{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T05:54:53Z","timestamp":1790142893574,"version":"4.0.1"},"reference-count":27,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"11","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,4]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>After a lower-extremity fracture, the patient\u2019s priority is to regain function. To date, our ability to measure function has been limited. However, high-fidelity sensors in smartphones continuously measure mobility, providing an expansive pre- and post-injury gait history. We assessed whether pre-injury mobility data, combined with demographic and injury data, reliably predicted post-fracture mobility.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We enrolled 107 adult patients (mean age, 45 years; 43% female, 62% White, 36% Black, 1% Asian, 1% more than one race) \u22656 months after the surgical treatment of a lower-extremity fracture. Consenting patients exported their Apple iPhone mobility metrics, including step count, walking speed, step length, walking asymmetry, and double-support time. We integrated these mobility measures with demographic and injury data. Using nonlinear modeling, we assessed whether pre-injury mobility metrics combined with baseline data predicted post-fracture mobility.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      All models were well calibrated and had model fits ranging from an adjusted R\n                      <jats:sup>2<\/jats:sup>\n                      of 0.18 (walking asymmetry) to 0.61 (double-support time). Pre-injury function strongly predicted post-injury mobility in all models. After the injury, the average daily step count increased by 65 steps each week (95% confidence interval [CI], 56 to 75). Weekly gains were significantly greater within 6 weeks after the injury (92 daily steps per week; 95% CI, 58 to 127) than 20 to 26 weeks post-injury (19 daily steps per week; 95% CI, 11 to 27; p &lt; 0.001). Greater pre-injury steps were associated with increased post-injury mobility (301 daily steps post-injury per 1,000 steps pre-injury; 95% CI, 235 to 367). Mean walking speed declined by 0.200 m\/s (95% CI, \u22120.257 to \u22120.143) from injury to 8 weeks post-injury. From 12 to 26 weeks post-injury, the average walking speed increased by 0.071 m\/s (95% CI, 0.044 to 0.097).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>These proof-of-concept findings highlight the value of high-fidelity pre-injury mobility data in predicting recovery. Individualized recovery projections can provide patient-friendly counseling tools and useful clinical insight for surgeons.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Level of Evidence:<\/jats:title>\n                    <jats:p>\n                      Prognostic\n                      <jats:underline>Level III<\/jats:underline>\n                      . See Instructions for Authors for a complete description of levels of evidence.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.2106\/jbjs.24.01305","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T14:00:43Z","timestamp":1745848843000},"page":"e57","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":4,"title":["Predicting Post-Fracture Recovery with Smartphone Mobility Data"],"prefix":"10.2106","volume":"107","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0470-0330","authenticated-orcid":false,"given":"Brian M.","family":"Shear","sequence":"first","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8685-5373","authenticated-orcid":false,"given":"Dane J.","family":"Brodke","sequence":"additional","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6313-006X","authenticated-orcid":false,"given":"Gregory R.","family":"Hancock","sequence":"additional","affiliation":[{"name":"Department of Human Development and Quantitative Methodology, University of Maryland College of Education, College Park, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8974-1988","authenticated-orcid":false,"given":"Patrick","family":"McGlone","sequence":"additional","affiliation":[{"name":"Department of Orthopaedic Surgery, Walter Reed National Military Medical Center, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8977-1191","authenticated-orcid":false,"given":"Haley","family":"Demyanovich","sequence":"additional","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vivian","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alice","family":"Bell","sequence":"additional","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1424-4458","authenticated-orcid":false,"given":"David","family":"Okhuereigbe","sequence":"additional","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9111-9239","authenticated-orcid":false,"given":"Gerard