ArticleJournal of orthopaedics2023
Comparing surgeon perception to publicly reported data using NSQIP.
Article in Journal of orthopaedics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- NSQIP data collection up to 30 postoperative days is sufficient to capture some complications in orthopedic surgeries.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Past studies have demonstrated that surgeons' perceptions of their own postsurgical complications may not be accurate. The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database is a nationally validated, risk-adjusted, outcomes-based program created to measure and improve the quality of surgical care. Using information acquired through survey data, the purpose of this study is to determine how surgeons' perceptions of their own postoperative complications rates compare to the NSQIP database that tracks these outcome metrics. Hypothesis/purpose: We hypothesize that surgeons underestimate their rates of morbidity, readmission, and reoperation within thirty days postoperatively when compared to NSQIP data. Study design: Data elements such as perceived morbidity, readmission, and reoperation were collected through surveys distributed at a large level one trauma center. Survey respondents were asked how their rates compared to their peers and physician survey responses were then compared to institutional NSQIP data. Results: 87.5% of surgeons underestimated their rates of morbidity, 35.4% underestimated their rates of readmission, 22.9% underestimated their rates of reoperation. When comparing themselves to their departmental averages, 57.78% accurately estimated their morbidity rates, 75.56% accurately estimated readmission rates, and 86.67% accurately estimated reoperation rates. Conclusion: Surgeons are poor predictors of individual 30-day postoperative complication rates including morbidity, readmission, and reoperation. However, surgeons are more accurate in estimating these same outcomes when asked to compare to the average of their department.
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