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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...

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Autores principales: Scheenstra, Bart, Bongers, Bart C, Broeders, Britney, Imkamp, Maike, Van Susante, Lieke, Kietselaer, Bas, Maessen, Jos, Van ’T Hof, Arnoud, Sardari Nia, Peyman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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.
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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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