At a glance
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Boosting Knowledge, Attitudes, and Practices: An Experimental Study Evaluating the Effectiveness of mHealth Training on Antimicrobial Resistance for Hemodialysis Nurses
In Brief
A clinical study evaluating Antimicrobial resistance Training in Hemodialysis Units for Antimicrobial Resistance in Hemodialysis. Completed, enrolled 64 participants across 1 site.
Detailed Summary
Objective: To evaluate the impact of an m-health training program on nurses' knowledge, attitudes, and practices concerning antimicrobial resistance (AMR) within hemodialysis units. Design: This study utilized a controlled experimental design with cluster random assignment, adhering to the Consolidated Standards of Reporting Trials (CONSORT) guidelines. Method: A convenience sample of 64 nurses was cluster-randomized into either an experimental group (n = 32) or a control group (n = 32). The experimental group received AMR education via WhatsApp using Chabot software, while the control group received the same content through leaflets. The nurses' knowledge, attitudes, and practices regarding AMR were assessed with self-developed instruments at three time points: baseline (Time 1), immediately after the intervention (Time 2), and one month later (Time 3).
Study Details
Timeline
Interventions
The educational program developed by the researcher is meticulously designed, drawing on extensive insights from the WHO curricula guide (nurses' education and training on antimicrobial resistance; 2019) and the literature review addressed the use of antibiotics and prevention of AMR in hemodialysis facilities. The curriculum, using simple English, provides a broad set of learning objectives tailored to the expected roles of nurses. The education program includes four main modular outline: 1. Foundations that build awareness of antimicrobial resistance 2. Appropriate use of antimicrobial agents 3. Infection prevention and control 4. Diagnostic stewardship and surveillance The educational material was sent by a study researcher (X) to the WhatsApp number for all members of the experimental group via Chatbot software, which was designed by software engineer. The educational materials were sent in the form of written materials, photos, and videos.