{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T16:56:11Z","timestamp":1781542571034,"version":"3.54.5"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000864","name":"Michael J. Fox Foundation for Parkinson's Research","doi-asserted-by":"crossref","award":["NA"],"award-info":[{"award-number":["NA"]}],"id":[{"id":"10.13039\/100000864","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Teva Pharmaceuticals","award":["NA"],"award-info":[{"award-number":["NA"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s12911-018-0714-7","type":"journal-article","created":{"date-parts":[[2018,12,20]],"date-time":"2018-12-20T15:26:34Z","timestamp":1545319594000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Characterizing patient compliance over six months in remote digital trials of Parkinson\u2019s and Huntington disease"],"prefix":"10.1186","volume":"18","author":[{"given":"Shani","family":"Cohen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5806-7000","authenticated-orcid":false,"given":"Zeev","family":"Waks","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jordan J.","family":"Elm","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark Forrest","family":"Gordon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Igor D.","family":"Grachev","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leehee","family":"Navon-Perry","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shai","family":"Fine","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iris","family":"Grossman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Spyros","family":"Papapetropoulos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juha-Matti","family":"Savola","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,12,20]]},"reference":[{"key":"714_CR1","doi-asserted-by":"publisher","first-page":"130","DOI":"10.3390\/s17010130","volume":"17","author":"S Majumder","year":"2017","unstructured":"Majumder S, Mondal T, Deen M. Wearable Sensors for Remote Health Monitoring. Sensors. 2017;17:130 Available from: http:\/\/www.mdpi.com\/1424-8220\/17\/1\/130 .","journal-title":"Sensors"},{"key":"714_CR2","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/s40271-014-0090-z","volume":"8","author":"SJ Coons","year":"2015","unstructured":"Coons SJ, Eremenco S, Lundy JJ, O\u2019Donohoe P, O\u2019Gorman H, Malizia W. Capturing patient-reported outcome (PRO) data electronically: the past, present, and promise of ePRO measurement in clinical trials. Patient [internet]. Springer International Publishing. 2015;8:301\u20139 Available from: https:\/\/doi.org\/10.1007\/s40271-014-0090-z .","journal-title":"Springer International Publishing"},{"key":"714_CR3","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1016\/j.clinthera.2017.03.018","volume":"39","author":"IB Hirsch","year":"2017","unstructured":"Hirsch IB, Martinez J, Dorsey ER, Finken G, Fleming A, Gropp C, et al. Incorporating Site-less Clinical Trials Into Drug Development: A Framework for Action. Clin Ther. 2017;39:1064\u201376 Available from: https:\/\/doi.org\/10.1016\/j.clinthera.2017.03.018 .","journal-title":"Clin Ther"},{"key":"714_CR4","doi-asserted-by":"publisher","DOI":"10.1093\/med\/9780199685219.001.0001","volume-title":"Health measurement scales: a practical guide to their development and use","author":"DL Streiner","year":"2015","unstructured":"Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use. USA: Oxford University Press; 2015."},{"key":"714_CR5","doi-asserted-by":"publisher","first-page":"1794","DOI":"10.1161\/CIRCULATIONAHA.116.023404","volume":"134","author":"JE Schwartz","year":"2016","unstructured":"Schwartz JE, Burg MM, Shimbo D, Broderick JE, Stone AA, Ishikawa J, et al. Clinic blood pressure underestimates ambulatory blood pressure in an untreated employer-based US population. Circulation. 2016;134:1794\u2013807.","journal-title":"Circulation"},{"key":"714_CR6","first-page":"1","volume":"00","author":"ES Izmailova","year":"2018","unstructured":"Izmailova ES, Wagner JA, Perakslis ED. Wearable devices in clinical trials: hype and hypothesis. Clin Pharmacol Ther. 2018;00:1\u201311.","journal-title":"Clin Pharmacol Ther"},{"key":"714_CR7","doi-asserted-by":"publisher","first-page":"1272","DOI":"10.1002\/mds.26642","volume":"31","author":"AJ Espay","year":"2016","unstructured":"Espay AJ, Bonato P, Nahab FB, Maetzler W, Dean JM, Klucken J, et al. Technology in Parkinson\u2019s disease: challenges and opportunities. Mov Disord. 