Medication Errors and Their Relationship with Care Complexity and Work Dynamics
DOI:
https://doi.org/10.3889/oamjms.2019.722Keywords:
Child, Drug Incompatibility, Hospital, Medication Errors, WorkplaceAbstract
BACKGROUND: Medication errors are currently known as the most common medical errors. Research shows that work environment and organisation management, in addition to the role of nurses, contribute to the occurrence of an error.
AIM: Therefore, the present study was conducted to determine the rate of nurses’ medication errors and its relation to the care complexity and work dynamics in the Taleghani Pediatric Hospital of Gorgan in 2017.
MATERIAL AND METHODS: This was a descriptive-correlational and cross-sectional study. Sampling was done through census method (N = 100). The data collection tools consisted of four questionnaires of demographic information, Salyer work dynamics, Medication Administration Errors, and Velasquez Nursing Care Complexity. Data were analysed in SPSS V.16 software using descriptive and inferential statistical methods including independent t-test and Pearson’s correlation.
RESULTS: Medication calculation errors, wrong dose and wrong medication were the most common non-injectable medication errors, respectively. Drug incompatibility, wrong infusion rate and medication calculation errors were the most common injectable medication errors, respectively. There was a positive correlation between medication calculation errors (P = 0.02, r = 0.23), wrong solvent (P = 0.04, r = 0.21), and drug incompatibility (P = 0.01, r = 0.25) with amount of work dynamics. Also, there was a positive correlation between medication calculation errors (P = 0.03, r = 0.22) and wrong medication (P = 0.00, r = 0.31) with the nursing care complexity.
CONCLUSION: Regarding the irrefutable impact of working conditions on the occurrence of errors, it appears that the study and complete recognition of nurses’ working conditions and their adjustment would lead to a reduction in medication errors.
Downloads
Metrics
Plum Analytics Artifact Widget Block
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Zahra Sabzi, Reza Mohammadi, Razieh Talebi, Gholam Reza Roshandel (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
http://creativecommons.org/licenses/by-nc/4.0