Family History in a Singapore Oncology Population

NCT04639934 | Completed

• 1 other identifier: Pro00087654
• Study Type: observational
• Target: 102
• Locations: 1 country
• Sites: 1

Brief Summary

This study will create a Breast Cancer Clinical Decision Support Module in MeTree and validate and pilot the Breast Cancer Clinical Decision Support Module in a clinical setting within SingHealth. This proposal leverages the larger collaborative work already started to explore clinically meaningful applications of MeTree within SingHealth. While MeTree has been shown to be clinically effective within primary care clinics in the U.S., SingHealth's oncologists are interested in leveraging MeTree's risk assessment features both to establish a more organized, standardized, and systematic process for collecting information to enhance cancer management and to maximize the advances in precision medicine for the benefit of cancer patients. Therefore, in collaboration with SingHealth oncologist Dr.Ngeow, the principal investigators propose to explore, develop, and pilot a prototype MeTree cancer module.

Conditions

Breast Cancer

Outcome Measures

Primary Outcomes (1)

• Risk Recommendations

  measure rate of increased hereditary cancer risk found in breast cancer population

  post-study, up to six months

Secondary Outcomes (3)

• Provider adherence to risk recommendations

  post-study, up to six months

• Participant adherence to risk recommendations

  post-study, up to six months

• Participant satisfaction with using MeTree risk platform

  post-study, up to six months

Study Arms (1)

Breast cancer patients

Breast cancer patients being seen at SingHealth

Genetic: MeTree

Interventions

MeTree GENETIC

Software program collecting family health history and generating clinical decision support for risk-based preventive care

Breast cancer patients

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

* New patients of the two intervention clinics (NCCS cancer genetics clinic and surgical breast cancer clinic) We will recruit 100 participants, of which 20 will be invited to participate in one to one interviews. * at least 10 employees in the above intervention clinics and the ongoing MeTree-Biobank pilot who are 1) staff assisting patients using MeTree, or 2) providers reviewing MeTree risk reports with patients. * 20 Healthy volunteers from the MeTree-Biobank pilot who have completed MeTree and agreed to re-contact for future studies, will be invited to participate in one to one interviews on the same topics as the patients in #1.

You may qualify if:

• New patients attending either of the two intervention clinics (NCCS cancer genetics clinic and surgical breast cancer clinic)
• Employees in the above intervention clinics and the ongoing MeTree-Biobank pilot who are 1) staff assisting patients using MeTree, or 2) providers reviewing MeTree risk reports with patients, will be invited to participate in one to one interviews. We plan to recruit at least 10 employees for interviews.
• Healthy volunteers from the MeTree-Biobank pilot who have completed MeTree and agreed to re-contact for future studies, will be invited to participate in one to one interviews on the same topics as the patients in #1. We will recruit 20 Biobank participants for interviews.

Sponsors & Collaborators

• Duke University: lead

Study Sites (1)

NCCS Cancer Genetics Clinic

Singapore, Singapore

Location

Related Publications (1)

• Fung SM, Wu RR, Myers RA, Goh J, Ginsburg GS, Matchar D, Orlando LA, Ngeow J. Clinical implementation of an oncology-specific family health history risk assessment tool. Hered Cancer Clin Pract. 2021 Mar 20;19(1):20. doi: 10.1186/s13053-021-00177-y.

  PMID: 33743786 DERIVED

MeSH Terms

Conditions

Breast Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by Site; Neoplasms; Breast Diseases; Skin Diseases; Skin and Connective Tissue Diseases

Study Officials

• Lori A Orlando, MD MPH

  Duke University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 17, 2020
• First Posted: November 23, 2020
• Study Start: January 7, 2019
• Primary Completion: August 31, 2019
• Study Completion: August 31, 2019
• Last Updated: February 10, 2025

Record last verified: 2023-08

Data Sharing

• IPD Sharing: Will not share

Locations

SG (1)