0.06).

CONCLUSION: Support for mediation was weak, suggesting that relationships amongst these variables are small and that future research might explore other aspects of self-management in diabetes.

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Personality disorder (PD), outcomes of diverse comorbid physical health conditions, and the associated burden on health service resources have seldom been studied at a population level. Consequently, there is limited evidence that might inform a public health approach to managing PD and associated mental and physical disability. A review was conducted of population-based studies examining the prevalence of PD and associations between physical comorbidities and service utilization. The prevalence of any PDs were common (4.4% -21.5%) among populations spanning England, Wales, Scotland, Western Europe, Norway, Australia, and the United States. Preliminary evidence supports associations between PDs from Clusters A and B and physical comorbidities, namely cardiovascular diseases and arthritis. PD appears to increase health care utilization, particularly in primary care. In order to facilitate rational population health planning, further population studies are required.

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This paper provides a review of recent developments in population-based approaches to community health and explores the origins of the population health concept and its implications for the operation of health service management. There is a growing perception among health professionals that the key to improving health outcomes will be the implementation of integrated and preventive population-based resource management rather than investment in systems that respond to crises and health problems at the acute end of the service provision spectrum only. That is, we will need increasingly to skew our community health and welfare investments towards preventive care, education, lifestyle change, self-management and environmental improvement if we are to reduce the rate of growth in the incidence of chronic disease and mitigate the impact of these diseases upon the acute health care system. While resources will still need to be devoted to the treatment and management of physical trauma, infectious diseases, inherited illness and chronic conditions, it is suggested we could reduce the rate at which demand for these services is increasing at present by managing our environment and communities better, and through the implementation of more effective early intervention programs across particular population groups. Such approaches are known generally as population health management, as opposed to individual or illness - based health management' or even public health - and suggest that health systems might productively focus in the future on population level causation and not just upon disease-specific problems or illness management after the fact. Population health approaches attempt to broaden our understanding of causation and manage health through an emphasis on the health of whole populations and by building healthy communities rather than seeing "health care" as predominantly about illness management or responses to health crises. The concept also presupposes the existence of cleaner and healthier environments, clean water and food, and the existence of vibrant social contexts in which individuals are able to work for the overall good of communities and, ultimately, of each other.

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This paper explores some of the lessons of the coordinated care trials in Australia in the context of managed care in America and asks how do we best manage our finite health care dollars for the most equitable and effective outcomes for whole populations? The COAG trial in Australia tested a more structured process for managing the care of patients with chronic illness and postulated that currently fragmented health system funding could be pooled around individual patient need, and managed for improved economic outcomes and patient wellbeing. There is little doubt, following this initiative and much work in other countries, that as health care costs rise, for a range of reasons, improvements are needed in the management of our resources if we are to control rising health care costs. We also know that chronic illness, much of which is preventable and avoidable, is the major component in the rising health care cost equation and a factor likely to consume around 75% of our health dollars in the future. Much chronic illness can be prevented through social and population health strategies and we know that even if chronic illness can?t be prevented, it can be managed better through community-based chronic illness management programs. These programs rely on information, education, patient lifestyle and behaviour change, and on patients developing improved self-management skills. But, what is the best way to manage population health in Australia and ensure equity and fairness in the health care market as we evolve new approaches, especially to the management of chronic illness?

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Although we have good evidence to support the notion that early intervention, prevention and community education programs can mitigate the impact of preventable disease, expanded primary health care is also being promoted by Australian governments as a panacea for reducing growth in demand generally. While preventive programs do reduce acute demand, they may not do so the extent that resources, currently allocated to the acute sector, can be substituted to provide the additional primary care services necessary to reduce acute demand permanently. These developments have particular relevance for rural and isolated communities where access to acute services is already very limited. What appears to be occurring, in rural South Australia at least, is that traditional acute services are being reduced and replaced with lower level care and social intervention programs. This is well and good, but eventually the acute care being provided in rural health units now will still need to be provided by other units elsewhere and probably at much higher cost to the system and to consumers. Where rural communities have previously managed much of their own acute service demand, they may now be forced to send patients to more distant centres for care but at much greater social and economic cost to individuals and the system.

