Data underlying the publication: Attitudes Toward Health, Healthcare, and eHealth of People With a Low Socioeconomic Status: A Community-Based Participatory Approach.
DOI: 10.4121/7a2ca4e2-acca-4585-9d08-85d9f8139896
Dataset
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Geolocation
Time coverage 2019 - 2020
Licence CC0
This data repository contains the research data from the study: Attitudes Toward Health, Healthcare, and eHealth of People With a Low Socioeconomic Status: A Community-Based Participatory Approach. The research was carried out from October 2019 to July 2020.
The research aimed to explore the attitudes of individuals with a low SEP towards health, healthcare, and eHealth. A mixed-method approach was employed, involving initial interviews and analysis using a grounded theory methodology to identify key themes. These themes were further validated and refined through an online questionnaire distributed to a separate sample of participants, followed by three focus groups to contextualize the findings.
Data analysis was performed using Atlas Ti for qualitative data and SPSS for quantitative data. The analysis for the quantitative data involved k-means cluster analysis, ANOVA tests, and a principal component analysis.
The dataset encompasses documents such as data management plans, ethics applications, consent forms, interview guides, and recruitment materials used throughout the study. It also includes qualitative themes derived from focus groups and questionnaires.
Ethical approval for the study was obtained from the Human Research Ethics Committee of the Delft University of Technology (approval numbers: 953, 1064, and 1141).
History
- 2024-03-14 first online, published, posted
Publisher
4TU.ResearchDataFormat
The zip file contains the publication package consisting of data management plans, ethics applications, consent forms, interview guides, and recruitment materials.Associated peer-reviewed publication
Attitudes Toward Health, Healthcare, and eHealth of People With a Low Socioeconomic Status: A Community-Based Participatory ApproachReferences
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 Public Health and Primary Care, Leiden University Medical Centre;
National eHealth Living Lab (NeLL);
Medical Delta;
Department of Rehabilitation Medicine, Erasmus MC;
Capri Hartrevalidatie;
DATA
Files (1)
- 2,197,801 bytesMD5:
537a5aa16c134a20b4fc5699d96235a1
Publication Package.zip