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Optimizing Social Support in Oncology with Digital Platforms

Increased cancer prevalence and survival rates coupled with earlier patient discharges from hospitals have created a greater need for social support. Cancer care is both short term and long term, requiring acute treatments, treatments for remission, and long-term screenings and treatment regimens. H...

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Autores principales: Katsaros, Dimos, Hawthorne, James, Patel, Jay, Pothier, Kaitlin, Aungst, Timothy, Franzese, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270705/
https://www.ncbi.nlm.nih.gov/pubmed/35749161
http://dx.doi.org/10.2196/36258
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author Katsaros, Dimos
Hawthorne, James
Patel, Jay
Pothier, Kaitlin
Aungst, Timothy
Franzese, Chris
author_facet Katsaros, Dimos
Hawthorne, James
Patel, Jay
Pothier, Kaitlin
Aungst, Timothy
Franzese, Chris
author_sort Katsaros, Dimos
collection PubMed
description Increased cancer prevalence and survival rates coupled with earlier patient discharges from hospitals have created a greater need for social support. Cancer care is both short term and long term, requiring acute treatments, treatments for remission, and long-term screenings and treatment regimens. Health care systems are already overwhelmed and often struggle to provide social support systems for everyone. Caregivers are limited in number, and even when they are available, they often lack necessary information, skills, or resources to meet the needs of patients with cancer. The act of caregiving presents various challenges, and caregivers themselves often need social support as well. Despite these needs, most social support programs are targeted toward patients alone. Given the prevalence of cancer and known needs of these patients and their caregivers, the ability to identify those who need social support is crucial. Further, the scalability and overall availability of social support programs is vital for successful patient care. This paper establishes the benefits of social support for both patients and caregivers coping with cancer treatments, explores innovative ways of identifying patients who may need social support using digital tools, and reviews potential advantages of digital social support programs.
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spelling pubmed-92707052022-07-10 Optimizing Social Support in Oncology with Digital Platforms Katsaros, Dimos Hawthorne, James Patel, Jay Pothier, Kaitlin Aungst, Timothy Franzese, Chris JMIR Cancer Viewpoint Increased cancer prevalence and survival rates coupled with earlier patient discharges from hospitals have created a greater need for social support. Cancer care is both short term and long term, requiring acute treatments, treatments for remission, and long-term screenings and treatment regimens. Health care systems are already overwhelmed and often struggle to provide social support systems for everyone. Caregivers are limited in number, and even when they are available, they often lack necessary information, skills, or resources to meet the needs of patients with cancer. The act of caregiving presents various challenges, and caregivers themselves often need social support as well. Despite these needs, most social support programs are targeted toward patients alone. Given the prevalence of cancer and known needs of these patients and their caregivers, the ability to identify those who need social support is crucial. Further, the scalability and overall availability of social support programs is vital for successful patient care. This paper establishes the benefits of social support for both patients and caregivers coping with cancer treatments, explores innovative ways of identifying patients who may need social support using digital tools, and reviews potential advantages of digital social support programs. JMIR Publications 2022-06-24 /pmc/articles/PMC9270705/ /pubmed/35749161 http://dx.doi.org/10.2196/36258 Text en ©Dimos Katsaros, James Hawthorne, Jay Patel, Kaitlin Pothier, Timothy Aungst, Chris Franzese. Originally published in JMIR Cancer (https://cancer.jmir.org), 24.06.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Katsaros, Dimos
Hawthorne, James
Patel, Jay
Pothier, Kaitlin
Aungst, Timothy
Franzese, Chris
Optimizing Social Support in Oncology with Digital Platforms
title Optimizing Social Support in Oncology with Digital Platforms
title_full Optimizing Social Support in Oncology with Digital Platforms
title_fullStr Optimizing Social Support in Oncology with Digital Platforms
title_full_unstemmed Optimizing Social Support in Oncology with Digital Platforms
title_short Optimizing Social Support in Oncology with Digital Platforms
title_sort optimizing social support in oncology with digital platforms
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270705/
https://www.ncbi.nlm.nih.gov/pubmed/35749161
http://dx.doi.org/10.2196/36258
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