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Many health professionals and rural health academics are motivated by the challenge of achieving equitable access to health care in rural communities with the implicit vision that fairer access to services might ultimately lead to more equitable health outcomes for people living in rural and remote settings. The purpose of this paper is to put the issue of rural and urban health outcome parity into perspective and assess recent progress towards achieving the ultimate goal of improving rural health status. I will also explore ways in which rural communities might increase their access to and use of primary health care revenue in the future to improve community health outcomes. While some improvements have been achieved across the rural health system in recent times, the fundamental problem of maintaining infrastructure to service community needs in rural areas remains as daunting as ever. Extensive evidence has now been assembled to show that rural people generally enjoy a much lower standard of health care, health outcomes and life expectancy than their urban cousins. The question underlying all of this evidence, however, is... must this always be so? Is it possible to redress the current inequities between rural and urban populations and could new primary health care initiatives, such as the Enhanced Primary Care (EPC) program, be vehicles for achieving more equitable health care arrangements and health outcomes for people living in rural communities?

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This book is especially apt for those interested in implementing the practices and strategies that support programmes of health maintenance, preventive health and strategies for bringing about a change in personal and population health ...

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Background: There is increased interest in developing multidisciplinary ambulatory care models of service delivery to manage patients with complex chronic diseases. These programs are expensive and given limited resources it is important that care is targeted effectively. One potential screening strategy is to identify individuals who report the greatest decrement in health related quality of life (HRQoL) and thus greater need. The aim of this study was to explore the relationship between HRQoL, comorbid conditions and acute health care utilisation. Methods: A prospective, longitudinal cohort design was used to evaluate the impact of HRQoL on acute care utilisation rates over three-years of follow-up. Participants were enrolled in chronic disease management programs run by a metropolitan health service in Australia. Baseline data was collected from 2007-2009 and follow-up data until 2012. Administrative data was used to classify patients' primary reasons for enrolment, number of comorbidities (Charlson Score) and presentations to acute care. At enrolment, HRQoL was measured using the Assessment of Quality of Life (AQoL) instrument, for analysis AQoL scores were dichotomised at two standard deviations below the population norm. Results: There were 1999 participants (54% male) with a mean age of 63years (range 18-101), enrolled in the study. Participants' primary health conditions at enrolment were: diabetes 915 (46%), chronic respiratory disease 463 (23%), cardiac disease 260 (13%), peripheral vascular disease, and 181 (9%) and aged care 180 (9%). At 1-year multivariate logistic regression models demonstrated that AQOL utility score was not predictive of acute care presentations after adjusting for comorbidities. Over 3-years an AQoL utility score in the lowest quartile was predictive of both ED presentation (OR 1.58, 95% CI, 1.16-2.13, p=0.003) and admissions (OR 1.67, 95% CI.1.21 to 2.30, p=0.002) after adjusting for differences in age and comorbidities. Conclusion: This study found that both HRQoL and comorbidities were predictive of subsequent acute care attendance over 3-years of follow-up. At 1-year, comorbidities was a better predictor of acute care representation than HRQoL. To maximise benefits, programs should initially focus on medical disease management, but subsequently switch to strategies that enhance health independence and raise HRQoL.

