Study Stopped
Technology issues
A Geriatric Assessment Electronic Platform for Older Patients With Cancer (eGAP - Electronic Geriatric Assessment Platform)
eGAP
1 other identifier
interventional
21
1 country
1
Brief Summary
This project assesses the feasibility and usability of the geriatric assessment platform (electronic Geriatric Assessment Platform or eGAP in 50 older patients with cancer, their caregivers, and their oncology team. Using an iterative process, we will refine the eGAP based on input from stakeholders.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable cancer
Started Dec 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 27, 2021
CompletedFirst Posted
Study publicly available on registry
April 1, 2021
CompletedStudy Start
First participant enrolled
December 7, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2023
CompletedJanuary 5, 2026
December 1, 2025
1.4 years
March 27, 2021
December 31, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Feasibility Retention Rate
Percentage of patients completing the assessments that are assigned to them on eGAP
1 week
Secondary Outcomes (3)
Recruitment rates
1 week
Self-Report Completion Time
1 week
System Usability Scale
1 week
Study Arms (1)
Experimental
EXPERIMENTALThe eGAP consists of validated questionnaires that are used to assess health status of older adults with cancer. Based on patient responses, tailored recommendations will be provided.
Interventions
eGAP that allows patients to complete validated questionnaires, and these questionnaires will be summarized and recommendations provided to the treating team
Eligibility Criteria
You may qualify if:
- Age ≥65 years
- Have a diagnosis of cancer
- Able to provide informed consent
- English-speaking (because the platform is currently in English)
- Age ≥21 years
- Selected by patient when asked if there is a "family member, partner, friend, or caregiver with whom you discuss or who can be helpful in health-related matters".
- Able to provide informed consent
- English-speaking
- Oncologists, APPs, and nurses who care for the patient
You may not qualify if:
- N/A
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Rochester
Rochester, New York, 14642, United States
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Kah Poh Loh
University of Rochester
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
- Associate Professor - Department of Medicine, Hematology/Oncology (SMD)
Study Record Dates
First Submitted
March 27, 2021
First Posted
April 1, 2021
Study Start
December 7, 2021
Primary Completion
April 30, 2023
Study Completion
April 30, 2023
Last Updated
January 5, 2026
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- The data will be available for 7 years from accrual of the first subject.
A complete and final study protocol will be made publicly available through the University of Rochester Cancer Center Community Oncology Research Program Research Base Protocol and Data Sharing Committee. The full protocol and data will be made publicly available no later than the publication date of the study findings from the final dataset. The protocol will include a detailed description of the study population, hypotheses tested, measurement and assessment information, data definitions and codes, and the analysis plan utilized. We will be collecting identifying information. The final dataset will be stripped of identifiers prior to release for sharing. Published papers will be made available in portable document format.