You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
How many operating rooms are needed to manage non-elective surgical cases? A Monte Carlo simulation study
|
|---|---|
| Published in |
BMC Health Services Research, October 2015
|
| DOI | 10.1186/s12913-015-1148-x |
| Pubmed ID | |
| Authors |
Joseph M. O’Brien Antognini, Joseph F. Antognini, Vijay Khatri |
| Abstract |
Patients often wait to have urgent or emergency surgery. The number of operating rooms (ORs) needed to minimize waiting time while optimizing resources can be determined using queuing theory and computer simulation. We developed a computer program using Monte Carlo simulation to determine the number of ORs needed to minimize patient wait times while optimizing resources. We used patient arrival data and surgical procedure length from our institution, a tertiary-care academic medical center that serves a large diverse population. With ~4800 patients/year requiring non-elective surgery, and mean procedure length 185 min (median 150 min) we determined the number of ORs needed during the day and evening (0600-2200) and during the night (2200-0600) that resulted in acceptable wait times. Simulation of 4 ORs at day/evening and 3 ORs at night resulted in median wait time = 0 min (mean = 19 min) for emergency cases requiring surgery within 2 h, with wait time at the 95th percentile = 109 min. Median wait time for urgent cases needing surgery within 8-12 h was 34 min (mean = 136 min), with wait time at the 95th percentile = 474 min. The effect of changes in surgical length and volume on wait times was determined with sensitivity analysis. Monte Carlo simulation can guide decisions on how to balance resources for elective and non-elective surgical procedures. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 14% |
| Student > Master | 5 | 12% |
| Professor | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 9 | 21% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 31% |
| Engineering | 7 | 17% |
| Business, Management and Accounting | 4 | 10% |
| Arts and Humanities | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 11 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 November 2015.
All research outputs
#14,102,908
of 23,881,329 outputs
Outputs from BMC Health Services Research
#4,842
of 7,949 outputs
Outputs of similar age
#138,591
of 287,384 outputs
Outputs of similar age from BMC Health Services Research
#69
of 129 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,949 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 287,384 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 50% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.