Accessibility settings

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

mHealth for Data Collection and Research (1720) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2367) Evaluation and Research Methodology for mHealth (395) Digital Pain Assessment and Management (320)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48582, first published .
Woman with back pain at a desk, demonstrating poor posture

Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis

Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis

Authors of this article:

Claire L Little1 Author Orcid Image ;   David M Schultz2, 3 Author Orcid Image ;   Thomas House4 Author Orcid Image ;   William G Dixon1, 5 Author Orcid Image ;   John McBeth1, 5, 6 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Simons L. Validation of ICD-11 chronic pain severity specifiers for children and adolescents: an important step forward. Pain 2025;166(9):1957 View
  2. Kim H. Statistical Validation of Unsupervised Clustering for Adolescent TMD: A Cross‐Sectional Study. Oral Diseases 2025;31(8):2596 View
  3. Hsu T, Yimer B, Whelan P, Armitage C, Druce K, McBeth J. Associations Between Daily Symptoms and Pain Flares in Rheumatoid Arthritis: Case-Crossover mHealth Study. JMIR mHealth and uHealth 2025;13:e64889 View
  4. Kerckhove N, Soubeiga A, Phalip J, Bertin C, Doreau B, Moisset X, Delage N, Authier N, Antoine V, Pereira B. Digital Monitoring and Chronic Pain Trajectories in Patients Receiving Tertiary Pain Care. JAMA Network Open 2026;9(8):e2627217 View