Cost-effectiveness analysis of guidelines for antihypertensive care in Finland

<p>Abstract</p> <p>Background</p> <p>Hypertension is one of the major causes of disease burden affecting the Finnish population. Over the last decade, evidence-based care has emerged to complement other approaches to antihypertensive care, often without health economic assessment of its costs and effects. This study looks at the extent to which changes proposed by the 2002 Finnish evidence-based Current Care Guidelines concerning the prevention, diagnosis, and treatment of hypertension (the ACCG scenario) can be considered cost-effective when compared to modelled prior clinical practice (the PCP scenario).</p> <p>Methods</p> <p>A decision analytic model compares the ACCG and PCP scenarios using information synthesised from a set of national registers covering prescription drug reimbursements, morbidity, and mortality with data from two national surveys concerning health and functional capacity. Statistical methods are used to estimate model parameters from Finnish data. We model the potential impact of the different treatment strategies under the ACCG and PCP scenarios, such as lifestyle counselling and drug therapy, for subgroups stratified by age, gender, and blood pressure. The model provides estimates of the differences in major health-related outcomes in the form of life-years and costs as calculated from a 'public health care system' perspective. Cost-effectiveness analysis results are presented for subgroups and for the target population as a whole.</p> <p>Results</p> <p>The impact of the use of the ACCG scenario in subgroups (aged 40–80) without concomitant cardiovascular and related diseases is mainly positive. Generally, costs and life-years decrease in unison in the lowest blood pressure group, while in the highest blood pressure group costs and life-years increase together and in the other groups the ACCG scenario is less expensive and produces more life-years. When the costs and effects for subgroups are combined using standard decision analytic aggregation methods, the ACCG scenario is cost-saving and more effective.</p> <p>Conclusion</p> <p>The ACCG scenario is likely to reduce costs and increase life-years compared to the PCP scenario in many subgroups. If the estimated trade-offs between the subgroups in terms of outcomes and costs are acceptable to decision-makers, then widespread implementation of the ACCG scenario is expected to reduce overall costs and be accompanied by positive outcomes overall.</p

An economic evaluation of adaptive e-learning devices to promote weight loss via dietary change for people with obesity.

BACKGROUND: The prevalence of obesity is over 25 % in many developed countries. Obesity is strongly associated with an increased risk of fatal and chronic conditions such as cardiovascular disease and type 2 diabetes. Therefore it has become a major public health concern for many economies. E-learning devices are a relatively novel approach to promoting dietary change. The new generation of devices are 'adaptive' and use interactive electronic media to facilitate teaching and learning. E-Learning has grown out of recent developments in information and communication technology, such as the Internet, interactive computer programmes, interactive television and mobile phones. The aim of this study is to assess the cost-effectiveness of e-learning devices as a method of promoting weight loss via dietary change. METHODS: An economic evaluation was performed using decision modelling techniques. Outcomes were expressed in terms of Quality-Adjusted Life-Years (QALYs) and costs were estimated from a health services perspective. All parameter estimates were derived from the literature. A systematic review was undertaken to derive the estimate of relative treatment effect. RESULTS: The base case results from the e-Learning Economic Evaluation Model (e-LEEM) suggested that the incremental cost-effectiveness ratio was approximately £102,000 per Quality-Adjusted Life-Year (QALY) compared to conventional care. This finding was robust to most alternative assumptions, except a much lower fixed cost of providing e-learning devices. Expected value of perfect information (EVPI) analysis showed that while the individual level EVPI was arguably negligible, the population level value was between £37 M and £170 M at a willingness to pay between £20,000 to £30,000 per additional QALY. CONCLUSION: The current economic evidence base suggests that e-learning devices for managing the weight of obese individuals are unlikely to be cost-effective unless their fixed costs are much lower than estimated or future devices prove to be much more effective

Cost-effectiveness of dual-energy X-ray absorptiometry plus antiresorptive treatment in Australian women with breast cancer who receive aromatase inhibitors

Postmenopausal women with breast cancer on aromatase inhibitor (AI) treatment are at increased risk of bone mineral density loss, which may lead to minimal trauma fractures. We examined the cost-effectiveness of dual energy X-ray absorptiometry (DXA) with antiresorptive (AR) therapy compared with fracture risk assessment, lifestyle advice, and vitamin supplementation. We used a hypothetical Markov cohort model of lifetime duration for 60-year-old women with early stage breast cancer receiving AIs. The data to inform the model came from medical literature, epidemiological reports, and costing data sets. Two eligibility scenarios for AR therapy were considered: (A) osteoporosis and (B) osteopenia or osteoporosis. The main outcomes were incremental cost per quality-adjusted life years gained and cumulative fractures per 1000 women, calculated relative to the comparator. Key aspects of the model were explored in sensitivity analyses. Due to relatively low effectiveness gains, the outcomes were primarily driven by the costs. The incremental cost per quality-adjusted life year gained was A$47,556 and A$253,000 for scenarios A and B, respectively. The numbers of fractures avoided were 56 and 77 per 1000 women, respectively. The results were most sensitive to the initial probability of osteoporosis, baseline risk of fracture, and cohort starting age. Compared with risk assessment and lifestyle advice only, a DXA scan followed by an AR treatment is potentially cost-effective for women aged 60 and over undergoing AI therapy for early breast cancer. However, the number of fractures averted through this intervention is small.No Full Tex