ArticleThe Laryngoscope2022
Risk Factors for Operating Room No-Show in an Academic Otolaryngology Practice.
Article in The Laryngoscope, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Preoperative waiting time and no-show risk in day surgery: a large-scale cohort study.Frontiers in medicine · 2026Article
- Predictive Optimization of Patient No-Show Management in Primary Healthcare Using Machine Learning.Journal of medical systems · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectives/hypothesisA no-show to the operating room date negatively impacts a hospital and can lead to increased costs for an institution in terms of time, materials, and manpower. Our objectives are to identify the factors associated with operating room no-shows in order to increase clinical efficiency, reduce hospital costs, and increase patient access to care. STUDY
designSingle institution retrospective chart review.
methodsA retrospective review was performed of all surgeries within the Otolaryngology department performed at a single tertiary academic center between 2006 and 2019. Demographic and surgical data were collected from the charts. Descriptive, univariate, and multivariate statistics were performed on the data.
resultsThere were a total of 1,752 no-shows and 46,440 patients who did show with an overall no-show rate of 3.63%. A multivariate logistic regression analysis was performed to compare patients who did not show for surgery to those who did. Analysis found multiple risk factors for not showing to surgery that were statistically significant (P < .05) and included decreasing age, planned outpatient case, head and neck oncology subspecialty, increasing distance from the facility, higher number of clinic no-shows, and not having private insurance. African-American race was more likely to show for surgery as scheduled.
conclusionsNumerous factors may play a role on whether or not a patient attends a scheduled surgical date. Some of these factors may be preventable or modifiable to mitigate increased hospital costs associated with no-show to surgery and increase access to care. LEVEL OF EVIDENCE: 3 Laryngoscope, 132:1738-1742, 2022.
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Registered trials
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