The design and analysis of stochastic costeffectiveness studies for the evaluation of health care interventions
Many clinical trials are in progress which involve the collection of patient-level data on both the health outcome and resource use consequences of the health care interventions under evaluation. The overall aim of many such evaluations will be to undertake a cost-effectiveness analysis, which will...
| Format: | Journal article |
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| Published: |
Stockholm School of Economics
1998
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| _version_ | 1826278995307528192 |
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| collection | OXFORD |
| description | Many clinical trials are in progress which involve the collection of patient-level data on both the health outcome and resource use consequences of the health care interventions under evaluation. The overall aim of many such evaluations will be to undertake a cost-effectiveness analysis, which will often result in a cost-effectiveness ratio summarising the value for money of the intervention in question. In this paper, we explore the issues surrounding the design and analysis of such studies. At the design stage of an analysis, we propose an improved sample size formula for cost-effectiveness analysis that allows for covariance between cost and effect differences. This approach is based on the 'net benefits' approach to the analysis of uncertainty in cost-effectiveness analysis. At the analysis stage of an evaluation, we explore the differences and similarities of the 'net benefit' approach to analysing cost-effectiveness information and the traditional approach based on cost-effectiveness ratios. Despite the apparent differences, we show that the two approaches are exactly equivalent when it comes to estimating the probability that the intervention is cost-effective under alternative values of the ceiling cost-effectiveness ratio appropriate for decision-making purposes. |
| first_indexed | 2024-03-06T23:52:14Z |
| format | Journal article |
| id | oxford-uuid:72fe8c14-7f6d-4141-8cc8-fed1c52ea2c2 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T23:52:14Z |
| publishDate | 1998 |
| publisher | Stockholm School of Economics |
| record_format | dspace |
| spelling | oxford-uuid:72fe8c14-7f6d-4141-8cc8-fed1c52ea2c22022-03-26T19:53:40ZThe design and analysis of stochastic costeffectiveness studies for the evaluation of health care interventionsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:72fe8c14-7f6d-4141-8cc8-fed1c52ea2c2Public Health and Primary CareOxford University Research Archive - ValetStockholm School of Economics1998Many clinical trials are in progress which involve the collection of patient-level data on both the health outcome and resource use consequences of the health care interventions under evaluation. The overall aim of many such evaluations will be to undertake a cost-effectiveness analysis, which will often result in a cost-effectiveness ratio summarising the value for money of the intervention in question. In this paper, we explore the issues surrounding the design and analysis of such studies. At the design stage of an analysis, we propose an improved sample size formula for cost-effectiveness analysis that allows for covariance between cost and effect differences. This approach is based on the 'net benefits' approach to the analysis of uncertainty in cost-effectiveness analysis. At the analysis stage of an evaluation, we explore the differences and similarities of the 'net benefit' approach to analysing cost-effectiveness information and the traditional approach based on cost-effectiveness ratios. Despite the apparent differences, we show that the two approaches are exactly equivalent when it comes to estimating the probability that the intervention is cost-effective under alternative values of the ceiling cost-effectiveness ratio appropriate for decision-making purposes. |
| spellingShingle | Public Health and Primary Care The design and analysis of stochastic costeffectiveness studies for the evaluation of health care interventions |
| title | The design and analysis of stochastic costeffectiveness
studies for the evaluation of health care
interventions |
| title_full | The design and analysis of stochastic costeffectiveness
studies for the evaluation of health care
interventions |
| title_fullStr | The design and analysis of stochastic costeffectiveness
studies for the evaluation of health care
interventions |
| title_full_unstemmed | The design and analysis of stochastic costeffectiveness
studies for the evaluation of health care
interventions |
| title_short | The design and analysis of stochastic costeffectiveness
studies for the evaluation of health care
interventions |
| title_sort | design and analysis of stochastic costeffectiveness studies for the evaluation of health care interventions |
| topic | Public Health and Primary Care |