University of Twente Student Theses
Confidential
Bickes, N.J.Z. (2025) Confidential.
Full text not available from this repository.
Full Text Status: | Access to this publication is restricted |
Abstract: | In 2024, early discharge after colorectal resection was implemented in the MST using home monitoring with an application where patients fill out vital sign measurements and questions twice daily to detect early symptoms of postoperative complications. This study evaluates which information request is related to the early detection of complications via home monitoring to optimize the protocol for both healthcare professionals and patients. A retrospective cohort analysis was performed on 70 patients discharged early after elective colorectal resection in 2024 using the Luscii app. The primary outcome was the number of alarms per patient per day and the average measurement values in patients with (+C) and without complications (-C). The influence of adjusted threshold values and combined alarms on sensitivity and specificity was evaluated for the secondary outcome. The median number of alarms per patient and the measurement values of seven questions were significantly different between groups (+C 6.7 (5.0-7.8); -C 5.0 (4.4-6.0) p=0.01). In conclusion, the current protocol detects complications. Optimization is possible by excluding questions without predictive value, adjusting threshold values , and combining questions and measurements. Future research into temporal factors and risk profiles for personalized detection may improve the protocol. |
Item Type: | Essay (Bachelor) |
Faculty: | TNW: Science and Technology |
Subject: | 44 medicine |
Programme: | Technical Medicine BSc (50033) |
Link to this item: | https://purl.utwente.nl/essays/104915 |
Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Repository Staff Only: item control page