hkr.sePublications
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
Modern technology against falls: A description of the MoTFall project
Kristianstad University, Faculty of Health Science, Department of Nursing and Integrated Health Sciences. Kristianstad University, Faculty of Health Science, Forskningsmiljön Man - Health - Society (MHS). Kristianstad University, Faculty of Health Science, Research Environment PRO-CARE, Patient Reported Outcomes - Clinical Assessment Research and Education.ORCID iD: 0000-0002-6879-9563
Lunds universitet.
Lunds universitet.
Lunds universitet, SUS.
Show others and affiliations
2021 (English)In: Health Informatics Journal, ISSN 1460-4582, E-ISSN 1741-2811, Vol. 27, no 2, p. 1-10, article id 14604582211011514Article in journal (Refereed) Published
Abstract [en]

To meet future challenges from an older and physically less active population innovative solutions are needed. Modern Technology against Falls (MoTFall) aims to prevent falls, increase physical activity and improve self-rated health among older people by means of an information and communication technology based system. The project has developed technology-based solutions, focusing on person-centred care. A participatory research design was applied in the development of a mobile application, a wearable inertial movement measurement unit (IMMU), called the Snubblometer ('snubbla' is 'stumble' in Swedish) and a web-based education programme for health care professionals. The mobile application includes a fall risk index, exercises and information related to falls prevention. By linking the app to the IMMU, person-centred interventions can be developed and implemented in various health care settings and with different target populations. The IMMU has shown good validity and reliability for measuring postural sway and high sensitivity and specificity for measuring a near fall. The education programme is directed at non-graduate health care professionals in nursing homes and home care. The technical solutions have potential for use in research and in clinical practice.

Place, publisher, year, edition, pages
2021. Vol. 27, no 2, p. 1-10, article id 14604582211011514
Keywords [en]
fall prevention, mobile health, older people, physical activity, wearable
National Category
Physiotherapy Geriatrics
Identifiers
URN: urn:nbn:se:hkr:diva-21916DOI: 10.1177/14604582211011514ISI: 000657297300017PubMedID: 34006139OAI: oai:DiVA.org:hkr-21916DiVA, id: diva2:1556411
Available from: 2021-05-21 Created: 2021-05-21 Last updated: 2021-06-24Bibliographically approved

Open Access in DiVA

fulltext(371 kB)167 downloads
File information
File name FULLTEXT01.pdfFile size 371 kBChecksum SHA-512
971c27432a6d4a06e393bd31ae82fb4ca8ca86ded3c6d96588c5059b005839d4ae5d0814e624cc37aaf549bf590e45b8ea41cd41567511b97630459eebd3f25a
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedFulltext

Authority records

Olsson Möller, Ulrika

Search in DiVA

By author/editor
Olsson Möller, Ulrika
By organisation
Department of Nursing and Integrated Health SciencesForskningsmiljön Man - Health - Society (MHS)Research Environment PRO-CARE, Patient Reported Outcomes - Clinical Assessment Research and Education
In the same journal
Health Informatics Journal
PhysiotherapyGeriatrics

Search outside of DiVA

GoogleGoogle Scholar
Total: 167 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 73 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