The Effect of Blended Learning on the Rate of Medication Administration Errors of Nurses in Medical Wards

Farzi, Kolsoum and mohammadipour, Fatemeh and Toulabi, Tahereh and Heidarizadeh, Khadijeh and Heydari, Fardin (2020) The Effect of Blended Learning on the Rate of Medication Administration Errors of Nurses in Medical Wards. Iranian Journal of Nursing and Midwifery Research.


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Background: Medication error is one of the most important and most common events threatening patient safety. This study was conducted with the aim to determine the effect of asynchronous hybrid/blended learning on the rate of medication administration errors of nurses in medical wards. Materials and Methods: This quasi-experimental study was conducted with a pretest-posttest design in 2019. The participants of this study included 57 clinical nurses working in the medical wards of a selected educational hospital afliated to Lorestan University of Medical Sciences, Khorramabad, Iran. The study participants were selected through census method. An asynchronous hybrid/blended learning program was used in this study. Data collection was performed using a two-section researcher-made checklist. The collected data were analyzed using descriptive [Mean (SD)] and inferential (paired sample t-test) statistics in SPSS software. A p value of less than 0.05 was considered statistically signifcant. Results: The results showed that the mean score of total errors in medication administration in the medical wards after the intervention was signifcantly lower than before the intervention; the mean score of errors before and after the study was 61.67 and 50.09, respectively (t56 = 11.41, p < 0.001). Conclusions: Asynchronous hybrid/blended learning as a type of e-learning, simple, relatively inexpensive, and new educational strategy can improve nurses’ performance and reduce medication errors. Keywords: Learning, medication errors, nurses, patient safety

Item Type: Article
Subjects: R Medicine > RT Nursing
Divisions: Faculty of Medicine, Health and Life Sciences > School of Medicine
Depositing User: samira sepahvandy
Date Deposited: 19 Dec 2020 04:13
Last Modified: 19 Dec 2020 04:13

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