scholarly journals Optimal and maximin sample sizes for multicentre cost-effectiveness trials

2015 ◽  
Vol 24 (5) ◽  
pp. 513-539 ◽  
Author(s):  
Md. Abu Manju ◽  
Math JJM Candel ◽  
Martijn PF Berger
Keyword(s):  
Cost Effectiveness ◽  
Sample Sizes ◽  
Effectiveness Trials

Power Analysis for Two-Level Multisite Randomized Cost-Effectiveness Trials

2020 ◽  
Vol 45 (6) ◽  
pp. 690-718
Author(s):  
Wei Li ◽  
Nianbo Dong ◽  
Rebecca A. Maynard
Keyword(s):  
Cost Effectiveness ◽  
Power Analysis ◽  
Total Variance ◽  
Sample Sizes ◽  
Evaluation Tool ◽  
Randomized Controlled ◽  
Effectiveness Measure ◽  
Covariate Effects ◽  
Effectiveness Trials ◽  
The Cost

Cost-effectiveness analysis is a widely used educational evaluation tool. The randomized controlled trials that aim to evaluate the cost-effectiveness of the treatment are commonly referred to as randomized cost-effectiveness trials (RCETs). This study provides methods of power analysis for two-level multisite RCETs. Power computations take account of sample sizes, the effect size, covariates effects, nesting effects for both cost and effectiveness measures, the ratio of the total variance of the cost measure to the total variance of effectiveness measure, and correlations between cost and effectiveness measures at each level. Illustrative examples that show how power is influenced by the sample sizes, nesting effects, covariate effects, and correlations between cost and effectiveness measures are presented. We also demonstrate how the calculations can be applied in the design phase of two-level multisite RCETs using the software PowerUp!-CEA (Version 1.0).

Telehealth and the diagnosis and management of cardiac disease

2001 ◽  
Vol 7 (5) ◽  
pp. 249-256 ◽  
Author(s):  
G S Hooper ◽  
P Yellowlees ◽  
T H Marwick ◽  
P J Currie ◽  
B P Bidstrup
Keyword(s):  
Cost Effectiveness ◽  
Service Delivery ◽  
Cardiac Disease ◽  
Evidence Base ◽  
Rural Populations ◽  
Diagnosis And Management ◽  
Cost Reductions ◽  
Discharged Patients ◽  
Effectiveness Trials ◽  
Firm Evidence

The financial and personal burden of chronic cardiac disease is high. Costs are likely to increase over the next few decades. Promising applications of telehealth have appeared in the diagnosis and management of cardiac disease and there are indications that telehealth services can improve the management of chronic cardiac disease as well as extend services to remote and rural populations. Telehealth has been applied to the capture of symptoms of cardiac disease with electrocardiography and echocardiography, to the management and rehabilitation of recently discharged patients, and in peer-to-peer consultation where remote expertise can facilitate diagnosis. Telehealth promises cost reductions in service delivery, although there is a need for properly controlled cost-effectiveness trials to underpin telehealth with a firm evidence base.

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