FairShare evidence summary
Factors Predicting Ethiopian Anesthetists' Intention to Leave Their Job
Original source published:
The bottom line
Even in a very different health system, the structural retention levers look familiar: pay, professional development, and working conditions were the strongest predictors of anesthetists' intent to leave. This cross-context consistency suggests retention pressures are associated with fixable organizational factors rather than local idiosyncrasy, though the cross-sectional design cannot show that changing them changes retention. Direct benchmarks from a low-resource setting should not be transplanted to US staffing decisions.
What the source found
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.
Limitations and applicability
Low-resource setting limits direct generalizability to US context; cross-sectional.
Population and setting
Anesthetists in Ethiopia
Used in FairShare guides
About this evidence
Research question / practical issue
How does this source inform Retention and the Anesthesia Workforce for the population it studied?
Study design, evidence tier, and source class
Peer Reviewed Cross Sectional Survey · primary source · evidence tier 2
Source type: Peer Reviewed Cross Sectional Survey · primary · Evidence tier 2
Topics: Retention and the Anesthesia Workforce
Audience: Department Leaders