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

mHealth for Data Collection and Research (917) Pain in Children and Adolescents (39)

Published on in Vol 7, No 9 (2019): September

From Paper to Digital Applications of the Pain Drawing: Systematic Review of Methodological Milestones

From Paper to Digital Applications of the Pain Drawing: Systematic Review of Methodological Milestones

From Paper to Digital Applications of the Pain Drawing: Systematic Review of Methodological Milestones

Authors of this article:

Nour Shaballout1 Author Orcid Image ;   Till-Ansgar Neubert1 Author Orcid Image ;   Shellie Boudreau2 Author Orcid Image ;   Florian Beissner1 Author Orcid Image
Article Authors Cited by (33) Tweetations (6) 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. Beissner F. Therapeutic Sensations: A New Unifying Concept. Evidence-Based Complementary and Alternative Medicine 2020;2020:1 View
  3. Ali S, Lau W, McBeth J, Dixon W, van der Veer S. Digital manikins to self‐report pain on a smartphone: A systematic review of mobile apps. European Journal of Pain 2021;25(2):327 View
  4. Barbero M, Navarro-Santana M, Palacios-Ceña M, Ortega-Santiago R, Cescon C, Falla D, Fernández-de-las-Peñas C. Clinical Significance and Diagnostic Value of Pain Extent Extracted from Pain Drawings: A Scoping Review. Diagnostics 2020;10(8):604 View
  5. Sehgal N, Gordon D, Hetzel S, Backonja M. Colored Pain Drawing as a Clinical Tool in Differentiating Neuropathic Pain from Non-Neuropathic Pain. Pain Medicine 2021;22(3):596 View
  6. Ellingsen D, Beissner F, Moher Alsady T, Lazaridou A, Paschali M, Berry M, Isaro L, Grahl A, Lee J, Wasan A, Edwards R, Napadow V. A picture is worth a thousand words: linking fibromyalgia pain widespreadness from digital pain drawings with pain catastrophizing and brain cross-network connectivity. Pain 2021;162(5):1352 View
  7. Muracki J. The influence of muscle soreness on the speed of performing a motor reaction speed task in football goalkeepers during a training camp. Central European Journal of Sport Sciences and Medicine 2020;32:27 View
  8. Shaballout N, Aloumar A, Manuel J, May M, Beissner F. Lateralization and Bodily Patterns of Segmental Signs and Spontaneous Pain in Acute Visceral Disease: Observational Study. Journal of Medical Internet Research 2021;23(8):e27247 View
  9. Lor M, Rabago D, Backonja M. Evaluation of the Use of Colors and Drawings for Pain Communication for Hmong Patients. Pain Management Nursing 2021;22(6):811 View
  10. Alter B, Anderson N, Gillman A, Yin Q, Jeong J, Wasan A, Sommer C. Hierarchical clustering by patient-reported pain distribution alone identifies distinct chronic pain subgroups differing by pain intensity, quality, and clinical outcomes. PLOS ONE 2021;16(8):e0254862 View
  11. 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
  12. Dixit A, Lee M. Quantification of Digital Body Maps for Pain: Development and Application of an Algorithm for Generating Pain Frequency Maps. JMIR Formative Research 2022;6(6):e36687 View
  13. 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
  14. Bernhoff G, Huhmar H, Rasmussen-Barr E, Bunketorp Käll L. The Significance of Pain Drawing as a Screening Tool for Cervicogenic Headache and Associated Symptoms in Chronic Fatigue. Journal of Pain Research 2022;Volume 15:2547 View
  15. Koufogianni A, Kanellopoulos A, Vassis K, Poulis I. IS DISTRIBUTION OF PAIN RELATED WITH CENTRAL SENSITIZATION IN PATIENTS WITH LOWER LIMB OSTEOARTHRITIS?. Journal of Musculoskeletal Research 2021;24(04) View
  16. Boudreau S. Visualizing and quantifying spatial and qualitative pain sensations. Scandinavian Journal of Pain 2022;22(4):681 View
  17. 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
  18. 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
  19. Lorenc T, Gołębiowski M, Syganiec D, Glinkowski W. Associations between Patient Report of Pain and Intervertebral Foramina Changes Visible on Axial-Loaded Lumbar Magnetic Resonance Imaging. Diagnostics 2022;12(3):563 View
  20. Feng R, Hatem M, Martin H. Anterior Electronic Hip Pain Drawings Are Helpful for Diagnosis of Intra-articular Sources of Pain: Lateral or Posterior Drawings Are Unreliable. Arthroscopy, Sports Medicine, and Rehabilitation 2023;5(1):e87 View
  21. Rodrigues J, Avila M, dos Reis F, Carlessi R, Godoy A, Arruda G, Driusso P. ‘Painting my pain’: the use of pain drawings to assess multisite pain in women with primary dysmenorrhea. BMC Women's Health 2022;22(1) View
  22. Kanellopoulos A, Kanellopoulos E, Dimitriadis Z, Strimpakos N, Koufogianni A, Kellari A, Poulis I. Novel Software for Pain Drawing Analysis. Cureus 2021 View
  23. Aibel K, Moldwin R. Validation of the ‘Pelvic Pain Map’: a new self‐assessment tool for chronic pelvic pain localisation. BJU International 2023;131(6):763 View
  24. Emmert D, Szczypien N, Bender T, Grigull L, Gass A, Link C, Klawonn F, Conrad R, Mücke M, Sellin J. A diagnostic support system based on pain drawings: binary and k-disease classification of EDS, GBS, FSHD, PROMM, and a control group with Pain2D. Orphanet Journal of Rare Diseases 2023;18(1) View
  25. 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
  26. Szczypien N, Ruchay Z, Ruchay Z, Müller S, Kaiser C, Klawonn F. Sex‐specific differences in pain localization in female patients with endometriosis: A comparison of sexless and female human body outlines. Brain and Behavior 2023;13(12) View
  27. Sellin J, Pantel J, Börsch N, Conrad R, Mücke M. Kurze Wege zur Diagnose mit künstlicher Intelligenz – systematische Literaturrecherche zu „diagnostic decision support systems“. Der Schmerz 2024;38(1):19 View
  28. Henrich M, Garenfeld M, Malesevic J, Strbac M, Dosen S. Encoding contact size using static and dynamic electrotactile finger stimulation: natural decoding vs. trained cues. Experimental Brain Research 2024;242(5):1047 View
  29. 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
  30. Lee Y, Chae Y. Pattern Identification and Acupuncture Prescriptions Based on Real-World Data Using Artificial Intelligence. East Asian Science, Technology and Society: An International Journal 2024:1 View
  31. Stuhlreyer J, Klinger R. Development and Validation of the Pain and State of Health Inventory (PHI): Application for the Perioperative Setting. Journal of Clinical Medicine 2021;10(9):1965 View

Books/Policy Documents

  1. Muthukumarana S, Elvitigala D, Wu Q, Pai Y, Nanayakkara S. Human-Computer Interaction – INTERACT 2021. View
  2. Scott C. Palgrave Encyclopedia of the Health Humanities. View