{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T04:29:30Z","timestamp":1781152170399,"version":"3.54.1"},"reference-count":42,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T00:00:00Z","timestamp":1605139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,15]]},"abstract":"Abstract<\/jats:title>\n \n Objective<\/jats:title>\n Our study estimates the prevalence and predictors of wearable device adoption and data sharing with healthcare providers in a nationally representative sample.<\/jats:p>\n <\/jats:sec>\n \n Materials and Methods<\/jats:title>\n Data were obtained from the 2019 Health Information National Trend Survey. We conducted multivariable logistic regression to examine predictors of device adoption and data sharing.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n The sample contained 4159 individuals, 29.9% of whom had adopted a wearable device in 2019. Among adopters, 46.3% had shared data with their provider. Individuals with diabetes (odds ratio [OR], 2.39; 95% CI, 1.66\u20133.45; P &lt; .0001), hypertension (OR, 2.80; 95% CI, 2.12\u20133.70; P &lt; .0001), and multiple chronic conditions (OR, 1.55; 95% CI, 1.03\u20132.32; P &lt; .0001) had significantly higher odds of wearable device adoption. Individuals with a usual source of care (OR, 2.44; 95% CI, 1.95\u20133.04; P &lt; .0001), diabetes (OR, 1.66; 95% CI, 1.32\u20132.08; P &lt; .0001), and hypertension (OR, 1.78; 95% CI, 1.44\u20132.20; P &lt; .0001) had significantly higher odds of sharing data with providers.<\/jats:p>\n <\/jats:sec>\n \n Discussion<\/jats:title>\n A third of individuals adopted a wearable medical device and nearly 50% of individuals who owned a device shared data with a provider in 2019. Patients with certain conditions, such as diabetes and hypertension, were more likely to adopt devices and share data with providers. Social determinants of health, such as income and usual source of care, negatively affected wearable device adoption and data sharing, similarly to other consumer health technologies.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Wearable device adoption and data sharing with providers may be more common than prior studies have reported; however, digital disparities were noted. Studies are needed that test implementation strategies to expand wearable device use and data sharing into care delivery.<\/jats:p>\n <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa272","type":"journal-article","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T19:37:57Z","timestamp":1602790677000},"page":"371-376","source":"Crossref","is-referenced-by-count":38,"title":["Sharing patient-generated data with healthcare providers: findings from a 2019 national survey"],"prefix":"10.1093","volume":"28","author":[{"given":"Kea","family":"Turner","sequence":"first","affiliation":[{"name":"Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ara","family":"Jo","sequence":"additional","affiliation":[{"name":"Department of Health Services Research, Management, and Policy, University of Florida, Gainesville, Florida, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grace","family":"Wei","sequence":"additional","affiliation":[{"name":"University of South Florida Morsani College of Medicine, Tampa, Florida, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir Alishahi","family":"Tabriz","sequence":"additional","affiliation":[{"name":"Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alecia","family":"Clary","sequence":"additional","affiliation":[{"name":"Center for Healthcare Transformation, Avalere Health, Washington DC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heather S L","family":"Jim","sequence":"additional","affiliation":[{"name":"Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,11,12]]},"reference":[{"issue":"5","key":"2021021519085775100_ocaa272-B1","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1177\/1932296817713506","article-title":"A systematic review of reviews evaluating technology-enabled diabetes self-management education and support","volume":"11","author":"Greenwood","year":"2017","journal-title":"J Diabetes Sci Technol"},{"issue":"6","key":"2021021519085775100_ocaa272-B2","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1093\/jamia\/ocy006","article-title":"Converging