Diffusion of robotic-assisted laparoscopic technology across specialties: a national study from 2008 to 2013

Abstract

Introduction

Robotic-assisted procedures were frequently found to have similar outcomes and indications to their laparoscopic counterparts, yet significant variation existed in the acceptance of robotic-assisted technology between surgical specialties and procedures. We performed a retrospective cohort study investigating factors associated with the adoption of robotic assistance across the United States from 2008 to 2013.

Methods

Using the Nationwide Inpatient Sample database, patient- and hospital-level variables were examined for differential distribution between robotic-assisted and conventional laparoscopic procedures. Multilevel logistic regression models were constructed to identify independent factors associated with robotic adoption. Furthermore, cases were stratified by procedure and specialty before being ranked according to proportion of robotic-assistance adoption. Correlation was examined between robotic-assistance adoption and relative outcome in comparison with conventional laparoscopic procedures.

Results

The national robotic case volume doubled over the five-year period while a gradual decline in laparoscopic case volume was observed, resulting in an increase in the proportion of procedures performed with robotic assistance from 6.8 to 17%. Patients receiving robotic procedures were more likely to be younger, males, white, privately insured, more affluent, and with less comorbidities. These differences have been decreasing over the study period. The three specialties with the highest proportion of robotic-assisted laparoscopic procedures were urology (34.1%), gynecology (11.0%), and endocrine surgery (9.4%). However, no significant association existed between the frequency of robotic-assistance usage and relative outcome statistics such as mortality, charge, or length of stay.

Conclusion

The variation in robotic-assistance adoption between specialties and procedures could not be attributable to clinical outcomes alone. Cultural readiness toward adopting new technology within specialty and target anatomic areas appear to be major determining factors influencing its adoption.

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