Comparing Methods of Identifying Outlying Nurses in Audits of Low-Risk Cesarean Delivery Rates.

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From: Journal of Nursing Care Quality(Vol. 37, Issue 2)
Publisher: Lippincott Williams & Wilkins, WK Health
Document Type: Brief article
Length: 241 words

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Abstract :

Byline: Joyce K. Edmonds, Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts (Dr Edmonds); Science and Technology, Ariadne Labs, Boston, Massachusetts (Mr Woodbury and Drs Lipsitz, Weiseth, and Shah); Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, and the Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, Massachusetts (Dr Farrell); Division of Maternal Fetal Medicine (Dr Gregory), Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California (Dr Greene).; Samuel R. Woodbury; Stuart R. Lipsitz; Amber Weiseth; Maureen E. Farrell; Neel T. Shah; Naomi Greene; Kimberly D. Gregory Abstract BACKGROUND: The low-risk cesarean delivery (CD) rate is an established performance indicator for providers in maternity care for quality improvement purposes. PURPOSE: Our objectives were to assess nurse performance using adjusted nurse-level CD rates and to compare methods of identifying nurse outliers. METHODS: We conducted a retrospective, cohort study of 6970 births attended by 181 registered nurses in one hospital's maternity unit. Adjusted and unadjusted nurse-level CD rates were compared and agreement between 3 definitions (statistical, top decile, over a benchmark) of outliers calculated. RESULTS: Adjusted nurse-level CD rates varied from 5.5% to 53.2%, and the unadjusted rates varied from 5% to 50%. Risk adjustment had little impact on the ranking of nurses, and outliers were consistently identified by 3 definitions. CONCLUSIONS: Trade-offs between statistical certainty and feasibility need to be considered when classifying nurse outliers. Findings can help target interventions to improve nurse performance.

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Gale Document Number: GALE|A694678306