P.","family":"Slobogean","sequence":"additional","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5628-6584","authenticated-orcid":false,"given":"Robert V.","family":"O\u2019Toole","sequence":"additional","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathan N.","family":"O\u2019Hara","sequence":"additional","affiliation":[{"name":"Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2025,4,28]]},"reference":[{"key":"bib1-20260205","doi-asserted-by":"crossref","first-page":"21514593241236647","DOI":"10.1177\/21514593241236647","article-title":"Fix or replace? Patient preferences for the treatment of geriatric lower extremity fractures: a discrete choice experiment","volume":"15","author":"Richards","year":"2024","journal-title":"Geriatr Orthop Surg Rehabil."},{"issue":"Suppl 7","key":"bib2-20260205","article-title":"Valuing the recovery priorities of orthopaedic trauma patients after injury: evidence from a discrete choice experiment within 6 weeks of injury","volume":"33","author":"O\u02bcHara","year":"2019","journal-title":"J Orthop Trauma."},{"issue":"11","key":"bib3-20260205","doi-asserted-by":"crossref","DOI":"10.5435\/JAAOS-D-15-00404","article-title":"PROMIS for orthopaedic outcomes measurement","volume":"24","author":"Brodke","year":"2016","journal-title":"J Am Acad Orthop Surg."},{"issue":"11","key":"bib4-20260205","doi-asserted-by":"crossref","DOI":"10.5435\/JAAOS-D-15-00420","article-title":"Item response theory and computerized adaptive testing for orthopaedic outcomes measures","volume":"24","author":"Brodke","year":"2016","journal-title":"J Am Acad Orthop Surg."},{"issue":"3","key":"bib5-20260205","doi-asserted-by":"crossref","DOI":"10.3171\/2023.5.SPINE23336","article-title":"Defining the minimal clinically important difference in smartphone-based mobility after spine surgery: correlation of survey questionnaire to mobility data","volume":"39","author":"Chauhan","year":"2023","journal-title":"J Neurosurg Spine."},{"issue":"1","key":"bib7-20260205","doi-asserted-by":"crossref","first-page":"5350","DOI":"10.1038\/s41598-023-32550-3","article-title":"Validity and reliability of the Apple Health app on iPhone for measuring gait parameters in children, adults, and seniors","volume":"13","author":"Werner","year":"2023","journal-title":"Sci Rep."},{"issue":"7663","key":"bib9-20260205","doi-asserted-by":"crossref","DOI":"10.1038\/nature23018","article-title":"Large-scale physical activity data reveal worldwide activity inequality","volume":"547","author":"Althoff","year":"2017","journal-title":"Nature."},{"issue":"3","key":"bib10-20260205","doi-asserted-by":"crossref","first-page":"e235174","DOI":"10.1001\/jamanetworkopen.2023.5174","article-title":"Association of daily step patterns with mortality in US adults","volume":"6","author":"Inoue","year":"2023","journal-title":"JAMA Netw Open."},{"issue":"3","key":"bib11-20260205","doi-asserted-by":"crossref","DOI":"10.1016\/S2468-2667(21)00302-9","article-title":"Steps for Health Collaborative. Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts","volume":"7","author":"Paluch","year":"2022","journal-title":"Lancet Public Health."},{"issue":"10","key":"bib12-20260205","doi-asserted-by":"crossref","first-page":"e072583","DOI":"10.1136\/bmjopen-2023-072583","article-title":"Patient preferences for physical therapy programs after a lower extremity fracture: a discrete choice experiment","volume":"13","author":"McKibben","year":"2023","journal-title":"BMJ Open."},{"issue":"6","key":"bib13-20260205","doi-asserted-by":"crossref","DOI":"10.1097\/BOT.0000000000002794","article-title":"Patient preferences for operative versus nonoperative treatment of LC1 pelvis fracture: a discrete choice experiment","volume":"38","author":"Patterson","year":"2024","journal-title":"J Orthop Trauma."},{"issue":"2","key":"bib14-20260205","doi-asserted-by":"crossref","DOI":"10.1519\/00139143-200932020-00002","article-title":"White paper: \u201cwalking speed: the sixth vital sign\u201d","volume":"32","author":"Fritz","year":"2009","journal-title":"J Geriatr Phys Ther."},{"issue":"2","key":"bib15-20260205","article-title":"Walking speed: the functional vital sign","volume":"23","author":"Middleton","year":"2015","journal-title":"J Aging Phys Act."},{"issue":"1","key":"bib16-20260205","doi-asserted-by":"crossref","DOI":"10.1093\/ageing\/26.1.15","article-title":"Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants","volume":"26","author":"Bohannon","year":"1997","journal-title":"Age Ageing."