What the data says
Analysis of Laudio’s national workforce dataset (inclusive of 150+ hospitals and almost 95,000 nurses) identified eight key predictors of RN burnout (listed below). Additional analysis determined the nurse-level and department-level thresholds at which each of these eight metrics become predictors of elevated risk of burnout and turnover at the team level.
The eight burnout predictors serve as an “early warning system” for healthcare leaders, based on their operational nature, turnover predictive power, justification based on peer reviewed literature on burnout, and prevalence in executive and manager discussions.
Role overload indicators |
Role conflict indicators |
As shown in the chart above, teams where many Registered nurses (RNs) are consistently not taking paid time off (PTO) experience a 20% higher first-year RN turnover rate. Similarly, teams where many RNs are consistently skipping breaks, precepting, leaving late, and arriving early also experience higher early-tenure RN turnover rates. The data also shows burnout correlation around consistent precepting, leaving late, and arriving early. In other words, when early-tenure RNs join these teams and see existing team members under stress, they are much more likely to make a quick decision to leave.
The chart below shows a similar analysis of the turnover rates for all-tenure RNs. The associated turnover rate increase is less pronounced but still statistically significant. In particular, teams where many RNs are consistently not leaving late are associated with about 7.5% point higher overall turnover rates for RNs of all tenures (the top red bar in the chart below). Teams where many RNs are consistently not taking PTO, are calling out, precepting, and serving as charge also see elevated turnover levels.
The eight burnout predictors shown in the two charts are proposed as an “early warning system” for healthcare leaders. Laudio and AONL selected these eight predictors of burnout based on a combination of reasons, including peer-reviewed research on role overload and role conflict and the ability of most health systems to measure them.
While most data on nurse burnout today comes from self-reported surveys, these types of predictive, operational metrics can enable nurse leaders to actually get ahead of burnout, allowing targeted, strategic intervention in real time.
An Early Warning System for Nurse Burnout: Metrics and Strategies, a fall 2025 report co-written by American Organization for Nursing Leadership (AONL) and Laudio, includes more information on the metrics (their definitions, the statistical models used, and details of executive and manager strategies).
What it means
These findings point to clear, actionable priorities for leaders
Implications for healthcare executives
Health system leaders face a pressing need to address burnout proactively. By using some of the metrics and leadership strategies discussed, nurse executives can create early warning indicators for burnout and intervene proactively. This ultimately reduces turnover and reinforces the delivery of safe, high-quality patient care.
NOTE: Some of the charts and wording in this article were previously published in An Early Warning System for Nurse Burnout: Metrics and Strategies.