2 Attitudes toward health, healthcare, and eHealth of people with a low socioeconomic position 45 significant relation to poor health outcomes (e.g., availability of healthy food, experiences of discrimination, and neighborhood poverty) (Schüz, 2017; Winkleby & Cubbin, 2003). Another factor that could impact the generalizability is the context of the community center. According to an earlier report of another community center near Rotterdam, 36% of the visitors were unemployed (Werter & Koot, 2017). This percentage is significantly higher than the neighborhood in general (9,4%) and Rotterdam (7%) (IDEM Rotterdam, 2017). Since our participants had the motivation to visit the community center, they could also have been more motivated to perform healthy behavior. Finally, it should be taken into account that this study has taken place in an urban context with sufficient governmental support, developed infrastructure, and social support. Therefore, the results are not directly applicable to countries that do not have these facilities. While the results themselves might not be directly generalizable to other low-SEP populations, they provide a deep and contextualized understanding of a sample of the target group that can be applied in the design of eHealth interventions. According to (Crouch & McKenzie, 2006), such research inquiries in naturalistic settings often seek to discover social insights that extend beyond initial observations. This requires the researcher to be immersed in the research field, establish continuing fruitful relationships with respondents and through theoretical contemplation to address the research problem in depth. A small number of cases will facilitate the researcher’s close association with the respondent. A review of CBPR approaches in the health domain confirms this statement as it reports sample sizes of roughly the same order of magnitude (Coughlin & Smith, 2016). Future research could be aimed at generalizing the results (e.g., profile characteristics) in larger-scale sample sizes. Finally, the concepts identified in this research are, although informed by supporting themes in literature, data driven and not a priori based on a specific theory or model. Hence, they provide a deeper layer and a supplementary perspective to existing knowledge. Nevertheless, researchers should act with discretion when interpreting the resulting insights using existing theory. 2.5 Conclusion To develop successful eHealth interventions that support people with a low SEP in achieving a healthy lifestyle, it is crucial to consider their attitude toward this technology and their health and healthcare in general. This study explored attitudes of people living in a low-SEP neighborhood toward their health, healthcare, and eHealth using a community-based participatory research approach. This unique approach helped us discover novel and bottom-up insights that strengthen our current understanding of these attitudes. This understanding allows researchers and designers to have a more nuanced
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