Preoperative waiting time and no-show risk in day surgery: a large-scale cohort study
Background: No-shows in day surgery represent a global challenge that undermines healthcare efficiency, leading to substantial resource waste and increased operational costs. Preoperative waiting time is a key factor influencing patient attendance. This study investigated the association between preoperative waiting time and the risk of day-surgery no-shows. Methods: This retrospective cohort study included 79,516 day-surgery patients. Demographic characteristics, surgical information, and preoperative waiting time were extracted from the electronic medical record system. Patients were categorized into quartiles according to waiting time: Q1 (0-<3 days), Q2 (3-<6 days), Q3 (6-<11 days), and Q4 (≥11 days). Multivariable logistic regression and restricted cubic spline (RCS) analyses were performed to quantify the association between preoperative waiting time and no-show risk. Results: for nonlinearity <0.001). The no-show risk rose sharply when waiting time exceeded approximately 6 days. Conclusion: Our data showed a significant association between longer preoperative waiting time and an increased risk of no-show among day-surgery patients. This association became more apparent when the preoperative waiting time exceeded approximately 6 days. These findings provide preliminary quantitative evidence regarding the relationship between preoperative waiting time and no-show risk in day surgery.
Authors
- Leiwen Tang (ORCID: https://orcid.org/0000-0003-4058-0161)
- Meijuan Lan (ORCID: https://orcid.org/0000-0001-9601-4068)
- Huadi Yuan
- Lu Liu (ORCID: https://orcid.org/0000-0001-8023-7187)
- Xiajuan Jiang
- Qianyin Zhu
- Dingjie Xin
- Xiaoyan Wu
Institutions
- Second Affiliated Hospital of Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-04-20
- DOI
- https://doi.org/10.3389/fmed.2026.1810536
- Primary Topic
- Healthcare Operations and Scheduling Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00