Data underlying the publication: Attitudes Toward Health, Healthcare, and eHealth of People With a Low Socioeconomic Status: A Community-Based Participatory Approach.

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.<br>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.<br>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.<br>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). <br>

本数据集仓库收录了一项研究的科研数据，该研究主题为《低社会经济地位（Socioeconomic Status, SEP）人群对健康、医疗保健与电子健康的态度：基于社区参与式研究方法》。该研究于2019年10月至2020年7月开展。
本研究旨在探究低社会经济地位（SEP）群体对健康、医疗保健及电子健康的态度。研究采用混合研究方法，首先开展初始访谈并运用扎根理论方法论进行分析，以提炼核心研究主题；随后面向独立招募的参与者样本发放线上问卷，对上述主题进行验证与细化，后续又通过三场焦点小组访谈明确研究发现的具体情境。
定性数据分析采用Atlas Ti软件完成，定量数据分析则依托SPSS软件执行；定量分析环节涵盖K-means聚类分析、方差分析（ANOVA）以及主成分分析。
本数据集涵盖研究全程使用的各类文档，包括数据管理计划、伦理审查申请材料、知情同意书、访谈提纲以及招募物料；同时收录了来自焦点小组与问卷调研所得的定性主题内容。
本研究已获得代尔夫特理工大学人类研究伦理委员会的伦理批准，批准编号分别为953、1064与1141。