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Copyright ©The Author(s) 2015.
World J Clin Cases. Mar 16, 2015; 3(3): 265-269
Published online Mar 16, 2015. doi: 10.12998/wjcc.v3.i3.265
Table 1 Drawbacks associated with robotic surgery
DrawbackDiscussion
CostThe da Vinci system costs approximately $1.5 million with maintenance fees of about $150000 per year[43,44]. Likewise, robotic endovascular catheter systems are expensive, have high maintenance costs, with the additional cost of disposable catheters. However, there is no conclusive data regarding the cost-effectiveness of these robotic systems. Moreover, an economic model, with quality of life adjustment, has not been performed for any of the robotic systems[44]
EvidenceCurrently, the evidence for robotic surgery’s efficacy and safety is largely from retrospective studies often with small sample sizes or from an institution’s initial cases/experiences, where the surgeon may be at the start of his/her learning curve[44]. Hence, conclusions about safety and efficacy must be interpreted with caution
Preparation, floor space and emergenciesThe Theatre team must also be trained with the device set-up including troubleshooting problems that may arise during operations. Hence, the robotic surgery venture is likely a time, cost and resource-intensive process[45]. Moreover, considerable floor space is needed, with bulky instruments; this may be problematic and considerable cost may be incurred for renovations before robotic surgery can be employed. Furthermore, in an emergency, there may be a delay in converting to an open procedure since the bulky instruments cannot be as easily removed as in conventional laparoscopy[44]
Unproven efficacyCurrent evidence base for efficacy of robotic surgery is mainly from small, retrospective studies. Prospective, multicentre randomized clinical trials to evaluate safety, efficacy, long term outcomes and cost analysis are required to prove that robotic assistance is indeed superior to conventional techniques before its widespread use
Table 2 Definitions of validity and reliability
TypeDefinition
Face ValidityExtent to which the simulator resembles real life scenarios
Content ValidityExtent to which the domain that is being measured is being measured by the simulator/assessment tool
Construct ValidityExtent to which a simulator measures the trait it purports to measure
Concurrent ValidityExtent to which the results of the assessment tool correlate with the gold standard for that domain
Predictive ValidityAbility of the simulator to predict future performance
Test-Retest ReliabilityMeasure of a test to generate similar results when applied at two different points
Inter-Rater ReliabilityMeasure of agreement between two or more observers when rating an individual’s performance