2016;31:1272\u201382.","journal-title":"Mov Disord"},{"key":"714_CR8","volume-title":"CTTI RECOMMENDATIONS: DEVELOPING NOVEL ENDPOINTS GENERATED BY MOBILE TECHNOLOGY FOR USE IN CLINICAL TRIALS","author":"Clinical Trials Transformation Initiative","year":"2017","unstructured":"Clinical Trials Transformation Initiative. CTTI RECOMMENDATIONS: DEVELOPING NOVEL ENDPOINTS GENERATED BY MOBILE TECHNOLOGY FOR USE IN CLINICAL TRIALS. 2017. Available from: https:\/\/www.ctti-clinicaltrials.org\/files\/novelendpoints-recs.pdf"},{"key":"714_CR9","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1002\/mds.26718","volume":"31","author":"S Din Del","year":"2016","unstructured":"Del Din S, Godfrey A, Mazz\u00e0 C, Lord S, Rochester L. Free-living monitoring of Parkinson\u2019s disease: lessons from the field. Mov Disord. 2016;31:1293\u2013313.","journal-title":"Mov Disord"},{"key":"714_CR10","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1016\/j.parkreldis.2015.02.026","volume":"21","author":"S Arora","year":"2015","unstructured":"Arora S, Venkataraman V, Zhan A, Donohue S, Biglan KM, Dorsey ER, et al. Detecting and monitoring the symptoms of Parkinson\u2019s disease using smartphones: a pilot study. Park Relat Disord [internet]. Elsevier Ltd. 2015;21:650\u20133 Available from: https:\/\/doi.org\/10.1016\/j.parkreldis.2015.02.026 .","journal-title":"Elsevier Ltd"},{"key":"714_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12883-015-0343-z","volume":"15","author":"JJ Ferreira","year":"2015","unstructured":"Ferreira JJ, Godinho C, Santos AT, Domingos J, Abreu D, Lobo R, et al. Quantitative home-based assessment of Parkinson\u2019s symptoms: the SENSE-PARK feasibility and usability study. BMC Neurol [internet]. BMC Neurol. 2015;15:1\u20137 Available from: https:\/\/doi.org\/10.1186\/s12883-015-0343-z .","journal-title":"BMC Neurol"},{"key":"714_CR12","first-page":"1","volume":"12","author":"ALS Lima De","year":"2017","unstructured":"De Lima ALS, Hahn T, Evers LJW, De Vries NM, Cohen E, Afek M, et al. Feasibility of large-scale deployment of multiple wearable sensors in Parkinson\u2019s disease. PLoS One. 2017;12:1\u201315.","journal-title":"PLoS One"},{"key":"714_CR13","doi-asserted-by":"publisher","first-page":"160011","DOI":"10.1038\/sdata.2016.11","volume":"3","author":"BM Bot","year":"2016","unstructured":"Bot BM, Suver C, Neto EC, Kellen M, Klein A, Bare C, et al. The mPower study, Parkinson disease mobile data collected using ResearchKit. Sci Data. 2016;3:160011 Available from: http:\/\/www.nature.com\/articles\/sdata201611 .","journal-title":"Sci Data"},{"key":"714_CR14","unstructured":"Zhan A, Little MA, Harris DA, Abiola SO, Dorsey ER, Saria S, et al. High Frequency Remote Monitoring of Parkinson\u2019s Disease via Smartphone: Platform Overview and Medication Response Detection 2016;1\u201312. Available from: http:\/\/arxiv.org\/abs\/1601.00960"},{"key":"714_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41531-016-0003-z","volume":"2017","author":"R Lakshminarayana","year":"2016","unstructured":"Lakshminarayana R, Wang D, Burn D, Chaudhuri KR, Galtrey C, Guzman NV, et al. Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson \u2019s disease. Npj Park dis. 2016;2017:1\u20138 Available from: https:\/\/doi.org\/10.1038\/s41531-016-0003-z .","journal-title":"Npj Park dis"},{"key":"714_CR16","doi-asserted-by":"publisher","first-page":"e172","DOI":"10.2196\/resprot.5990","volume":"5","author":"AL Silva de Lima","year":"2016","unstructured":"Silva de Lima AL, Hahn T, de Vries NM, Cohen E, Bataille L, Little MA, et al. Large-Scale Wearable Sensor Deployment in Parkinson\u2019s Patients: The Parkinson@Home Study Protocol. JMIR Res Protoc. 2016;5:e172 Available from: http:\/\/www.researchprotocols.org\/2016\/3\/e172\/ .","journal-title":"JMIR Res Protoc"},{"key":"714_CR17","doi-asserted-by":"crossref","unstructured":"Dinesh K, Xiong M, Adams J, Dorsey R, Sharma G. Signal analysis for detecting motor symptoms in Parkinson\u2019s and Huntington\u2019s disease using multiple body-affixed sensors: A pilot study. Signal Process Work (WNYISPW), 2016 IEEE West New York Image. 2016:1\u20135.","DOI":"10.1109\/WNYIPW.2016.7904834"},{"key":"714_CR18","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1159\/000479018","volume":"1","author":"JL Adams","year":"2017","unstructured":"Adams JL, Dinesh K, Xiong M, Tarolli CG, Sharma S, Sheth N, et al. Multiple wearable sensors in Parkinson and Huntington disease individuals: a pilot study in clinic and at home. Digit Biomarkers Karger Publishers. 2017;1:52\u201363.","journal-title":"Digit Biomarkers Karger Publishers"},{"key":"714_CR19","doi-asserted-by":"publisher","first-page":"199","DOI":"10.3233\/JHD-160197","volume":"5","author":"KL Andrzejewski","year":"2016","unstructured":"Andrzejewski KL, Dowling AV, Stamler D, Felong TJ, Harris DA, Wong C, et al. Wearable sensors in Huntington disease: a pilot study. J Huntingtons Dis IOS Press. 