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Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform
Understanding postoperative recovery is critical for guiding efforts to improve post-acute phase care. How recovery evolves during the first 30 days after cardiac surgery is not well-understood. A digital platform may enable granular quantification of recovery by frequently capturing patient-reporte...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789027/ https://www.ncbi.nlm.nih.gov/pubmed/36564550 http://dx.doi.org/10.1038/s41746-022-00736-0 |
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author | Mori, Makoto Dhruva, Sanket S. Geirsson, Arnar Krumholz, Harlan M. |
author_facet | Mori, Makoto Dhruva, Sanket S. Geirsson, Arnar Krumholz, Harlan M. |
author_sort | Mori, Makoto |
collection | PubMed |
description | Understanding postoperative recovery is critical for guiding efforts to improve post-acute phase care. How recovery evolves during the first 30 days after cardiac surgery is not well-understood. A digital platform may enable granular quantification of recovery by frequently capturing patient-reported outcome measures (PROM) that can be clinically implemented to support recovery. We conduct a prospective cohort study using a digital platform to measure recovery after cardiac surgery using a PROM sent every 3 days for 30 days after surgery to characterize recovery in multiple domains (e.g., pain, sleep, activities of daily living, anxiety) and to identify factors related to the patient’s perception of overall recovery. We enroll patients who underwent cardiac surgery at a tertiary center between January 2019 and March 2020 and automatically deliver PROMs and reminders electronically. Of the 10 surveys delivered per patient, 8 (IQR 6–10) are completed. Patients who experienced postoperative complications more commonly belong to the worst overall recovery trajectory. Of the 12 domains modeled, only the worst anxiety trajectory is associated with the worse overall recovery trajectory membership, suggesting that even when patients struggle in the recovery of other domains, the patient may still feel progress in their recovery. We demonstrate that using a digital platform, automated PROM data collection, and characterization of multi-domain recovery trajectories is feasible and likely implementable in clinical practice. Overall recovery may be impacted by complications, while slow progress in constituent domains may still allow for the perception of overall recovery progression. |
format | Online Article Text |
id | pubmed-9789027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97890272022-12-25 Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform Mori, Makoto Dhruva, Sanket S. Geirsson, Arnar Krumholz, Harlan M. NPJ Digit Med Article Understanding postoperative recovery is critical for guiding efforts to improve post-acute phase care. How recovery evolves during the first 30 days after cardiac surgery is not well-understood. A digital platform may enable granular quantification of recovery by frequently capturing patient-reported outcome measures (PROM) that can be clinically implemented to support recovery. We conduct a prospective cohort study using a digital platform to measure recovery after cardiac surgery using a PROM sent every 3 days for 30 days after surgery to characterize recovery in multiple domains (e.g., pain, sleep, activities of daily living, anxiety) and to identify factors related to the patient’s perception of overall recovery. We enroll patients who underwent cardiac surgery at a tertiary center between January 2019 and March 2020 and automatically deliver PROMs and reminders electronically. Of the 10 surveys delivered per patient, 8 (IQR 6–10) are completed. Patients who experienced postoperative complications more commonly belong to the worst overall recovery trajectory. Of the 12 domains modeled, only the worst anxiety trajectory is associated with the worse overall recovery trajectory membership, suggesting that even when patients struggle in the recovery of other domains, the patient may still feel progress in their recovery. We demonstrate that using a digital platform, automated PROM data collection, and characterization of multi-domain recovery trajectories is feasible and likely implementable in clinical practice. Overall recovery may be impacted by complications, while slow progress in constituent domains may still allow for the perception of overall recovery progression. Nature Publishing Group UK 2022-12-24 /pmc/articles/PMC9789027/ /pubmed/36564550 http://dx.doi.org/10.1038/s41746-022-00736-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mori, Makoto Dhruva, Sanket S. Geirsson, Arnar Krumholz, Harlan M. Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform |
title | Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform |
title_full | Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform |
title_fullStr | Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform |
title_full_unstemmed | Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform |
title_short | Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform |
title_sort | characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789027/ https://www.ncbi.nlm.nih.gov/pubmed/36564550 http://dx.doi.org/10.1038/s41746-022-00736-0 |
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