Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery

Author:

Scheenstra Bart12ORCID,Bongers Bart C34,Broeders Britney1,Imkamp Maike5,Van Susante Lieke1,Kietselaer Bas6,Maessen Jos12,Van ’T Hof Arnoud278,Sardari Nia Peyman12

Affiliation:

1. Department of Cardiothoracic Surgery, Heart and Vascular Center, Maastricht University Medical Center , Maastricht, Netherlands

2. Department of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht, Netherlands

3. Department of Nutrition and Movement Sciences, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University , Maastricht, Netherlands

4. Department of Surgery, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University , Maastricht, Netherlands

5. Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center , Maastricht, Netherlands

6. Department of Cardiovascular Disease, Mayo Clinic , Rochester, MN, USA

7. Department of Cardiology, Heart and Vascular Center, Maastricht University Medical Center , Maastricht, Netherlands

8. Department of Cardiology, Zuyderland Medical Center , Heerlen, Netherlands

Abstract

Abstract 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.

Publisher

Oxford University Press (OUP)

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