Analysis of Cause for Cancellation of Elective Operation

Park, Yung Hee; Jin, Hongyu

doi:10.4097/kjae.2008.54.5.486

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…Previous studies assessing surgery cancellation rates and the factors associated with surgery cancellations in patients with planned surgeries performed simple analyses of the relationship between the cancellation rate and other variables, including sex, age, department performing the surgery, day and month [3,7,13,14]. However, in this study, a comprehensive analysis of the factors associated with surgery cancellations was performed through grouping variables into general, surgical and operation schedule characteristics and including additional variables such as admission status, chronic diseases, anesthesia type, emergency status, pre-operative diagnosis and year and season when the surgery was planned.…”

Section: Discussionmentioning

confidence: 99%

“…Another study performed in Brazil showed the cancellation rate of 16.1% [17]. Moreover, from studies that only assessed planned surgery and excluded emergency surgery, diverse cancellation rates of 3.49%, 5.13%, 6.9% and 16.2% were obtained [4,13,14]. A study by Kaddoum et al reported that the cancellation rate of planned surgery was 4.4% [18].…”

Section: Discussionmentioning

confidence: 99%

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Reasons for Surgery Cancellation in a General Hospital: A 10-year Study

Cho

Lee

Kim

et al. 2018

IJERPH

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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 regional 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.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Reasons for Surgery Cancellation in a General Hospital: A 10-year Study

Cho

Lee

Kim

et al. 2018

IJERPH

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Factors Depending on the Possibility to Prevent Elective Operation Cancellation using Medical Record

Lee¹,

Lee²,

Ahn³

et al. 2010

Journal of the Korea Academia-Industrial cooperation Society

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The study was conducted on a total of 146 patients who cancelled planned surgeries at a University Hospital located in Daejeon for one year from Jan., 1 to Dec., 31, 2007 with the purpose of minimizing cancellation ratio of planned surgeries and thereby improving hospital management reasonably and raising service satisfaction. Participants in this study consisted of 56.8% of male patients and 43.2% of female patients, with a higher proportion of female than male patients. The causes of cancelled planned surgeries were classified into controllable and uncontrollable cases. 60.0% of the cases that cancelled planned surgeries were classified into controllable cases based on the classification of surgical risk. From these findings, the study proposes that researchers and hospital managers establish policy directions to reduce and improve surgery cancellation ratio.

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Analysis of Cause for Cancellation of Elective Operation

Cited by 2 publications

References 19 publications

Reasons for Surgery Cancellation in a General Hospital: A 10-year Study

Reasons for Surgery Cancellation in a General Hospital: A 10-year Study

Factors Depending on the Possibility to Prevent Elective Operation Cancellation using Medical Record

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