NCT04368130

Brief Summary

This research study is testing the use of a smartphone app to identify clinically meaningful changes in the behaviors of patients' with gynecological cancers by using passively collected smartphone data.

Trial Health

30
At Risk

Trial Health Score

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

Trial has exceeded expected completion date
Timeline
Completed

Started Sep 2022

Shorter than P25 for not_applicable ovarian-cancer

Geographic Reach
1 country

1 active site

Status
withdrawn

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

First Submitted

Initial submission to the registry

April 27, 2020

Completed
2 days until next milestone

First Posted

Study publicly available on registry

April 29, 2020

Completed
2.3 years until next milestone

Study Start

First participant enrolled

September 1, 2022

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2023

Completed
Last Updated

October 14, 2022

Status Verified

October 1, 2022

Enrollment Period

1 year

First QC Date

April 27, 2020

Last Update Submit

October 13, 2022

Conditions

Keywords

Ovarian CancerFallopian Tube CancerPrimary Peritoneal CarcinomaUterine CancerCervical CancerGynecologic Cancer

Outcome Measures

Primary Outcomes (3)

  • Rate of enrollment

    Feasibility will be demonstrated if ≥50% of eligible participants enroll

    6 Months

  • Rate of completion

    Feasibility will be demonstrated if ≥50% of eligible participants adhere to the smartphone app

    6 Months

  • Burden rate

    Acceptability will be defined as: \<30% of patients rate the study as burdensome.

    6 Months

Study Arms (1)

SIGNAL

EXPERIMENTAL

Program to explore the feasibility and acceptability of a smartphone-based real-time behavioral anomaly detection system (SIGNAL). Patients will download the adapted Beiwe app onto their smartphones for a 6-month period and investigators will collect passive smartphone sensor data and active PRO data bi-weekly.

Behavioral: SIGNAL

Interventions

SIGNALBEHAVIORAL

SIGNAL is a smartphone-based mobile health intervention designed to improve important outcomes in cancer patient patients (e.g., symptom burden, physical functioning). Patients will download the adapted Beiwe app for a 6-month period and investigators will collect passive smartphone sensor data and active PRO data bi-weekly.

SIGNAL

Eligibility Criteria

Age18 Years+
Sexfemale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Women \>18 years of age with newly diagnosed ovarian cancer (i.e. prior to completion of cytoreductive surgery-whether primary or interval cytoreductive surgery).
  • Own a smartphone (Android or iOS).
  • Capable of downloading and running the study apps.
  • Can read and provide informed consent in English.
  • Do not have cognitive or visual impairments that would preclude use of the app.

You may not qualify if:

  • Patients will be ineligible if they are participating in an investigational drug treatment trial that requires structured symptom or toxicity reporting at the time of enrollment.
  • Patients with severe cognitive impairments or who appear too weak, emotionally distraught, agitated or ill to participate, as judged by either the research study staff or an oncology provider, will be excluded.
  • Patients who are unable to provide informed consent in English will be excluded because the smartphone app is only available in English at this time.
  • Children and young adults up to age 17 will be excluded because the diagnosis of metastatic gynecologic cancers in this age group is rare and the proposed instruments are not designed for people of those ages.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Dana Farber Cancer Institute

Boston, Massachusetts, 02215, United States

Location

MeSH Terms

Conditions

Ovarian NeoplasmsFallopian Tube NeoplasmsUterine NeoplasmsUterine Cervical Neoplasms

Condition Hierarchy (Ancestors)

Endocrine Gland NeoplasmsNeoplasms by SiteNeoplasmsOvarian DiseasesAdnexal DiseasesGenital Diseases, FemaleFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesGenital Neoplasms, FemaleUrogenital NeoplasmsGenital DiseasesEndocrine System DiseasesGonadal DisordersFallopian Tube DiseasesUterine DiseasesUterine Cervical Diseases

Study Officials

  • Alexi A. Wright, MD

    Dana-Farber Cancer Institute

    PRINCIPAL INVESTIGATOR
0

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
SUPPORTIVE CARE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

April 27, 2020

First Posted

April 29, 2020

Study Start

September 1, 2022

Primary Completion

September 1, 2023

Study Completion

September 1, 2023

Last Updated

October 14, 2022

Record last verified: 2022-10

Data Sharing

IPD Sharing
Will share

The Dana-Farber / Harvard Cancer Center encourages and supports the responsible and ethical sharing of data from clinical trials. De-identified participant data from the final research dataset used in the published manuscript may only be shared under the terms of a Data Use Agreement. Requests may be directed to Sponsor Investigator or designee. The protocol and statistical analysis plan will be made available on Clinicaltrials.gov only as required by federal regulation or as a condition of awards and agreements supporting the research.

Shared Documents
STUDY PROTOCOL, SAP, ICF
Time Frame
Data can be shared no earlier than 1 year following the date of publication
Access Criteria
DFCI - Contact the Belfer Office for Dana-Farber Innovations (BODFI) at innovation@dfci.harvard.edu

Locations