Managing multimorbidity: Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions

Julie Doyle; Emma Murphy; Janneke Kuiper; Suzanne Smith; Caoimhe Hannigan; An Jacobs; John Dinsmore

doi:10.1145/3290605.3300629

Managing multimorbidity: Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions

Julie Doyle
, Emma Murphy
, Janneke Kuiper
, Suzanne Smith
, Caoimhe Hannigan
, An Jacobs
, John Dinsmore

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery (ACM)
ISBN (Electronic)	9781450359702
DOIs	https://doi.org/10.1145/3290605.3300629
Publication status	Published - 2 May 2019
Event	2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 9/05/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Digital health
Multimorbidity
Older adults
Self-management

Access to Document

10.1145/3290605.3300629Licence: CC BY-NC-SA

Cite this

Doyle, J., Murphy, E., Kuiper, J., Smith, S., Hannigan, C., Jacobs, A., & Dinsmore, J. (2019). Managing multimorbidity: Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery (ACM). https://doi.org/10.1145/3290605.3300629

Doyle, Julie ; Murphy, Emma ; Kuiper, Janneke et al. / Managing multimorbidity : Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions. CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2019. (Conference on Human Factors in Computing Systems - Proceedings).

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title = "Managing multimorbidity: Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions",

abstract = "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.",

keywords = "Digital health, Multimorbidity, Older adults, Self-management",

author = "Julie Doyle and Emma Murphy and Janneke Kuiper and Suzanne Smith and Caoimhe Hannigan and An Jacobs and John Dinsmore",

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year = "2019",

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doi = "10.1145/3290605.3300629",

language = "English",

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Doyle, J, Murphy, E, Kuiper, J, Smith, S, Hannigan, C, Jacobs, A & Dinsmore, J 2019, Managing multimorbidity: Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions. in CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery (ACM), 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290605.3300629

Managing multimorbidity: Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions. / Doyle, Julie; Murphy, Emma; Kuiper, Janneke et al.
CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2019. (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

PY - 2019/5/2

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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.

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Doyle J, Murphy E, Kuiper J, Smith S, Hannigan C, Jacobs A et al. Managing multimorbidity: Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM). 2019. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3290605.3300629

Managing multimorbidity: Identifying design requirements for a digital self-management tool to support older adults with multiple chronic conditions

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this