Magnitude and causes of cancelation for elective surgical procedures in Debre Tabor General hospital: A cross-sectional study

Root causes of first-case start time delays for elective surgical procedures: a prospective multicenter observational cohort study in Ethiopia

BACKGROUND

Delays in surgery start times can lead to poor patient outcomes and considerable increases in healthcare expenditures. This is especially true in developing countries that often face systemic inefficiencies, such as a shortage of operating rooms and trained surgical personnel. With substantial effects on patient outcomes, healthcare efficiency, and resource allocation, identifying delays in first-case elective surgery is a crucial area of research.

METHODS

A multicenter observational study was conducted at three comprehensive and specialized hospitals in the Amhara region of Ethiopia from May 1 to October 30, 2023. The primary aim of the study was to determine the occurrence of late first-case start times, defined as a patient being in the operating room at or after the hospital's incision time of 2:30 a.m. The secondary aim was to discover potential root causes of delayed first-case start times. All patients scheduled for elective surgery as the first case on the operating list throughout the study period were included in the study. Every emergency, day case, after-hours case, and canceled case was excluded.

RESULTS

A total of 530 surgical patients were included during the study window from May 1 to October 1, 2023. Of these, 41.5% were general surgeries, 20.4% were gynecology and obstetrics surgeries, and 13.2% were orthopedic surgery procedures. Before the procedure started, nine (1.7%) of the participants had prolonged discussion with a member of the surgical team. Patients who arrived in the operating room waiting area at or after 2:30 a.m. were 2.5 times more likely to experience a first-case start time delay than those who arrived before or at 2:00 a.m. (AOR = 2.50; 95% CI: 1.13-5.14). Furthermore, participants with abnormal investigation results were 2.4 times more likely to have a late first-case start time (AOR = 2.41; 95% CI: 1.06, 5.50). Moreover, the odds of a late first-case start time were increased by 10.53 times with the surgeon being in the operating room at or after 2:30 a.m. (AOR = 10.53; 95% CI: 5.51, 20.11).

CONCLUSION

The research highlights a significant occurrence of delayed start times for the first elective surgical procedures. Therefore, directing attention to aspects such as ensuring patients and surgical teams arrive promptly (by or before 2:00 a.m.) and timely evaluation and communication of investigative findings before the scheduled surgery day could facilitate efforts to maximize operating room efficiency and enhance patient health outcomes.

Case cancellations and associated factors on the day of surgery in hospitals of Wolaita Zone, South Ethiopia

BACKGROUND

Cancellations of elective surgery cases are frequent and have significant negative consequences. It causes wasting of valuable resources, patient unhappiness, and psychological stress of patients. Despite this, little is known about the case cancellation and associated factors on the day of surgery in Ethiopia, particularly in the study area.

OBJECTIVE

This study aimed to assess the magnitude of case cancellation and associated factors on the day of surgery in hospitals in Wolaita zone, South Ethiopia, from May 17 to June 17, 2023.

METHODS

A hospital-based cross-sectional study involving 322 patients was conducted at Wolaita Sodo Zone, South Ethiopia. All elective surgical cases scheduled during the study period were included. The entire number of participants was selected using a systematic random sampling process. Epidata V.3 was used to enter data, and SPSS V.25 was used to analyze it. Binary logistic regression was used to check for a possible association. P-values < 0.05 and 95% CI were used on multi-variable analysis as the threshold for the significant statistical association.

RESULT

A total of 313 study participants were scheduled for elective surgical procedures during the study period and gave a response rate of 97.2%. The mean (± SD) age of the study participants was 39.18 (± 10.64) years. The two-third of patients, 53(64%) were rural residents, and more than half (178, or 55.3%) of the participants were female. This finding showed that the case cancellation was 22.4% (95% CI: 19.3 -25.9%). Among the total canceled cases, 49(58.3%) were males. Variables like rural residence (AOR = 3.48 95% CI: 1.22-9.95), Lack of lab result (AOR = 2.33, 95%CI:1.20-4.51), ophthalmology dept. (AOR = 2.53 95% CI:1.52-4.49), HTN (AOR = 2.53, 95% CI:1.52-4.49), patient refusal (AOR = 3.01 95% CI:1.22-5.05), and age b/n 31 and 43 (AOR = 1.50, 95% CI:1.02-2.01) were significantly associated factors with cancellation of elective surgical cases.

