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Related Experiment Videos

Defining and measuring nursing productivity: a concept analysis and pilot study.

Barbara R Holcomb1, Nancy Hoffart, Michael H Fox

  • 1Army Nurse Corps, 67th Combat Support Hospital, Wuerzburg, Germany. barbara.holcom@wur.amedd.army.mil

Journal of Advanced Nursing
|May 3, 2002
PubMed
Summary

This study introduces a new method for measuring nursing productivity, demonstrating its ability to detect changes. Recommendations are provided for nurse executives and researchers on using this measure and addressing data challenges.

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Area of Science:

  • Nursing Management
  • Healthcare Operations
  • Health Services Research

Background:

  • Understanding nursing productivity is crucial for effective healthcare management.
  • Existing methods for measuring nursing productivity are often complex and lack standardization.
  • Nurse executives and researchers require reliable tools to assess the impact of care delivery models.

Purpose of the Study:

  • To conduct a concept analysis of nursing productivity.
  • To develop and pilot a method for measuring nursing productivity.
  • To evaluate the impact of a differentiated Registered Nurse (RN) practice model on nursing productivity.

Main Methods:

  • Defined nursing productivity as the ratio of output (patient care hours/patient day) to input (salary and benefits).

Related Experiment Videos

  • Developed a productivity measure based on concept analysis.
  • Conducted a pilot study using administrative databases to assess changes in productivity before and after implementing a differentiated RN practice model.

    • Main Results:

    • The developed measurement approach successfully detected changes in nursing productivity.
    • Pilot testing identified challenges associated with using administrative databases for productivity measurement.

    Conclusions:

    • Longitudinal monitoring of nursing productivity by unit, alongside patient care quality indicators, is recommended for operational decision-making.
    • Addressing challenges in data acquisition and analysis is essential for accurate productivity measurement.
    • Findings offer practical recommendations for nurse executives and researchers.