Retention and the Anesthesia Workforce
By FairShare Team · 8 min read
Published by FairShare: · 8 min read
Topic: Retention and the Anesthesia Workforce
Audience: anesthesiologist, crna, leader
Type: research-hub
The anesthesia workforce faces a genuine supply–demand imbalance, and retention is the part of that problem a department can actually influence. This hub synthesizes the evidence on who leaves, why, and what predicts intent to leave.
Anesthesia has an unusually high intent-to-leave signal
An anesthesiology workforce review (2024) cites anesthesiology as the specialty with the highest reported intent to leave current practice within two years among academic physicians, connecting that to an aging workforce and two decades of declining physician work hours. That framing is corroborated by primary survey work: a cross-sectional workforce survey (2024) found job satisfaction significantly associated with anesthesiologists' intention to leave their current employment, with more than a third of respondents having recently experienced staffing shortages.
What predicts intent to leave — and it isn't only pay
The most useful finding for leaders is that turnover intent tracks specific, actionable drivers rather than a single global "unhappiness" score. A large VA workforce study (2025), with 16,363 respondents, found that distinct burnout drivers — not just overall burnout — differentiated types of turnover intent, separating people planning an internal job change from those planning to leave the organization entirely. That means the lever depends on the driver.
For CRNAs, the structural-equation-modeling study during COVID surges (2022) found decreased job feedback, poor CRNA–administration relations, and work-over-personal-life conflict all predicted burnout, which in turn correlated with turnover intention. A national CRNA survey on job characteristics and personality (2020) links job satisfaction directly to retention and performance. And a nurse-anesthesia-faculty case report (2024) documents how salary disparities and limited flexibility drove attrition — and how flexible scheduling, reduced loads, and wellness programming improved longevity.
The drivers generalize across health systems: a cross-sectional study of anesthetists in Ethiopia (2018) found nearly half intended to leave within a year, with salary, professional-development opportunity, and working conditions the strongest predictors — the same structural levers, in a very different context.
Where to go deeper
- Why the intent-to-leave signal is so high: Why Anesthesiologists Have the Highest Turnover Intent.
- What leavers say in their own words: Why CRNAs Are Leaving.
- The dollar case: The Real Cost of Losing an Anesthesiologist.
- The capacity hiding in current headcount: Workforce Capacity Hiding in Plain Sight.
Evidence vs. context, and the limitations
The claims above draw on primary and synthesis sources. A large volume of trade-press workforce reporting exists in the registry and is genuinely useful for market color, but it is classified as context and not cited here as evidence.
Two caveats matter. Most of this is cross-sectional and measures intent to leave, not actual departure — and intent overstates behavior, since not everyone who considers leaving does. Several strong studies (the VA cohort, the Ethiopian survey) are not anesthesia-specific or not U.S.-specific, so the direction of the drivers is more transferable than the magnitudes.
The bottom line
Pay matters and is often the single most-cited reason for leaving — an honest retention strategy starts there. But the evidence is equally clear that feedback quality, fairness, flexibility, and the administration relationship independently predict who stays. Those are the levers explored in Leadership, Culture, and Fairness, and they don't wait for a budget cycle.
Sources
-
Turnover, Burnout, and Job Satisfaction of Certified Registered Nurse Anesthetists in the United States: Role of Job Characteristics and Personality
(2020)
· Class: primary
· Tier: 2
National survey of AANA members modeled turnover, burnout, and job satisfaction as functions of job characteristics and personality factors; links job satisfaction to retention, turnover, performance, and patient safety outcomes.
Population: U.S. CRNAs (AANA members)
Limitations: ResearchGate record only; exact journal and DOI uncertain without direct access; publication year inferred.
-
Predictors of Burnout, Job Satisfaction, and Turnover Among CRNAs During COVID-19 Surging
(2022)
· Class: primary
· Tier: 1
Structural equation modeling study of CRNAs; decreased job feedback, poor CRNA-administration relations, and work-over-personal-life prioritization predicted burnout; burnout correlated with job satisfaction and turnover intention; CRNA-administration relationship quality and job feedback quality were independently predictive.
Population: U.S. CRNAs (during COVID-19 surging period)
Limitations: Survey during COVID surge may overestimate steady-state burnout; cross-sectional design limits causal inference.
-
From Turnover to Tenure: One Program's Efforts to Create Faculty Longevity in Nurse Anesthesia Education
(2025-06-11)
· Class: primary
· Tier: 2
Case report on nurse anesthesia education program faculty turnover; documents how salary disparities and limited flexibility drove attrition; describes organizational fixes (flexible scheduling, reduced teaching loads, wellness programming) to improve faculty longevity.
Population: Nurse anesthesia faculty CRNAs
Limitations: Single-program case report; limited generalizability; before-after design without control.
-
Enhancing Our Workforce: Recruitment and Retention in Anesthesiology
(2024-05-24)
· Class: primary
· Tier: 2
Cross-sectional workforce survey finding job satisfaction significantly associated with anesthesiologists' intention to leave current employment; documented more than a third of respondents had experienced recent staffing shortages.
Population: Anesthesiologists (survey, setting uncertain)
Limitations: ResearchGate link only; exact journal, authors, sample size, and DOI uncertain without direct access.
-
Factors Predicting Ethiopian Anesthetists' Intention to Leave Their Job
(2017-11-06)
· Class: primary
· Tier: 2
Cross-sectional study in Ethiopia; nearly half of surveyed anesthetists intended to leave within a year; salary, professional-development opportunity, and living/working conditions strongest predictors; demonstrates organizational and structural retention levers generalize across health-system contexts.
Population: Anesthetists in Ethiopia
Limitations: Low-resource setting limits direct generalizability to US context; cross-sectional.
-
Closing the Chasm: Understanding and Addressing the Anesthesia Workforce Supply and Demand Imbalance
(2024)
· Class: primary
· Tier: 1
Anesthesiology review citing anesthesiology as specialty with highest reported intent to leave current practice within two years among academic physicians; connects to aging workforce and reduced physician work hours over past two decades.
Population: U.S. anesthesiologists (academic and community practice)
Limitations: Review article; specific underlying data sources for intent-to-leave figures not fully traceable from this summary.
-
VA physicians intent to leave and correlations to drivers of burnout: a cross-sectional study
(2025)
· Class: primary
· Tier: 1
Large VA workforce study (n=16,363 respondents including physicians) modeling association between burnout drivers and intent to leave; found specific actionable burnout drivers (not just global scores) differentiate types of turnover intent (internal job change vs. leaving organization).
Population: Veterans Health Administration physicians and staff
Limitations: VHA-specific workforce context; cross-sectional; internal-vs-external turnover distinction important for interpreting results.