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Updated: Jun 12, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

Nursing specialty knowledge as expressed by standardized nursing languages.

Asta Thoroddsen¹, Margareta Ehnfors, Anna Ehrenberg

¹School of Health and Medical Sciences, Orebro University, Orebro, Sweden. astat@hi.is

International Journal of Nursing Terminologies and Classifications : the Official Journal of NANDA International

|May 27, 2010

Summary

Standardized nursing languages effectively demonstrate specialty knowledge in nursing records. This research highlights the potential of these languages to differentiate nursing practices across specialties.

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Last Updated: Jun 12, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

Area of Science:

Nursing Informatics
Clinical Documentation
Healthcare Data Standards

Background:

Nursing specialty knowledge is crucial for patient care but can be challenging to articulate.
Standardized nursing languages offer a structured approach to documenting nursing practice.
Previous research has explored the application of standardized languages in various healthcare settings.

Purpose of the Study:

To examine how nursing specialty knowledge is represented in nursing records using standardized nursing languages.
To assess the capability of standardized languages in distinguishing nursing specialties.
To identify common nursing diagnoses and interventions across different nursing specialties.

Main Methods:

A cross-sectional review was conducted on a sample of 265 nursing records from four distinct nursing specialties.
Data analysis focused on identifying and categorizing nursing diagnoses and interventions documented within these records.
The frequency and distribution of specific diagnoses and interventions across specialties were analyzed.

Main Results:

Nursing diagnoses frequently reflected basic patient needs, common across all specialties studied.
Specific nursing knowledge within each specialty was evident through the selection of nursing diagnoses and interventions.
A total of 63 nursing diagnoses and 168 nursing interventions were identified, with some appearing across multiple specialties.

Conclusions:

Standardized nursing languages demonstrate the potential to differentiate between nursing specialties.
Further research with larger datasets is recommended to elucidate the relationship between nursing diagnoses and interventions.
Effective storage and retrieval of nursing data are essential for supporting clinical decisions and advancing nursing knowledge.