and diverging needs between patients and providers who are collecting and using patient-generated health data: an integrative review","volume":"25","author":"Reading","year":"2018","journal-title":"J Am Med Inform Assoc"},{"issue":"6","key":"2021021519085775100_ocaa272-B3","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1016\/j.amjmed.2015.01.005","article-title":"Mobile health technology for personalized primary care medicine","volume":"128","author":"Shaw","year":"2015","journal-title":"Am J Med"},{"issue":"1","key":"2021021519085775100_ocaa272-B4","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.diabres.2008.06.015","article-title":"Use of a real time continuous glucose monitoring system as a motivational device for poorly controlled type 2 diabetes","volume":"82","author":"Yoo","year":"2008","journal-title":"Diabetes Res Clin Pract"},{"issue":"3","key":"2021021519085775100_ocaa272-B5","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1089\/dia.2007.0205","article-title":"Reduction in hemoglobin A1C with real-time continuous glucose monitoring: results from a 12-week observational study","volume":"9","author":"Bailey","year":"2007","journal-title":"Diabetes Technol Ther"},{"issue":"1","key":"2021021519085775100_ocaa272-B6","doi-asserted-by":"crossref","first-page":"32","DOI":"10.2337\/dc11-1438","article-title":"Short- and long-term effects of real-time continuous glucose monitoring in patients with type 2 diabetes","volume":"35","author":"Vigersky","year":"2012","journal-title":"Diabetes Care"},{"issue":"4","key":"2021021519085775100_ocaa272-B7","doi-asserted-by":"crossref","first-page":"800","DOI":"10.1177\/1932296818777265","article-title":"Health care costs, hospital admissions, and glycemic control using a standalone, real-time, continuous glucose monitoring system in commercially insured patients with type 1 diabetes","volume":"12","author":"Gill","year":"2018","journal-title":"J Diabetes Sci Technol"},{"issue":"9766","key":"2021021519085775100_ocaa272-B8","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1016\/S0140-6736(11)60101-3","article-title":"Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial","volume":"377","author":"Abraham","year":"2011","journal-title":"Lancet"},{"issue":"9","key":"2021021519085775100_ocaa272-B9","doi-asserted-by":"crossref","first-page":"e12861","DOI":"10.2196\/12861","article-title":"Wearable health technology and electronic health record integration: scoping review and future directions","volume":"7","author":"Dinh-Le","year":"2019","journal-title":"JMIR Mhealth Uhealth"},{"issue":"8","key":"2021021519085775100_ocaa272-B10","doi-asserted-by":"crossref","first-page":"e202","DOI":"10.2196\/jmir.4209","article-title":"\u201cYou get reminded you're a sick person\u201d: personal data tracking and patients with multiple chronic conditions","volume":"17","author":"Ancker","year":"2015","journal-title":"J Med Internet Res"},{"key":"2021021519085775100_ocaa272-B11","first-page":"1303","article-title":"Sharing patient-generated data in clinical practices: an interview study","volume":"2016","author":"Zhu","year":"2016","journal-title":"AMIA Annu Symp Proc"},{"key":"2021021519085775100_ocaa272-B12","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.ijmedinf.2015.12.010","article-title":"Examining individuals' adoption of healthcare wearable devices: an empirical study from privacy calculus perspective","volume":"88","author":"Li","year":"2016","journal-title":"Int J Med Inform"},{"issue":"7","key":"2021021519085775100_ocaa272-B13","doi-asserted-by":"crossref","first-page":"e10480","DOI":"10.2196\/10480","article-title":"Barriers to and facilitators of engagement with remote measurement technology for managing health: systematic review and content analysis of findings","volume":"20","author":"Simblett","year":"2018","journal-title":"J Med Internet Res"},{"issue":"5","key":"2021021519085775100_ocaa272-B14","doi-asserted-by":"crossref","first-page":"e002671","DOI":"10.1136\/bmjopen-2013-002671","article-title":"Experiences of patients and professionals participating in the HITS home blood pressure telemonitoring trial: a qualitative