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Related Experiment Videos

Representing nursing practice: evaluating the effectiveness of a nursing classification system.

Margaret Ann Kennedy¹, Kathryn Hannah

¹School of Nursing, St. Francis Xavier University, Antigonish, Nova Scotia, Canada. makenned@stfx.ca

The Canadian Journal of Nursing Research = Revue Canadienne De Recherche En Sciences Infirmieres

|April 25, 2007

Summary

The International Classification for Nursing Practice (ICNP) effectively represents nursing contributions to health outcomes across diverse Canadian settings. Further development is recommended for improved granularity in natural and professional terms.

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Area of Science:

Nursing Informatics
Health Services Research
Clinical Documentation

Background:

Nursing documentation quality impacts health outcome representation.
Standardized terminologies are crucial for consistent data capture.
The International Classification for Nursing Practice (ICNP) aims to standardize nursing language.

Purpose of the Study:

To evaluate the effectiveness of the ICNP BetaVersion in capturing nursing contributions to health outcomes.
To assess ICNP's applicability across various Canadian healthcare settings.
To identify areas for ICNP improvement.

Main Methods:

Retrospective coding of nursing data from patient records.
Data sourced from acute care, mental health, home care, and long-term care settings.
Utilized the ICNP BetaVersion for data analysis.

Main Results:

ICNP successfully matched the majority of nursing data despite documentation variations.
Identified limitations in ICNP BetaVersion's granularity for natural and professional terms.
Demonstrated ICNP's potential for representing nursing contributions.

Conclusions:

ICNP is a valuable tool for representing nursing contributions to health outcomes.
Enhancements in ICNP's granularity are needed for precise data representation.
Further research on nursing-sensitive outcomes is recommended for ICNP development.