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.

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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
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article

Preoperative waiting time and no-show risk in day surgery: a large-scale cohort study

Leiwen Tang, Meijuan Lan, Huadi Yuan, Lu Liu et al.
Frontiers in Medicine
Healthcare Operations and Scheduling Optimization
article

Preoperative waiting time and no-show risk in day surgery: a large-scale cohort study

Leiwen Tang, Meijuan Lan, Huadi Yuan, Lu Liu, Xiajuan Jiang, Qianyin Zhu, Dingjie Xin, Xiaoyan Wu
article en

Abstract

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.

Frontiers in MedicineVol. 13
Second Affiliated Hospital of Zhejiang University (CN)
Decent work and economic growth
Openalex Percentile: Top 18%
Healthcare Operations and Scheduling Optimization
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