Academic Journal

Structural Model of Medication Errors in Clinical Nursing: A Structural Equation Model Based on the Ecological Systems Theory.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Structural Model of Medication Errors in Clinical Nursing: A Structural Equation Model Based on the Ecological Systems Theory.
Συγγραφείς: Kim J; Department of Nursing, Kyungil University, Gyeongsan, South Korea, kiu.ac.kr., Song Y; College of Nursing, Research Institute of Nursing Innovation, Kyungpook National University, Daegu, South Korea, knu.ac.kr.
Πηγή: Journal of nursing management [J Nurs Manag] 2026; Vol. 2026 (1), pp. e1245208.
Τύπος έκδοσης: Journal Article; Multicenter Study
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9306050 Publication Model: Print Cited Medium: Internet ISSN: 1365-2834 (Electronic) Linking ISSN: 09660429 NLM ISO Abbreviation: J Nurs Manag Subsets: MEDLINE
Imprint Name(s): Original Publication: Oxford : Blackwell Scientific Publications, c1993-
Ιατρικοί όροι (MeSH): Medication Errors*/nursing , Medication Errors*/statistics & numerical data , Nursing Staff, Hospital*/statistics & numerical data , Working Conditions*/statistics & numerical data , Systems Theory*, Republic of Korea/epidemiology ; Mental Fatigue/epidemiology ; Occupational Diseases/epidemiology ; Occupational Diseases/psychology ; Latent Class Analysis ; Interdisciplinary Communication ; Cross-Sectional Studies ; Surveys and Questionnaires ; Factor Analysis, Statistical ; Tertiary Care Centers ; Humans ; Male ; Female ; Adult
Περίληψη: Background: Medication errors remain a critical patient safety issue. Although prior research has examined individual and environmental determinants, few studies have investigated their complex interrelationships within an integrated theoretical framework, particularly in clinical nursing practice.
Aim: To examine the structural relationships among the nursing work environment, communication with health professionals, fatigue, and medication errors among clinical nurses, grounded in Bronfenbrenner's ecological systems theory.
Methods: A cross-sectional study was conducted involving 230 clinical nurses from four tertiary hospitals in South Korea. Data were collected using validated self-report questionnaires measuring the nursing work environment, communication with health professionals, fatigue, and medication errors. Structural equation modeling, supported by confirmatory factor analysis, was used to evaluate direct and indirect pathways and to assess overall model fit.
Results: The proposed model demonstrated acceptable fit (χ2/df = 2.98, RMSEA = 0.08, CFI = 0.93). The nursing work environment exerted a significant direct effect on communication (β = 0.80, p < 0.001), and communication was significantly associated with reduced fatigue (β = -0.78, p = 0.005). Fatigue had a direct effect on medication errors (β = 0.32, p = 0.003), while communication showed both direct and indirect effects on medication errors. The model explained 64.3% of the variance in communication, 45.4% in fatigue, and 29.8% in medication errors.
Conclusion: A supportive nursing work environment facilitates effective interprofessional communication, which in turn mitigates fatigue and reduces medication errors. Communication functions as a key mediating mechanism within this structural pathway.
Implications for Nursing Management: To reduce medication errors, nurse managers should prioritize fostering positive work environments, implementing structured communication protocols, and establishing systematic fatigue management strategies. Such organizational initiatives may enhance communication efficiency and strengthen patient safety outcomes.
(Copyright © 2026 Junekyu Kim and Yeoungsuk Song. Journal of Nursing Management published by John Wiley & Sons Ltd.)
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Contributed Indexing: Keywords: communication; fatigue; medication error; nurses; patient safety; professional practice
Entry Date(s): Date Created: 20260316 Date Completed: 20260318 Latest Revision: 20260813
Update Code: 20260813
PubMed Central ID: PMC13140185
DOI: 10.1155/jonm/1245208
PMID: 41834487
Βάση Δεδομένων: MEDLINE