133 resultados para Stroke Units

em Deakin Research Online - Australia


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Background and Purpose: Level I evidence from randomized controlled trials demonstrates that the model of hospital care influences stroke outcomes; however, the economic evaluation of such is limited. An economic appraisal of 3 acute stroke care models was facilitated through the Stroke Care Outcomes: Providing Effective Services (SCOPES) study in Melbourne, Australia. The aim was to describe resource use up to 28 weeks poststroke for each model and examine the cost-effectiveness of stroke care units (SCUs). Methods: A prospective, multicenter, cohort study design was used. Costs and outcomes of stroke patients receiving 100% treatment in 1 of 3 inpatient care models (SCUs, mobile service, conventional care) were compared. Health-sector resource use up to 28 weeks was measured in 1999. Outcomes were thorough adherence to a suite of important clinical processes and the number of severe inpatient complications. Results: The sample comprised 395 participants (mean age 73 [SD 14], 77% first-ever strokes, males 53%). When compared with conventional care (n=84), costs for mobile service (n=209) were significantly higher (P=0.024), but borderline for SCU (n=102, P=0.08; $AUD12 251; $AUD15 903; $AUD15 383 respectively). This was primarily explained by the greater use of specialist medical services. The incremental cost-effectiveness of SCUs over conventional care was $AUD9867 per patient achieving thorough adherence to clinical processes and $AUD16 372 per patient with severe complications avoided, based on costs to 28 weeks. Conclusions: Although acute SCU costs are generally higher, they are more cost-effective than either mobile service or conventional care.

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Objectives: Stroke is the world’s second leading cause of death in people aged over 60 years. Approximately 50,000 strokes occur annually in Australia with numbers predicted to increase by about one third over 10-years. Our objectives were to assess the economic implications of a public health program for stroke by: (1) predicting what potential health-gains and cost-offsets could be achieved; and (2) determining the net level of annual investment that would offer value-for-money.

Methods: Lifetime costs and outcomes were calculated for additional cases that would benefit if ‘current practice’ was feasibly improved, estimated for one indicative year using: (i) local epidemiological data, coverage rates and costs; and (ii) pooled effect sizes from systematic reviews.

Interventions: blood pressure lowering; warfarin for atrial fibrillation; increased access to stroke units; intravenous thrombolysis and aspirin for ischemic events; and carotid endarterectomy. Value-for-money threshold: AUD$30,000/DALY recovered.

Results: Improved, prevention and management could prevent about 27,000 (38%) strokes in 2015. In present terms (2004), about 85,000 DALYs and AUD$1.06 billion in lifetime cost-offsets could be recovered. The net level of annual warranted investment was AUD$3.63 billion.

Conclusions: Primary prevention, in particular blood pressure lowering, was most effective. A public health program for stroke
is warranted

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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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BACKGROUND/PURPOSE: The effectiveness and costs of very early rehabilitation after stroke are unknown. This study assessed the cost effectiveness of very early mobilisation in addition to standard care (VEM) compared with standard care alone (SC). METHODS: Cost-effectiveness analysis alongside a phase II, multi-centre, randomised controlled trial (RCT) with blinded outcome assessments. Less than 24 h after stroke, patients were recruited from two stroke units and randomised to receive VEM or SC. The intervention continued until discharge or 14 days, whichever was sooner. The efficacy measure was a dichotomised modified Rankin Scale (mRS) at 3 months with mRS < or =2 representing good outcome. Costs were determined from medical records and patient interviews at 3, 6 and 12 months. National average (where available) or local costs were applied for the reference year 2004. Differences in mean total costs at 3 and 12 months were tested using t test assuming unequal variances. An incremental cost-effectiveness ratio was calculated and probabilistic uncertainty analysis was undertaken. RESULTS: The sample consisted of 38 VEM and 33 SC patients. A trend for good outcome with VEM compared to SC was found (adjusted OR 4.10, 95% CI 0.99-16.88, p = 0.051). Patients receiving VEM incurred significantly less costs at 3 months (AUD 13,559) compared with SC (AUD 21,860; p = 0.02). This difference in mean per patient total cost persisted at the 12-month assessment (VEM: AUD 17,564; SC: AUD 29,750; p = 0.03). VEM was found to be a 'dominant' (more effective, less cost) intervention when compared to SC at 3 months. CONCLUSION: These findings provide preliminary evidence that VEM is likely to be cost-effective. A large RCT is currently underway to confirm the cost effectiveness of VEM.