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BACKGROUND: Bariatric surgery prevents and induces remission of type 2 diabetes in many patients. The effect of preoperative glucose status on long-term health-care costs is unknown. We aimed to assess health-care costs over 15 years for patients with obesity treated conventionally or with bariatric surgery and who had either euglycaemia, prediabetes, or type 2 diabetes before intervention. METHODS: The Swedish Obese Subjects (SOS) study is a prospective study of adults who had bariatric surgery and contemporaneously matched controls who were treated conventionally (age 37-60 years; BMI of ≥34 in men and ≥38 in women) recruited from 25 Swedish surgical departments and 480 primary health-care centres. Exclusion criteria were identical for both study groups, and were previous gastric or bariatric surgery, recent malignancy or myocardial infarction, selected psychiatric disorders, and other contraindicating disorders to bariatric surgery. Conventional treatment ranged from no treatment to lifestyle intervention and behaviour modification. In this study, we retrieved prescription drug costs for the patients in the SOS study via questionnaires and the nationwide Swedish Prescribed Drug Register. We retrieved data for inpatient and outpatient visits from the Swedish National Patient Register. We followed up the sample linked to register data for up to 15 years. We adjusted mean differences for baseline characteristics. Analyses were by intention to treat. The SOS study is registered with ClinicalTrials.gov, number NCT01479452. FINDINGS: Between Sept 1, 1987, and Jan 31, 2001, 2010 adults who had bariatric surgery and 2037 who were treated conventionally were enrolled into the SOS study. In this study, we followed up 4030 patients (2836 who were euglycaemic; 591 who had prediabetes; 603 who had diabetes). Drug costs did not differ between the surgery and conventional treatment groups in the euglycaemic subgroup (surgery US$10,511 vs conventional treatment $10,680; adjusted mean difference -$225 [95% CI -2080 to 1631]; p=0·812), but were lower in the surgery group in the prediabetes ($10,194 vs $13,186; -$3329 [-5722 to -937]; p=0·007) and diabetes ($14,346 vs $19,511; -$5487 [-7925 to -3049]; p<0·0001) subgroups than in the conventional treatment group. Compared with the conventional treatment group, we noted greater inpatient costs in the surgery group for the euglycaemic ($51,225 vs $25,313; $22,931 [19,001-26,861]; p<0·0001), prediabetes ($58,699 vs $32,861; $27,152 [18,736-35,568]; p<0·0001), and diabetes ($61,569 vs $47,569; 18,697 [9992-27,402]; p<0·0001) subgroups. We noted no differences in outpatient costs. Total health-care costs were higher in the surgery group in the euglycaemic ($71,059 vs $45,542; $22,390 [17,358-27,423]; p<0·0001) and prediabetes ($78,151 vs $54,864; $26,292 [16,738-35,845]; p<0·0001) subgroups than in the conventional treatment group, whereas we detected no difference between treatment groups in patients with diabetes ($88,572 vs $79,967; $9081 [-1419 to 19,581]; p=0·090). INTERPRETATION: Total health-care costs were higher for patients with euglycaemia or prediabetes in the surgery group than in the conventional treatment group, but we detected no difference between the surgery and conventional treatment groups for patients with diabetes. Long-term health-care cost results support prioritisation of patients with obesity and type 2 diabetes for bariatric surgery. FUNDING: AFA Försäkring and Swedish Scientific Research Council.

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Considering the grim scenario of burgeoning health-care costs and cost-cutting measures by the Australian Government, there is a clear case to invest and research into disciplines that will ensure sustainability of the public health system. There is evidence that integrated health care contributes to a cost-efficient and quality health system because of potential benefits like streamlined care for patients, efficient use of resources, a better cover of patients and improved patient safety. However, integrated health care as a notion is submerged in the disciplines of public health and primary care. In reality, it is a distinct concept acting as a bridge between primary and secondary care. This article argues it is time for the discipline of integrated health care to be recognised on its own and investment be driven into the establishment of integrated care centres.

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Background: Since 2008, Australia has embarked on major healthcare reforms extending across all states and territories. Only limited evidence linking national healthcare reforms to improvement in public hospital performance exists. This evidence gap is even more pronounced in the case of remote hospital performance. This article describes a protocol retrospectively assessing a remote hospital programme to implement emergency department performance indicators, in the context of national reforms, over a period of 7 years (2008–2014). Challenges to implementing these reforms are explored.Method: Assessing the complex scenario of reform implementation requires an in-depth analysis, offered by a Realist Evaluation framework. Within this framework, a case study design is adopted to enable descriptive analysis. Interviews with key hospital stakeholders were followed by a literature review to identify a programme theory. The programme theory was articulated in the form of a preliminary context-mechanism-outcome configuration (CMOC). This theory will underlie further data collection, analysis, and interpretation. Both Realist Evaluation and case study allow flexibility in a choice of methods; both quantitative and qualitative methods will be incorporated. The thematic analysis will be employed to identify causal relationships and linkages in collected data.Discussion: Assembled data will be used to develop final CMOC patterns. The final CMOC will help in understanding the theory and mechanisms in use in the hospital.