study","volume":"3","author":"Hanley","year":"2013","journal-title":"BMJ Open"},{"issue":"4","key":"2021021519085775100_ocaa272-B15","doi-asserted-by":"crossref","first-page":"e55","DOI":"10.2196\/jmir.1627","article-title":"Attitudes of heart failure patients and health care providers towards mobile phone-based remote monitoring","volume":"12","author":"Seto","year":"2010","journal-title":"J Med Internet Res"},{"issue":"590","key":"2021021519085775100_ocaa272-B16","doi-asserted-by":"crossref","first-page":"e604-10","DOI":"10.3399\/bjgp11X593893","article-title":"Stroke patients' perceptions of home blood pressure monitoring: a qualitative study","volume":"61","author":"Ovaisi","year":"2011","journal-title":"Br J Gen Pract"},{"issue":"3","key":"2021021519085775100_ocaa272-B17","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1097\/HJH.0b013e3282f2fdd4","article-title":"Attitudes of primary care physicians and their patients about home blood pressure monitoring in Ontario","volume":"26","author":"Logan","year":"2008","journal-title":"J Hypertens"},{"key":"2021021519085775100_ocaa272-B18","first-page":"S3","article-title":"Continuous glucose monitoring: a review of successes, challenges, and opportunities","volume":"18 (Suppl 2","author":"Rodbard","year":"2016","journal-title":"Diabetes Technol Ther"},{"issue":"4","key":"2021021519085775100_ocaa272-B19","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1093\/jamiaopen\/ooz036","article-title":"Patient-generated health data management and quality challenges in remote patient monitoring","volume":"2","author":"Abdolkhani","year":"2019","journal-title":"JAMIA Open"},{"issue":"1","key":"2021021519085775100_ocaa272-B20","doi-asserted-by":"crossref","first-page":"3:1","DOI":"10.1147\/JRD.2017.2762218","article-title":"Data quality challenges for person-generated health and wellness data","volume":"62","author":"Codella","year":"2018","journal-title":"IBM J Res Dev"},{"issue":"7","key":"2021021519085775100_ocaa272-B21","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/s10916-017-0760-1","article-title":"A systematic review of wearable patient monitoring systems - current challenges and opportunities for clinical adoption","volume":"41","author":"Baig","year":"2017","journal-title":"J Med Syst"},{"issue":"11","key":"2021021519085775100_ocaa272-B22","doi-asserted-by":"crossref","first-page":"e0165908","DOI":"10.1371\/journal.pone.0165908","article-title":"A large-scale initiative inviting patients to share personal fitness tracker data with their providers: initial results","volume":"11","author":"Pevnick","year":"2016","journal-title":"PLoS One"},{"key":"2021021519085775100_ocaa272-B23","author":"Vogels","year":"2020"},{"issue":"10","key":"2021021519085775100_ocaa272-B24","doi-asserted-by":"crossref","first-page":"960","DOI":"10.1093\/jamia\/ocz030","article-title":"Patient portal utilization: before and after stage 2 electronic health record meaningful use","volume":"26","author":"Turner","year":"2019","journal-title":"J Am Med Inform Assoc"},{"key":"2021021519085775100_ocaa272-B25","author":"Wiegel","year":"2020"},{"key":"2021021519085775100_ocaa272-B26","year":"2018"},{"issue":"6","key":"2021021519085775100_ocaa272-B27","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1177\/0890117119900587","article-title":"Physical activity surveillance using wearable activity monitors: are US adults willing to share their data?","volume":"34","author":"Hyde","year":"2020","journal-title":"Am J Health Promot"},{"issue":"3","key":"2021021519085775100_ocaa272-B28","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.jsmc.2020.06.002","article-title":"Telemedicine coding and reimbursement - current and future trends","volume":"15","author":"Abbasi-Feinberg","year":"2020","journal-title":"Sleep Med Clin"},{"issue":"5","key":"2021021519085775100_ocaa272-B29","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.amjms.2019.07.003","article-title":"Continuous glucose monitoring: review of an innovation in diabetes management","volume":"358","author":"Mian","year":"2019","journal-title":"Am J Med Sci"},{"issue":"10","key":"2021021519085775100_ocaa272-B30","doi-asserted-by":"crossref","first-page":"755","DOI":"10.7326\/M17-1495","article-title":"Using