Abstract
Background: This study researched related causes that make scheduled surgeries canceled not to be conducted and based on the research it is to derive issues in order to reduce surgery cancellation. Methods: We analyzed the association of surgery cancellation with patient characteristics, surgical characteristics and surgery schedule related characteristics, using electronic medical record (EMR) data on surgeries conducted at a university hospital in Korea over 10 years. Additionally, we examined the reasons for surgery cancellation based on patient and hospital characteristics. We used chi-square tests to analyze the distribution of various characteristics according to reasons for surgery cancellation. Multivariate logistic regression analyses were conducted to evaluate the factors associated with surgery cancellation. Results: Among 60,333 cases, surgery cancellation rate was 8.0%. The results of the logistic regression indicated a high probability of surgery cancellation when the patient was too old (odds ratio [OR]: 1.35, 95% confidence interval [CI]: 1.14⁻1.59), when it was a neurosurgery case (OR: 1.39, 95% CI: 1.21⁻1.59), when local anesthesia was used (OR: 1.15, 95% CI: 1.07⁻1.24) or when it was a planned surgery (OR: 2.45, 95% CI: 2.21⁻2.73). The surgery cancellation rate was lower when the patient was female (OR: 0.87, 95% CI: 0.82⁻0.93) or when the surgery was related to Obstetrics & Gynecology (OR: 0.53, 95% CI: 0.46⁻0.60) or Ophthalmology (OR: 0.66, 95% CI: 0.56⁻0.79). Among the canceled 4834 cases, the surgery cancellation rate for the reasons of patients was 93.2% and the surgery cancellation rate for the reasons of a hospital was 6.8%. Conclusions: This study found that there are related various causes to cancel operations, including patient characteristics, surgery related characteristics and surgery schedule related characteristics and it means that it would be possible for some reasons to be prevented. Every medical institution should consider the operation cancellation as an important issue and systematic monitoring should be needed.