},{"issue":"8","key":"bib17-20260205","doi-asserted-by":"crossref","DOI":"10.1093\/gerona\/glp033","article-title":"Quantitative gait markers and incident fall risk in older adults","volume":"64","author":"Verghese","year":"2009","journal-title":"J Gerontol A Biol Sci Med Sci."},{"issue":"1","key":"bib18-20260205","doi-asserted-by":"crossref","DOI":"10.1001\/jama.2010.1923","article-title":"Gait speed and survival in older adults","volume":"305","author":"Studenski","year":"2011","journal-title":"JAMA."},{"issue":"6","key":"bib19-20260205","doi-asserted-by":"crossref","DOI":"10.1177\/0363546513482718","article-title":"Gait patterns differ between ACL-reconstructed athletes who pass return-to-sport criteria and those who fail","volume":"41","author":"Di Stasi","year":"2013","journal-title":"Am J Sports Med."},{"issue":"2","key":"bib20-20260205","doi-asserted-by":"crossref","DOI":"10.1016\/j.gaitpost.2009.10.014","article-title":"Evaluation of gait symmetry after stroke: a comparison of current methods and recommendations for standardization","volume":"31","author":"Patterson","year":"2010","journal-title":"Gait Posture."},{"issue":"2","key":"bib21-20260205","doi-asserted-by":"crossref","DOI":"10.3109\/09593985.2011.574783","article-title":"Criteria of gait asymmetry in patients with hip osteoarthritis","volume":"28","author":"Hodt-Billington","year":"2012","journal-title":"Physiother Theory Pract."},{"issue":"13","key":"bib22-20260205","doi-asserted-by":"crossref","DOI":"10.1080\/09593985.2021.1990449","article-title":"Gait asymmetry is associated with performance-based physical function among adults with lower-limb amputation","volume":"38","author":"Seth","year":"2022","journal-title":"Physiother Theory Pract."},{"issue":"1","key":"bib23-20260205","doi-asserted-by":"crossref","first-page":"13193","DOI":"10.1038\/s41598-018-31507-1","article-title":"Normal limits of home measured spatial gait parameters of the elderly population and their association with health variables","volume":"8","author":"Herrero-Larrea","year":"2018","journal-title":"Sci Rep."},{"issue":"3","key":"bib24-20260205","doi-asserted-by":"crossref","DOI":"10.1111\/j.1532-5415.1997.tb00946.x","article-title":"Gait changes in older adults: predictors of falls or indicators of fear","volume":"45","author":"Maki","year":"1997","journal-title":"J Am Geriatr Soc."},{"issue":"7","key":"bib25-20260205","doi-asserted-by":"crossref","first-page":"e0158623","DOI":"10.1371\/journal.pone.0158623","article-title":"Daily-life gait quality as predictor of falls in older people: a 1-year prospective cohort study","volume":"11","author":"van Schooten","year":"2016","journal-title":"PLoS One."},{"issue":"10","key":"bib26-20260205","doi-asserted-by":"crossref","DOI":"10.1111\/j.1532-5415.1999.tb05209.x","article-title":"Walking speed and stride length predicts 36 months dependency, mortality, and institutionalization in Chinese aged 70 and older","volume":"47","author":"Woo","year":"1999","journal-title":"J Am Geriatr Soc."},{"issue":"1","key":"bib27-20260205","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1186\/s12984-020-0643-4","article-title":"Spatio-temporal gait variables predicted incident disability","volume":"17","author":"Doi","year":"2020","journal-title":"J Neuroeng Rehabil."},{"issue":"7","key":"bib28-20260205","doi-asserted-by":"crossref","first-page":"e17039","DOI":"10.2196\/17039","article-title":"Use of mobile phone app interventions to promote weight loss: meta-analysis","volume":"8","author":"Islam","year":"2020","journal-title":"JMIR Mhealth Uhealth."},{"issue":"4","key":"bib29-20260205","first-page":"CD006611","article-title":"Mobile phone-based interventions for smoking cessation","volume":"4","author":"Whittaker","year":"2016","journal-title":"Cochrane Database Syst Rev."}],"container-title":["Journal of Bone and Joint Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.2106\/JBJS.24.01305","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T13:45:45Z","timestamp":1787751945000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.2106\/JBJS.24.01305"}},"subtitle":["A Proof-of-Concept Study"],"short-title":[],"issued":{"date-parts":[[2025,4,28]]},"references-count":27,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.2106\/jbjs.24.01305","relation":{},"ISSN":["0021-9355","1535-1386"],"issn-type":[{"value":"0021-9355","type":"print"},{"value":"1535-1386","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,28]]}}}