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RATIONALE: A key objective of A Very Early Rehabilitation Trial is to determine if the intervention, very early mobilisation following stroke, is cost-effective. Resource use data were collected to enable an economic evaluation to be undertaken and a plan for the main economic analyses was written prior to the completion of follow up data collection. AIM AND HYPOTHESIS: To report methods used to collect resource use data, pre-specify the main economic evaluation analyses and report other intended exploratory analyses of resource use data. SAMPLE SIZE ESTIMATES: Recruitment to the trial has been completed. A total of 2,104 participants from 56 stroke units across three geographic regions participated in the trial. METHODS AND DESIGN: Resource use data were collected prospectively alongside the trial using standardised tools. The primary economic evaluation method is a cost-effectiveness analysis to compare resource use over 12 months with health outcomes of the intervention measured against a usual care comparator. A cost-utility analysis is also intended. STUDY OUTCOME: The primary outcome in the cost-effectiveness analysis will be favourable outcome (modified Rankin Scale score 0-2) at 12 months. Cost-utility analysis will use health-related quality of life, reported as quality-adjusted life years gained over a 12 month period, as measured by the modified Rankin Scale and the Assessment of Quality of Life. DISCUSSION: Outcomes of the economic evaluation analysis will inform the cost-effectiveness of very early mobilisation following stroke when compared to usual care. The exploratory analysis will report patterns of resource use in the first year following stroke.

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Background Early mobilisation after stroke is thought to contribute to the eff ects of stroke-unit care; however, the intervention is poorly defined and not underpinned by strong evidence. We aimed to compare the effectiveness of frequent, higher dose, very early mobilisation with usual care after stroke.MethodsWe did this parallel-group, single-blind, randomised controlled trial at 56 acute stroke units in five countries. Patients (aged ≥18 years) with ischaemic or haemorrhagic stroke, first or recurrent, who met physiological criteriawere randomly assigned (1:1), via a web-based computer generated block randomisation procedure (block size of six), to receive usual stroke-unit care alone or very early mobilisation in addition to usual care. Treatment with recombinant tissue plasminogen activator was allowed. Randomisation was stratified by study site and stroke severity. Patients, outcome assessors, and investigators involved in trial and data management were masked to treatment allocation. The primary outcome was a favourable outcome 3 months after stroke, defined as a modified Rankin Scale score of 0–2. We did analysis on an intention-to-treat basis. The trial is registered with the Australian New Zealand Clinical Trials Registry, number ACTRN12606000185561.FindingsBetween July 18, 2006, and Oct 16, 2014, we randomly assigned 2104 patients to receive either very early mobilisation (n=1054) or usual care (n=1050); 2083 (99%) patients were included in the 3 month follow-up assessment. 965 (92%) patients were mobilised within 24 h in the very early mobilisation group compared with 623 (59%) patients in the usual care group. Fewer patients in the very early mobilisation group had a favourable outcome than those in the usual care group (n=480 [46%] vs n=525 [50%]; adjusted odds ratio [OR] 0·73, 95% CI 0·59–0·90; p=0·004). 88 (8%) patients died in the very early mobilisation group compared with 72 (7%) patients in the usual care group (OR 1·34, 95% CI 0·93–1·93, p=0·113). 201 (19%) patients in the very early mobilisation group and 208 (20%) of those in the usual care group had a non-fatal serious adverse event, with no reduction in immobility-related complications with very early mobilisation.InterpretationFirst mobilisation took place within 24 h for most patients in this trial. The higher dose, very early mobilisation protocol was associated with a reduction in the odds of a favourable outcome at 3 months. Early mobilisation after stroke is recommended in many clinical practice guidelines worldwide, and our findings should affect clinical practice by refi ning present guidelines; however, clinical recommendations should be informed by future analyses of dose–response associations.

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Review question/objective
What risk factors are associated with incident delirium in adult patients during an acute medical hospitalisation?
More specifically, the objectives are to:
Identify and synthesise the best available evidence on the factors which are associated with delirium in adult patients admitted to acute medical facilities.

