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NCT05054907

Using Wearable Device to Improve Quality of Palliative Care

Status unknown Last updated 9 November 2022
What this trial tests

trial in Terminal Cancer in 75 participants. Status unknown.

Timeline
23 September 2021
Primary endpoint
31 December 2022
30 April 2023

Quick facts

Lead sponsorNational Taiwan University Hospital
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment75
Start date23 September 2021
Primary completion31 December 2022
Estimated completion30 April 2023
Sites2 locations across Taiwan

Conditions studied

Sponsor

National Taiwan University Hospital

Who can join

Adults 20 to 105, any sex, with Terminal Cancer or End Stage Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This study is going to use wearable devices and smartphones to collect physical data from terminal patients and build a survival predicting model for terminal patients with machine learning. Investigators hypothesize that continuous physical data monitoring could offer a hint to better predictability in end-of-life care.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study.
    Liu JH, Shih CY, Huang HL, Peng JK, et al · · 2023 · cited 28× · PMID 37594793 · DOI 10.2196/47366

Verify or expand the search:

Other recruiting trials for Terminal Cancer

Currently open trials in the same condition.

Other National Taiwan University Hospital trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05054907.

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