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CompletedNCT06784011

SHIFT-Hospital in Motion (Hospital Implementation Study)

SHIFT-Hospital in Motion: Use of Activity Sensors in the Clinical Setting

Status
Completed
Phase
Study type
Observational
Enrollment
19 (actual)
Sponsor
University Hospital, Basel, Switzerland · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Not accepted

Summary

The goal of this monocentric observational study involving hospitalised patients is to assess the integration of activity sensors into routine clinical practice.

Detailed description

Patients in hospitals spend the majority of their time inactive, sitting or lying down. Not being active is a common problem for patients in hospitals, often causing complications and impairing recovery, as it can lead to issues such as reduced blood volume, unsteady blood pressure when standing, weaker muscles, and a higher risk of infections, blood clots, and other health issues. The inactivity-related changes in the body in combination with the natural ageing process, the stress of being in the hospital, a poor nutritional status, and possibly troubles with thinking, memory, and understanding or depression diminish the ability to regenerate with overall compromised physiological resilience. A pilot study (NCT06403826) involving 40 patients demonstrated the feasibility and effectiveness of using activity sensors in clinical settings. A subsequent validation study (NCT06396676) validated a classification model based on activity data from 65 patients, which can distinguish between different activities with 89% accuracy. The integration of activity sensors into routine clinical practice requires a comprehensive infrastructure to support interdisciplinary collaboration. Therefore, the primary objective of this observational, single center study is to evaluate the additional time expenditure associated with using activity sensors in routine clinical practice by physiotherapy and clinical care over a 10-week period. Secondary objectives include assessing the comfort of extended sensor use, the feasibility and benefits for healthcare professionals, the reliability and accuracy of the sensor data, and the optimization of the activity classification algorithm. The results of this study will contribute to improving patient care through the use of activity sensors, enabling more personalized care.

Conditions

Timeline

Start date
2024-11-25
Primary completion
2025-03-11
Completion
2025-06-30
First posted
2025-01-20
Last updated
2025-10-01

Locations

1 site across 1 country: Switzerland

Source: ClinicalTrials.gov record NCT06784011. Inclusion in this directory is not an endorsement.