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Recent studies have demonstrated that Multi-Disciplinary Meetings (MDM) practiced in some medical contexts can contribute to positive health care outcomes. The group reasoning and decision-making in MDMs has been found to be most effective when deliberations revolve around the patient’s needs, comprehensive information is available during the meeting, core members attend and the MDM is effectively facilitated. This article presents a case study of the MDMs in cancer care in a region of Australia. The case study draws on a group reasoning model called the Reasoning Community model to analyse MDM deliberations to illustrate that many factors are important to support group reasoning, not solely the provision of pertinent information. The case study has implications for the use of data analytics in any group reasoning context.

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The Irish health care system is based on a complex and costly mix of private, statutory, and voluntary provisions. The majority of health care expenditure comes from the state, with a significant proportion of acute hospital care funded from private insurance, but there are relatively high out-of-pocket costs for most service users. There is free access to acute hospital care, but not for primary care, for all children. About 40% of the population have free access to primary care. Universal preventive public health services, including vaccination and immunization, newborn blood spot screening, and universal neonatal hearing screening are free. Major health challenges include poverty, obesity, drug and alcohol use, and mental health. The health care system has been dominated for the last 5 years by the impact of the current recession, which has led to very sharp cuts in health care expenditure. It is unclear if the necessary substantial reform of the system will happen. Government policy calls for a move toward a patient-centered, primary care-led system, but without very substantial transfers of resources and investment in Information and Communication Technology, this is unlikely to occur. The paper has been published as part of an overall report of Child Health in Europe: Diversity of Child Health Care in Europe: A Study of the European Paediatric Association/Union of National European Paediatric Societies and Associations http://www.jpeds.com/issue/S0022-3476(16)X0010-8 . (J Pediatr 2016;177S:S87-106).  

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Technological advances during the past 30 years have dramatically improved survival rates for children with life-threatening conditions (preterm births, congenital anomalies, disease, or injury) resulting in children with special health care needs (CSHCN), children who have or are at increased risk for a chronic physical, developmental, behavioral, or emotional condition and who require health and related services beyond that required by children generally. There are approximately 10.2 million of these children in the United States or one in five households with a child with special health care needs. Care for these children is limited to home care, medical day care (Prescribed Pediatric Extended Care; P-PEC) or a long term care (LTC) facility. There is very limited research examining health outcomes of CSHCN and their families. The purpose of this research was to compare the effects of home care settings, P-PEC settings, and LTC settings on child health and functioning, family health and function, and health care service use of families with CSHCN. Eighty four CSHCN ages 2 to 21 years having a medically fragile or complex medical condition that required continual monitoring were enrolled with their parents/guardians. Interviews were conducted monthly for five months using the PedsQL TM Generic Core Module for child health and functioning, PedsQL TM Family Impact Module for family health and functioning, and Access to Care from the NS-CSHCN survey for health care services. Descriptive statistics, chi square, and ANCOVA were conducted to determine differences across care settings. Children in the P-PEC settings had a highest health care quality of life (HRQL) overall including physical and psychosocial functioning. Parents/guardians with CSHCN in LTC had the highest HRQL including having time and energy for a social life and employment. Parents/guardians with CSHCN in home care settings had the poorest HRQL including physical and psychosocial functioning with cognitive difficulties, difficulties with worry, communication, and daily activities. They had the fewest hours of employment and the most hours providing direct care for their children. Overall health care service use was the same across the care settings.