This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (981) Ethics, Privacy, and Legal Issues (494)

Published on in Vol 5, No 2 (2017): February

Formative Evaluation of Participant Experience With Mobile eConsent in the App-Mediated Parkinson mPower Study: A Mixed Methods Study

Formative Evaluation of Participant Experience With Mobile eConsent in the App-Mediated Parkinson mPower Study: A Mixed Methods Study

Formative Evaluation of Participant Experience With Mobile eConsent in the App-Mediated Parkinson mPower Study: A Mixed Methods Study

Authors of this article:

Megan Doerr1 Author Orcid Image ;   Amy Maguire Truong1 Author Orcid Image ;   Brian M Bot1 Author Orcid Image ;   John Wilbanks1 Author Orcid Image ;   Christine Suver1 Author Orcid Image ;   Lara M Mangravite1 Author Orcid Image
Article Authors Cited by (51) Tweetations (22) Metrics

Journals

  1. Sverdlov O, van Dam J, Hannesdottir K, Thornton‐Wells T. Digital Therapeutics: An Integral Component of Digital Innovation in Drug Development. Clinical Pharmacology & Therapeutics 2018;104(1):72 View
  2. Lang M, Knoppers B, Zawati M. International mHealth Research: Old Tools and New Challenges. Journal of Law, Medicine & Ethics 2020;48(S1):178 View
  3. Inomata T, Sung J, Nakamura M, Fujisawa K, Muto K, Ebihara N, Iwagami M, Fujio K, Okumura Y, Okano M, Murakami A. New medical big data for P4 medicine on allergic conjunctivitis. Allergology International 2020;69(4):510 View
  4. Skelton E, Drey N, Rutherford M, Ayers S, Malamateniou C. Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting. International Journal of Medical Informatics 2020;143:104271 View
  5. Kvedar J, Fogel A. mHealth advances clinical research, bit by bit. Nature Biotechnology 2017;35(4):337 View
  6. Jayasinghe N, Moallem B, Kakoullis M, Ojie M, Sar-Graycar L, Wyka K, Reid M, Leonard J. Establishing the Feasibility of a Tablet-Based Consent Process with Older Adults: A Mixed-Methods Study. The Gerontologist 2019;59(1):124 View
  7. Lucivero F, Jongsma K. A mobile revolution for healthcare? Setting the agenda for bioethics. Journal of Medical Ethics 2018;44(10):685 View
  8. Riggare S, Hägglund M. Precision Medicine in Parkinson’s Disease – Exploring Patient-Initiated Self-Tracking. Journal of Parkinson’s Disease 2018;8(3):441 View
  9. Bot B, Wilbanks J, Mangravite L. Assessing the consequences of decentralizing biomedical research. Big Data & Society 2019;6(1) View
  10. Moore S, Tassé A, Thorogood A, Winship I, Zawati M, Doerr M. Consent Processes for Mobile App Mediated Research: Systematic Review. JMIR mHealth and uHealth 2017;5(8):e126 View
  11. McGowan C, Houlihan C, Kingori P, Glynn J. The Acceptability of Online Consent in a Self-Test Serosurvey of Responders to the 2014–2016 West African Ebola Outbreak. Public Health Ethics 2018;11(2):201 View
  12. Tobore I, Li J, Yuhang L, Al-Handarish Y, Kandwal A, Nie Z, Wang L. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations. JMIR mHealth and uHealth 2019;7(8):e11966 View
  13. Gold M, Amatniek J, Carrillo M, Cedarbaum J, Hendrix J, Miller B, Robillard J, Rice J, Soares H, Tome M, Tarnanas I, Vargas G, Bain L, Czaja S. Digital technologies as biomarkers, clinical outcomes assessment, and recruitment tools in Alzheimer's disease clinical trials. Alzheimer's & Dementia: Translational Research & Clinical Interventions 2018;4(1):234 View
  14. Geerts H, Wikswo J, van der Graaf P, Bai J, Gaiteri C, Bennett D, Swalley S, Schuck E, Kaddurah‐Daouk R, Tsaioun K, Pelleymounter M. Quantitative Systems Pharmacology for Neuroscience Drug Discovery and Development: Current Status, Opportunities, and Challenges. CPT: Pharmacometrics & Systems Pharmacology 2020;9(1):5 View
  15. Pilozzi A, Huang X. Overcoming Alzheimer’s Disease Stigma by Leveraging Artificial Intelligence and Blockchain Technologies. Brain Sciences 2020;10(3):183 View
