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

mHealth for Data Collection and Research (917) mHealth in a Clinical Setting (582)

Published on in Vol 7, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11412, first published .
Digital Pain Drawings Can Improve Doctors’ Understanding of Acute Pain Patients: Survey and Pain Drawing Analysis

Digital Pain Drawings Can Improve Doctors’ Understanding of Acute Pain Patients: Survey and Pain Drawing Analysis

Digital Pain Drawings Can Improve Doctors’ Understanding of Acute Pain Patients: Survey and Pain Drawing Analysis

Authors of this article:

Nour Shaballout1 Author Orcid Image ;   Anas Aloumar1 Author Orcid Image ;   Till-Ansgar Neubert1 Author Orcid Image ;   Martin Dusch2 Author Orcid Image ;   Florian Beissner1 Author Orcid Image
Article Authors Cited by (25) Tweetations (10) Metrics

Journals

  1. Shaballout N, Neubert T, Boudreau S, Beissner F. From Paper to Digital Applications of the Pain Drawing: Systematic Review of Methodological Milestones. JMIR mHealth and uHealth 2019;7(9):e14569 View
  2. 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
  3. Gfrerer L, Hansdorfer M, Amador R, Nealon K, Chartier C, Runyan G, Zarfos S, Austen W. Patient Pain Sketches Can Predict Surgical Outcomes in Trigger-Site Deactivation Surgery for Headaches. Plastic & Reconstructive Surgery 2020;146(4):863 View
  4. Wester L, Mücke M, Bender T, Sellin J, Klawonn F, Conrad R, Szczypien N. Pain drawings as a diagnostic tool for the differentiation between two pain-associated rare diseases (Ehlers-Danlos-Syndrome, Guillain-Barré-Syndrome). Orphanet Journal of Rare Diseases 2020;15(1) View
  5. Galve Villa M, S Palsson T, Cid Royo A, R Bjarkam C, Boudreau S. Digital Pain Mapping and Tracking in Patients With Chronic Pain: Longitudinal Study. Journal of Medical Internet Research 2020;22(10):e21475 View
  6. Schobel J, Volz M, Hörner K, Kuhn P, Jobst F, Schwab J, Ikonomi N, Werle S, Fürstberger A, Hoenig K, Kestler H. Supporting Medical Staff from Psycho-Oncology with Smart Mobile Devices: Insights into the Development Process and First Results. International Journal of Environmental Research and Public Health 2021;18(10):5092 View
  7. Galve Villa M, Palsson T, Boudreau S. Spatiotemporal patterns of pain distribution and recall accuracy: a dose-response study. Scandinavian Journal of Pain 2022;22(1):154 View
  8. Delen M, Şendil A, Kaux J, Pedret C, Le Sant G, Pawson J, Miller S, Birn‐Jeffery A, Morrissey D. Self‐reported bio‐psycho‐social factors partially distinguish rotator cuff tendinopathy from other shoulder problems and explain shoulder severity: A case‐control study. Musculoskeletal Care 2023;21(1):175 View
  9. Hodge F, Line Itty T, Arbing R, Samuel-Nakamura C. A window into pain: American Indian cancer survivors’ drawings. Frontiers in Pain Research 2022;3 View
  10. Weßollek K, Kowark A, Czaplik M, Rossaint R, Kowark P, Doering S. Pain drawing as a screening tool for anxiety, depression and reduced health-related quality of life in back pain patients: A cohort study. PLOS ONE 2021;16(10):e0258329 View
  11. 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
  12. Plinsinga M, Boudreau S, Coombes B, Mellor R, Hayes S, Vicenzino B. Comparing what the clinician draws on a digital pain map to that of persons who have greater trochanteric pain syndrome. Scandinavian Journal of Pain 2022;22(3):506 View
  13. Chartier C, Gfrerer L, Knoedler L, Austen W. Artificial Intelligence–Enabled Evaluation of Pain Sketches to Predict Outcomes in Headache Surgery. Plastic & Reconstructive Surgery 2023;151(2):405 View
  14. Abudawood K, Yoon S, Garg R, Yao Y, Molokie R, Wilkie D. Quantification of Patient-Reported Pain Locations. CIN: Computers, Informatics, Nursing 2023;41(5):346 View
  15. Miękisiak G, Załuski R, Szarek D, Pettersson S, Fercho J, Druszcz A, Pezowicz C. The Symmetry of Lower Back Pain as a Potential Screening Factor for Serious Pathology: A Survey Study. Symmetry 2021;13(11):1994 View
  16. Boudreau S. Visualizing and quantifying spatial and qualitative pain sensations. Scandinavian Journal of Pain 2022;22(4):681 View
  17. Barbero M, Piff M, Evans D, Falla D. Do metrics derived from self-reported and clinician-reported pain drawings agree for individuals with chronic low back pain?. Musculoskeletal Science and Practice 2023;68:102871 View
  18. Barbero M, Cescon C, Schneebeli A, Falla D, Landolfi G, Derboni M, Giuffrida V, Rizzoli A, Maino P, Koetsier E. Reliability of the Pen-on-Paper Pain Drawing Analysis Using Different Scanning Procedures. Journal of Pain and Symptom Management 2023 View
  19. Tragoudas M, Dimitriadis Z, Koufogianni A, Kanellopoulos A, Vassis K, Gkrilias P, Spanos S, Poulis I. Test-retest reliability of pain extent and pain location using a novel pain drawing analysis software application, on patients with shoulder pain. Expert Review of Medical Devices 2023;20(12):1219 View
  20. Ojala J, Suvilehto J, Nummenmaa L, Kalso E. Bodily maps of emotions and pain: tactile and hedonic sensitivity in healthy controls and patients experiencing chronic pain. Pain 2023;164(12):2665 View
  21. Boudreau S, Jakobsen T, Haraldsson B, Clausen M. Digital mapping of shoulder pain in patients with shoulder disorders: a reliability study. Physiotherapy Theory and Practice 2024:1 View
  22. Nassehi D, Gripsrud B, Ramvi E. Theoretical perspectives underpinning research on physician–patient relationship in a digital health practice: A scoping review (Preprint). Interactive Journal of Medical Research 2023 View
  23. Uthaikhup S, Sremakaew M, Treleaven J, Jull G, Barbero M, Falla D, Cescon C. Changes in Multiple Aspects of Pain Outcomes After Rehabilitation. The Clinical Journal of Pain 2024;40(4):212 View
  24. Chang N, Nim C, Harsted S, Young J, O'Neill S. Data-driven identification of distinct pain drawing patterns and their association with clinical and psychological factors: a study of 21,123 patients with spinal pain. Pain 2024 View

Books/Policy Documents

  1. Scott C. Palgrave Encyclopedia of the Health Humanities. View