Data underlying the manuscript: An eHealth intervention to support patients with a low socioeconomic position during their waiting period preceding cardiac rehabilitation: a randomised controlled feasibility study.

doi: 10.4121/c7e2a63a-9699-4d7c-9cbb-9ac443400033.v4
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/c7e2a63a-9699-4d7c-9cbb-9ac443400033
Datacite citation style:
Faber, Jasper; Jos Kraal; ter Hoeve, Nienke; Al-Dhahir, Isra; Breeman, Linda et. al. (2024): Data underlying the manuscript: An eHealth intervention to support patients with a low socioeconomic position during their waiting period preceding cardiac rehabilitation: a randomised controlled feasibility study. Version 4. 4TU.ResearchData. dataset. https://doi.org/10.4121/c7e2a63a-9699-4d7c-9cbb-9ac443400033.v4
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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version 4 - 2024-05-03 (latest)
version 3 - 2024-04-05 version 2 - 2024-03-18 version 1 - 2024-03-14
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time coverage
2023
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This data repository contains the research materials from the study: An eHealth intervention to support patients with a low socioeconomic position during their waiting period preceding cardiac rehabilitation: a randomised controlled feasibility study. The research was carried out between February 2023 and September 2023.


This study employed a mixed methods randomized controlled feasibility approach, targeting low SEP patients eligible for CR, dividing them into an intervention group, which received an eHealth intervention, and a control group, which underwent the standard waiting period. The study assessed feasibility through adherence (using usage metrics) and acceptance (using a modified USE questionnaire), along with the intervention's effect on participants' certainty and guidance through a self-designed CGQ, complemented by semi-structured interviews for qualitative insights. Non-parametric statistical. The CGQ's effect analysis involved Wilcoxon rank-sum, Mann-Whitney U, and Spearman's rank correlation tests. The ATLAS.ti software was used for qualitative analysis.

The dataset includes the study protocol, participant consent forms, questionnaires for research data collection, and an interview guide. Privacy-sensitive information have been excluded for confidentiality but can be provided upon reasonable request.


The study is registered at ClinicalTrials.gov (NCT05698121) and received ethical approval from the Medisch Ethische Toetsings Commissie of the Erasmus Medical Centre (approval number MEC-2022-0483).

history
  • 2024-03-14 first online
  • 2024-05-03 published, posted
publisher
4TU.ResearchData
format
The zip file contains the publication package consisting of protocols, consent forms, questionnaires, and interview guides
funding
  • Medical Delta - eHealth and self-management program
organizations
Faculty of Industrial Design Engineering, Delft University of Technology;
Faculty of Social and Behavioral Sciences, Leiden University;
Department of Rehabilitation Medicine, Erasmus MC;
Capri Hartrevalidatie;
Department of Public Health and Primary Care, Leiden University Medical Centre;
National eHealth Living Lab (NeLL);
Medical Delta;

DATA

files (1)