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Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery
OBJECTIVES: Prehabilitation through a digital platform could preoperatively improve the physical and mental fitness of patients undergoing cardiothoracic surgery, thereby improving treatment outcomes. This study aimed to describe the reasons and predictors of non-participation in a personalized digi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400485/ https://www.ncbi.nlm.nih.gov/pubmed/37486278 http://dx.doi.org/10.1093/icvts/ivad123 |
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author | Scheenstra, Bart Bongers, Bart C Broeders, Britney Imkamp, Maike Van Susante, Lieke Kietselaer, Bas Maessen, Jos Van ’T Hof, Arnoud Sardari Nia, Peyman |
author_facet | Scheenstra, Bart Bongers, Bart C Broeders, Britney Imkamp, Maike Van Susante, Lieke Kietselaer, Bas Maessen, Jos Van ’T Hof, Arnoud Sardari Nia, Peyman |
author_sort | Scheenstra, Bart |
collection | PubMed |
description | OBJECTIVES: Prehabilitation through a digital platform could preoperatively improve the physical and mental fitness of patients undergoing cardiothoracic surgery, thereby improving treatment outcomes. This study aimed to describe the reasons and predictors of non-participation in a personalized digital prehabilitation care trial (Digital Cardiac Counseling randomized controlled trial) for patients undergoing elective cardiothoracic surgery. METHODS: Adult patients scheduled for elective cardiothoracic surgery at the Maastricht University Medical Center+ were approached to participate in a digital prehabilitation care trial, in which patients were informed about their care pathway, monitored for symptom progression and screened for preoperative modifiable risk factors. Baseline characteristics of all eligible patients and reasons of non-participation were registered prospectively. Predictors of non-participation were determined using logistic regression. RESULTS: Between May 2020 and August 2022, 815 patients were eligible for participation; 421 (52%) did not participate in the personalized digital prehabilitation care trial. Reasons for non-participation were ‘lack of internet access or insufficient digital skills’ (32%), ‘wishing no participation’ (39%) and ‘other reasons’ (30%; e.g. vision or hearing impairments, analphabetism, language barriers). Independent predictors of non-participation were age [odds ratio (OR) 1.024 (1.003–1.046), P = 0.024], socioeconomic status [OR 0.267 (0.133–0.536), P < 0.001], current smoker [OR 1.823 (1.124–2.954), P = 0.015] and EuroSCORE II [OR 1.160 (1.042–1.292), P = 0.007]. CONCLUSIONS: Half of the eligible patients did not participate in a personalized digital prehabilitation care trial. Non-participants were vulnerable patients, with a more unfavourable risk profile and more modifiable risk factors, who could potentially benefit the most from prehabilitation. |
format | Online Article Text |
id | pubmed-10400485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-104004852023-08-05 Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery Scheenstra, Bart Bongers, Bart C Broeders, Britney Imkamp, Maike Van Susante, Lieke Kietselaer, Bas Maessen, Jos Van ’T Hof, Arnoud Sardari Nia, Peyman Interdiscip Cardiovasc Thorac Surg General Interest OBJECTIVES: Prehabilitation through a digital platform could preoperatively improve the physical and mental fitness of patients undergoing cardiothoracic surgery, thereby improving treatment outcomes. This study aimed to describe the reasons and predictors of non-participation in a personalized digital prehabilitation care trial (Digital Cardiac Counseling randomized controlled trial) for patients undergoing elective cardiothoracic surgery. METHODS: Adult patients scheduled for elective cardiothoracic surgery at the Maastricht University Medical Center+ were approached to participate in a digital prehabilitation care trial, in which patients were informed about their care pathway, monitored for symptom progression and screened for preoperative modifiable risk factors. Baseline characteristics of all eligible patients and reasons of non-participation were registered prospectively. Predictors of non-participation were determined using logistic regression. RESULTS: Between May 2020 and August 2022, 815 patients were eligible for participation; 421 (52%) did not participate in the personalized digital prehabilitation care trial. Reasons for non-participation were ‘lack of internet access or insufficient digital skills’ (32%), ‘wishing no participation’ (39%) and ‘other reasons’ (30%; e.g. vision or hearing impairments, analphabetism, language barriers). Independent predictors of non-participation were age [odds ratio (OR) 1.024 (1.003–1.046), P = 0.024], socioeconomic status [OR 0.267 (0.133–0.536), P < 0.001], current smoker [OR 1.823 (1.124–2.954), P = 0.015] and EuroSCORE II [OR 1.160 (1.042–1.292), P = 0.007]. CONCLUSIONS: Half of the eligible patients did not participate in a personalized digital prehabilitation care trial. Non-participants were vulnerable patients, with a more unfavourable risk profile and more modifiable risk factors, who could potentially benefit the most from prehabilitation. Oxford University Press 2023-07-24 /pmc/articles/PMC10400485/ /pubmed/37486278 http://dx.doi.org/10.1093/icvts/ivad123 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | General Interest Scheenstra, Bart Bongers, Bart C Broeders, Britney Imkamp, Maike Van Susante, Lieke Kietselaer, Bas Maessen, Jos Van ’T Hof, Arnoud Sardari Nia, Peyman Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery |
title | Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery |
title_full | Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery |
title_fullStr | Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery |
title_full_unstemmed | Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery |
title_short | Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery |
title_sort | reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery |
topic | General Interest |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400485/ https://www.ncbi.nlm.nih.gov/pubmed/37486278 http://dx.doi.org/10.1093/icvts/ivad123 |
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