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

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

In “Digital Pain Drawings Can Improve Doctors’ Understanding of Acute Pain Patients: Survey and Pain Drawing Analysis” by Shaballout et al (JMIR Mhealth Uhealth 2019;7(1):e11412), the authors inadvertently reversed the legends in the bar plot of Figure 2. A revised version of Figure 2 has been uploaded with the correct legend wherein the upper (red) bar is denoted by “How much did the electronic pain drawing improve your understanding of the patient?”

Nour Shaballout, Anas Aloumar, Till-Ansgar Neubert, Martin Dusch, Florian Beissner

JMIR Mhealth Uhealth 2019;7(9):e16017

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

The WPI was a development independent of PD rating methods per se; however, Shaballout et al created an electronic PD automatically calculating WPI by masking the digital PD with a template of the 19 body regions and counting the nonempty regions [61]. A highly cited modification of the body region method came from Margolis et al in 1986 [59]. The authors published a new body outline with a different set of 45 scorable sites reflecting boundaries of anatomical landmarks.

Nour Shaballout, Till-Ansgar Neubert, Shellie Boudreau, Florian Beissner

JMIR Mhealth Uhealth 2019;7(9):e14569