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

Research Instruments, Questionnaires, and Tools (576) Visualization in eHealth (58)

Published on in Vol 20, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10056, first published .
Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study

Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study

Abstract Animations for the Communication and Assessment of Pain in Adults: Cross-Sectional Feasibility Study

Authors of this article:

Charles R Jonassaint1 Author Orcid Image ;   Nema Rao2 Author Orcid Image ;   Alex Sciuto2 Author Orcid Image ;   Galen E Switzer3, 4, 5, 6 Author Orcid Image ;   Laura De Castro7 Author Orcid Image ;   Gregory J Kato7 Author Orcid Image ;   Jude C Jonassaint7 Author Orcid Image ;   Zakia Hammal8 Author Orcid Image ;   Nirmish Shah9 Author Orcid Image ;   Ajay Wasan10 Author Orcid Image
Article Authors Cited by (10) Tweetations (33) Metrics

Journals

  1. Llorens-Vernet P, Miró J. Standards for Mobile Health–Related Apps: Systematic Review and Development of a Guide. JMIR mHealth and uHealth 2020;8(3):e13057 View
  2. Jonassaint C. If you Can’t Assess It, How Can you Treat It? Improving Pain Management in Sickle Cell Disease. Journal of Emergency Nursing 2021;47(1):10 View
  3. Badawy S, Abebe K, Reichman C, Checo G, Hamm M, Stinson J, Lalloo C, Carroll P, Saraf S, Gordeuk V, Desai P, Shah N, Liles D, Trimnell C, Jonassaint C. Comparing the Effectiveness of Education Versus Digital Cognitive Behavioral Therapy for Adults With Sickle Cell Disease: Protocol for the Cognitive Behavioral Therapy and Real-time Pain Management Intervention for Sickle Cell via Mobile Applications (CaRISMA) Study. JMIR Research Protocols 2021;10(5):e29014 View
  4. Zhang S, Liu X, Yang X, Shu Y, Liu N, Zhang D, Liu Y. The Influence of Key Facial Features on Recognition of Emotion in Cartoon Faces. Frontiers in Psychology 2021;12 View
  5. Rivas J, del Carmen Lara M, Castrejon L, Hernandez-Franco J, Orihuela-Espina F, Palafox L, Williams A, Bianchi-Berthouze N, Sucar L. Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation. IEEE Transactions on Affective Computing 2022;13(3):1183 View
  6. Rao N, Perdomo S, Jonassaint C. A Novel Method for Digital Pain Assessment Using Abstract Animations: Human-Centered Design Approach. JMIR Human Factors 2022;9(1):e27689 View
  7. Polhemus A, Novak J, Majid S, Simblett S, Morris D, Bruce S, Burke P, Dockendorf M, Temesi G, Wykes T. Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives. JMIR Mental Health 2022;9(4):e25249 View
  8. Liu Y, Zhu Y, Jiang L, Lu C, Xiao L, Wang T, Chen J, Sun L, Deng L, Gu M, Zheng T, Feng M, Shi Y. Efficacy of electro-acupuncture in postpartum with diastasis recti abdominis: A randomized controlled clinical trial. Frontiers in Public Health 2022;10 View
  9. Berger S, Baria A. Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches. Frontiers in Pain Research 2022;3 View
  10. O’Brien J, Jonassaint C, Parchuri E, Lalama C, Badawy S, Hamm M, Stinson J, Lalloo C, Carroll C, Saraf S, Gordeuk V, Cronin R, Shah N, Lanzkron S, Liles D, Trimnell C, Bailey L, Lawrence R, Saint Jean L, DeBaun M, De Castro L, Palermo T, Abebe K. The use of abstract animations and a graphical body image for assessing pain outcomes among adults with sickle cell disease. The Journal of Pain 2025;26:104720 View