2016;5:199\u2013206.","journal-title":"J Huntingtons Dis IOS Press"},{"key":"714_CR20","doi-asserted-by":"crossref","unstructured":"Baig MM, GholamHosseini H, Moqeem AA, Mirza F, Lind\u00e9n M. A Systematic Review of Wearable Patient Monitoring Systems \u2013 Current Challenges and Opportunities for Clinical Adoption. J Med Syst. 2017:41.","DOI":"10.1007\/s10916-017-0760-1"},{"key":"714_CR21","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1056\/NEJMra050100","volume":"353","author":"L Osterberg","year":"2005","unstructured":"Osterberg L, Blaschke T. Koop \u2014 C Everett. Adherence to medication. N Engl J Med. 2005;353:487\u201397.","journal-title":"N Engl J Med"},{"key":"714_CR22","doi-asserted-by":"publisher","first-page":"20","DOI":"10.21037\/mhealth.2016.04.02","volume":"2","author":"S Cohen","year":"2016","unstructured":"Cohen S, Bataille LR, Martig AK. Enabling breakthroughs in Parkinson\u2019s disease with wearable technologies and big data analytics. mHealth. 2016;2:20 Available from: http:\/\/mhealth.amegroups.com\/article\/view\/10369\/10988 .","journal-title":"mHealth"},{"key":"714_CR23","doi-asserted-by":"crossref","unstructured":"Daeschler M, Elm J, Klintworth E, Afek M, Lazar S, Simuni T. Clinician-Input Study (CIS-PD): how the Fox Wearable Companion Application can influence treatment and care in Parkinson{\\textquoteright}s disease (P3.048). Neurology. Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. 2018:90 Available from: http:\/\/n.neurology.org\/content\/90\/15_Supplement\/P3.048 .","DOI":"10.1212\/WNL.90.15_supplement.P3.048"},{"key":"714_CR24","doi-asserted-by":"publisher","first-page":"1114","DOI":"10.1136\/bmj.39553.670231.25","volume":"336","author":"B Vrijens","year":"2008","unstructured":"Vrijens B, Vincze G, Kristanto P, Urquhart J, Burnier M. Adherence to prescribed antihypertensive drug treatments: longitudinal study of electronically compiled dosing histories. BMJ. 2008;336:1114\u20137.","journal-title":"BMJ"}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-018-0714-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12911-018-0714-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-018-0714-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,13]],"date-time":"2024-07-13T14:29:06Z","timestamp":1720880946000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-018-0714-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["714"],"URL":"https:\/\/doi.org\/10.1186\/s12911-018-0714-7","relation":{},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12]]},"assertion":[{"value":"2 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 November 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The CIS-PD study protocol and informed consent was approved by the local (Institutional Review Board) IRB committees at each site. The specific four IRBs were: University of Cincinnati Institutional Review Board, University of Alabama at Birmingham Institutional Review Board 01, University of Rochester Research Subjects Review Board, and the Northwestern University Institutional Review Board.The HD study protocol was approved by relevant site ethics committees and institutional review boards (Western IRB and Chairperson Bert Wilkins, JD, MHA IRB00000533, Puyallup, Washington US; Wake Forest University Health Sciences IRB and Chairperson Sally Bulla, PhD, RN FWA00001732, Winston-Salem, NC US; Georgetown University IRB and Chairperson Charbel Moussa, MD, PhD FWA00001080, Washington DC US; Columbia University IRB and Chairperson Elaine Larson, PhD, RN FWA00002636, New York NY US; Ethikkommission der Medizinischen Universitaet and Chairperson Reinhard Putz, Professor, Dr., Innsbruck Austria; East Midlands - Leicester South Research Ethics Committee and Chairperson John Aldridge, Nottingham UK; Ethik-Kommission der \u00c4rztekammer Westfalen-Lippe und der medizinischen Fakultat der WWU and Chairperson Wolfgang E Berdel, Professor, Dr. med, Rechtsmedizin Germany). Written informed consent was obtained from each patient before any study procedures or assessments were done. These analyses were conducted in accordance with the protocol of the observational sub-study within Study TV7820-CNS-20016 (Open PRIDE-HD) and with the International Conference for Harmonisation Guidelines for Good Clinical Practice, the Declaration of Helsinki, and relevant national and local regulations.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"SC and ZW are Intel employees. MFG, IDG, LNP, SF, IG, SP, and J-MS are or were Teva Pharmaceuticals employees during the course of the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"138"}}