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ORIGINAL RESEARCH article
Front. Public Health
Sec. Occupational Health and Safety
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1537811
This article is part of the Research Topic Comprehensive Strategies for Public Health Education across Diverse Audiences and Settings to Control Nosocomial Infection View all 5 articles
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This study aimed to develop and validate the HAInnovPrev scale, a tool for assessing the prevention and control of healthcare-associated infections (HAIs) among nursing students.HAIs are a significant global health concern, particularly in healthcare education, where student training and institutional protocols must align to prevent infections effectively.The development process employed a quantitative approach, utilizing exploratory factor analysis (EFA) on data collected from 347 nursing students across two universities in Peru.This method refined the instrument, reducing the original 15 dimensions to 11 well-defined factors, encompassing key aspects such as institutional compliance, personal motivation, emotional exhaustion, and adherence to hygiene protocols.The results demonstrated that the instrument's 11-dimensional structure was statistically valid, with measures such as the Kaiser-Meyer-Olkin (KMO) test and Bartlett's sphericity indicating suitability for factor analysis. Internal consistency reliability, evaluated through omega coefficients, showed strong reliability for most dimensions (ω > 0.70).The findings suggest that the HAInnovPrev scale is a valid and reliable tool to assess critical areas of knowledge, attitudes, and practices regarding HAI prevention among nursing students. Streamlining the scale from 15 to 11 dimensions improves its practical applicability and clarity, focusing on the most relevant factors influencing students' adherence to infection control practices. Future research should broaden the sample and include observational measures to validate these findings further.
Keywords: Healthcare-associated infections (hais), nursing students, Exploratory factor analysis (EFA), instrument validation, prevention and control
Received: 27 Dec 2024; Accepted: 28 Mar 2025.
Copyright: © 2025 Ramos-Meza, Castro-Vargas, Chihuantito-Abal, Frisancho-Camero, APARICIO, GALLEGOS APARICIO and Larrea-Campos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Carlos Samuel Ramos-Meza, Andean University of Cusco, Cusco, Peru
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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