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Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model

This Longitudinal patient navigation Matrix Model was developed to overcome barriers across the cancer care continuum by offering prepatients, patients, and their families with support services. The extraordinary heterogeneity of patient needs during cancer screening, risk assessment, treatment, and...

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Autores principales: Corbett, Cheyenne M., Somers, Tamara J., Nuñez, Christine M., Majestic, Catherine M., Shelby, Rebecca A., Worthy, Valarie C., Barrett, Nadine J., Patierno, Steven R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7196067/
https://www.ncbi.nlm.nih.gov/pubmed/32129946
http://dx.doi.org/10.1002/cam4.2950
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author Corbett, Cheyenne M.
Somers, Tamara J.
Nuñez, Christine M.
Majestic, Catherine M.
Shelby, Rebecca A.
Worthy, Valarie C.
Barrett, Nadine J.
Patierno, Steven R.
author_facet Corbett, Cheyenne M.
Somers, Tamara J.
Nuñez, Christine M.
Majestic, Catherine M.
Shelby, Rebecca A.
Worthy, Valarie C.
Barrett, Nadine J.
Patierno, Steven R.
author_sort Corbett, Cheyenne M.
collection PubMed
description This Longitudinal patient navigation Matrix Model was developed to overcome barriers across the cancer care continuum by offering prepatients, patients, and their families with support services. The extraordinary heterogeneity of patient needs during cancer screening, risk assessment, treatment, and survivorship as well as the vast heterogeneity of oncology care settings make it nearly impossible to follow a static navigation model. Our model of patient cancer navigation is unique as it enhances the traditional model by being highly adaptable based on both patient and family needs and scalable based on institutional needs and resources (eg, clinical volumes, financial resources, and community‐based resources). This relatively new operational model for system‐wide and systematic navigation incorporates a carefully cultivated supportive care program that evolved over the last decade from a bottom up approach that identified patient and family needs and developed appropriate resources. A core component of this model includes shifting away from department‐centric operations. This model does not require a patient to opt in or independently be able to report their needs or ask for services—it is an opt out model. The multidisciplinary “cross‐training” model can also facilitate reimbursement and sustainability by clarifying the differentiating actions that define navigation services: identification of barriers to quality care and specific actions taken to overcome those barriers, across the full continue of cancer care from community engagement to survivorship or end‐of‐life care.
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spelling pubmed-71960672020-05-04 Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model Corbett, Cheyenne M. Somers, Tamara J. Nuñez, Christine M. Majestic, Catherine M. Shelby, Rebecca A. Worthy, Valarie C. Barrett, Nadine J. Patierno, Steven R. Cancer Med Cancer Prevention This Longitudinal patient navigation Matrix Model was developed to overcome barriers across the cancer care continuum by offering prepatients, patients, and their families with support services. The extraordinary heterogeneity of patient needs during cancer screening, risk assessment, treatment, and survivorship as well as the vast heterogeneity of oncology care settings make it nearly impossible to follow a static navigation model. Our model of patient cancer navigation is unique as it enhances the traditional model by being highly adaptable based on both patient and family needs and scalable based on institutional needs and resources (eg, clinical volumes, financial resources, and community‐based resources). This relatively new operational model for system‐wide and systematic navigation incorporates a carefully cultivated supportive care program that evolved over the last decade from a bottom up approach that identified patient and family needs and developed appropriate resources. A core component of this model includes shifting away from department‐centric operations. This model does not require a patient to opt in or independently be able to report their needs or ask for services—it is an opt out model. The multidisciplinary “cross‐training” model can also facilitate reimbursement and sustainability by clarifying the differentiating actions that define navigation services: identification of barriers to quality care and specific actions taken to overcome those barriers, across the full continue of cancer care from community engagement to survivorship or end‐of‐life care. John Wiley and Sons Inc. 2020-03-04 /pmc/articles/PMC7196067/ /pubmed/32129946 http://dx.doi.org/10.1002/cam4.2950 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Prevention
Corbett, Cheyenne M.
Somers, Tamara J.
Nuñez, Christine M.
Majestic, Catherine M.
Shelby, Rebecca A.
Worthy, Valarie C.
Barrett, Nadine J.
Patierno, Steven R.
Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model
title Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model
title_full Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model
title_fullStr Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model
title_full_unstemmed Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model
title_short Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model
title_sort evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model
topic Cancer Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7196067/
https://www.ncbi.nlm.nih.gov/pubmed/32129946
http://dx.doi.org/10.1002/cam4.2950
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