Variability in risk tolerance and adherence to guidelines in “go or no‐go” decisions among anesthetists handling obstetric patients in Saudi Arabia

Background: Decision-making in obstetric anesthesia is critical for patient safety. Yet, adherence to clinical guidelines varies among anesthetists. Previous research has shown significant variability in risk tolerance when making "go or no-go" decisions. Still, limited data exist on how these decisions are influenced by experience and training in obstetric cases. This study aims to assess the variability in risk tolerance and adherence to guidelines among anesthetists providing care to obstetric patients in Saudi Arabia and identify factors influencing their decisions. Methods: A cross-sectional, questionnaire-based study was conducted among 188 anesthetists practicing in Saudi Arabia. The survey included 10 clinical scenarios requiring anesthetists to decide whether to proceed with anesthesia under suboptimal conditions. Responses were analyzed using a four-point Likert scale. Descriptive statistics and Chi-square tests were used to assess the association between decision-making and independent factors such as level of training, years of experience, and previous exposure to similar cases. Results: < 0.0001). Training level, experience, and training location had no significant impact. Conclusion: Variability in decision-making suggests that risk tolerance is not solely dependent on experience but is shaped by prior case exposure. Strengthening simulation-based training and structured risk assessment tools may improve adherence to clinical guidelines in obstetric anesthesia.

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Publication Details

Journal
Saudi Journal of Anaesthesia
Published
2026-04-01
DOI
https://doi.org/10.4103/sja.sja_743_25
Primary Topic
Patient Safety and Medication Errors
Type
article
Field-Weighted Citation Impact
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article

Variability in risk tolerance and adherence to guidelines in “go or no‐go” decisions among anesthetists handling obstetric patients in Saudi Arabia

Alaa Sabbahi, Sarah Farsi, Abdulaziz M. Boker, Linah M. Kamal
Saudi Journal of Anaesthesia
Patient Safety and Medication Errors
article

Variability in risk tolerance and adherence to guidelines in “go or no‐go” decisions among anesthetists handling obstetric patients in Saudi Arabia

Alaa Sabbahi, Sarah Farsi, Abdulaziz M. Boker, Linah M. Kamal
article en

Abstract

Background: Decision-making in obstetric anesthesia is critical for patient safety. Yet, adherence to clinical guidelines varies among anesthetists. Previous research has shown significant variability in risk tolerance when making "go or no-go" decisions. Still, limited data exist on how these decisions are influenced by experience and training in obstetric cases. This study aims to assess the variability in risk tolerance and adherence to guidelines among anesthetists providing care to obstetric patients in Saudi Arabia and identify factors influencing their decisions. Methods: A cross-sectional, questionnaire-based study was conducted among 188 anesthetists practicing in Saudi Arabia. The survey included 10 clinical scenarios requiring anesthetists to decide whether to proceed with anesthesia under suboptimal conditions. Responses were analyzed using a four-point Likert scale. Descriptive statistics and Chi-square tests were used to assess the association between decision-making and independent factors such as level of training, years of experience, and previous exposure to similar cases. Results: < 0.0001). Training level, experience, and training location had no significant impact. Conclusion: Variability in decision-making suggests that risk tolerance is not solely dependent on experience but is shaped by prior case exposure. Strengthening simulation-based training and structured risk assessment tools may improve adherence to clinical guidelines in obstetric anesthesia.

Saudi Journal of AnaesthesiaVol. 20(2)
King Abdulaziz University (SA), Maternity and Children's Hospital (SA), King Abdulaziz Hospital (SA)
Peace, Justice and strong institutions
Openalex Percentile: Top 28%
Patient Safety and Medication Errors
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