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Biomedical subjects

A Eastwood

Publications and source records attributed to A Eastwood.

At least 19 recordsLinked to original sources
PubMed2005

Cost-effectiveness of alternative strategies for the initial medical management of non-ST elevation acute coronary syndrome: systematic review and decision-analytical modelling.

OBJECTIVES: To identify and prioritise key areas of clinical uncertainty regarding the medical management of non-ST elevation acute coronary syndrome (ACS) in current UK practice. DATA SOURCES: Electronic databases. Consultations with clinical advisors. Postal survey of cardiologists. REVIEW METHODS: Potential areas of important uncertainty were identified and 'decision problems' prioritised. A systematic literature review was carried out using standard methods. The constructed decision model consisted of a short-term phase that applied the results of the systematic review and a long-term phase that included relevant information from a UK observational study to extrapolate estimated costs and effects. Sensitivity analyses were undertaken to examine the dependence of the results on baseline parameters, using alternative data sources. Expected value of information analysis was undertaken to estimate the expected value of perfect information associated with the decision problem. This provided an upper bound on the monetary value associated with additional research in the area. RESULTS: Seven current areas of clinical uncertainty (decision problems) in the drug treatment of unstable angina patients were identified. The agents concerned were clopidogrel, low molecular weight heparin, hirudin and intravenous glycoprotein antagonists (GPAs). Twelve published clinical guidelines for unstable angina or non-ST elevation ACS were identified, but few contained recommendations about the specified decision problems. The postal survey of clinicians showed that the greatest disagreement existed for the use of small molecule GPAs, and the greatest uncertainty existed for decisions relating to the use of abciximab (a large molecule GPA). Overall, decision problems concerning the GPA class of drugs were considered to be the highest priority for further study. Selected papers describing the clinical efficacy of treatment were divided into three groups, each representing an alternative strategy. The strategy involving the use of GPAs as part of the initial medical management of all non-ST elevation ACS was the optimal choice, with an incremental cost-effectiveness ratio (ICER) of 5738 pounds per quality-adjusted life-year (QALY) compared with no use of GPAs. Stochastic analysis showed that if the health service is willing to pay 10,000 pounds per additional QALY, the probability of this strategy being cost-effective was around 82%, increasing to 95% at a threshold of 50,000 pounds per QALY. A sensitivity analysis including an additional strategy of using GPAs as part of initial medical management only in patients at particular high risk (as defined by age, ST depression or diabetes) showed that this additional strategy was yet more cost-effective, with an ICER of 3996 pounds per QALY compared with no treatment with GPA. Value of information analysis suggested that there was considerable merit in additional research to reduce the level of uncertainty in the optimal decision. At a threshold of 10,000 pounds per QALY, the maximum potential value of such research in the base case was calculated as 12.7 million pounds per annum for the UK as a whole. Taking account of the greater uncertainty in the sensitivity analyses including clopidogrel, this figure was increased to approximately 50 million pounds. CONCLUSIONS: This study suggests the use of GPAs in all non-ST elevation ACS patients as part of their initial medical management. Sensitivity analysis showed that virtually all of the benefit could be realised by treating only high-risk patients. Further clarification of the optimum role of GPAs in the UK NHS depends on the availability of further high-quality observational and trial data. Value of information analysis derived from the model suggests that a relatively large investment in such research may be worthwhile. Further research should focus on the identification of the characteristics of patients who benefit most from GPAs as part of medical management, the comparison of GPAs with clopidogrel as an adjunct to standard care, follow-up cohort studies of the costs and outcomes of high-risk non-ST elevation ACS over several years, and exploring how clinicians' decisions combine a normative evidence-based decision model with their own personal behavioural perspective.

Acute Disease↗
PubMed2004

Generalisability in economic evaluation studies in healthcare: a review and case studies.