CONCLUSION

In this study schedule of case cancellation was high. The contributing factors of case cancellation were rural residence, Lack of lab results, ophthalmology dept, HTN, patient refusal, and age. To decrease unnecessary cancellations and increase cost efficiency, hospital administration and medical staff must plan ahead carefully, communicate effectively, and make efficient use of hospital resources.

Incidence and root causes of surgery cancellations at an academic medical center in Iran: a retrospective cohort study on 29,978 elective surgical cases

INTRODUCTION

Canceling scheduled surgeries on the day of surgery places a heavy burden on healthcare providers and has psychological, social, and financial consequences on patients and their families. This study aimed to investigate the main reasons for cancellations of elective procedures and provide appropriate recommendations to reduce the rate of such avoidable cancellations.

METHODS

Data were collected retrospectively from all consecutive elective cases scheduled for various elective surgeries from January 1, 2020 to March 31, 2022 at Namazi Teaching Hospital, a major referral center in southern Iran with a capacity of 938 beds. Daily data were collected on the number of planned electives, cancellations, and reasons for cancellations. Surgical cancellation reasons were categorized as patient-related, surgeon-related, hospital/system-related, and anesthesia-related. Data were expressed as frequency (percentage) and analyzed with SPSS version 19 software.

RESULTS

The cancellation rate on surgery day for elective procedures in all fields was 6.3%. The highest cancellation rate was related to minor surgeries (19%), followed by urology (8%), pediatrics (7%), and plastic surgery (7%). The most common reasons for cancellation were patients not suitable for the procedure (37%), followed by patients who did not follow instructions (10%), lack of time (10.5%), and equipment/supplies problems (10%), and refusal to consent (6%).

CONCLUSIONS

According to this study, patients' unsuitability for surgery, non-compliance with instructions, lack of time, and problems with equipment/supplies are the main reasons for canceling surgery. Proper preoperative assessment and preparation of patients and improved communication between medical teams and patients reduce the cancellation of booked surgeries.

The impact of a preanesthesia assessment clinic on scheduled elective case cancelations at a Thai university hospital

Elective surgical case cancelations negatively impact healthcare systems and patient dissatisfaction. Preanesthesia assessment clinics (PACs) have been established in many countries to facilitate preoperative medical optimization. However, their benefits for elective procedure cancelations in Thailand have not been formally assessed. This study evaluated the impact of a PAC on scheduled elective surgical case cancelations at a Thai university hospital. A retrospective cross-sectional study was conducted for the period covering from May 2016 to April 2017. We included all scheduled elective surgical cases at Siriraj Hospital, Thailand, canceled on the day of surgery. The cancelation incidences of patients attending and not attending the PAC were compared. Cancellation reasons were categorized as "patient issue," "hospital-facility issue," "surgeon issue," "anesthesiologist issue," "medical condition," and "miscellaneous." The PAC patients' reasons were rigorously explored to determine their preventability. There were 30,351 scheduled elective procedures during the study period. The case-cancelation incidences were 0.9% (95% confidence interval [CI], 0.7-1.2%) for patients visiting the PAC and 5.9% (95% CI, 5.6-6.3%) for those who did not. Medical conditions were the most common reason for cancelation for non-PAC patients (27.3%), whereas hospital-facility issues were the most frequent for PAC patients (43.8%). The cancelation rate for patient issues was significantly lower in the PAC group (4.2% vs 20.7%; P < .05). Thirty-one (64.6%) of the PAC patients' cancelations were potentially preventable. Of the 15 PAC patient cancelations related to medical conditions, 12 were for patients with a history of acute illness and were determined to be nonpreventable. Visiting the PAC was significantly associated with a decreased elective-case cancelation rate. Cancellations were most frequently related to hospital-facility issues for patients visiting the PAC and medical conditions for those who did not. Some PAC patient cancelations for medical conditions involved unpreventable acute patient illnesses. Clinical Trials.gov (NCT02816281).

