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Preoperative waiting time and no-show risk in day surgery: a large-scale cohort study
Xiaoyan Wu1, Qianyin Zhu1, Meijuan Lan1
1Department of Nursing, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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:
Among the 79,516 patients undergoing day surgery, 2,009 (2.53%) experienced no-show. The median waiting time was 6 (3-11) days. After adjusting for confounding factors, longer preoperative waiting was significantly associated with increased odds of no-shows(p < 0.001). RCS analysis revealed a nonlinear dose-response relationship (p for trend <0.001; p 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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