Literature DB >> 27192348

Surgeon Perception of Risk and Benefit in the Decision to Operate.

Greg D Sacks1, Aaron J Dawes, Susan L Ettner, Robert H Brook, Craig R Fox, Melinda Maggard-Gibbons, Clifford Y Ko, Marcia M Russell.   

Abstract

OBJECTIVE: To determine how surgeons' perceptions of treatment risks and benefits influence their decisions to operate.
BACKGROUND: Little is known about what makes one surgeon choose to operate on a patient and another chooses not to operate.
METHODS: Using an online study, we presented a national sample of surgeons (N = 767) with four detailed clinical vignettes (mesenteric ischemia, gastrointestinal bleed, bowel obstruction, appendicitis) where the best treatment option was uncertain and asked them to: (1) judge the risks (probability of serious complications) and benefits (probability of recovery) for operative and nonoperative management and (2) decide whether or not they would recommend an operation.
RESULTS: Across all clinical vignettes, surgeons varied markedly in both their assessments of the risks and benefits of operative and nonoperative management (narrowest range 4%-100% for all four predictions across vignettes) and in their decisions to operate (49%-85%). Surgeons were less likely to operate as their perceptions of operative risk increased [absolute difference (AD) = -29.6% from 1.0 standard deviation below to 1.0 standard deviation above mean (95% confidence interval, CI: -31.6, -23.8)] and their perceptions of nonoperative benefit increased [AD = -32.6% (95% CI: -32.8,--28.9)]. Surgeons were more likely to operate as their perceptions of operative benefit increased [AD = 18.7% (95% CI: 12.6, 21.5)] and their perceptions of nonoperative risk increased [AD = 32.7% (95% CI: 28.7, 34.0)]. Differences in risk/benefit perceptions explained 39% of the observed variation in decisions to operate across the four vignettes.
CONCLUSIONS: Given the same clinical scenarios, surgeons' perceptions of treatment risks and benefits vary and are highly predictive of their decisions to operate.

Entities:  

Mesh:

Year:  2016        PMID: 27192348     DOI: 10.1097/SLA.0000000000001784

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  19 in total

1.  Predictive Factors of Intestinal Necrosis in Acute Mesenteric Ischemia: Prospective Study from an Intestinal Stroke Center.

Authors:  Alexandre Nuzzo; Leon Maggiori; Maxime Ronot; Aymeric Becq; Aurelie Plessier; Nathalie Gault; Francisca Joly; Yves Castier; Valerie Vilgrain; Catherine Paugam; Yves Panis; Yoram Bouhnik; Dominique Cazals-Hatem; Olivier Corcos
Journal:  Am J Gastroenterol       Date:  2017-03-07       Impact factor: 10.864

2.  A Framework to Improve Surgeon Communication in High-Stakes Surgical Decisions: Best Case/Worst Case.

Authors:  Lauren J Taylor; Michael J Nabozny; Nicole M Steffens; Jennifer L Tucholka; Karen J Brasel; Sara K Johnson; Amy Zelenski; Paul J Rathouz; Qianqian Zhao; Kristine L Kwekkeboom; Toby C Campbell; Margaret L Schwarze
Journal:  JAMA Surg       Date:  2017-06-01       Impact factor: 14.766

3.  Validation of an online risk calculator for the prediction of anastomotic leak after colon cancer surgery and preliminary exploration of artificial intelligence-based analytics.

Authors:  T Sammour; L Cohen; A I Karunatillake; M Lewis; M J Lawrence; A Hunter; J W Moore; M L Thomas
Journal:  Tech Coloproctol       Date:  2017-10-28       Impact factor: 3.781

4.  Heuristics and bias in rectal surgery.

Authors:  Ewan MacDermid; Christopher J Young; Susan J Moug; Robert G Anderson; Heather L Shepherd
Journal:  Int J Colorectal Dis       Date:  2017-04-25       Impact factor: 2.571

5.  "Best Case/Worst Case": Training Surgeons to Use a Novel Communication Tool for High-Risk Acute Surgical Problems.

Authors:  Jacqueline M Kruser; Lauren J Taylor; Toby C Campbell; Amy Zelenski; Sara K Johnson; Michael J Nabozny; Nicole M Steffens; Jennifer L Tucholka; Kris L Kwekkeboom; Margaret L Schwarze
Journal:  J Pain Symptom Manage       Date:  2017-01-04       Impact factor: 3.612

6.  A model to predict postoperative complications for otorhinolaryngology and maxillofacial surgery procedures in elderly patients.

Authors:  Luca Giovanni Locatello; Lara Valentina Comini; Alessandra Bettiol; Alfredo Vannacci; Giuseppe Spinelli; Giuditta Mannelli
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-06-03       Impact factor: 2.503

7.  Factors influencing credentialing of interventionists in the CREST-2 trial.

Authors:  Brajesh K Lal; James F Meschia; Gary S Roubin; Brian Jankowitz; Donald Heck; Tudor Jovin; Christopher J White; Kenneth Rosenfield; Barry Katzen; Guilherme Dabus; William Gray; Jon Matsumura; L Nelson Hopkins; Sothear Luke; Jashank Sharma; Jenifer H Voeks; George Howard; Thomas G Brott
Journal:  J Vasc Surg       Date:  2019-07-26       Impact factor: 4.268

8.  Report of a Quality Improvement Program for Reducing Postoperative Complications by Using a Surgical Risk Calculator in a Cohort of General Surgery Patients.

Authors:  Elisa M Müller; Eva Herrmann; Thomas Schmandra; Thomas F Weigel; Ernst Hanisch; Alexander Buia
Journal:  World J Surg       Date:  2020-06       Impact factor: 3.352

Review 9.  Artificial Intelligence and Surgical Decision-making.

Authors:  Tyler J Loftus; Patrick J Tighe; Amanda C Filiberto; Philip A Efron; Scott C Brakenridge; Alicia M Mohr; Parisa Rashidi; Gilbert R Upchurch; Azra Bihorac
Journal:  JAMA Surg       Date:  2020-02-01       Impact factor: 14.766

10.  Performance Comparison Between SURPAS and ACS NSQIP Surgical Risk Calculator in Pulmonary Resection.

Authors:  Neel P Chudgar; Shi Yan; Meier Hsu; Kay See Tan; Katherine D Gray; Daniela Molena; Tamar Nobel; Prasad S Adusumilli; Manjit Bains; Robert J Downey; James Huang; Bernard J Park; Gaetano Rocco; Valerie W Rusch; Smita Sihag; David R Jones; James M Isbell
Journal:  Ann Thorac Surg       Date:  2020-10-16       Impact factor: 4.330

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