Turning Points: Motivating Intergenerational Families to Engage on Sustainable Health Information Sharing

Jomara Sandbulte, Jordan Beck, Eun Kyoung Choe, John Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Family relationships present a space for provision of support in which the members reciprocate and help one another at times of necessity. Yet, family members face obstacles in providing support to one another because they are unaware that it is needed. In this study, we investigated different motivating factors that influence family member’s decision to share (or not share) health information. We conducted focus group discussions with independent living elderly parents (n = 16) and adult children (n = 21). We learned that the change of family member’s sharing behaviors was often due to a disruptive moment which we refer to here as “turning point.” Based on the concept of “turning points”, we discuss how those moments could promote sustainable health information sharing within families and are useful tools for designing technology to support family collaboration on health.

Original languageEnglish (US)
Title of host publicationInformation in Contemporary Society - 14th International Conference, iConference 2019, Proceedings
EditorsBonnie Nardi, Natalie Greene Taylor, Caitlin Christian-Lamb, Michelle H. Martin
PublisherSpringer Verlag
Pages741-753
Number of pages13
ISBN (Print)9783030157418
DOIs
StatePublished - Jan 1 2019
Event14th International Conference on Information in Contemporary Society, iConference 2019 - Washington, United States
Duration: Mar 31 2019Apr 3 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11420 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Information in Contemporary Society, iConference 2019
CountryUnited States
CityWashington
Period3/31/194/3/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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