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

mHealth in a Clinical Setting (615) Research Instruments, Questionnaires, and Tools (576) Focus Groups and Qualitative Research for Human Factors Research (851) mHealth for Data Collection and Research (955) Pain in Children and Adolescents (40)

Published on in Vol 7, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12952, first published .
“Seeing Pain Differently”: A Qualitative Investigation Into the Differences and Similarities of Pain and Rheumatology Specialists’ Interpretation of Multidimensional Mobile Health Pain Data From Children and Young People With Juvenile Idiopathic Arthritis

“Seeing Pain Differently”: A Qualitative Investigation Into the Differences and Similarities of Pain and Rheumatology Specialists’ Interpretation of Multidimensional Mobile Health Pain Data From Children and Young People With Juvenile Idiopathic Arthritis

“Seeing Pain Differently”: A Qualitative Investigation Into the Differences and Similarities of Pain and Rheumatology Specialists’ Interpretation of Multidimensional Mobile Health Pain Data From Children and Young People With Juvenile Idiopathic Arthritis

Authors of this article:

Rebecca Rachael Lee1, 2 Author Orcid Image ;   Amir Rashid2, 3 Author Orcid Image ;   Daniela Ghio4 Author Orcid Image ;   Wendy Thomson5 Author Orcid Image ;   Lis Cordingley6 Author Orcid Image
Article Authors Cited by (8) Tweetations (24) Metrics

Journals

  1. Zahid M, Gallant N, Hadjistavropoulos T, Stroulia E. Behavioral Pain Assessment Implementation in Long-Term Care Using a Tablet App: Case Series and Quasi-Experimental Design. JMIR mHealth and uHealth 2020;8(4):e17108 View
  2. Lee R, Shoop-Worrall S, Rashid A, Thomson W, Cordingley L. “Asking Too Much?”: Randomized N-of-1 Trial Exploring Patient Preferences and Measurement Reactivity to Frequent Use of Remote Multidimensional Pain Assessments in Children and Young People With Juvenile Idiopathic Arthritis. Journal of Medical Internet Research 2020;22(1):e14503 View
  3. Ajayi T, Salongo L, Zang Y, Wineinger N, Steinhubl S. Mobile Health-Collected Biophysical Markers in Children with Serious Illness-Related Pain. Journal of Palliative Medicine 2021;24(4):580 View
  4. Toupin-April K, Huber A, Duffy C, Proulx L, Morgan E, Cohen J, Gaboury I, Li L, Tugwell P, Stinson J, Couchman D, Berbatovci F, Boyd A, Sachs H, Sirois A, Sivakumar A, Ragusa M, El Hindi T, Stringer E, Cavallo S, Ueffing E, Gibbon M, Fortin P, Brinkman W, Connelly M, Weiss J, Gmuca S, Décary S. Development and Acceptability of a Patient Decision Aid for Pain Management in Juvenile Idiopathic Arthritis: The JIA Option Map. The Patient - Patient-Centered Outcomes Research 2020;13(6):719 View
  5. Ensari I, Lipsky-Gorman S, Horan E, Bakken S, Elhadad N. Associations between physical exercise patterns and pain symptoms in individuals with endometriosis: a cross-sectional mHealth-based investigation. BMJ Open 2022;12(7):e059280 View
  6. Butler S, Sculley D, Santos D, Fellas A, Gironès X, Singh-Grewal D, Coda A. Effectiveness of eHealth and mHealth Interventions Supporting Children and Young People Living With Juvenile Idiopathic Arthritis: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2022;24(2):e30457 View
  7. Connelly M, Lee R. Technology to Assess and Treat Pain in Pediatric Rheumatology. Rheumatic Disease Clinics of North America 2022;48(1):31 View
  8. Lee R, McDonagh J, Connelly M, Peters S, Cordingley L. Identifying the content and context of pain within paediatric rheumatology healthcare professional curricula in the UK: a summative content analysis. Pediatric Rheumatology 2021;19(1) View