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Feasibility and Acceptability of Smart Augmented Reality Assisting Patients with Medication Pillbox Self-Management
Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering. Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0003-1428-1950
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0003-4072-8795
2019 (engelsk)Inngår i: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 264, s. 521-525Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Complex prescribed medicine regimens require extensive self-management. Handling multiple pills can be confusing; using a pillbox organiser is a common strategy. A smart Medication Coach Intelligent Agent (MCIA) can support patients in handling medicine. The aim of this research was to evaluate the feasibility and acceptability of the MCIA. A prototype was tested with 15 participants, age 17-76, filled a pillbox according to prescription assisted by the MCIA implemented in a Microsoft HoloLens. A quantitative method using questionnaires was applied. Results showed that using the MCIA implemented in an AR-headset, to assist people with prescribed polypharmacy regimen in filling a pillbox, was feasible and acceptable. There was a difference related to age regarding people's willingness to use an AR-headset for medication self-management. People older than 65 felt less comfortable using the technology and were also more hesitant to use the technology than those under 65.

sted, utgiver, år, opplag, sider
IOS Press, 2019. Vol. 264, s. 521-525
Emneord [en]
Self-Management, Artificial Intelligence, Polypharmacy
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Identifikatorer
URN: urn:nbn:se:umu:diva-162916DOI: 10.3233/SHTI190277ISI: 000569653400105PubMedID: 31437978Scopus ID: 2-s2.0-85071502111OAI: oai:DiVA.org:umu-162916DiVA, id: diva2:1347691
Tilgjengelig fra: 2019-09-02 Laget: 2019-09-02 Sist oppdatert: 2023-03-24bibliografisk kontrollert

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Blusi, MadeleineNieves, Juan Carlos

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