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

Formative Evaluation of Digital Health Interventions (2415) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) mHealth for Wellness, Behavior Change and Prevention (2873) Mobile Health (mhealth) (2943) Digital Pain Assessment and Management (164)

Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34339, first published .
Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale

Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale

Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale

Authors of this article:

Jonathon M R Agnew1 Author Orcid Image ;   Chris Nugent2 Author Orcid Image ;   Catherine E Hanratty1 Author Orcid Image ;   Elizabeth Martin2 Author Orcid Image ;   Daniel P Kerr1 Author Orcid Image ;   Joseph G McVeigh3 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Tahmaz T, Demircioğlu G, Genc H, Kuran Aslan G. Investigation of the Effect of Conventional Treatment on Postural Stability and Balance in Individuals with Shoulder Pain. Interventional Pain Medicine and Neuromodulation 2023;3(1) View
  2. Simmich J, Ross M, Andrews N, Vaezipour A, Russell T. Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation. JMIR mHealth and uHealth 2023;11:e46881 View
  3. Pandey M, Litoriya R, Pandey P. Investigating and prioritising different issues in wearable apps: An spherical Fuzzy-DEMATEL approach. Multimedia Tools and Applications 2024;83(4):10061 View