Literature DB >> 22325830

A structural equation modeling of the factors affecting student nurses' medication errors.

Les Paul Valdez1, Allan de Guzman, Rowena Escolar-Chua.   

Abstract

Across medication error literature, much attention has been given to incidence, types, causes and prevention of medication errors. Despite these efforts, medication errors continue to occur among registered and student nurses. Considering the numerous studies on medication errors committed by registered nurses, little is known on the nature of student nurses' medication error. This study employed factor analysis and structural equation modeling to explore the factors affecting medication errors by student nurses. With the participation of 329 junior and senior student nurses recruited from a comprehensive university in the Philippines, five factor dimensions of the causes of student nurses' medication error were identified, namely: In-violation, In-writing, In-excess, In-experience and In-tension. Results of path analysis showed an interaction among these variables. Additionally, poor adherence to the "five rights" was identified as an important mediator between In-violation, In-writing, In-excess, In-experience and In-tension and student nurses' medication error. By developing a model to explain how student nurses' medication errors occur, this study sheds light on the nature of student nurses' medication error and provides a basis for error prevention strategies.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22325830     DOI: 10.1016/j.nedt.2012.01.001

Source DB:  PubMed          Journal:  Nurse Educ Today        ISSN: 0260-6917            Impact factor:   3.442


  2 in total

Review 1.  Medication Errors in the Southeast Asian Countries: A Systematic Review.

Authors:  Shahrzad Salmasi; Tahir Mehmood Khan; Yet Hoi Hong; Long Chiau Ming; Tin Wui Wong
Journal:  PLoS One       Date:  2015-09-04       Impact factor: 3.240

2.  Nurse Education and Mathematical Competency: Implementation of an Online, Self-Directed, Prerequisite Model.

Authors:  Daniel H Jarvis; Karey D McCullough; Tammie R McParland
Journal:  Int J Environ Res Public Health       Date:  2021-12-12       Impact factor: 3.390

  2 in total

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