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dc.contributor.authorWillemse, IHJ
dc.contributor.authorSchootemeijer, S
dc.contributor.authorvan den Bergh, R
dc.contributor.authorDawes, H
dc.contributor.authorNonnekes, JH
dc.contributor.authorvan de Warrenburg, BPC
dc.date.accessioned2024-06-07T15:35:30Z
dc.date.issued2024-01-01
dc.date.updated2024-06-07T15:16:59Z
dc.description.abstractBACKGROUND: Numerous smartphone and tablet applications (apps) are available to monitor movement disorders, but an overview of their purpose and stage of development is missing. OBJECTIVES: To systematically review published literature and classify smartphone and tablet apps with objective measurement capabilities for the diagnosis, monitoring, assessment, or treatment of movement disorders. METHODS: We systematically searched for publications covering smartphone or tablet apps to monitor movement disorders until November 22nd, 2023. We reviewed the target population, measured domains, purpose, and technology readiness level (TRL) of the proposed app and checked their availability in common app stores. RESULTS: We identified 113 apps. Most apps were developed for Parkinson's disease specifically (n = 82; 73%) or for movement disorders in general (n = 17; 15%). Apps were either designed to momentarily assess symptoms (n = 65; 58%), support treatment (n = 22; 19%), aid in diagnosis (n = 16; 14%), or passively track symptoms (n = 11; 10%). Commonly assessed domains across movement disorders included fine motor skills (n = 34; 30%), gait (n = 36; 32%), and tremor (n = 32; 28%) for the motor domain and cognition (n = 16; 14%) for the non-motor domain. Twenty-six (23%) apps were proof-of-concepts (TRL 1-3), while most apps were tested in a controlled setting (TRL 4-6; n = 63; 56%). Twenty-four apps were tested in their target setting (TRL 7-9) of which 10 were accessible in common app stores or as Android Package. CONCLUSIONS: The development of apps strongly gravitates towards Parkinson's disease and a selection of motor symptoms. Collaboration, re-use and further development of existing apps is encouraged to avoid reinventions of the wheel.en_GB
dc.identifier.citationVol. 120, article 105988en_GB
dc.identifier.doihttps://doi.org/10.1016/j.parkreldis.2023.105988
dc.identifier.urihttp://hdl.handle.net/10871/136188
dc.identifierORCID: 0000-0002-2933-5213 (Dawes, Helen)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/38184466en_GB
dc.rights© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectHuntington diseaseen_GB
dc.subjectMobile applicationsen_GB
dc.subjectMovement disordersen_GB
dc.subjectParkinson diseaseen_GB
dc.subjectSmartphoneen_GB
dc.titleSmartphone applications for Movement Disorders: Towards collaboration and re-useen_GB
dc.typeArticleen_GB
dc.date.available2024-06-07T15:35:30Z
dc.identifier.issn1353-8020
exeter.article-number105988
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this record. en_GB
dc.identifier.eissn1873-5126
dc.identifier.journalParkinsonism & Related Disordersen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-12-31
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-01-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-06-07T15:34:02Z
refterms.versionFCDVoR
refterms.dateFOA2024-06-07T15:35:37Z
refterms.panelAen_GB
refterms.dateFirstOnline2024-01-01


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© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).