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. 2019 Jan 10;7(1):e11412. doi: 10.2196/11412

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©Nour Shaballout, Anas Aloumar, Till-Ansgar Neubert, Martin Dusch, Florian Beissner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 10.01.2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

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Factors with the potential to influence doctors’ understanding of the patients. The left image shows correlations of pain drawing characteristics extracted from the patients’ drawings, whereas the right image is based on absolute differences of those characteristics between patients’ and doctors’ drawings. Correlation strength is encoded in color brightness and circle size. Blue color indicates positive values and red color indicates negative values. Both the areas of pain (in percent body area) and the widespread pain index (WPI) showed significant correlations with the doctors’ understanding of pain. VAS: visual analog scale.