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 proceedingConference contributionAcademicpeer-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 languageEnglish
Title of host publicationUbiComp/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
PublisherAssociation for Computing Machinery, Inc
Pages139-142
Number of pages4
ISBN (Electronic)9781450380768
DOIs
Publication statusPublished - 10 Sep 2020
Event2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020 - Virtual, Online, Mexico
Duration: 12 Sep 202017 Sep 2020

Conference

Conference2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020
CountryMexico
CityVirtual, Online
Period12/09/2017/09/20

Keywords

  • data-enabled design
  • medication non-adherence
  • sensors

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