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Related Experiment Videos

Creating and analyzing a statewide nursing quality measurement database.

Carolyn E Aydin1, Linda Burnes Bolton, Nancy Donaldson

  • 1Nursing Research and Development, Room 2021, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA 90048, USA. aydin@cshs.org

Journal of Nursing Scholarship : an Official Publication of Sigma Theta Tau International Honor Society of Nursing
|January 8, 2005
PubMed
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A replicable methodology was developed for a large quality database examining nurse staffing and patient care outcomes. This database supports evidence-based policy and studies on nurse staffing

Area of Science:

  • Nursing Science
  • Health Services Research
  • Quality Improvement

Background:

  • Establishing reliable and valid quality databases is crucial for examining the relationship between nurse staffing and patient care outcomes.
  • The California Nursing Outcomes Coalition (CalNOC) project represents a significant statewide effort to collect comprehensive nursing quality data.

Purpose of the Study:

  • To explicate a replicable methodology for designing and analyzing a large, ongoing, reliable, and valid quality database.
  • To examine nurse staffing and patient care outcomes in acute care hospitals.

Main Methods:

  • Prospective collection of nurse staffing, process of care, and patient outcomes data using the American Nurses Association's (ANA) nursing quality indicators.
  • Data collected from a voluntary convenience sample at acute care hospitals in California via rolling-site accrual.

Related Experiment Videos

  • Development and maintenance of the CalNOC database, the largest statewide repository of its kind in the US.

    • Main Results:

    • As of May 2003, the CalNOC database included staffing data from 842 units in 134 hospitals over 20 quarters (April 1998-March 2003).
    • The repository contained clinical outcome data on 34,262 patient falls, 41,982 patient observations for pressure ulcer prevalence, and 26,461 patient satisfaction surveys.
    • Participating hospitals receive quarterly benchmarking reports; CalNOC methods have been adapted by other national databases and endorsed by the National Quality Forum.

    Conclusions:

    • A working model for collecting reliable and valid data was established from multiple California hospitals.
    • The CalNOC data serve as a basis for studies contributing to evidence-based public policy.
    • Ongoing study of the effects of nurse staffing on clinical and service outcomes is facilitated by this database.