Cost effectiveness

About: Cost effectiveness is a research topic. Over the lifetime, 69775 publications have been published within this topic receiving 1531477 citations.

What are the costs of heart failure

Abstract: Heart failure , a syndrome associated with increasing prevalence, high mortality, and frequent hospital admissions, imposes a significant economic burden on western healthcare systems that is expected to further increase in the future due to the ageing population. Hospitalizations are responsible for the largest part of treatment costs and, thus, the main target for strategies aiming at cost reduction. Current literature suggests that evidence-based therapy with drugs, devices, and modern disease management programmes improves clinical outcomes of the large population of heart failure patients in a largely cost-effective manner. However, comprehensive knowledge about the cost of treatment is important to guide clinicians in the responsible allocation of today's limited health-care resources. This review provides information about the total cost of heart failure and the contribution of different treatment components to the overall costs.

A randomised controlled trial of cognitive behaviour therapy and motivational interviewing for people with Type 1 diabetes mellitus with persistent sub-optimal glycaemic control: a Diabetes and Psychological Therapies (ADaPT) study.

Abstract: OBJECTIVES: To determine whether (i) motivational enhancement therapy (MET) + cognitive behaviour therapy (CBT) compared with usual care, (ii) MET compared with usual care, (iii) or MET + CBT compared with MET was more effective in improving glycaemic control when delivered by general nurses with additional training in these techniques. DESIGN: A three-arm parallel randomised controlled trial as the gold standard design to test the effectiveness of psychological treatments. SETTING: The recruiting centres were diabetes clinics in seven acute trusts in south-east London and Greater Manchester. PARTICIPANTS: Adults (18-65 years) with a confirmed diagnosis of type 1 diabetes for a minimum duration of 2 years and a current glycated (or glycosylated) haemoglobin (HbA1c) value between 8.2% and 15.0%. INTERVENTIONS: The control arm consisted of usual diabetes care which varied between the hospitals, but constituted at least three monthly appointments to diabetes clinic. The two treatments arms consisted of usual care with MET and usual care with MET + CBT. MAIN OUTCOME MEASURES: The primary outcome was HbA1c at 12 months from randomisation. Secondary outcome measures were 1-year costs measured by the Client Service Receipt Inventory at baseline, 6 months and 12 months; quality of life-years [quality-adjusted life-years (QALYs)] measured by the SF-36 (Short Form-36 Health Survey Questionnaire) and EQ-5D (European Quality of Life-5 Dimensions) at baseline and 12 months. RESULTS: One thousand six hundred and fifty-nine people with type 1 diabetes were screened and 344 were randomised to MET + CBT (n = 106), MET (n = 117) and to usual care (n = 121). The 12-month follow-up rate for HbA1c was 88% (n = 305). The adjusted mean 12-month HbA1c was 0.45% lower in those treated with MET + CBT [95% confidence interval (CI) 0.16% to 0.79%, p = 0.008] than for usual care; 0.16% lower in those treated with MET (95% CI 0.20% to 0.51%, p = 0.38) than for usual care; and 0.30% lower with MET + CBT than with MET (95% CI -0.07% to 0.66%, p = 0.11). The higher the HbA1c, and the younger the participant at baseline, the greater was the reduction in HbA1c. The interventions had no effect on secondary outcomes such as depression and quality of life. The economic evaluation was inconclusive. Both interventions were associated with increased health care costs than for usual care alone. There was no significant difference in social costs. Cost effectiveness ratios, up to one year, varied considerably according to whether QALY estimates were based on EQ-5D or SF-36 and whether imputed or complete data were used in the analyses. CONCLUSIONS: A combination of MET and CBT may be useful for patients with persistent sub-optimal diabetic control. MET alone appears less effective than usual care. Economic evaluation was inconclusive. TRIAL REGISTRATION: Current Controlled Trials ISRCTN77044517.

Interim policy on collaborative TB / HIV activities.

Abstract: This policy responds to a demand from countries for immediate guidance on which collaborative TB/HIV activities to implement and under what circumstances. It is complementary to and in synergy with the established core activities of tuberculosis and HIV/AIDS prevention and control programmes. Implementing the DOTS strategy is the core activity for tuberculosis control. Similarly infection and disease prevention and health promotion activities and the provision of treatment and care form the basis for HIV/AIDS control. This policy does not call for the institution of a new specialist or independent disease control programme. It rather promotes enhanced collaboration between tuberculosis and HIV/AIDS programmes in the provision of a continuum of quality care at service-delivery level for people with or at risk of tuberculosis and people living with HIV/AIDS. While there is good evidence for the cost effectiveness of the DOTS strategy and several HIV prevention measures the evidence for collaborative TB/HIV activities is limited and is still being generated in different settings. Existing evidence from randomized controlled trials non-randomized trials and other analytical and descriptive observational studies operational research and expert opinion based on sound clinical and field experience was used for this interim policy document. It is a rolling policy which will be continuously updated to reflect new evidence and best practices. (excerpt)

Bayesian approaches to multiple sources of evidence and uncertainty in complex cost-effectiveness modelling.

Abstract: Increasingly complex models are being used to evaluate the cost-effectiveness of medical interventions. We describe the multiple sources of uncertainty that are relevant to such models, and their relation to either probabilistic or deterministic sensitivity analysis. A Bayesian approach appears natural in this context. We explore how sensitivity analysis to patient heterogeneity and parameter uncertainty can be simultaneously investigated, and illustrate the necessary computation when expected costs and benefits can be calculated in closed form, such as in discrete-time discrete-state Markov models. Information about parameters can either be expressed as a prior distribution, or derived as a posterior distribution given a generalized synthesis of available data in which multiple sources of evidence can be differentially weighted according to their assumed quality. The resulting joint posterior distributions on costs and benefits can then provide inferences on incremental cost-effectiveness, best presented as posterior distributions over net-benefit and cost-effectiveness acceptability curves. These ideas are illustrated with a detailed running example concerning the cost-effectiveness of hip prostheses in different age-sex subgroups. All computations are carried out using freely available software for conducting Markov chain Monte Carlo analysis.