Pain-QuILT: Clinical Feasibility of a Web-Based Visual Pain Assessment Tool in Adults With Chronic Pain

Journals

1. MacDermid J, Walton D, Bobos P, Lomotan M, Carlesso L. A Qualitative Description of Chronic Neck Pain has Implications for Outcome Assessment and Classification. The Open Orthopaedics Journal 2016;10(1):746 View
2. Caseiro M, Woznowski‐Vu A, De Oliveira A, Reis F, Wideman T. From Paper to Digitalized Body Map: A Reliability Study of the Pain Area. Pain Practice 2019;19(6):602 View
3. Skonnord T, Steen F, Skjeie H, Fetveit A, Brekke M, Klovning A. Survey Email Scheduling and Monitoring in eRCTs (SESAMe): A Digital Tool to Improve Data Collection in Randomized Controlled Clinical Trials. Journal of Medical Internet Research 2016;18(11):e311 View
4. Jaatun E, Jaatun M. Advanced Healthcare Services Enabled by a Computerized Pain Body Map. Procedia Computer Science 2016;98:251 View
5. Eapen B, Archer N, Sartipi K. LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning. JMIR Dermatology 2020;3(1):e18149 View
6. Stinson J, Connelly M, Kamper S, Herlin T, Toupin April K. Models of Care for addressing chronic musculoskeletal pain and health in children and adolescents. Best Practice & Research Clinical Rheumatology 2016;30(3):468 View
7. Lalloo C, Stinson J. Assessment and treatment of pain in children and adolescents. Best Practice & Research Clinical Rheumatology 2014;28(2):315 View
8. Di Lernia D, Serino S, Cipresso P, Riva G. Ghosts in the Machine. Interoceptive Modeling for Chronic Pain Treatment. Frontiers in Neuroscience 2016;10 View
9. Michaleff Z, Kamper S, Stinson J, Hestbaek L, Williams C, Campbell P, Dunn K. Measuring Musculoskeletal Pain in Infants, Children, and Adolescents. Journal of Orthopaedic & Sports Physical Therapy 2017;47(10):712 View
10. Lor M, Koleck T, Bakken S. Information visualizations of symptom information for patients and providers: a systematic review. Journal of the American Medical Informatics Association 2019;26(2):162 View
11. Barentsz M, Wessels H, van Diest P, Pijnappel R, Haaring C, van der Pol C, Witkamp A, van den Bosch M, Verkooijen H. Tablet, Web-Based, or Paper Questionnaires for Measuring Anxiety in Patients Suspected of Breast Cancer: Patients' Preferences and Quality of Collected Data. Journal of Medical Internet Research 2014;16(10):e239 View
12. Palmer C, Farhan B, Nguyen N, Zhang L, Do R, Nguyen D, Ghoniem G. Are Electronic and Paper Questionnaires Equivalent to Assess Patients with Overactive Bladder?. Journal of Urology 2018;200(2):369 View
13. 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
14. 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
15. Al-Kalaldeh M, Al-Zaidaneen H. Congruency of Nurse–Patient Pain Scoring in the Emergency Department: A Cross-Sectional Observational Study. Pain Management 2022;12(5):635 View
16. Alghamdi T, Alaghband G. Facial Expressions Based Automatic Pain Assessment System. Applied Sciences 2022;12(13):6423 View
17. Alghamdi T, Alaghband G. SAFEPA: An Expandable Multi-Pose Facial Expressions Pain Assessment Method. Applied Sciences 2023;13(12):7206 View
18. Ali S, Selby D, Bourke D, Bravo Santisteban R, Chiarotto A, Firth J, James B, Parker B, Dixon W, van der Veer S. Feasibility and acceptability to use a smartphone-based manikin for daily longitudinal self-reporting of chronic pain. DIGITAL HEALTH 2023;9 View

Books/Policy Documents

1. Caon M, Angelini L, Ledermann K, Martin-Sölch C, Khaled O, Mugellini E. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). View
2. Fenech J, Prakash V, Garg L, Carlo C, Sharma A. Advanced Computing. View