TY - GEN
T1 - Managing multimorbidity
T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
AU - Doyle, Julie
AU - Murphy, Emma
AU - Kuiper, Janneke
AU - Smith, Suzanne
AU - Hannigan, Caoimhe
AU - Jacobs, An
AU - Dinsmore, John
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/5/2
Y1 - 2019/5/2
N2 - Older adults with multiple chronic conditions (multimorbidity) face complex self-management routines, including symptom monitoring, managing multiple medications, coordinating healthcare visits, communicating with multiple healthcare providers and processing and managing potentially conflicting advice on conditions. While much research exists on single disease management, little, if any research has explored the topic of technology to support those with multimorbidity, particularly older adults, to self-manage with support from a care network. This paper describes a large qualitative study with 125 participants, including older adults with multimorbidity and those who care for them, across two European countries. Key findings related to the: impact of multimorbidity, complexities involved in self-management, motivators and barriers to self-management, sources of support and poor communication as a barrier to care coordination. We present important concepts and design features for a digital health system that aim to address requirements derived from this study.
AB - Older adults with multiple chronic conditions (multimorbidity) face complex self-management routines, including symptom monitoring, managing multiple medications, coordinating healthcare visits, communicating with multiple healthcare providers and processing and managing potentially conflicting advice on conditions. While much research exists on single disease management, little, if any research has explored the topic of technology to support those with multimorbidity, particularly older adults, to self-manage with support from a care network. This paper describes a large qualitative study with 125 participants, including older adults with multimorbidity and those who care for them, across two European countries. Key findings related to the: impact of multimorbidity, complexities involved in self-management, motivators and barriers to self-management, sources of support and poor communication as a barrier to care coordination. We present important concepts and design features for a digital health system that aim to address requirements derived from this study.
KW - Digital health
KW - Multimorbidity
KW - Older adults
KW - Self-management
UR - https://www.scopus.com/pages/publications/85067603916
U2 - 10.1145/3290605.3300629
DO - 10.1145/3290605.3300629
M3 - Conference contribution
AN - SCOPUS:85067603916
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery (ACM)
Y2 - 4 May 2019 through 9 May 2019
ER -
