Literature DB >> 25716107

Validation of Single-Item Screening Measures for Provider Burnout in a Rural Health Care Network.

Anthony C Waddimba1, Melissa Scribani2, Melinda A Nieves2, Nicole Krupa2, John J May3, Paul Jenkins4.   

Abstract

We validated three single-item measures for emotional exhaustion (EE) and depersonalization (DP) among rural physician/nonphysician practitioners. We linked cross-sectional survey data (on provider demographics, satisfaction, resilience, and burnout) with administrative information from an integrated health care network (1 academic medical center, 6 community hospitals, 31 clinics, and 19 school-based health centers) in an eight-county underserved area of upstate New York. In total, 308 physicians and advanced-practice clinicians completed a self-administered, multi-instrument questionnaire (65.1% response rate). Significant proportions of respondents reported high EE (36.1%) and DP (9.9%). In multivariable linear mixed models, scores on EE/DP subscales of the Maslach Burnout Inventory were regressed on each single-item measure. The Physician Work-Life Study's single-item measure (classifying 32.8% of respondents as burning out/completely burned out) was correlated with EE and DP (Spearman's ρ = .72 and .41, p < .0001; Kruskal-Wallis χ(2) = 149.9 and 56.5, p < .0001, respectively). In multivariable models, it predicted high EE (but neither low EE nor low/high DP). EE/DP single items were correlated with parent subscales (Spearman's ρ = .89 and .81, p < .0001; Kruskal-Wallis χ(2) = 230.98 and 197.84, p < .0001, respectively). In multivariable models, the EE item predicted high/low EE, whereas the DP item predicted only low DP. Therefore, the three single-item measures tested varied in effectiveness as screeners for EE/DP dimensions of burnout.
© The Author(s) 2015.

Keywords:  Maslach Burnout Inventory; advanced practice nursing; physician assistants; physicians; professional burnout; validation studies

Mesh:

Year:  2015        PMID: 25716107     DOI: 10.1177/0163278715573866

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  13 in total

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