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After receiving surgery many of these patients require further support to continue to lose more weight or to maintain a healthy weight. Remotely monitoring such patients\u2019 physical activity and other health-related variables could provide healthworkers with a more \u2018ecologically valid\u2019 picture of these patients\u2019 behaviours to then provide more personalised support. The current study assesses the feasibility of two smartphone apps to do so. In addition, the study looks at the barriers and facilitators patients experience to using these apps effectively.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>\n                  <jats:bold>Methods<\/jats:bold>\n                <\/jats:title>\n                <jats:p>Participants with a BMI &gt;\u200935\u2009kg\/m<jats:sup>2<\/jats:sup> being considered for and who had previously undergone bariatric surgery were recruited. Participants were asked to install two mobile phone apps. The \u2018Moves\u2019 app automatically tracked participants\u2019 physical activity and the \u2018WLCompanion\u2019 app prompted participants to set goals and input other health-related information. Then, to learn about participants\u2019 facilitators and barriers to using the apps, some participants were asked to complete a survey informed by the Theoretical Domains Framework. The data were analysed using regressions and descriptive statistics.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>\n                  <jats:bold>Results<\/jats:bold>\n                <\/jats:title>\n                <jats:p>Of the 494 participants originally enrolled, 274 participants data were included in the analyses about their activity pre- and\/or post-bariatric surgery (ages 18\u201365, M\u2009=\u200944.02, SD\u2009\u00b1\u200911.29). Further analyses were performed on those 36 participants whose activity was tracked both pre- and post-surgery. Participants\u2019 activity levels pre- and post-surgery did not differ. In addition, 54 participants\u2019 survey responses suggested that the main facilitator to their continued use of the Moves app was its automatic nature, and the main barrier was its battery drain.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>The current study tracked physical activity in patients considered for and who had previously undergone bariatric surgery. The results should be interpreted with caution because of the small number of participants whose data meet the inclusion criteria and the barriers participants encountered to using the apps. Future studies should take note of the barriers to develop more user-friendly apps.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Trial registration<\/jats:title>\n                <jats:p>ClinicalTrials.gov- <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/clinicaltrials.gov\/ct2\/show\/NCT01365416\">NCT01365416<\/jats:ext-link> on the 3rd of June 2011.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12911-020-1025-3","type":"journal-article","created":{"date-parts":[[2020,2,3]],"date-time":"2020-02-03T16:03:42Z","timestamp":1580745822000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Tracking physical activity using smart phone apps: assessing the ability of a current app and systematically collecting patient recommendations for future development"],"prefix":"10.1186","volume":"20","author":[{"given":"J.","family":"Murphy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Uttamlal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. 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