ArticlePatient safety in surgery2022
Attitudes about use of preoperative risk assessment tools: a survey of surgeons and surgical residents in an academic health system.
Article in Patient safety in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Balancing Objectivity and Humanity: Ethical Challenges and Considerations in Surgical Candidacy Decisions.HEC forum : an interdisciplinary journal on hospitals' ethical and legal issues · 2026Article
- Artificial intelligence-enabled clinical decision support systems in preadmission testing: a scoping review of risk prediction, triage, and perioperative workflows (2020-2025).Journal of clinical monitoring and computing · 2026Article
- Use of Structured Risk Scores in Preoperative Pulmonary Assessment Among Pulmonologists and Pulmonary Medicine Residents in Türkiye: A Cross-Sectional Online Survey.Journal of multidisciplinary healthcare · 2026Article
- Overcoming the data barrier: transfer learning for 90-day mortality prediction in general surgery - a retrospective multicenter development and comparison study.International journal of surgery (London, England) · 2026Article
- Perioperative Risk Prediction in Major Gynaecological Oncology Surgery: A National Diagnostic Survey of UK Clinical Practice.Diagnostics (Basel, Switzerland) · 2025Article
- A Qualitative Study on Surgeon Perceptions of Risk Calculators in Emergency General Surgery.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025Article
- 90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study.International journal of surgery (London, England) · 2025Article
- Wearable Sensors as a Preoperative Assessment Tool: A Review.Sensors (Basel, Switzerland) · 2024Review
- Current use of the National Surgical Quality Improvement Program surgical risk calculator in academic surgery: a mixed-methods study.Surgery in practice and science · 2023Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFormal surgical risk assessment tools have been developed to predict risk of adverse postoperative patient outcomes. Such tools accurately predict common postoperative complications, inform patients and providers of likely perioperative outcomes, guide decision making, and improve patient care. However, these are underutilized. We studied the attitudes towards and techniques of how surgeons preoperatively assess risk.
methodsSurgeons at a large academic tertiary referral hospital and affiliate community hospitals were emailed a 16-question survey via REDCap (Research Electronic Data Capture) between 8/2019-6/2020. Reminder emails were sent once weekly for three weeks. All completed surveys by surgical residents and attendings were included; incomplete surveys were excluded. Surveys were analyzed using descriptive statistics (frequency distributions and percentages for categorical variables, means, and standard deviations for continuous variables), and Fisher's exact test and unpaired t-tests comparing responses by surgical attendings vs. residents.
resultsA total of 108 surgical faculty, 95 surgical residents, and 58 affiliate surgeons were emailed the survey. Overall response rates were 50.0% for faculty surgeons, 47.4% for residents, and 36.2% for affiliate surgeons. Only 20.8% of surgeons used risk calculators most or all of the time. Attending surgeons were more likely to use prior experience and current literature while residents used risk calculators more frequently. Risk assessment tools were more likely to be used when predicting major complications and death in older patients with significant risk factors. Greatest barriers for use of risk assessment tools included time, inaccessibility, and trust in accuracy.
conclusionsA small percentage of surgeons use surgical risk calculators as part of their routine practice. Time, inaccessibility, and trust in accuracy were the most significant barriers to use.
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