| Title |
Diffusion of robotic-assisted laparoscopic technology across specialties: a national study from 2008 to 2013
|
|---|---|
| Published in |
Surgical Endoscopy, August 2017
|
| DOI | 10.1007/s00464-017-5822-4 |
| Pubmed ID | |
| Authors |
Yen-Yi Juo, Aditya Mantha, Ahmad Abiri, Anne Lin, Erik Dutson |
| Abstract |
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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 36% |
| Spain | 2 | 18% |
| Colombia | 2 | 18% |
| Switzerland | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 5 | 9% |
| Other | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 31% |
| Engineering | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Business, Management and Accounting | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 21 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 August 2017.
All research outputs
#5,475,367
of 22,999,744 outputs
Outputs from Surgical Endoscopy
#903
of 6,096 outputs
Outputs of similar age
#85,103
of 316,647 outputs
Outputs of similar age from Surgical Endoscopy
#30
of 143 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,096 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,647 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.