Understanding routines around medicine intake through a data-enabled design approach

Roy van den Heuvel; Emma Driesse; Minne Dekker; Mihnea Calota

doi:10.1145/3410530.3414408

Understanding routines around medicine intake through a data-enabled design approach

Roy van den Heuvel, Emma Driesse, Minne Dekker, Mihnea Calota

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

Abstract

Adhering to the prescribed medication schedule is one of the crucial steps that lead to successful recovery or treatment for chronic diseases. However, more than 50% of prescription medicine is not taken as instructed. Existing interventions that focus on reminders often lack detailed insights into people's daily intake routines. Ubiquitous sensor systems in combination with qualitative data can facilitate detailed insights into medication routines. We draw on the Data-Enabled Design framework to gain a better understanding of behaviors around medicine intake. This study implements the contextual step by collecting data with a sensor module as an attachment to an existing pillbox. The resulting data is then discussed with the participant to reveal novel insights into medication non-adherence. We show the first promising results from a one-week user-test with one participant and discuss the next steps in the Data-Enabled Design process.

Original language	English
Title of host publication	UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
Publisher	Association for Computing Machinery, Inc
Pages	139-142
Number of pages	4
ISBN (Electronic)	9781450380768
DOIs	https://doi.org/10.1145/3410530.3414408
Publication status	Published - 10 Sep 2020
Event	24th International Symposium on Wearable Computers, ISWC 2020 - Virtual, Online, Mexico Duration: 12 Sep 2020 → 17 Sep 2020 Conference number: 24

Conference

Conference	24th International Symposium on Wearable Computers, ISWC 2020
Abbreviated title	ISWC 2020
Country/Territory	Mexico
City	Virtual, Online
Period	12/09/20 → 17/09/20
Other	2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020

Keywords

data-enabled design
medication non-adherence
sensors

Access to Document

10.1145/3410530.3414408

Cite this

van den Heuvel, R., Driesse, E., Dekker, M., & Calota, M. (2020). Understanding routines around medicine intake through a data-enabled design approach. In UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (pp. 139-142). Association for Computing Machinery, Inc. https://doi.org/10.1145/3410530.3414408

van den Heuvel, Roy ; Driesse, Emma ; Dekker, Minne et al. / Understanding routines around medicine intake through a data-enabled design approach. UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2020. pp. 139-142

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title = "Understanding routines around medicine intake through a data-enabled design approach",

abstract = "Adhering to the prescribed medication schedule is one of the crucial steps that lead to successful recovery or treatment for chronic diseases. However, more than 50% of prescription medicine is not taken as instructed. Existing interventions that focus on reminders often lack detailed insights into people's daily intake routines. Ubiquitous sensor systems in combination with qualitative data can facilitate detailed insights into medication routines. We draw on the Data-Enabled Design framework to gain a better understanding of behaviors around medicine intake. This study implements the contextual step by collecting data with a sensor module as an attachment to an existing pillbox. The resulting data is then discussed with the participant to reveal novel insights into medication non-adherence. We show the first promising results from a one-week user-test with one participant and discuss the next steps in the Data-Enabled Design process.",

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address = "United States",

note = "24th International Symposium on Wearable Computers, ISWC 2020, ISWC 2020 ; Conference date: 12-09-2020 Through 17-09-2020",

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van den Heuvel, R, Driesse, E, Dekker, M & Calota, M 2020, Understanding routines around medicine intake through a data-enabled design approach. in UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, pp. 139-142, 24th International Symposium on Wearable Computers, ISWC 2020, Virtual, Online, Mexico, 12/09/20. https://doi.org/10.1145/3410530.3414408

Understanding routines around medicine intake through a data-enabled design approach. / van den Heuvel, Roy; Driesse, Emma; Dekker, Minne et al.

UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2020. p. 139-142.

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

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van den Heuvel R, Driesse E, Dekker M, Calota M. Understanding routines around medicine intake through a data-enabled design approach. In UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc. 2020. p. 139-142 https://doi.org/10.1145/3410530.3414408

Understanding routines around medicine intake through a data-enabled design approach

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