wearable devices and smartphones to track physical activity: initial activation, sustained use, and step counts across sociodemographic characteristics in a national sample","volume":"167","author":"Patel","year":"2017","journal-title":"Ann Intern Med"},{"key":"2021021519085775100_ocaa272-B31","author":"Fox","year":"2013"},{"issue":"4","key":"2021021519085775100_ocaa272-B32","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1111\/j.1751-7176.2008.07530.x","article-title":"Use of home blood pressure monitoring by hypertensive patients in primary care: survey of a practice-based research network cohort","volume":"10","author":"Viera","year":"2008","journal-title":"J Clin Hypertension"},{"issue":"3","key":"2021021519085775100_ocaa272-B33","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1200\/JOP.2015.003715","article-title":"Potential and challenges of patient-generated health data for high-quality cancer care","volume":"11","author":"Chung","year":"2015","journal-title":"J Oncol Pract"},{"key":"2021021519085775100_ocaa272-B34","year":"2020"},{"key":"2021021519085775100_ocaa272-B35","doi-asserted-by":"crossref","first-page":"102209","DOI":"10.1016\/j.ijinfomgt.2020.102209","article-title":"Wearable device adoption among older adults: a mixed-methods study","volume":"55","author":"Farivar","year":"2020","journal-title":"Int J Inform Manag"},{"key":"2021021519085775100_ocaa272-B36","year":"2020"},{"key":"2021021519085775100_ocaa272-B37","doi-asserted-by":"crossref","first-page":"e937","DOI":"10.1097\/JU.0000000000000936.06","article-title":"The role of wearable devices and CPET in predicting major complications after radical cystectomy","volume":"203","author":"Khetrapal","year":"2020","journal-title":"J Urol"},{"issue":"4a","key":"2021021519085775100_ocaa272-B38","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1353\/hpu.2012.0148","article-title":"Sociodemographic differences in fears and mistrust contributing to unwillingness to participate in cancer screenings","volume":"23","author":"Davis","year":"2012","journal-title":"J Health Care Poor Underserved"},{"issue":"3","key":"2021021519085775100_ocaa272-B39","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1002\/pon.4030","article-title":"Fatalism, medical mistrust, and pretreatment health-related quality of life in ethnically diverse prostate cancer patients","volume":"26","author":"Bustillo","year":"2017","journal-title":"Psychooncology"},{"issue":"5","key":"2021021519085775100_ocaa272-B40","doi-asserted-by":"crossref","first-page":"784","DOI":"10.1007\/s10865-017-9843-1","article-title":"Medical mistrust as a key mediator in the association between perceived discrimination and adherence to antiretroviral therapy among HIV-positive Latino men","volume":"40","author":"Galvan","year":"2017","journal-title":"J Behav Med"},{"key":"2021021519085775100_ocaa272-B41","author":"Lopez","year":"2018"},{"issue":"5","key":"2021021519085775100_ocaa272-B42","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1001\/jama.2014.14781","article-title":"Wearable devices as facilitators, not drivers, of health behavior change","volume":"313","author":"Patel","year":"2015","journal-title":"JAMA"}],"container-title":["Journal of the American Medical Informatics Association"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/jamia\/article-pdf\/28\/2\/371\/36270292\/ocaa272.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/academic.oup.com\/jamia\/article-pdf\/28\/2\/371\/36270292\/ocaa272.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,16]],"date-time":"2021-02-16T16:42:03Z","timestamp":1613493723000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jamia\/article\/28\/2\/371\/5979638"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,12]]},"references-count":42,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2020,11,12]]},"published-print":{"date-parts":[[2021,2,15]]}},"URL":"https:\/\/doi.org\/10.1093\/jamia\/ocaa272","relation":{},"ISSN":["1067-5027","1527-974X"],"issn-type":[{"value":"1067-5027","type":"print"},{"value":"1527-974X","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2021,2,1]]},"published":{"date-parts":[[2020,11,12]]}}}