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Extending mechanical thrombectomy service provision to 24/7: a break-even analysis
Joyce S Balami1,2, Gary A Ford3,4, Alastair M Buchan1,5
1Acute Stroke Programme, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
BMC Health Services Research
|August 7, 2024
Summary
Extending mechanical thrombectomy (MT) services to 24/7 requires treating approximately 750 additional stroke patients annually to be cost-effective. This ensures health economic benefits outweigh the increased costs of 24/7 mechanical thrombectomy care.
Area of Science:
- Health Economics
- Stroke Care Management
- Health Service Provision
Background:
- Investment proposals for 24/7 mechanical thrombectomy (MT) in England focus on financial accounting.
- An affordability question arises regarding the health economic benefits versus costs of extending MT services.
- Quality-adjusted life years (QALYs) and societal cost savings are key metrics for evaluating MT's value.
Purpose of the Study:
- To determine the additional mechanical thrombectomy (MT) treatment volume needed to offset costs with health economic benefits.
- To assess the affordability of extending MT services to a 24/7 provision from a health economic perspective.
Main Methods:
- A break-even analysis was performed to calculate the required additional MT treatment volume.
- Incremental hospital costs for 24/7 MT were estimated using data from four business cases.
- A Markov chain-based model was adapted to estimate additional societal cost savings and health benefits.
Main Results:
- Annual costs for 24/7 MT extension are estimated at a mean of £3,756,818.
- An average of 750 additional eligible stroke patients treated annually makes the 24/7 service affordable.
- Additional facility and equipment costs account for 20% of the estimate.
Conclusions:
- Findings inform the debate on optimal MT treatment volumes for 24/7 services and hospital organization.
- Regional coordination is needed for equitable patient access to MT and to achieve optimal treatment volumes.
- Further research should replicate the analysis in different health service settings and decision-making contexts.

