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dc.contributor.authorHeales, LJ
dc.contributor.authorRandall, S
dc.contributor.authorVicenzino, B
dc.contributor.authorCoombes, BK
dc.contributor.authorObst, S
dc.date.accessioned2021-03-10T00:10:58Z
dc.date.available2021-03-10T00:10:58Z
dc.date.issued2021
dc.identifier.issn1083-3196
dc.identifier.doi10.1080/10833196.2021.1885584
dc.identifier.urihttp://hdl.handle.net/10072/403022
dc.description.abstractBackground: Better access to evidence-based health information via mobile health apps could assist in information sharing, screening for severity/triage, and improving early intervention for individuals with lateral elbow tendinopathy (LET). Objectives: To use a systematic review framework to identify and appraise the utility and quality of mobile health apps for the management of individuals with LET. Methods: Apple iTunes and Google Play stores were searched using key words. Mobile health apps providing information related to the signs and symptoms, pathophysiology, and management of LET were included. The quality of the included apps was appraised by two reviewers using using the Mobile Application Rating Scale (MARS). Narrative synthesis was used to describe the key information from the included apps and compare the information presented to that of current evidence-based practice. Major Findings: Seven mobile health apps were included in this review. The mean score for the MARS quality appraisal was 2.5 out of 5 (range 2.0–4.2), with apps scoring poorly in engagement, information, and the subjective scoring subsections. No apps were validated or used as a part of a clinical trial. Of the 37 individually recommended interventions only eight (22%) were supported by empirical evidence. No apps screened individuals for condition severity or used patient inputted data for individualisation of information. Conclusion: A majority of currently available health apps for LET lack empirical evidence to support the information they provide. Future apps could include a data collection and screening process to help guide appropriate management.
dc.description.peerreviewedYes
dc.languageen
dc.publisherInforma UK Limited
dc.relation.ispartofpagefrom1
dc.relation.ispartofjournalPhysical Therapy Reviews
dc.subject.fieldofresearchClinical Sciences
dc.subject.fieldofresearchHuman Movement and Sports Sciences
dc.subject.fieldofresearchcode1103
dc.subject.fieldofresearchcode1106
dc.titleAn evidence-based evaluation of mobile health apps for the management of individuals with lateral elbow tendinopathy using a systematic review framework
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationHeales, LJ; Randall, S; Vicenzino, B; Coombes, BK; Obst, S, An evidence-based evaluation of mobile health apps for the management of individuals with lateral elbow tendinopathy using a systematic review framework, Physical Therapy Reviews, 2021
dc.date.updated2021-03-09T22:49:27Z
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.
gro.hasfulltextNo Full Text
gro.griffith.authorCoombes, Brooke K.


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