Impact of automated data flow and reminders on adherence and resource utilization for remotely monitoring physical activity in individuals with stroke or chronic obstructive pulmonary disease.

Autor: French MA; Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, Utah, United States of America., Balasubramanian A; Department of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America., Hansel NN; Department of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America., Penttinen SK; inHealth Precision Medicine Program, Technology Innovation Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America., Wise R; inHealth Precision Medicine Program, Technology Innovation Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America., Raghavan P; Department of Physical Medicine and Rehabilitation, Johns Hopkins University, Baltimore, Maryland, United States of America., Wegener ST; Department of Physical Medicine and Rehabilitation, Johns Hopkins University, Baltimore, Maryland, United States of America., Roemmich RT; Department of Physical Medicine and Rehabilitation, Johns Hopkins University, Baltimore, Maryland, United States of America.; Center for Movement Studies, Kennedy Krieger Institute, Baltimore, Maryland, United States of America., Celnik PA; Department of Physical Medicine and Rehabilitation, Johns Hopkins University, Baltimore, Maryland, United States of America.

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2024 Apr 18. Date of Electronic Publication: 2024 Apr 18.