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Published on: January 6, 2023
Economic Evaluations of Robotic-Assisted Surgery: Methods, Challenges and Opportunities
Tzu-Jung Lai1, Robert Heggie2, Hanin-Farhana Kamaruzaman2,3
1Health Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, UK. t.lai.1@research.gla.ac.uk.
Background:
The use of robotic-assisted surgery (RAS) is growing rapidly. However, economic evaluation of this technology is challenging. This study aims to identify and discuss the different economic evaluation methods which have been used to evaluate RAS.
Method:
This scoping review systematically searched PubMed and Embase from 2015 to 2023. We included economic evaluation studies comparing RAS versus laparoscopic or open surgery. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist was used to aid data extraction and was extended to cover additional features relevant to RAS, including learning curve, organisational impact, incremental innovation and dynamic pricing.
Results:
A total of 50 economic evaluations of RAS were included. Cost-utility analysis (46%) was the most commonly applied economic evaluation method, followed by cost-consequence analysis (32%). The studies focused on the specialties of urology (42%), hepato-pancreato-biliary (20%), colorectal (14%) and gynaecology (6%). Distinctive features related to the assessment of RAS were under-addressed in economic evaluations. Only 40% of the included studies considered learning curve and organisational impact and less than 12% of the included studies reflected on incremental innovation and dynamic pricing.
Conclusions:
This review found that some studies have incorporated challenges specific to RAS in their evaluations. However, most studies still lack key aspects of importance. In particular, studies rarely considered the ability of RAS platforms to be shared across multiple specialities. Incorporating these distinctive features offers an opportunity for economic evaluation to provide decision-makers with a more realistic assessment of the cost-effectiveness of this technology and to ensure its optimal utilisation in clinical practice.
