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April 30, 2026Health Affairs Scholar0 citationsOpen Access

Patterns in Malpractice Payments for Anesthesia-Related Claims Among CRNAs and Physicians

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CTChristine M. TracyKWKatherine WrightGSGreg Saldutte

Key Points

  • This research examines malpractice payments and injury severity among CRNAs and physicians in anesthesia care.
  • Analyzed 2011–2023 National Practitioner Data Bank Public Use File data
  • Compared payment characteristics and allegation types for CRNAs and physicians
  • Estimated probabilities of severe injury using bias-reduced logistic regression
  • Among 3,775 malpractice payments, severity patterns were similar for both groups
  • Probability of severe injury was 57.1% for physicians and 55.9% for CRNAs
  • Findings indicate comparable malpractice payment patterns for CRNAs and physicians

Abstract

Abstract Background Certified Registered Nurse Anesthetists (CRNAs) now deliver much of U.S. anesthesia care, especially in rural areas, yet contemporary evidence comparing their malpractice payments with those of physicians remains limited. Methods Using 2011–2023 National Practitioner Data Bank Public Use File data, we examined anesthesia-related malpractice payments, comparing payment characteristics, injury severity, and allegation types for CRNAs and physicians. We estimated adjusted probabilities of severe injury using bias-reduced logistic regression and analyzed national workforce data to provide context for interpreting malpractice payment patterns. Results Among 3,775 anesthesia-related malpractice payments, severity patterns were similar for CRNAs and physicians. In adjusted models with continuous year and state fixed effects, the probability of severe injury was 57.1% (95% CI: 37.1%–74.6%) for physicians and 55.9% (95% CI: 35.5%–74.2%) for CRNAs, an adjusted difference of −1.2 percentage points (95% CI roughly −21 to +19). Most events occurred in inpatient settings, and patient age clustered in the 50s. Conclusions National NPDB data show broadly comparable malpractice payment patterns and claim severity for CRNAs and physicians. These findings inform federal and state discussions on anesthesia workforce configuration, access to care, and liability environments, and may guide policymakers evaluating supervision requirements, workforce distribution, and risk-management strategies.

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Cite This Study

Tracy et al. (2026) studied this question.

synapsesocial.com/papers/69f2a47b8c0f03fd6776388ehttps://doi.org/10.1093/haschl/qxag096
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The National Practitioner Data Bank and Anesthesia Malpractice Payments2006 · 21 citations
  2. 2Analysis of patient injury based on anesthesiology closed claims data from a major malpractice insurer2014 · 25 citations
  3. 3Characteristics of Nurse Anesthetists Working With and Without Anesthesiologists1987 · 5 citations
  4. 4Certified Registered Nurse Anesthetist Perceptions of Factors Impacting Patient Safety2016 · 12 citations
  5. 5Similar Liability for Trauma and Nontrauma Surgical Anesthesia2012 · 6 citations