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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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Key findings from the AWHONN perinatal staffing data collaborative.

Benjamin Scheich, Debra Bingham

    Journal of Obstetric, Gynecologic, and Neonatal Nursing : JOGNN
    |February 6, 2015
    PubMed
    Summary

    The largest dataset on perinatal registered nurse (RN) staffing patterns was collected by the Association of Women's Health, Obstetric and Neonatal Nurses (AWHONN). This summary covers findings from their 2011-2012 Perinatal Staffing Data Collaborative.

    Keywords:
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    Area of Science:

    • Nursing
    • Healthcare Management
    • Public Health

    Background:

    • The Association of Women's Health, Obstetric and Neonatal Nurses (AWHONN) released guidelines for professional registered nurse (RN) staffing in perinatal units.
    • There was a need to understand current staffing practices in response to these guidelines.

    Purpose of the Study:

    • To summarize the findings of the AWHONN Perinatal Staffing Data Collaborative.
    • To describe current patterns in perinatal registered nurse (RN) staffing.

    Main Methods:

    • The Perinatal Staffing Data Collaborative collected data through surveys.
    • 183 surveys were submitted from 175 birthing hospitals in the United States.
    • Data was collected between 2011 and 2012.

    Main Results:

    • The collected data represents the largest dataset available on perinatal RN staffing patterns.
    • The findings provide insights into current staffing trends in US birthing hospitals.

    Conclusions:

    • The AWHONN Perinatal Staffing Data Collaborative provides a comprehensive overview of perinatal RN staffing.
    • This data is crucial for understanding and potentially improving staffing levels in perinatal units.