Anouk Arntz ontving op de proclamatie van 21 september 2026 de Prijs voor de masterproef met het meeste impact in het domein Verpleegkunde.
Haar masterproef is getiteld:
The Effect of Lighting Conditions on Video-Assessed Detection of Clinical Cues Compared to Live Observations Using the NIPDS: A Pilot Study
Introduction
Early detection of patient deterioration remains challenging, as subtle clinical cues are not always recognised by nurses. Clinical observation relies on nurses’ ability to interpret subtle changes in a patient’s condition, but is time-consuming and error-prone. Video-based monitoring has emerged as a promising approach in supporting nurses, but existing monitoring systems focus on objective physiological parameters and insufficiently address the subjective aspects. Video-based approaches may help bridging this gap, but their reliability under varying conditions, including lighting, remains unclear.
Objective
To determine the minimum level of lighting required in video recordings of patients for accurate video-based nurse assessments of clinical cues using the Nurse Intuition Patient Deterioration Scale (NIPDS).
Method
A prospective observational pilot study using a simulation patient in five scenarios representing clinical deterioration. Six nurses performed live assessments using the validated NIPDS-tool under standard lighting, serving as the reference. Thirty-five nurses assessed the same scenarios via video under seven lighting conditions. Reliability was evaluated using agreement measures and an intraclass correlation coefficient (ICC). The proportion of “non-assessable” ratings in the video group was analysed to determine the minimum viable lighting level.
Results
Video assessments under optimal lighting conditions demonstrated high reliability at total score level compared with the reference group (ICC = 0.90), but greater variability at NIPDS-item level. Lighting influenced assessability: a minimum viable lux level appears to be around a median of 3.5 lx. However, agreement with the reference group remained below 50% for most deterioration scenarios, even under optimal lighting conditions. Video assessments were best in confirming the absence of deterioration.
Conclusion
Whilst video assessments may reliably confirm the absence of deterioration, they show a limited ability to detect its presence. Video assessments may therefore be better suited as a trigger for further evaluation rather than as a comprehensive assessment tool.