Home And Locally Observed - Tracking (HALO-Trak)

NCT ID: NCT05971277

Last Updated: 2023-08-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-01-30

Study Completion Date

2026-04-01

Brief Summary

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The goal of this observational study is to collect biometric, HRQoL, immune response and genomic data continuously and intermittently during and after chemo or immunotherapy for the generation of a complex dataset using a platform which can aggregate different types of data collected over a time period and, to test the potential for analysis within and across data sets with linkage to clinical outcomes. The framework will have capabilities to integrate data from electronic medical records (EMRs) such as Epic, as well as digital streams including sensor, genomic, imaging and pathology. Such a platform can realise the potential for machine learning (ML) methodologies to address important cancer outcomes.

Detailed Description

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The Investigators overarching aim is to determine the relationship between measures of physical performance status including heart rate and steps, health related quality of life (HRQoL) and genomic and immunogenomic phenotype on cancer outcomes in patients receiving chemotherapy or immunotherapy for haematological or metastatic cancer including renal (papillary, and RCC), breast, prostate, and other solid tumours. The primary objective is to test the feasibility of integrating diverse data streams (genomic, HR QoL and biometric) on a novel platform, capable of integrating data streams thus generating complex datasets for analyses using machine learning methodologies.

Secondary objectives will be to conduct exploratory analysis assessing the relationship between individual and combined data types and cancer outcomes.

Analysis using existing and novel computational models will be applied to the data to events in the acute and chronic setting that are common in patients diagnosed with cancer undergoing systemic therapy such as chemotherapy and immunotherapy. The outputs from this study will help inform future studies and trials designed to inform patients about their health status during cancer therapy

Conditions

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Advanced Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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Halo Wearable data device

A wrist-worn tracker with heart-rate monitor and pedometer (step counter), as well as a mobile app.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* ● A diagnosis of a metastatic or haematological cancer undergoing systemic therapy

* Undergoing at least 1 planned cycle of chemotherapy or immunotherapy, according to standard of care practices.
* Ability to understand and the willingness to sign a written informed consent.
* Able to ambulate without assistance or walking aid.
* Have an Android or iOS phone and willing to download the Ethera app

Exclusion Criteria

* ● Physical disabilities that preclude daily walking

* Inability to provide informed consent.
* Unable to use and operate the Ethera Health Monitoring Smartphone App. (Apple or Android)
* Medical or psychiatric condition which in the investigator's opinion would affect the successful completion of the study.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University College, London

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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UCL London

London, , United Kingdom

Site Status RECRUITING

Countries

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United Kingdom

Central Contacts

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John D Kelly, Professor

Role: CONTACT

07549152902

Hazel McBain

Role: CONTACT

07342976009

Facility Contacts

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John D Kelly, Professor

Role: primary

075497152902

Hazel McBain, Snr Nurse

Role: backup

07342976009

Other Identifiers

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312296

Identifier Type: OTHER

Identifier Source: secondary_id

150745

Identifier Type: -

Identifier Source: org_study_id

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