ArticleMethodsX2026
Bringing usability testing to the front lines: IV smart pump evaluation with critical care nurses at a national conference.
Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intravenous smart pump (IVSP) usability evaluations are often conducted in single-site laboratory or simulation settings, which can limit access to experienced frontline nurses. This methods article describes a field-deployable, conference-based approach for evaluating IVSP usability with practicing critical-care nurses. The method brought a standardized simulation environment to a national critical-care nursing conference while preserving experimental control through consistent pump stations, scripted clinical scenarios, counterbalanced device order, and common data-collection procedures. The approach integrates direct observation of programming performance with wearable eye tracking, physiologic monitoring, subjective workload ratings, healthcare-specific usability assessment, think-aloud comments, and device preference ranking. The method is intended for researchers, health systems, manufacturers, and nurse-engineer teams seeking a scalable way to evaluate bedside technologies with intended users. • Adapts traditional laboratory-based usability testing into a portable, conference-based method. • Combines standardized clinical tasks with multimodal measures of visual attention, workload, usability, and performance. • Provides a reproducible framework for evaluating medical-device usability with frontline clinicians.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.