Making space for the quality care : Opportunities for technology in cognitive behavioral therapy for Insomnia

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

13 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationCHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages5773-5786
Number of pages14
ISBN (electronic)9781450346559
Publication statusPublished - May 2017
Externally publishedYes

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Title2017 ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2017)
PlaceUnited States
CityDenver
Period6 - 11 May 2017

Abstract

Insomnia can drastically affect individuals' overall well-being and work performance, with substantial costs to society and industry. Cognitive behavioral therapy for insomnia (CBT-I) is a psychotherapeutic treatment, which requires patients to track sleep and share the data with CBT-I clinicians. However, the number of specialists who can provide CBT-I limits the number of patients who can receive it. In this paper, we aim to identify opportunities to leverage technology to assist clinicians in delivering quality and effective CBT-I services to broader populations. Toward this goal, we conducted formative studies, including 11 CBT-I clinic observations and 17 semi-structured interviews, to understand the current workflow of CBT-I and associated challenges. We discuss how technology can assist clinicians and patients throughout the various steps of CBT-I workflow while addressing some of the identified challenges, and more broadly, how technology can make space for clinicians and patients to build quality therapeutic relationships.

Research Area(s)

  • Clinical workflow, Cognitive behavioral therapy for insomnia (CBT-I), Interview, Observation, Patient engagement, Patient-generated data, Self-monitoring data

Citation Format(s)

Making space for the quality care: Opportunities for technology in cognitive behavioral therapy for Insomnia. / Zhu, Haining; Luo, Yuhan; Choe, Eun Kyoung.
CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. p. 5773-5786 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review