  16. Campbell L, Paolillo E, Bryan R, Marquie-Beck J, Moore D, Nebeker C, Moore R. Informing Informed Consent for HIV Research. Journal of Empirical Research on Human Research Ethics 2020;15(4):235 View
  17. Schmitz H, Howe C, Armstrong D, Subbian V. Leveraging mobile health applications for biomedical research and citizen science: a scoping review. Journal of the American Medical Informatics Association 2018;25(12):1685 View
  18. Bell S, Merola J, Webster D, Pennington S, Liao W, Ogdie A, FitzGerald O, Ritchlin C, Scher J. Aiming for Cure and Preventive Initiatives in Psoriatic Disease: Building Synergy at NPF, GRAPPA, and PPACMAN. Current Rheumatology Reports 2020;22(11) View
  19. Nebeker C, Leow A, Moore R. From Return of Information to Return of Value: Ethical Considerations when Sharing Individual-Level Research Data. Journal of Alzheimer's Disease 2019;71(4):1081 View
  20. Inomata T, Sung J, Nakamura M, Iwagami M, Okumura Y, Iwata N, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Nagino K, Fujio K, Miura M, Shokirova H, Murakami A. Using Medical Big Data to Develop Personalized Medicine for Dry Eye Disease. Cornea 2020;39(1):S39 View
  21. Marquis-Gravel G, Robertson H, Jones W, Riley D, Ford D, Crenshaw D, Joosten Y, Rudov L, Hernandez A, Hess R. Streamlining the institutional review board process in pragmatic randomized clinical trials: challenges and lessons learned from the Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-Term Effectiveness (ADAPTABLE) trial. Trials 2021;22(1) View
  22. Pung J, Rienhoff O. Key components and IT assistance of participant management in clinical research: a scoping review. JAMIA Open 2020;3(3):449 View
  23. Pratap A, Grant D, Vegesna A, Tummalacherla M, Cohan S, Deshpande C, Mangravite L, Omberg L. Evaluating the Utility of Smartphone-Based Sensor Assessments in Persons With Multiple Sclerosis in the Real-World Using an App (elevateMS): Observational, Prospective Pilot Digital Health Study. JMIR mHealth and uHealth 2020;8(10):e22108 View
  24. Rosa C, Marsch L, Winstanley E, Brunner M, Campbell A. Using digital technologies in clinical trials: Current and future applications. Contemporary Clinical Trials 2021;100:106219 View
  25. Doerr M, Moore S, Barone V, Sutherland S, Bot B, Suver C, Wilbanks J. Assessment of theAll of Usresearch program’s informed consent process. AJOB Empirical Bioethics 2021;12(2):72 View
  26. De Sutter E, Zaçe D, Boccia S, Di Pietro M, Geerts D, Borry P, Huys I. Implementation of Electronic Informed Consent in Biomedical Research and Stakeholders’ Perspectives: Systematic Review. Journal of Medical Internet Research 2020;22(10):e19129 View
  27. Bookman R, Cimino J, Harle C, Kost R, Mooney S, Pfaff E, Rojevsky S, Tobin J, Wilcox A, Tsinoremas N. Research informatics and the COVID-19 pandemic: Challenges, innovations, lessons learned, and recommendations. Journal of Clinical and Translational Science 2021;5(1) View
  28. Nebeker C, Gholami M, Kareem D, Kim E. Applying a Digital Health Checklist and Readability Tools to Improve Informed Consent for Digital Health Research. Frontiers in Digital Health 2021;3 View
  29. Omberg L, Chaibub Neto E, Perumal T, Pratap A, Tediarjo A, Adams J, Bloem B, Bot B, Elson M, Goldman S, Kellen M, Kieburtz K, Klein A, Little M, Schneider R, Suver C, Tarolli C, Tanner C, Trister A, Wilbanks J, Dorsey E, Mangravite L. Remote smartphone monitoring of Parkinson’s disease and individual response to therapy. Nature Biotechnology 2022;40(4):480 View
  30. Kassam I, Ilkina D, Kemp J, Roble H, Carter-Langford A, Shen N. Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review. Journal of Medical Internet Research 2023;25:e42507 View
  31. Goldsack J, Dowling A, Samuelson D, Patrick-Lake B, Clay I. Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint. Digital Biomarkers 2021;5(1):53 View
