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Usability of Light-Linking Technology for Infusion Line Identification: A Simulation Study With ICU Nurses.

Carolyn Huffman^1,2, Wendy Butcher^1,2, Cliff Gonzales^1,2

¹Author Affiliations : Department of Implementation Science (Huffman and Munn), Center for Experiential and Applied Learning (Saunders), and Department of Biostatistics and Data Science (Russell), Wake Forest University School of Medicine (Gonzales), Winston-Salem, North Carolina; Center for Nursing Research (Huffman) and Comprehensive Cancer Center (Butcher), Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina; Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina (Hampton).

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|November 6, 2024

Summary

This summary is machine-generated.

A new light-linking device for infusion lines significantly reduced medication administration time for critical care nurses, especially in low-light conditions. This technology also improved usability and decreased perceived task load.

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Area of Science:

Nursing
Medical Devices
Patient Safety

Background:

Critical care nurses face high task loads due to complex patients and numerous lines.
Administering medications requires rapid identification of injection ports, increasing task load.
Standard labeling practices may be insufficient for efficient and safe medication delivery.

Purpose of the Study:

To evaluate a light-linking infusion line identification device.
To compare this technology against standard labeling for time to injection, error rate, usability, and task load.
To assess performance in both daylight and low-light conditions.

Main Methods:

A randomized cross-over design was used with 47 intensive care nurses.
188 critical care simulations were conducted, comparing light-linking technology to standard labeling.
Data collected on time to injection, error rates, usability, and perceived task load.

Main Results:

Light-linking technology reduced overall time to injection compared to standard labeling.
A significant decrease in time to injection was observed in low-light settings.
The technology demonstrated greater perceived usability and lower perceived task load.
Injection error rates were not fully assessed, but most errors occurred in low-light.

Conclusions:

Light-linking infusion line identification technology offers benefits for critical care nurses.
The device improves efficiency and reduces cognitive burden, particularly in challenging lighting.
Further research is needed to fully assess the impact on injection error rates.