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Toward Designing for Social Connectedness in Cardiovascular Disease Self-Care

Published: 21 September 2023 Publication History

Abstract

When people with chronic conditions are confronted with gaps in their understanding of their health status, they turn to their peers to make sense of their own situation. And yet, little is known about how to design to facilitate locating others in similar situations. Sharing personal health information with their peers is a strategy the sense-maker employs in constructing a new normal after health-related life disruptions. Even so, research on how to design digital health technology that leverages information-sharing behavior is lacking. This paper elaborates on a peer data-sharing model to inform digital health technology design. Based on this model, we herein propose a prototype that promotes social connectedness in cardiovascular disease self-care as a means to advance our understanding of how we might design to facilitate locating peers and gaining new insights into self-care from them.

References

[1]
Adrian Bussone, Bakita Kasadha, Simone Stumpf, Abigail C. Durrant, Shema Tariq, Jo Gibbs, Karen C. Lloyd, and Jon Bird. 2020. Trust, identity, privacy, and security considerations for designing a peer data sharing platform between people living with HIV. Proc. ACM Hum.-Comput. Interact. 4, CSCW2 (2020), 1–27.
[2]
Jhon Adrián Cerón-Guzmán, Daniel Tetteroo, Jun Hu, and Panos Markopoulos. 2022. “Not Sure Sharing Does Anything Extra for Me”: Understanding How People with Cardiovascular Disease Conceptualize Sharing Personal Health Data with Peers. International Journal of Environmental Research and Public Health 19, 15 (2022), 9508.
[3]
Robin De Croon, Leen Van Houdt, Nyi Nyi Htun, Gregor Štiglic, Vero Vanden Abeele, Katrien Verbert, 2021. Health recommender systems: systematic review. Journal of Medical Internet Research 23, 6 (2021), e18035.
[4]
Shelagh K Genuis and Jenny Bronstein. 2017. Looking for “normal”: Sense making in the context of health disruption. Journal of the Association for Information Science and Technology 68, 3 (2017), 750–761.
[5]
Chen He, Denis Parra, and Katrien Verbert. 2016. Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities. Expert Systems with Applications 56 (2016), 9–27.
[6]
Mengqi Liao, S Shyam Sundar, and Joseph B. Walther. 2022. User Trust in Recommendation Systems: A comparison of Content-Based, Collaborative and Demographic Filtering. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems(CHI ’22). Association for Computing Machinery, New York, NY, USA, 1–14.
[7]
Aisling Ann O’Kane, Sun Young Park, Helena Mentis, Ann Blandford, and Yunan Chen. 2016. Turning to peers: integrating understanding of the self, the condition, and others’ experiences in making sense of complex chronic conditions. Computer Supported Cooperative Work (CSCW) 25, 6 (2016), 477–501.
[8]
Barbara Riegel, Debra K Moser, Harleah G Buck, Victoria Vaughan Dickson, Sandra B Dunbar, Christopher S Lee, Terry A Lennie, JoAnn Lindenfeld, Judith E Mitchell, Diane J Treat-Jacobson, 2017. Self-care for the prevention and management of cardiovascular disease and stroke: A scientific statement for healthcare professionals from the American Heart Association. Journal of the American Heart Association 6, 9 (2017), e006997.
[9]
Emma Simpson, Richard Brown, Elizabeth Sillence, Lynne Coventry, Karen Lloyd, Jo Gibbs, Shema Tariq, and Abigail C Durrant. 2021. Understanding the barriers and facilitators to sharing patient-generated health data using digital technology for people living with long-term health conditions: A narrative review. Frontiers in Public Health 9 (2021).
[10]
Nava Tintarev and Judith Masthoff. 2015. Explaining recommendations: Design and evaluation. In Recommender Systems Handbook, Francesco Ricci, Lior Rokach, and Bracha Shapira (Eds.). Springer US, Boston, MA, 353–382.
[11]
Sarah E Vaala, Joyce M Lee, Korey K Hood, and Shelagh A Mulvaney. 2017. Sharing and helping: predictors of adolescents’ willingness to share diabetes personal health information with peers. Journal of the American Medical Informatics Association 25, 2 (2017), 135–141.
[12]
Xing Zhang, Shan Liu, Xing Chen, Lin Wang, Baojun Gao, and Qing Zhu. 2018. Health information privacy concerns, antecedents, and information disclosure intention in online health communities. Information & Management 55, 4 (2018), 482–493.

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Published In

cover image ACM Other conferences
ECCE '23: Proceedings of the European Conference on Cognitive Ergonomics 2023
September 2023
189 pages
ISBN:9798400708756
DOI:10.1145/3605655
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2023

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Author Tags

  1. data sharing
  2. peer recommendations
  3. personal health data

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  • Work in progress
  • Research
  • Refereed limited

Funding Sources

  • Eindhoven Engine BV
  • Dutch Research Council (NWO)

Conference

ECCE 2023
ECCE 2023: European Conference in Cognitive Ergonomics
September 19 - 22, 2023
Swansea, United Kingdom

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Overall Acceptance Rate 56 of 91 submissions, 62%

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