OBJECTIVES: To review, and to develop further, the methods used to assess and to increase the generalisability of economic evaluation studies. DATA SOURCES: Electronic databases. REVIEW METHODS: Methodological studies relating to economic evaluation in healthcare were searched. This included electronic searches of a range of databases, including PREMEDLINE, MEDLINE, EMBASE and EconLit, and manual searches of key journals. The case studies of a decision analytic model involved highlighting specific features of previously published economic studies related to generalisability and location-related variability. The case-study involving the secondary analysis of cost-effectiveness analyses was based on the secondary analysis of three economic studies using data from randomised trials. RESULTS: The factor most frequently cited as generating variability in economic results between locations was the unit costs associated with particular resources. In the context of studies based on the analysis of patient-level data, regression analysis has been advocated as a means of looking at variability in economic results across locations. These methods have generally accepted that some components of resource use and outcomes are exchangeable across locations. Recent studies have also explored, in cost-effectiveness analysis, the use of tests of heterogeneity similar to those used in clinical evaluation in trials. The decision analytic model has been the main means by which cost-effectiveness has been adapted from trial to non-trial locations. Most models have focused on changes to the cost side of the analysis, but it is clear that the effectiveness side may also need to be adapted between locations. There have been weaknesses in some aspects of the reporting in applied cost-effectiveness studies. These may limit decision-makers' ability to judge the relevance of a study to their specific situations. The case study demonstrated the potential value of multilevel modelling (MLM). Where clustering exists by location (e.g. centre or country), MLM can facilitate correct estimates of the uncertainty in cost-effectiveness results, and also a means of estimating location-specific cost-effectiveness. The review of applied economic studies based on decision analytic models showed that few studies were explicit about their target decision-maker(s)/jurisdictions. The studies in the review generally made more effort to ensure that their cost inputs were specific to their target jurisdiction than their effectiveness parameters. Standard sensitivity analysis was the main way of dealing with uncertainty in the models, although few studies looked explicitly at variability between locations. The modelling case study illustrated how effectiveness and cost data can be made location-specific. In particular, on the effectiveness side, the example showed the separation of location-specific baseline events and pooled estimates of relative treatment effect, where the latter are assumed exchangeable across locations. CONCLUSIONS: A large number of factors are mentioned in the literature that might be expected to generate variation in the cost-effectiveness of healthcare interventions across locations. Several papers have demonstrated differences in the volume and cost of resource use between locations, but few studies have looked at variability in outcomes. In applied trial-based cost-effectiveness studies, few studies provide sufficient evidence for decision-makers to establish the relevance or to adjust the results of the study to their location of interest. Very few studies utilised statistical methods formally to assess the variability in results between locations. In applied economic studies based on decision models, most studies either stated their target decision-maker/jurisdiction or provided sufficient information from which this could be inferred. There was a greater tendency to ensure that cost inputs were specific to the target jurisdiction than clinical parameters. Methods to assess generalisability and variability in economic evaluation studies have been discussed extensively in the literature relating to both trial-based and modelling studies. Regression-based methods are likely to offer a systematic approach to quantifying variability in patient-level data. In particular, MLM has the potential to facilitate estimates of cost-effectiveness, which both reflect the variation in costs and outcomes between locations and also enable the consistency of cost-effectiveness estimates between locations to be assessed directly. Decision analytic models will retain an important role in adapting the results of cost-effectiveness studies between locations. Recommendations for further research include: the development of methods of evidence synthesis which model the exchangeability of data across locations and allow for the additional uncertainty in this process; assessment of alternative approaches to specifying multilevel models to the analysis of cost-effectiveness data alongside multilocation randomised trials; identification of a range of appropriate covariates relating to locations (e.g. hospitals) in multilevel models; and further assessment of the role of econometric methods (e.g. selection models) for cost-effectiveness analysis alongside observational datasets, and to increase the generalisability of randomised trials.

Coronary Disease↗
PubMed2001

Myopathy with tubulin-reactive crystalline inclusions.

A 61-year-old man with muscle aches and persistently elevated serum creatine kinase had aggregates of randomly oriented, rhomboidal or rectangular protein crystalline inclusions in the sarcoplasm of type II fibers. Immunochemical studies showed strong reactivity of the inclusions to tubulin antibodies, suggesting that these unique crystalline inclusions may be a consequence of altered synthesis, processing, or degradation of tubulin.

Crystallization↗
PubMed2001

Palliative radiotherapy regimens for non-small cell lung cancer.

BACKGROUND: Palliative radiotherapy (RT) to the chest is often used in patients with lung cancer, but RT regimens are more often based on tradition than research results. OBJECTIVES: To discover the most effective and least toxic regimens of palliative RT, and whether higher doses increase survival. SEARCH STRATEGY: Electronic databases, reference lists, handsearching of journals and conference proceedings, and discussion with experts were used to identify potentially eligible trials, published and unpublished. SELECTION CRITERIA: Randomised controlled clinical trials comparing different regimens of palliative RT in patients with non-small lung cancer. DATA COLLECTION AND ANALYSIS: Ten randomised trials were reviewed. There were important differences in the doses of RT investigated, the patient characteristics and the outcome measures. Because of this heterogeneity no meta-analysis was attempted. MAIN RESULTS: There is no strong evidence that any regimen gives greater palliation. Higher dose regimens give more acute toxicity. There is evidence for a modest increase in survival (6% at 1 year and 3% at 2 years) in patients with better performance status (PS) given higher dose RT. REVIEWER'S CONCLUSIONS: The majority of patients should be treated with short courses of palliative RT, of 1 or 2 fractions. Care should be taken with the dose to the spinal cord. The use of high dose palliative regimens should be considered for and discussed with selected patients with good PS. More research is needed into reducing the acute toxicity of large fraction regimens and into the role of radical compared to high dose palliative RT and more homogeneous studies are needed.

Carcinoma, Non-Small-Cell Lung↗
PubMed1999

Can we measure the social importance of health care?

This paper examines the extent to which it is possible to measure the social importance, or macro benefits, of health care. In contrast to the many micro studies of the benefits of specific health care interventions, methodology relating to such macro benefits is at a very rudimentary stage. A theoretical model is presented that seeks to capture the social consequences of a health care system. In light of this model, three existing empirical approaches to answering the question are examined: the inventory approach, the avoidable mortality approach, and the production function approach. All three have severe limitations in terms of the underlying theoretical model, data availability, and analytic tools employed. A more fruitful approach may be to investigate the value of undertaking a direct survey of citizens' attitudes toward their health care system.

Delivery of Health Care↗
PubMed1998

Management of lung cancer.

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Antineoplastic Combined Chemotherapy Protocols↗