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Compliance and Usability of an Asthma Home Monitoring System
Usher Institute, University of Edinburgh.ORCID-id: 0000-0002-7530-5701
Usher Institute, University of Edinburgh.ORCID-id: 0000-0002-5976-8386
Norwich Medical School, University of East Anglia.ORCID-id: 0000-0002-5514-4867
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-9203-1124
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2023 (Engelska)Ingår i: Pervasive Computing Technologies for Healthcare: 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings / [ed] Athanasios Tsanas; Andreas Triantafyllidis, Springer, 2023, s. 116-126Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Asthma monitoring is an important aspect of patient self-management. However, due to its repetitive nature, patients can find long-term monitoring tedious. Mobile health can provide an avenue to monitor asthma without needing high levels of active engagement, and instead rely on passive monitoring. In our recent AAMOS-00 study, we collected mobile health data over six months from 22 asthma patients using passive and active monitoring technology, including smartwatch, peak flow measurements, and daily asthma diaries.

Compliance to smartwatch monitoring was found to lie between the compliance to complete daily asthma diaries and measuring daily peak flow. However, some study participants faced technical issues with the devices which could have affected the relative compliance of the monitoring tasks.

Moreover, as evidenced by standard usability questionnaires, we found that the AAMOS-00 study’s data collection system was similar in quality to other studies and published apps.

Ort, förlag, år, upplaga, sidor
Springer, 2023. s. 116-126
Serie
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211, E-ISSN 1867-822X ; 488
Nyckelord [en]
Asthma, Mobile Health, mHealth, Home Monitoring, Compliance, Passive Monitoring
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:mau:diva-58644DOI: 10.1007/978-3-031-34586-9_9Scopus ID: 2-s2.0-85164103209ISBN: 978-3-031-34585-2 (tryckt)ISBN: 978-3-031-34586-9 (digital)OAI: oai:DiVA.org:mau-58644DiVA, id: diva2:1743246
Konferens
16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022
Tillgänglig från: 2023-03-14 Skapad: 2023-03-14 Senast uppdaterad: 2024-06-11Bibliografiskt granskad

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Salvi, DarioOlsson, Carl Magnus

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Tsang, Kevin CHPinnock, HilaryWilson, Andrew MSalvi, DarioOlsson, Carl MagnusSyed Ahmar, Shah
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Internet of Things and People (IOTAP)Institutionen för datavetenskap och medieteknik (DVMT)
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