ArticleScientific reports2025
Clinical needs assessment for non-invasive intraoperative bladder volume monitoring devices: a cross-sectional study based on the Kano model.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Automated estimation of drain output in postoperative patients using deep learning on clinical images.Scientific reports · 2026Article
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3 authors.
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Abstract
Intraoperative urine output is a key indicator of fluid balance and renal function. With the rise of enhanced recovery after surgery (ERAS) protocols, there is a growing demand for non-invasive bladder monitoring alternatives to traditional catheterization, which poses risks such as infection and urethral injury. This study aimed to identify user-centered requirements for a non-invasive intraoperative bladder volume monitoring device using the Kano model. A cross-sectional survey was conducted among 388 surgical professionals, including anesthesiologists, surgeons, and nurses from tertiary hospitals. A Kano-based questionnaire evaluated 24 features related to device function, operation, and design. Image-assisted prototypes were used to enhance clarity. Features were classified using the Kano model and analyzed with Better-Worse coefficients. Seven features, including measurement accuracy, safety, and real-time monitoring, were identified as must-be attributes. Eight one-dimensional attributes, such as urine volume alarms and ergonomic design, positively influenced user satisfaction. Attractive features like trend analysis and affordable pricing showed high satisfaction potential. Role-specific preferences were observed across professional groups. This is the first Kano-based study assessing intraoperative non-invasive urine monitoring needs. Findings offer actionable insights for developing ERAS-compatible, user-centered monitoring technologies tailored to multidisciplinary workflows.
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