Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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 University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-9203-1124
Show others and affiliations
2023 (English)In: 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, p. 116-126Conference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
Springer, 2023. p. 116-126
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211, E-ISSN 1867-822X ; 488
Keywords [en]
Asthma, Mobile Health, mHealth, Home Monitoring, Compliance, Passive Monitoring
National Category
Computer Sciences
Identifiers
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 (print)ISBN: 978-3-031-34586-9 (electronic)OAI: oai:DiVA.org:mau-58644DiVA, id: diva2:1743246
Conference
16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022
Available from: 2023-03-14 Created: 2023-03-14 Last updated: 2024-05-20Bibliographically approved

Open Access in DiVA

The full text will be freely available from 2024-06-11 08:26
Available from 2024-06-11 08:26

Other links

Publisher's full textScopus

Authority records

Salvi, DarioOlsson, Carl Magnus

Search in DiVA

By author/editor
Tsang, Kevin CHPinnock, HilaryWilson, Andrew MSalvi, DarioOlsson, Carl MagnusSyed Ahmar, Shah
By organisation
Internet of Things and People (IOTAP)Department of Computer Science and Media Technology (DVMT)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 238 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf