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From Promoting Dignity to Installing Distrust: Understanding the Role of Continence Care Technology in Nursing Homes

Published: 26 October 2020 Publication History

Abstract

Managing continence in nursing homes comprises a large economic and emotional factor, not only in residents’ Quality of Life but also in staffs’ Quality of Care. Notwithstanding increased engineering efforts in this area, nursing home continence care remains underexplored in HCI. To lay the groundwork for the technological design of human-centered continence care, we conducted a qualitative study involving 27 stakeholders—ranging from residents, relatives, caregivers and nurses to managers. By inductively analysing our data, we identified different perspectives on incontinence and surrounding care practices. We found continence care to be intricately interwoven within a complex ecosystem that is deeply rooted in an ideal of promoting dignity, which technological infrastructures might fall at risk of introducing miscommunication and installing distrust between stakeholders. Using the Dignity in Continence Care Framework, we provide suggestions for the design of technologies centered on supporting dignity in nursing home continence care.

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Cited By

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  • (2024)Unobtrusive Nighttime Movement Monitoring to Support Nursing Home Continence Care: Machine Learning Study (Preprint)JMIR Nursing10.2196/58094Online publication date: 6-Mar-2024
  • (2022)(Intelligent) Technical Systems in Elderly Care: The Caregivers PerspectiveProceedings of the 34th Australian Conference on Human-Computer Interaction10.1145/3572921.3572948(81-87)Online publication date: 29-Nov-2022

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      NordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society
      October 2020
      1177 pages
      ISBN:9781450375795
      DOI:10.1145/3419249
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      Published: 26 October 2020

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      Author Tags

      1. continence
      2. dignity
      3. nursing home
      4. quality

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      NordiCHI '20: Shaping Experiences, Shaping Society
      October 25 - 29, 2020
      Tallinn, Estonia

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      View all
      • (2024)Unobtrusive Nighttime Movement Monitoring to Support Nursing Home Continence Care: Machine Learning Study (Preprint)JMIR Nursing10.2196/58094Online publication date: 6-Mar-2024
      • (2022)(Intelligent) Technical Systems in Elderly Care: The Caregivers PerspectiveProceedings of the 34th Australian Conference on Human-Computer Interaction10.1145/3572921.3572948(81-87)Online publication date: 29-Nov-2022

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