NCT06403826

Brief Summary

The goal of this monocentric observational study involving acute hospitalised patients is to develop a classification algorithm for the detection of various movements parameters.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Jan 2023

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 10, 2023

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 25, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 25, 2023

Completed
11 months until next milestone

First Submitted

Initial submission to the registry

May 3, 2024

Completed
5 days until next milestone

First Posted

Study publicly available on registry

May 8, 2024

Completed
Last Updated

May 8, 2024

Status Verified

May 1, 2024

Enrollment Period

5 months

First QC Date

May 3, 2024

Last Update Submit

May 3, 2024

Conditions

Keywords

Movement detectionActivity sensorsSensor positioningAlgorithm development

Outcome Measures

Primary Outcomes (1)

  • Development of a classification algorithm for the detection of movements parameters

    Patients undergo a test battery that contains a fixed sequence of movements. A sensor on either the ankle, wrist or outer thigh is used to measure patient movement accurately and continuously and to generate acceleration and gryoscope data. These data, including duration of lying, sitting and standing, number of sit-to-stand repetitions, steps taken when walking and climbing stairs (up/down), and distance covered while walking, are used for the development of a classification algorithm for the detection of movements parameters.

    5 days during hospitalization (up to 1 hour per day)

Secondary Outcomes (1)

  • Evaluation of best sensor positioning

    5 days during hospitalization (up to 6 hours per day)

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Acute hospitalized patients are continuously recruited by the project management team within the context of daily clinical practice from a surgical ward at the University Hospital Basel. Recruitment takes place as soon as possible after admission to the hospital.

You may qualify if:

  • patient must have been able to walk before hospitalisation (with or without aids)
  • patient must be cognitively able to follow instructions (if a cognitive assessment has been carried out, this cut-off value counts, if no assessment is available, no cognitive impairment is assumed)
  • ≥ 18 years
  • signed informed consent

You may not qualify if:

  • patient unable to move prior to hospital admission
  • discharge on the same day
  • inability or contraindications to participate in the study or to follow the study procedures, e.g. due to certain neurological disorders (such as Parkinsonism, hemiplegia, severe Multiple Sclerosis), speech problems, mental disorders, or cognitive impairments isolated patient (unable to complete the test battery completely)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Universitiy Hospital Basel, Division of Internal Medicine

Basel, Canton of Basel-City, 4031, Switzerland

Location

Related Publications (1)

  • Kirchberger J, Kunz D, Perrot G, Hirsch S, Leifke M, Holz B, Geissmann L, Kach M, Wehrli S, Eckstein J. An explorative study on movement detection using wearable sensors in acute care hospital patients. Sci Rep. 2025 Jun 6;15(1):19941. doi: 10.1038/s41598-025-04340-6.

MeSH Terms

Conditions

Sedentary Behavior

Condition Hierarchy (Ancestors)

Behavior

Study Officials

  • Joris Kirchberger

    University Hospital, Basel, Switzerland

    PRINCIPAL INVESTIGATOR
  • Jens Eckstein, Prof. Dr. med.

    University Hospital, Basel, Switzerland

    STUDY CHAIR

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 3, 2024

First Posted

May 8, 2024

Study Start

January 10, 2023

Primary Completion

May 25, 2023

Study Completion

May 25, 2023

Last Updated

May 8, 2024

Record last verified: 2024-05

Locations