Development and implementation of an interdisciplinary telemedicine clinic for older patients with cancer-Preliminary data.

asynchronous assessment geriatric assessment geriatric oncology hybrid model telemedicine

Journal

Journal of the American Geriatrics Society
ISSN: 1532-5415
Titre abrégé: J Am Geriatr Soc
Pays: United States
ID NLM: 7503062

Informations de publication

Date de publication:
05 2023
Historique:
revised: 03 01 2023
received: 14 11 2022
accepted: 17 01 2023
pmc-release: 01 05 2024
medline: 12 5 2023
pubmed: 7 2 2023
entrez: 6 2 2023
Statut: ppublish

Résumé

Frailty assessment is an important marker of the older adult's fitness for cancer treatment independent of age. Pretreatment geriatric assessment (GA) is associated with improved mortality and morbidity outcomes but must occur in a time sensitive manner to be useful for cancer treatment decision making. Unfortunately, time, resources and other constraints make GA difficult to perform in busy oncology clinics. We developed the Cancer and Aging Interdisciplinary Team (CAIT) clinic model to provide timely GA and treatment recommendations independent of patient's physical location. The interdisciplinary CAIT clinic model was developed utilizing the surge in telemedicine during the COVID-19 pandemic. The core team consists of the patient's oncologist, geriatrician, registered nurse, pharmacist, and registered dietitian. The clinic's format is flexible, and the various assessments can be asynchronous. Patients choose the service method-in person, remotely, or hybrid. Based on GA outcomes, the geriatrician provides recommendations and arrange interventions. An assessment summary including life expectancy estimates and chemotoxicity risk calculator scores is conveyed to and discussed with the treating oncologist. Physician and patient satisfaction were assessed. Between May 2021 and June 2022, 50 patients from multiple physical locations were evaluated in the CAIT clinic. Sixty-eight percent was 80 years of age or older (range 67-99). All the evaluations were hybrid. The median days between receiving a referral and having the appointment was 8. GA detected multiple unidentified impairments. About half of the patients (52%) went on to receive chemotherapy (24% standard dose, 28% with dose modifications). The rest received radiation (20%), immune (12%) or hormonal (4%) therapies, 2% underwent surgery, 2% chose alternative medicine, 8% were placed under observation, and 6% enrolled in hospice care. Feedback was extremely positive. The successful development of the CAIT clinic model provides strong support for the potential dissemination across services and institutions.

Sections du résumé

BACKGROUND
Frailty assessment is an important marker of the older adult's fitness for cancer treatment independent of age. Pretreatment geriatric assessment (GA) is associated with improved mortality and morbidity outcomes but must occur in a time sensitive manner to be useful for cancer treatment decision making. Unfortunately, time, resources and other constraints make GA difficult to perform in busy oncology clinics. We developed the Cancer and Aging Interdisciplinary Team (CAIT) clinic model to provide timely GA and treatment recommendations independent of patient's physical location.
METHODS
The interdisciplinary CAIT clinic model was developed utilizing the surge in telemedicine during the COVID-19 pandemic. The core team consists of the patient's oncologist, geriatrician, registered nurse, pharmacist, and registered dietitian. The clinic's format is flexible, and the various assessments can be asynchronous. Patients choose the service method-in person, remotely, or hybrid. Based on GA outcomes, the geriatrician provides recommendations and arrange interventions. An assessment summary including life expectancy estimates and chemotoxicity risk calculator scores is conveyed to and discussed with the treating oncologist. Physician and patient satisfaction were assessed.
RESULTS
Between May 2021 and June 2022, 50 patients from multiple physical locations were evaluated in the CAIT clinic. Sixty-eight percent was 80 years of age or older (range 67-99). All the evaluations were hybrid. The median days between receiving a referral and having the appointment was 8. GA detected multiple unidentified impairments. About half of the patients (52%) went on to receive chemotherapy (24% standard dose, 28% with dose modifications). The rest received radiation (20%), immune (12%) or hormonal (4%) therapies, 2% underwent surgery, 2% chose alternative medicine, 8% were placed under observation, and 6% enrolled in hospice care. Feedback was extremely positive.
CONCLUSIONS
The successful development of the CAIT clinic model provides strong support for the potential dissemination across services and institutions.

Identifiants

pubmed: 36744590
doi: 10.1111/jgs.18267
pmc: PMC10175129
mid: NIHMS1869425
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1638-1649

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

Informations de copyright

© 2023 The American Geriatrics Society.

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Auteurs

Koshy Alexander (K)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Weil Cornell Medical College, New York, New York, USA.

Paul A Hamlin (PA)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Weil Cornell Medical College, New York, New York, USA.

William P Tew (WP)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Weil Cornell Medical College, New York, New York, USA.

Kelly Trevino (K)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Amy L Tin (AL)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Armin Shahrokni (A)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Weil Cornell Medical College, New York, New York, USA.

Elissa Meditz (E)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Manpreet Boparai (M)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Farnia Amirnia (F)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Weil Cornell Medical College, New York, New York, USA.

Sung Wu Sun (SW)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Weil Cornell Medical College, New York, New York, USA.

Beatriz Korc-Grodzicki (B)

Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Weil Cornell Medical College, New York, New York, USA.

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Classifications MeSH