PREVENTING MEDICATION ERROR BASED ON KNOWLEDGE MANAGEMENT AGAINST ADVERSE EVENT
ABSTRACT: Medication error is
one of many types of errors that could decrease the quality and safety of
healthcare. Increasing number of adverse events (AE) reflects the number of medication
errors. This study aimed to develop a model of medication error prevention
based on knowledge management. This model is expected to improve knowledge and
skill of nurses to prevent medication error which is characterized by the
decrease of adverse events (AE). Methods: This study consisted of two stages.
The first stage of research was an explanative survey using cross-sectional
approach involving 15 respondents selected by purposive sampling. The second
stage was a pre-test experiment involving 29 respondents selected with cluster
sampling. Partial Leas square (PLS) was used to examine the factors affecting
medication error prevention model while the Wilcoxon Signed Rank Test was used
to test the effect of medication error prevention model against adverse events
(AE). Results: Individual factors (path coefficient 12:56, t = 4,761) play an
important role in nurse behavioral changes about medication error prevention
based in knowledge management, organizational factor (path coefficient = 0276,
t = 2.504) play an important role in nurse behavioral changes about medication
error prevention based on knowledge management. Work characteristic factor
(path coefficient = 0309, t = 1.98) play an important role in nurse behavioral
changes about medication error prevention based on knowledge management. The
medication error prevention model based on knowledge management was also
significantly decreased adverse event (p = 0.000, α <0.05). Discussion:
Factors of individuals, organizations and work characteristics were important
in the development of medication error prevention models based on knowledge
management.
KEYWORDS: adverse events,
knowledge management, medication error
Author: Apriyani Puji Hastuti,
Nursalam, Mira Triharini
Journal Code: jpkesmasgg170022
