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

Formative Evaluation of Digital Health Interventions (2852) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1590) mHealth for Data Collection and Research (1088)

Published on in Vol 6, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23657, first published .
Association Between Step Count Measured With a Smartphone App (Pain-Note) and Pain Level in Patients With Chronic Pain: Observational Study

Association Between Step Count Measured With a Smartphone App (Pain-Note) and Pain Level in Patients With Chronic Pain: Observational Study

Association Between Step Count Measured With a Smartphone App (Pain-Note) and Pain Level in Patients With Chronic Pain: Observational Study

Authors of this article:

Takahisa Ogawa1 Author Orcid Image ;   Luis Castelo-Branco2 Author Orcid Image ;   Kotaro Hatta3 Author Orcid Image ;   Chie Usui3 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Edgley K, Horne A, Saunders P, Tsanas A. Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects. Cell Reports Medicine 2023;4(9):101192 View
  2. Pasqualini I, Piuzzi N. Patient-Reported Outcome Measures: State of the Art in Patient-Reported Outcome Measure Application in Lower Extremity Orthopaedics. Journal of the American Academy of Orthopaedic Surgeons 2023;31(20):e883 View
  3. Ayena J, Bouayed A, Ben Arous M, Ouakrim Y, Loulou K, Ameyed D, Savard I, El Kamel L, Mezghani N. Predicting chronic pain using wearable devices: a scoping review of sensor capabilities, data security, and standards compliance. Frontiers in Digital Health 2025;7 View