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

mHealth for Data Collection and Research (981) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (505) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Usability of Apps and User Perceptions of mHealth (993) mHealth for Wellness, Behavior Change and Prevention (2922) Neurotechnology in Clinical Studies (15)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31877, first published .
Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies

Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies

Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies

Authors of this article:

Anna L Beukenhorst1, 2 Author Orcid Image ;   Katherine M Burke3 Author Orcid Image ;   Zoe Scheier3 Author Orcid Image ;   Timothy M Miller4 Author Orcid Image ;   Sabrina Paganoni3, 5 Author Orcid Image ;   Mackenzie Keegan3 Author Orcid Image ;   Ella Collins3 Author Orcid Image ;   Kathryn P Connaghan6 Author Orcid Image ;   Anna Tay4 Author Orcid Image ;   James Chan7 Author Orcid Image ;   James D Berry3 Author Orcid Image ;   Jukka-Pekka Onnela1 Author Orcid Image
Article Authors Cited by (10) Tweetations (9) Metrics

Journals

  1. Geronimo A. Remote patient monitoring in neuromuscular disease. Muscle & Nerve 2022;66(3):233 View
  2. Meyer T, Spittel S, Grehl T, Weyen U, Steinbach R, Kettemann D, Petri S, Weydt P, Günther R, Baum P, Schlapakow E, Koch J, Boentert M, Wolf J, Grosskreutz J, Rödiger A, Ilse B, Metelmann M, Norden J, Koc R, Körtvélyessy P, Riitano A, Walter B, Hildebrandt B, Schaudinn F, Münch C, Maier A. Remote digital assessment of amyotrophic lateral sclerosis functional rating scale – a multicenter observational study. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2023;24(3-4):175 View
  3. Beukenhorst A, Druce K, De Cock D. Smartphones for musculoskeletal research – hype or hope? Lessons from a decennium of mHealth studies. BMC Musculoskeletal Disorders 2022;23(1) View
  4. Johnson S, Karas M, Burke K, Straczkiewicz M, Scheier Z, Clark A, Iwasaki S, Lahav A, Iyer A, Onnela J, Berry J. Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures. npj Digital Medicine 2023;6(1) View
  5. Walk D, Nicholson K, Locatelli E, Chan J, Macklin E, Ferment V, Manousakis G, Chase M, Connolly M, Dagostino D, Hall M, Ostrow J, Pothier L, Lieberman C, Gelevski D, Randall R, Sherman A, Steinhart E, Walker D, Walker J, Yu H, Wills A, Schwarzschild M, Beukenhorst A, Onnela J, Berry J, Cudkowicz M, Paganoni S. Randomized trial of inosine for urate elevation in amyotrophic lateral sclerosis. Muscle & Nerve 2023;67(5):378 View
  6. French M, Keatley E, Li J, Balasubramanian A, Hansel N, Wise R, Searson P, Singh A, Raghavan P, Wegener S, Roemmich R, Celnik P. The feasibility of remotely monitoring physical, cognitive, and psychosocial function in individuals with stroke or chronic obstructive pulmonary disease. DIGITAL HEALTH 2023;9 View
  7. Taylor J, Heuer H, Clark A, Wise A, Manoochehri M, Forsberg L, Mester C, Rao M, Brushaber D, Kramer J, Welch A, Kornak J, Kremers W, Appleby B, Dickerson B, Domoto‐Reilly K, Fields J, Ghoshal N, Graff‐Radford N, Grossman M, Hall M, Huey E, Irwin D, Lapid M, Litvan I, Mackenzie I, Masdeu J, Mendez M, Nevler N, Onyike C, Pascual B, Pressman P, Rankin K, Ratnasiri B, Rojas J, Tartaglia M, Wong B, Gorno‐Tempini M, Boeve B, Rosen H, Boxer A, Staffaroni A. Feasibility and acceptability of remote smartphone cognitive testing in frontotemporal dementia research. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2023;15(2) View
  8. Karas M, Olsen J, Straczkiewicz M, Johnson S, Burke K, Iwasaki S, Lahav A, Scheier Z, Clark A, Iyer A, Huang E, Berry J, Onnela J. Tracking amyotrophic lateral sclerosis disease progression using passively collected smartphone sensor data. Annals of Clinical and Translational Neurology 2024;11(6):1380 View
  9. Berry J, Paganoni S, Harms M, Shneider N, Andrews J, Miller T, Babu S, Sherman A, Harris B, Provenzano F, Phatnani H, Shefner J, Garret M, Ladha S, Tsou A, Mohan P, Igne C, Bowser R. Access for ALL in ALS: A large‐scale, inclusive, collaborative consortium to unlock the molecular and genetic mechanisms of amyotrophic lateral sclerosis. Muscle & Nerve 2024;70(6):1140 View
  10. Yi L, Hart J, Straczkiewicz M, Karas M, Wilt G, Hu C, Librett R, Laden F, Chavarro J, Onnela J, James P. Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults. JMIR Public Health and Surveillance 2024;10:e55170 View