A computer-based method for teaching catheter-access hemodialysis management

Sut Kam Pun, Chung Lim Vico Chiang, Kup Sze Choi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

Patients undergoing hemodialysis are highly susceptible to infections, which could lead to morbidity and mortality.One of the major sources of infections stems from the mishandling of hemodialysis access sites. Although healthcare workers receive training on how to aseptically handle hemodialysis catheters, the increasing number of blood infections associated with dialysis suggests that the conventional approach to training may not be sufficient to ensure a clear understanding of the necessary knowledge and skills. With advancements in digital technology, computer-assisted learning has been gaining popularity as an approach to teaching clinical skills. The purpose of this study was to evaluate the effectiveness of a computer-based training system developed to teach healthcare workers catheteraccess hemodialysis management. Forty nurses were recruited and randomly assigned into two groups: the control group, which received conventional training only; and the experimental group, which received both conventional and computer-based training. A knowledge test and a skills competence test were administered to both groups before and after the intervention to evaluate their performance.The results show that the performance of the nurses in the experimental group was significantly better than that in the control group, indicating that the proposed training system is an effective tool for supplementing the learning of catheter-access hemodialysis management.
Original languageEnglish
Pages (from-to)476-483
Number of pages8
JournalCIN - Computers Informatics Nursing
Volume34
Issue number10
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • Clinical skills
  • Computer-assisted learning
  • Computer-based simulation
  • Hemodialysis
  • Nursing education

ASJC Scopus subject areas

  • Health Informatics
  • Nursing (miscellaneous)

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