Evidence map›Paper›PMID 37486278›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2023

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

Bart Scheenstra, Bart C Bongers, Britney Broeders, Maike Imkamp, Lieke Van Susante, Bas Kietselaer, Jos Maessen, Arnoud Van 't Hof, Peyman Sardari Nia

Open access · diamondAbstract read
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. The Long-Term Impact of a Teleprehabilitation Programme on Modifiable Risk Factors and Quality of Life After Cardiac Surgery.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Bart ScheenstraDepartment of Cardiothoracic Surgery, Heart and Vascular Center, Maastricht University Medical Center, Maastricht, Netherlands.ORCID 0000-0001-5778-2574
Bart C BongersDepartment of Nutrition and Movement Sciences, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, Netherlands.
Britney BroedersDepartment of Cardiothoracic Surgery, Heart and Vascular Center, Maastricht University Medical Center, Maastricht, Netherlands.
Maike ImkampDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, Netherlands.
Lieke Van SusanteDepartment of Cardiothoracic Surgery, Heart and Vascular Center, Maastricht University Medical Center, Maastricht, Netherlands.
Bas KietselaerDepartment of Cardiovascular Disease, Mayo Clinic, Rochester, MN, USA.
Jos MaessenDepartment of Cardiothoracic Surgery, Heart and Vascular Center, Maastricht University Medical Center, Maastricht, Netherlands.
Arnoud Van 't HofDepartment of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, Netherlands.
Peyman Sardari NiaDepartment of Cardiothoracic Surgery, Heart and Vascular Center, Maastricht University Medical Center, Maastricht, Netherlands.
Maastricht University · NLMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrehabilitation 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.

methodsAdult 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.

resultsBetween 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].

conclusionsHalf 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.

Indexed as

Cardiothoracic surgeryCare pathwayPreoperative careTelemonitoringTeleprehabilitation

Identifiers

PMID37486278
PMCPMC10400485
OpenAlexW4385185821

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.