  32. Weissler E, Naumann T, Andersson T, Ranganath R, Elemento O, Luo Y, Freitag D, Benoit J, Hughes M, Khan F, Slater P, Shameer K, Roe M, Hutchison E, Kollins S, Broedl U, Meng Z, Wong J, Curtis L, Huang E, Ghassemi M. The role of machine learning in clinical research: transforming the future of evidence generation. Trials 2021;22(1) View
  33. Nebeker C. mHealth Research Applied to Regulated and Unregulated Behavioral Health Sciences. Journal of Law, Medicine & Ethics 2020;48(S1):49 View
  34. Chaibub Neto E, Perumal T, Pratap A, Tediarjo A, Bot B, Mangravite L, Omberg L, Benetreau Y. Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies. PLOS ONE 2022;17(8):e0271766 View
  35. Loosman I, Nickel P. Towards a Design Toolkit of Informed Consent Models Across Fields: A Systematic Review. Science and Engineering Ethics 2022;28(5) View
  36. De Sutter E, Verreydt S, Yskout K, Geerts D, Borry P, Outtier A, Ferrante M, Vandermeulen C, Vanmechelen N, Van der Schueren B, Huys I. Using provocative design to foster electronic informed consent innovation. BMC Medical Informatics and Decision Making 2022;22(1) View
  37. Rowan W, O'Connor Y, Lynch L, Heavin C. Comprehension, Perception, and Projection. Journal of Organizational and End User Computing 2021;33(6):1 View
  38. Nyholm Gaarskjær A, Crookshanks Duroux M, Hogreffe R. Participant comprehension and perspectives regarding the convenience, security, and satisfaction with teleconsent compared to in-person consent: A parallel-group pilot study among Danish citizens. Contemporary Clinical Trials Communications 2022;28:100927 View
  39. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  40. Sieberts S, Burn A, Carey E, Carlson S, Fernandes B, Kalha J, Lindani S, Marten C, Neelakantan L, Ranganathan S, Sams N, Scanlan E, Shah H, Sumant S, Suver C, Tummalacherla M, Velloza J, Areán P, Collins P, Fazel M, Ford T, Freeman M, Pathare S, Zingela Z, Doerr M. Targeted recruitment and the role of choice in the engagement of youth in a randomised smartphone-based mental health study in India, South Africa, and the UK: results from the MindKind Study. Wellcome Open Research 2023;8:334 View
  41. Rothstein M. Should Chatbots Be Used to Obtain Informed Consent for Research?. Ethics & Human Research 2023;45(6):46 View
  42. McInnis B, Pindus R, Kareem D, Gamboa S, Nebeker C. Exploring the Future of Informed Consent: Applying a Service Design Approach. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  43. Grant A, Wolf G, Nebeker C. Approaches to governance of participant-led research: a qualitative case study. BMJ Open 2019;9(4):e025633 View
  44. Rodriguez-Patarroyo M, Torres-Quintero A, Vecino-Ortiz A, Hallez K, Franco-Rodriguez A, Rueda Barrera E, Puerto S, Gibson D, Labrique A, Pariyo G, Ali J. Informed Consent for Mobile Phone Health Surveys in Colombia: A Qualitative Study. Journal of Empirical Research on Human Research Ethics 2021;16(1-2):24 View
  45. McInnis B, Pindus R, Kareem D, Nebeker C. Considerations for the Design of Informed Consent in Digital Health Research: Participant Perspectives. Journal of Empirical Research on Human Research Ethics 2024;19(4-5):175 View
  46. Tougui I, Zakroum M, Karrakchou O, Ghogho M. Transformer-based transfer learning on self-reported voice recordings for Parkinson’s disease diagnosis. Scientific Reports 2024;14(1) View

Books/Policy Documents

  1. McRae L, Ellis K, Kent M, Locke K. Second International Handbook of Internet Research. View
  2. Belciug S, Gorunescu F. Intelligent Decision Support Systems—A Journey to Smarter Healthcare. View
  3. McRae L, Ellis K, Kent M, Locke K. Second International Handbook of Internet Research. View
  4. Mishra A, Mohapatra S, Bisoy S. Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. View