Types of participants
This review will consider studies that include adults (defined as 18 years and above) who were admitted to an acute medical setting (e.g. general medical units, stroke units, short stay units and neuromedical units) who were not delirious on admission (in order to differentiate incident delirium) but who developed incident delirium during hospitalisation

The review will exclude patients who were:
- critically ill and admitted to specialist unit e.g. ICU or CCU
- admitted for any type of surgery
- admitted for alcohol related reasons
- admitted to psychiatric facility
These patients will be excluded in order to determine factors that may be exclusive to the medical in patient setting.

Types of intervention(s)/phenomena of interest
This review will consider studies that evaluate any risk factors that may contribute to the development of delirium during in-patient hospitalisation. The review will look at factors present on admission (predisposing) and also factors that may occur during hospitalisation (precipitating) that contribute to incident delirium.

Types of outcomes
This review will consider studies that include the following outcome measures: the incidence of delirium as related to individual risk factors.

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Objective: The aim of the Faster Access to Stroke Therapy (FAST) study was to determine the effect of educational intervention andthe use of a prehospital stroke tool on the paramedic diagnosis of stroke.

Methods: Paramedics in emergency medical service units servicing a university teaching hospital were divided into two groups: FAST study paramedics (n = 18) and non-FAST study paramedics (n = 43). The FAST study paramedics received stroke education and instruction in the use of a prehospital stroke assessment tool [Melbourne Ambulance Stroke Screen (MASS)] to assist in stroke diagnosis. Based on final hospital diagnosis, the sensitivities of paramedic stroke diagnosis in the two groups were compared for a 12-month period before andafter the intervention.

Results: The sensitivity for the FAST study paramedics in identifying stroke improved from 78% (95% confidence interval [CI]: 63% to 88%) to 94% (95% CI: 86% to 98%) (p = 0.006) after receiving the stroke education session and with use of the MASS tool. There was no change in stroke diagnosis for the non-study paramedics 78% (95% CI: 71% to 84%) to 80% (95% CI: 72% to 87%) (p = 0.695). Prenotification of impending arrival to the emergency department was associated with higher-priority triage in the emergency department, and subsequent shorter times for door to medical review (15 min vs. 31 min, p < 0.001) and door to computed tomography (CT) scanning (94 min vs. 144 min, p < 0.001).

Conclusions: Targeted stroke education and the use of a simple clinical tool can significantly improve the diagnostic sensitivity of stroke by paramedics in the prehospital setting. Accurate diagnosis combined with prenotification of the pending arrival of stroke patients will allow for the focused and timely application of resources for the management of acute stroke.

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The purpose of this study was to determine the impact of stroke on survivors of the condition and to identify their physical and psychosocial needs in rural and regional settings. Data were collected via focus group interviews with stroke survivors, carers and key informants. Data were managed using NUD*IST and analysed using a content analysis method identifying major themes related to the impact of living in the community after having a stroke. It was found that stroke survivors suffered severe physical and emotional effects. The findings also identified the vulnerability of this group and a lack of organised, on-going psychosocial and rehabilitative support. Recommendations are made to enhance the current management of stroke after the acute and subacute phases.

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Examines the amount of time spent on science education in primary schools in Australia. Quality of teaching; Profile of science in the school; Presence of science in the curriculum.

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Background and Purpose: The impact of stroke is multidimensional however standard stroke measures do not discriminate well when stroke patients are less physically impaired. The Stroke Impact Scale 2.0 (SIS 2.0) is a multidimensional measure of the impact of stroke but its'' psychometric properties require further testing. The SIS-16 is a measure of physical functioning designed to be more sensitive to differences in physical functioning than current stroke outcome measures but there is only preliminary information detailing its'' reliability and validity. The current study examined the internal consistency and validity of the SIS 2.0 and SIS-16 in an Australian sample of stroke patients. Methods: The SIS 2.0, SIS-16, World Health Organization Bref-Scale (WHOQOL-BREF) and Zung''s Self-Rating Depression Scale (SDS) were completed by 74 stroke patients in rural Victoria, Australia.
Results: The item convergent validity index indicated good item convergence of the SIS-16 and SIS 2.0 domains. The item discriminant validity index had only adequate divergence for most SIS 2.0 domains. Internal consistencies of the SIS-16 and SIS 2.0 domains were acceptable (agr = 0.87–0.95). Correlations between the SIS-16 and SIS 2.0 and the WHOQOL-BREF and SDS supported the convergent and discriminant validity of the SIS-16 and all the dimensions of the SIS 2.0 except lsquoParticipationrsquo which lacked discriminant validity. Conclusions: The SIS 2.0 and SIS-16 had good psychometric properties with support for the internal consistency and validity of both measures.

