Establishing Crosswalks Between Common Measures of Burnout in US Physicians

BACKGROUND: Physician burnout is often assessed by healthcare organizations. Yet, scores from different burnout measures cannot currently be directly compared, limiting the interpretation of results across organizations or studies. OBJECTIVE: To link common measures of burnout to a single metric in psychometric analyses such that grouplevel scores from different assessments can be compared. DESIGN: Cross-sectional survey. SETTING: US practices. PARTICIPANTS: A total of 1355 physicians sampled from the American Medical Association Physician Masterfile. MAIN MEASURES: We linked the Stanford Professional Fulfillment Index (PFI) and Mini-Z Single-Item Burnout (MZSIB) scale to the Maslach Burnout Inventory (MBI) in item response theory (IRT) fixed-calibration and equipercentile analyses and created crosswalks mapping PFI and MZSIB scores to corresponding MBI scores. We evaluated the accuracy of the results by comparing physicians' actual MBI scores to those predicted by linking and described the closest cut-point equivalencies across scales linked to the same MBI subscale using the resulting crosswalks. KEY RESULTS: IRT linking produced the most accurate results and was used to create crosswalks mapping (1) PFI Work Exhaustion (PFI-WE) and MZSIB scores to MBI Emotional Exhaustion (MBI-EE) scores and (2) PFI Interpersonal Disengagement (PFI-ID) scores to MBI Depersonalization (MBI-DP) scores. The commonly used MBI-EE raw score cut-point of >= 27 corresponded most closely with respective PFI-WE and MZSIB raw score cut-points of >= 7 and >= 3. The commonly used MBI-DP raw score cutpoint of >= 10 corresponded most closely with a PFI-ID raw score cut-point of >= 9. CONCLUSIONS: Our findings allow healthcare organizations using the PFI or MZSIB to compare group-level scores to historical, regional, or national MBI scores (and vice-versa).

Automated summary

This study linked different burnout measures to the Maslach Burnout Inventory (MBI) through psychometric analyses, allowing comparison of group-level scores and identifying the closest cut-point equivalencies across scales.