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

Wearable Devices and Sensors (703) New Methods (748) Methods and Feasibility Studies (321) Ecological Momentary Assessment (EMA) (265) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1118)

Published on in Vol 7 , No 12 (2019) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13671, first published .
Use of Mobile Health Apps and Wearable Technology to Assess Changes and Predict Pain During Treatment of Acute Pain in Sickle Cell Disease: Feasibility Study

Use of Mobile Health Apps and Wearable Technology to Assess Changes and Predict Pain During Treatment of Acute Pain in Sickle Cell Disease: Feasibility Study

Use of Mobile Health Apps and Wearable Technology to Assess Changes and Predict Pain During Treatment of Acute Pain in Sickle Cell Disease: Feasibility Study

Authors of this article:

Amanda Johnson 1 Author Orcid Image ;   Fan Yang 2 Author Orcid Image ;   Siddharth Gollarahalli 3 Author Orcid Image ;   Tanvi Banerjee 2 Author Orcid Image ;   Daniel Abrams 4 Author Orcid Image ;   Jude Jonassaint 5 Author Orcid Image ;   Charles Jonassaint 5 Author Orcid Image ;   Nirmish Shah 6 Author Orcid Image
Article Authors Cited by (20) Tweetations (9) Metrics

Journals

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  7. Shah A, O’Dwyer L, Badawy S. Telemedicine in Malignant and Nonmalignant Hematology: Systematic Review of Pediatric and Adult Studies. JMIR mHealth and uHealth 2021;9(7):e29619 View
  8. Ng Z, Ling L, Chew H, Lau Y. The role of artificial intelligence in enhancing clinical nursing care: A scoping review. Journal of Nursing Management 2022;30(8):3654 View
  9. Leroux A, Rzasa-Lynn R, Crainiceanu C, Sharma T. Wearable Devices: Current Status and Opportunities in Pain Assessment and Management. Digital Biomarkers 2021;5(1):89 View
  10. Padhee S, Nave Jr G, Banerjee T, Abrams D, Shah N. Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study. JMIR Formative Research 2022;6(6):e36998 View
  11. Stojancic R, Subramaniam A, Vuong C, Utkarsh K, Golbasi N, Fernandez O, Shah N. Predicting Pain in People With Sickle Cell Disease in the Day Hospital Using the Commercial Wearable Apple Watch: Feasibility Study. JMIR Formative Research 2023;7:e45355 View
  12. Wickersham K, Dawson R, Becker K, Everhart K, Miles H, Schultz B, Tucker C, Wright P, Jenerette C. Experiences of African Americans Living With Sickle Cell Disease. Journal of Transcultural Nursing 2022;33(3):334 View
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  14. Somani S, Yu K, Chiu A, Sykes K, Villwock J. Consumer Wearables for Patient Monitoring in Otolaryngology: A State of the Art Review. Otolaryngology–Head and Neck Surgery 2022;167(4):620 View
  15. Connelly M, Lee R. Technology to Assess and Treat Pain in Pediatric Rheumatology. Rheumatic Disease Clinics of North America 2022;48(1):31 View
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  17. Gao X, Xin X, Li Z, Zhang W. Predicting postoperative pain following root canal treatment by using artificial neural network evaluation. Scientific Reports 2021;11(1) View
  18. Fernandez Rojas R, Brown N, Waddington G, Goecke R. A systematic review of neurophysiological sensing for the assessment of acute pain. npj Digital Medicine 2023;6(1) View

Books/Policy Documents

  1. Issom D. Sickle Cell Disease. View