Cancellation of elective surgery and associated factors among patients scheduled for elective surgeries in public hospitals in Harari regional state, Eastern Ethiopia

Background

Canceling elective surgeries is a significant problem in many hospitals leading to patient dissatisfaction, increased costs, and emotional trauma for patients and their families. Despite this, there is limited information about the cancellation of elective surgeries in Ethiopia, mainly in the study area.

Objective

This study aimed to assess the magnitude of cancellation and associated factors among patients scheduled for elective surgeries in public hospitals in the Harari Regional State, Eastern Ethiopia, from 1 August to 30 August 2021.

Methods

A hospital-based cross-sectional study was conducted on 378 patients scheduled for elective surgeries. Data were gathered using a non-random sequential sampling approach. In addition, a structured face-to-face interviewer-administered questionnaire was employed. The gathered information was input into Epidata version 3.1 and then exported to Statistical Package for Social Software version 26. To find the variables associated with the cancellation of elective surgeries, binary and multi-variable logistic regression analyses were conducted. In the binary analysis, all variables with a p-value of less than 0.25 were included in the multivariable analysis. Finally, a 0.05 p-value with a 95% confidence interval and an adjusted odds ratio was used to declare a significant association.

Results

This study included 378 patients scheduled for elective surgeries. Among those, 35.2% of the surgeries were canceled (95% confidence interval: 29.4–39.6). Being female (adjusted odds ratio: 2.46; 95% confidence interval: 1.44–4.203), lack of formal education (adjusted odds ratio: 2.03; 95% confidence interval: 1.15–3.58), place of residence (adjusted odds ratio: 1.70; 95% confidence interval: 1.03–2.81), increase in blood pressure (adjusted odds ratio: 5.09; 95% confidence interval:1.90–13.59), and ophthalmologic surgery (adjusted odds ratio: 3.76; 95% confidence interval: 1.41–10.0) were factors associated with the cancellation of elective surgeries.

Conclusion

In this study, nearly one third of scheduled elective surgery was canceled. The primary contributing variables to the surgery cancellations were being female, lack of formal education, place of residence, ophthalmologic surgery, and increased blood pressure. Therefore, timely evidence-based reporting through the supervision team was advised to decrease cancellations.

Magnitude and reasons of surgery cancellation among elective surgical cases in Wolaita Sodo University Comprehensive Specialized Hospital, Southern Ethiopia, 2021

Background

Cancellations of cases are common; most of those cancellations are due to avoidable causes. It is a major cause of psychological trauma for patients and their families. Although little is known in Ethiopia, the aim of this study is aimed to assess the prevalence and the cause of elective surgery cancellation.

Methods

A cross-sectional prospective study design was conducted on 326 patients scheduled for elective surgery from October 1 to December 1st. All consecutive elective surgical cases scheduled during the study period were included in the study. Data were collected using a prepared and pretested questionnaire and entered into SPSS version 23 for analysis. The result of the study was reported in the form of text, tables, and graphs.

Result

During the study, 326 patients were scheduled for elective surgery, among those, 83(25.6%) of surgery was canceled. Patient-related (31.32%) and administrative-related (26.5%) factors were the two most causes of cancellation.

Conclusion

Patient-related and administrative-related factors were the leading causes of cancellation of elective surgical operations in our hospital. Concerned bodies should bring a sustainable change and improvement to prevent unnecessary cancellations and enhance cost-effectiveness through communications, careful planning and efficient utilization of the available hospital resources.