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Completed

NCT Number: NCT06784011

SHIFT-Hospital in Motion (Hospital Implementation Study)

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

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Universitiy Hospital Basel, Division of Internal Medicine

Basel, Canton of Basel-City, 4031, Switzerland

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • at least 3 days inpatient on the medical ward 6.1 (Monday to a maximum of Thursday or Tuesday to a maximum of Friday)
  • at least restricted bed rest
  • patient must be able to walk
  • patient must be cognitively able to follow instructions (normal Observation Screening Scale (DOS) und modified Confusion Assessment Method (mCAM))
  • ≥ 18 years
  • signed informed consent

Exclusion criteria

  • planned discharge within the next 3 days
  • planned surgery during the measurement
  • isolated patient
  • inability or contraindications to participate in the study or to follow the study procedures, e.g. due to certain neurological disorders, speech problems, mental disorders, or cognitive impairments
  • prior inclusion in the study

Treatment and study plan

Primary outcomes

  1. Evaluation of the time expenditure

    Time frame: Day 1-4

    Using a study-specific questionnaire, the additional time expenditure associated with the use of activity sensors by physiotherapy and clinical care is evaluated.

Secondary outcomes

  1. Assessment of the comfort level associated with wearing the sensors

    Time frame: Day 2-4

    The comfort of wearing the sensors is evaluated by a questionnaire. The responses from patients are being collected regarding the discomfort of wearing the sensors or any problems with the attachment.

  2. Evaluation of the handling

    Time frame: After 10-week period (at recruitment completion)

    Evaluation of the handling of activity sensors and the possibilities for integrating the sensors into daily hospital practice through an open, study-specific interview after recruitment completion.

  3. Assessment of the accuracy of the classification algorithm for the detection of movements parameters

    Time frame: Day 1-3

    The activity sensor is used to continuously collect data. Additionally, once a day a spot measurement is taken. It is checked whether the algorithm of the activity sensors aligns with the manual recording of various movements.

    The accuracy of the algorithm is calculated using a multi-class confusion matrix. The rows are the actual classes and the columns are the predicted classes. The diagonal of the matrix contains the observations where the predicted class matches the actual class (true positive). Accuracy [in %]= Sum of the diagonal elements / Total number of observations * 100. This will ensure the reliability and accuracy of the recorded data, as well as allow for the verification of data loss over multiple days.

  4. Optimization of activity classification algorithm

    Time frame: After 10-week period (at recruitment completion)

    If the algorithm incorrectly classifies activities, a detailed analysis will be conducted after the recruitment phase to optimize the system accordingly.

Sponsors and collaborators

Lead sponsor

University Hospital, Basel, Switzerland

Other

Collaborators

  • Zurich University of Applied Sciences

Registry information

Official study title

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

Important dates

Study start
2024
Primary completion
2025
Study completion
2025
First posted
Jan 20, 2025
Registry last updated
Oct 1, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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