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ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events
Introduction: Discharge from the hospital to a post-acute care setting can be complex and potentially dangerous, with opportunities for errors and lapses in communication between providers. Data collected through the Extension for Community Health Outcomes-Care Transitions (ECHO-CT) model were used...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740179/ http://dx.doi.org/10.1093/geroni/igaa057.254 |
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author | Gonzalez, Mariana Junge-maughan, Lauren Lipsitz, Lewis Moore, Amber |
author_facet | Gonzalez, Mariana Junge-maughan, Lauren Lipsitz, Lewis Moore, Amber |
author_sort | Gonzalez, Mariana |
collection | PubMed |
description | Introduction: Discharge from the hospital to a post-acute care setting can be complex and potentially dangerous, with opportunities for errors and lapses in communication between providers. Data collected through the Extension for Community Health Outcomes-Care Transitions (ECHO-CT) model were used to identify and classify transitional care events (TCEs.) Methods: The ECHO-CT model employs multidisciplinary teleconferences between a hospital-based team and providers in post-acute settings; during this conference, concerns arising in the patient’s care transition were identified and recorded. Results: 675 patients were discussed during interdisciplinary videoconferences. A total of 139 TCEs were identified; 52 (37.4%) were classified as medication issues, and 58 (41.7%) involved discharge communication or coordination errors. Conclusions: These identified TCEs highlight areas in which providers can work to reduce issues arising in the course of discharge to post-acute facilities. Standardized processes to identify, record, and report transition of care events are necessary to provide high-quality, safe care for patients as they move across care settings. |
format | Online Article Text |
id | pubmed-7740179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77401792020-12-21 ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events Gonzalez, Mariana Junge-maughan, Lauren Lipsitz, Lewis Moore, Amber Innov Aging Abstracts Introduction: Discharge from the hospital to a post-acute care setting can be complex and potentially dangerous, with opportunities for errors and lapses in communication between providers. Data collected through the Extension for Community Health Outcomes-Care Transitions (ECHO-CT) model were used to identify and classify transitional care events (TCEs.) Methods: The ECHO-CT model employs multidisciplinary teleconferences between a hospital-based team and providers in post-acute settings; during this conference, concerns arising in the patient’s care transition were identified and recorded. Results: 675 patients were discussed during interdisciplinary videoconferences. A total of 139 TCEs were identified; 52 (37.4%) were classified as medication issues, and 58 (41.7%) involved discharge communication or coordination errors. Conclusions: These identified TCEs highlight areas in which providers can work to reduce issues arising in the course of discharge to post-acute facilities. Standardized processes to identify, record, and report transition of care events are necessary to provide high-quality, safe care for patients as they move across care settings. Oxford University Press 2020-12-16 /pmc/articles/PMC7740179/ http://dx.doi.org/10.1093/geroni/igaa057.254 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Gonzalez, Mariana Junge-maughan, Lauren Lipsitz, Lewis Moore, Amber ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events |
title | ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events |
title_full | ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events |
title_fullStr | ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events |
title_full_unstemmed | ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events |
title_short | ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events |
title_sort | echo-ct: an interdisciplinary video-conference model for identifying post-discharge transition-of-care events |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740179/ http://dx.doi.org/10.1093/geroni/igaa057.254 |
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