Evidence map›Paper›PMID 37069506›Full record

ArticleBMC cardiovascular disorders2023

Adherence to a lifestyle monitoring system in patients with heart disease: protocol for the care-on prospective observational trial.

W F Goevaerts, N C C W Tenbült-van Limpt, W J Kop, M V Birk, Y Liu, R W M Brouwers, Y Lu, H M C Kemps

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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  5. Review
  6. Review
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

8 authors at 4 institutions in 1 country.

W F GoevaertsIndustrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands. w.f.goevaerts@tue.nl.
N C C W Tenbült-van LimptIndustrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.
W J KopDepartment of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases, Tilburg University, Tilburg, the Netherlands.
M V BirkIndustrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.
Y LiuIndustrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.
R W M BrouwersIndustrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.
Y LuIndustrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.
H M C KempsIndustrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.
Eindhoven University of Technology · NLRadboud University Nijmegen · NLMáxima Medisch Centrum · NLTilburg University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLifestyle factors such as physical fitness, dietary habits, mental stress, and sleep quality, are strong predictors of the occurrence, clinical course, and overall treatment outcomes of common cardiovascular diseases. However, these lifestyle factors are rarely monitored, nor used in daily clinical practice and personalized cardiac care. Moreover, non-adherence to long-term self-reporting of these lifestyle factors is common. In the present study, we evaluate adherence to a continuous unobtrusive and patient-friendly lifestyle monitoring system using evidence-based assessment tools.

methodsIn a prospective observational trial (N = 100), the project investigates usability of and adherence to a monitoring system for multiple lifestyle factors relevant to cardiovascular disease, i.e., daily physical activity levels, dietary habits, mental stress, smoking, and sleep quality. Patients with coronary artery disease, valvular disease and arrhythmias undergoing an elective intervention are asked to participate. The monitoring system consists of a secured online platform with a custom-built conversational interface-a chatbot-and a wrist-worn wearable medical device. The wrist-worn device collects continuous objective data on physical activity and the chatbot is used to collect self-report data. Participants collect self-reported lifestyle data via the chatbot for a maximum of 4 days every other week; in the same week physiological data are collected for 7 days for 24 h. Data collection starts one week before the intervention and continues until 1-year after discharge. Via a dashboard, patients can observe their lifestyle measures and adherence to self-reporting, set and track personal goals, and share their lifestyle data with practitioners and relatives. The primary outcome of the trial is adherence to using the integrated platform for self-tracking data. The secondary outcomes include system usability, determinants of adherence and the relation between baseline lifestyle behaviour and long-term patient-relevant outcomes. DISCUSSION: Systematic monitoring during daily life is essential to gain insights into patients' lifestyle behaviour. In this context, adherence to monitoring systems is critical for cardiologists and other care providers to monitor recovery after a cardiac intervention and to detect clinical deterioration. With this project, we will evaluate patients' adherence to lifestyle monitoring technology. This work contributes to the understanding of patient-centered data collection and interpretation, to enable personalized care after cardiac interventions in order to ultimately improve patient-relevant outcomes and reduce health care costs.

trial registrationNetherlands Trial Registry (NTR) NL9861. Registered 6th of November 2021.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseHeart DiseasesArrhythmias, CardiacExerciseHumansLife StyleObservational Studies as TopicPatient ComplianceAcceptanceAdherenceCardiac rehabilitationContinuous monitoringDietary behavior managementLifestylePhysical activitySleep monitoringStress managementUsability

Identifiers

PMID37069506
PMCPMC10111807
OpenAlexW4366163373

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.