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Stroke is a major cause of chronic illness in Australia, where it is estimated that between 200,000 and 250,000 people live with disabilities due to stroke. Given stroke's effect on survivors and the accompanying burden on caregivers, attention should be given to addressing the needs of caregivers of stroke survivors because they are central to supporting survivors living in the community. Research has shown that the information needs of caregivers are not being met across healthcare settings. Thus, some attention must be given to the development of educational materials that address caregiver needs. In this study we interviewed caregivers to determine their perspectives on support and educational needs at two different stages in the recovery of the stroke survivor: the acute hospital and the community. Despite a high level of uncertainty among caregivers in the acute and community settings, limited information was provided to assist them in their new role. A multifaceted approach would involve the development and implementation of specifically designed educational materials for caregivers, the use of a tool such as a patient-held record to assist in and improve the continuity and communication of care, and the provision of ongoing support from a stroke nurse practitioner who would follow stroke survivors from the acute setting to the community. This approach should be evaluated so that the important issue of addressing caregiver needs is given its due attention.

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Family members are required to provide increasingly complex care to relatives in the home. Stroke is a major cause of disability and there is increasing pressure being placed on carers to provide on-going support to stroke survivors living in the community. This study involved interviewing carers to determine their perspectives on the support and educational needs they require and the coping strategies they used. Data analysis revealed that carers experienced considerable uncertainty about their role as carers and their future and that they used a number of coping strategies to manage in their caring role. The coping strategies adopted by the carers included remaining positive, adapting to change, comparing their situation with others who were worse off, changing their employment status, humour, switching off and using family support. It is important for health care professionals to understand the complex role of the carers and to advise them on strategies they can use to assist managing this role.

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This paper reviews current research regarding the impact of birth complications, such as preterm labour, on parents and the nuclear family system. Specifically, how parents cope with the neonatal intensive care unit (NICU) experience and the associated decision-making tasks required during complicated births will be investigated. Consequences of poor adaptation to prematurity for the parent, family and infant relationships will also be discussed. The importance of informed decision-making, perceived control, self-esteem and the benefits of certain strategies, such as kangaroo care (skin-to-skin contact), in the facilitation of greater levels of attachment and improved relationships, will be highlighted. The paper concludes with suggestions for future research areas to focus on finding better ways to prepare and support parents in these situations, thus improving the quality of relationships between parents and with their child.

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Objectives: To outline the development, structure, data assumptions, and application of an Australian economic model for stroke (Model of Resource Utilization, Costs, and Outcomes for Stroke [MORUCOS]). Methods: The model has a linked spreadsheet format with four modules to describe the disease burden and treatment pathways, estimate prevalence-based and incidence-based costs, and derive life expectancy and quality of life consequences. The model uses patient-level, community-based, stroke cohort data and macro-level simulations. An interventions module allows options for change to be consistently evaluated by modifying aspects of the other modules. To date, model validation has included sensitivity testing, face validity, and peer review. Further validation of technical and predictive accuracy is needed. The generic pathway model was assessed by comparison with a stroke subtypes (ischemic, hemorrhagic, or undetermined) approach and used to determine the relative cost-effectiveness of four interventions. Results: The generic pathway model produced lower costs compared with a subtypes version (total average first-year costs/case AUD$15,117 versus AUD$17,786, respectively). Optimal evidence-based uptake of anticoagulation therapy for primary and secondary stroke prevention and intravenous thrombolytic therapy within 3 hours of stroke were more cost-effective than current practice (base year, 1997). Conclusions: MORUCOS is transparent and flexible in describing Australian stroke care and can effectively be used to systematically evaluate a range of different interventions. Adjusting results to account for stroke subtypes, as they influence cost estimates, could enhance the generic model.