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Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients
BACKGROUND: Despite the well documented advantages of hospice care, most terminally ill patients do not reap the maximum benefit from hospice services, with the majority of them receiving hospice care either prematurely or delayed. Decision systems to improve the hospice referral process are sorely...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305393/ https://www.ncbi.nlm.nih.gov/pubmed/22196308 http://dx.doi.org/10.1186/1472-6947-11-77 |
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author | Tsalatsanis, Athanasios Barnes, Laura E Hozo, Iztok Djulbegovic, Benjamin |
author_facet | Tsalatsanis, Athanasios Barnes, Laura E Hozo, Iztok Djulbegovic, Benjamin |
author_sort | Tsalatsanis, Athanasios |
collection | PubMed |
description | BACKGROUND: Despite the well documented advantages of hospice care, most terminally ill patients do not reap the maximum benefit from hospice services, with the majority of them receiving hospice care either prematurely or delayed. Decision systems to improve the hospice referral process are sorely needed. METHODS: We present a novel theoretical framework that is based on well-established methodologies of prognostication and decision analysis to assist with the hospice referral process for terminally ill patients. We linked the SUPPORT statistical model, widely regarded as one of the most accurate models for prognostication of terminally ill patients, with the recently developed regret based decision curve analysis (regret DCA). We extend the regret DCA methodology to consider harms associated with the prognostication test as well as harms and effects of the management strategies. In order to enable patients and physicians in making these complex decisions in real-time, we developed an easily accessible web-based decision support system available at the point of care. RESULTS: The web-based decision support system facilitates the hospice referral process in three steps. First, the patient or surrogate is interviewed to elicit his/her personal preferences regarding the continuation of life-sustaining treatment vs. palliative care. Then, regret DCA is employed to identify the best strategy for the particular patient in terms of threshold probability at which he/she is indifferent between continuation of treatment and of hospice referral. Finally, if necessary, the probabilities of survival and death for the particular patient are computed based on the SUPPORT prognostication model and contrasted with the patient's threshold probability. The web-based design of the CDSS enables patients, physicians, and family members to participate in the decision process from anywhere internet access is available. CONCLUSIONS: We present a theoretical framework to facilitate the hospice referral process. Further rigorous clinical evaluation including testing in a prospective randomized controlled trial is required and planned. |
format | Online Article Text |
id | pubmed-3305393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33053932012-03-16 Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients Tsalatsanis, Athanasios Barnes, Laura E Hozo, Iztok Djulbegovic, Benjamin BMC Med Inform Decis Mak Research Article BACKGROUND: Despite the well documented advantages of hospice care, most terminally ill patients do not reap the maximum benefit from hospice services, with the majority of them receiving hospice care either prematurely or delayed. Decision systems to improve the hospice referral process are sorely needed. METHODS: We present a novel theoretical framework that is based on well-established methodologies of prognostication and decision analysis to assist with the hospice referral process for terminally ill patients. We linked the SUPPORT statistical model, widely regarded as one of the most accurate models for prognostication of terminally ill patients, with the recently developed regret based decision curve analysis (regret DCA). We extend the regret DCA methodology to consider harms associated with the prognostication test as well as harms and effects of the management strategies. In order to enable patients and physicians in making these complex decisions in real-time, we developed an easily accessible web-based decision support system available at the point of care. RESULTS: The web-based decision support system facilitates the hospice referral process in three steps. First, the patient or surrogate is interviewed to elicit his/her personal preferences regarding the continuation of life-sustaining treatment vs. palliative care. Then, regret DCA is employed to identify the best strategy for the particular patient in terms of threshold probability at which he/she is indifferent between continuation of treatment and of hospice referral. Finally, if necessary, the probabilities of survival and death for the particular patient are computed based on the SUPPORT prognostication model and contrasted with the patient's threshold probability. The web-based design of the CDSS enables patients, physicians, and family members to participate in the decision process from anywhere internet access is available. CONCLUSIONS: We present a theoretical framework to facilitate the hospice referral process. Further rigorous clinical evaluation including testing in a prospective randomized controlled trial is required and planned. BioMed Central 2011-12-23 /pmc/articles/PMC3305393/ /pubmed/22196308 http://dx.doi.org/10.1186/1472-6947-11-77 Text en Copyright ©2011 Tsalatsanis et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tsalatsanis, Athanasios Barnes, Laura E Hozo, Iztok Djulbegovic, Benjamin Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients |
title | Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients |
title_full | Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients |
title_fullStr | Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients |
title_full_unstemmed | Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients |
title_short | Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients |
title_sort | extensions to regret-based decision curve analysis: an application to hospice referral for terminal patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305393/ https://www.ncbi.nlm.nih.gov/pubmed/22196308 http://dx.doi.org/10.1186/1472-6947-11-77 |
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