Pilot Testing of a Real-Time Oncogeriatric Teleconsultation System Using the Total Cancer Care™ Database

NCT ID: NCT02708381

Last Updated: 2022-11-14

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

COMPLETED

Total Enrollment

31 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-03-19

Study Completion Date

2016-02-09

Brief Summary

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The main purpose of this study is to pilot a real time electronic consultation with an Oncogeriatric Information Team (OGIT) located at Moffitt using Total Cancer Care (TCC). Investigators want to see for which type of patients this information is the most useful, and work out the practical ways of making this process work.

Detailed Description

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This is a multicenter study to test a real time consultation system using the Total Cancer CareTM database (TCC) cohort at the H. Lee Moffitt Cancer Center, Tampa, Florida, USA. The purpose is to make Moffitt's expertise available to private practice oncologists throughout Florida. An oncologist seeing an older patient with a difficult case could send key patient parameters to a senior adult expert at Moffitt. The TCC concierge would extract from the TCC database patients with similar characteristics. The oncogeriatric information team (OGIT) would review those cases and provide a summary report of treatments received and outcomes. The treating oncologist could then use that as an on-demand case series to help in the decision making. In order to pilot and build up the large scale intervention, several steps are necessary. The first step was a scenario testing with vignettes, which allowed tracing the most effective way of retrieving and formatting the information. The next step will be a pilot testing of the intervention in real time with one private practice.

Primary Aims:

To assess which format of expert-vetted database consultation and patient selection is the most useful to a private practice oncologist. We will test a model of approach and gain feedback on subjective utility and objective treatment modification profiles, in order to target a future study towards the stakeholders most likely to benefit. Impact of the consultation on treatment plan (per pre-post e-mails). Availability of similar patients in the TCC database.

Conditions

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Oncology Problem

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

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Senior Adult Cancer Patients

Cancer patient population 70 years and older, eligible for screening.

Screening

Intervention Type OTHER

Screening for geriatric issues to be referred to the Moffitt Cancer Center Oncogeriatric Information Team (OGIT).

Interventions

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Screening

Screening for geriatric issues to be referred to the Moffitt Cancer Center Oncogeriatric Information Team (OGIT).

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Patients aged 70 or older with a documented malignancy seen at Lynn Cancer Institute (LCI), as a new or established patient, and for whom a treatment decision has to be made.
* Signed written informed consent

Exclusion Criteria

* Patients younger than 70 years of age
* Inability to consent
* Inability to complete the study questionnaires (assistance for physical impairments is allowed)
* Urgent treatment decision need
Minimum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Lynn Cancer Institute

UNKNOWN

Sponsor Role collaborator

H. Lee Moffitt Cancer Center and Research Institute

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Martine Extermann, M.D., Ph.D.

Role: PRINCIPAL_INVESTIGATOR

H. Lee Moffitt Cancer Center and Research Institute

Locations

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Lynn Cancer Institute, Boca Raton Regional Hospital

Boca Raton, Florida, United States

Site Status

H. Lee Moffitt Cancer Center and Research Institute

Tampa, Florida, United States

Site Status

Countries

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United States

References

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Dougoud-Chauvin V, Lee JJ, Santos E, Williams VL, Battisti NML, Ghia K, Sehovic M, Croft C, Kim J, Balducci L, Kish JA, Extermann M. Using Big Data in oncology to prospectively impact clinical patient care: A proof of concept study. J Geriatr Oncol. 2018 Nov;9(6):665-672. doi: 10.1016/j.jgo.2018.03.017. Epub 2018 Apr 17.

Reference Type DERIVED
PMID: 29678669 (View on PubMed)

Related Links

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https://moffitt.org/

Moffitt Cancer Center website

Other Identifiers

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MCC-18059

Identifier Type: -

Identifier Source: org_study_id

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