Literature DB >> 33067375

Development of a Competency Scale for Nurses of a Japanese Community Hospital: The Unnan Ladder.

Satoko Maejima1, Ryuichi Ohta2.   

Abstract

BACKGROUND AND
PURPOSE: The Japanese Nurse Association (JNA) has established the JNA ladder to assess competency in various clinical nursing settings in Japan. This study developed and tested a specific Japanese community hospital's Nurse Competency Scale (the Unnan ladder).
METHODS: Using the Delphi method, the contents of the Unnan ladder were identified and validated in a four-step approach. A 28-nurse panel approved 66 items; 112 community nurses assessed the content, construct concurrent validity, and internal consistency of the Unnan ladder competency scale.
RESULTS: The Unnan ladder data were normally distributed. Higher scores on it correlated with higher scores on the Nurse Competency Scale. The Unnan ladder categories showed good internal consistency.
CONCLUSIONS: This ladder's application may lead to improved nursing skills and better patient care. © Copyright 2020 Springer Publishing Company, LLC.

Entities:  

Keywords:  Nursing Competency Scale; clinical ladder; community hospital nurse; nursing skills; patient care

Year:  2020        PMID: 33067375     DOI: 10.1891/JNM-D-19-00010

Source DB:  PubMed          Journal:  J Nurs Meas        ISSN: 1061-3749


  3 in total

1.  The Implementation of a Clinical Ladder in Rural Japanese Nursing Education: Effectiveness and Challenges.

Authors:  Satoko Maejima; Ryuichi Ohta; Chiaki Sano
Journal:  Healthcare (Basel)       Date:  2021-04-15

2.  Exploring the Competencies of Japanese Expert Nurse Practitioners: A Thematic Analysis.

Authors:  Mari Igarashi; Ryuichi Ohta; Yasuo Kurita; Akinori Nakata; Tsutomu Yamazaki; Harumi Gomi
Journal:  Healthcare (Basel)       Date:  2021-12-03

3.  Nurses' Contributions in Rural Family Medicine Education: A Mixed-Method Approach.

Authors:  Ryuichi Ohta; Satoko Maejma; Chiaki Sano
Journal:  Int J Environ Res Public Health       Date:  2022-03-06       Impact factor: 3.390

  3 in total

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