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The implementation of a noise reduction bundle in the intensive care unit: A qualitative process evaluation

Revista

Intensive and Critical Care Nursing

Fecha de publicación

5 de diciembre de 2025

Intensive Crit Care Nurs. 2025 Dec 4;93:104305. doi: 10.1016/j.iccn.2025.104305. Online ahead of print.

OBJECTIVE: To explore factors that influenced the application of a noise reduction bundle in daily practice as experienced by healthcare professionals.

METHODS: Between April and June 2024, seven semi-structured focus group interviews were conducted. Recorded interviews were transcribed and coded. Using Flottorp’s checklist for identifying determinants of practice, data were categorized to identify factors influencing the bundle’s application. The analysis was carried out collaboratively by multiple researchers.

RESULTS: The focus group interviews were conducted with 31 participants: nursing staff and physicians. A total of 37 factors were identified. Facilitating factors were: phased implementation, clear communication and work instructions, addressing the theme regularly, routine-building, supportive materials, reminders, training, technical assistance, engaged leadership, key nurses, feedback. Hindering factors were: limited urgency, lack of outcome expectancy, limited adherence of the interventions, limited raising of issues, absence of noise norms, unsuitable environment.

CONCLUSIONS: This process evaluation of the randomized clinical trial investigating a bundle of noise-reducing interventions, demonstrates that successful ICU noise reduction requires a structured implementation and attention to contextual and cultural factors. While engaged leadership and feedback facilitated adoption, a limited sense of urgency and the absence of shared noise norms impeded sustainability. An integrated approach-combining technical solutions with behavioral strategies, and promoting team ownership and open communication-is essential.

PubMed:41349156 | DOI:10.1016/j.iccn.2025.104305

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El idioma original es este artículo es el inglés. Mediante el sistema de traducción automático de la IA de emergencing, el contenido se ha traducido al español. Esta es una traducción no supervisada por lo que puede que alguna parte del contenido no refleje con exactitud la publicación original del autor/autores.