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

Discretionary Corrigenda* (24)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16017, first published .
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

Figure Correction: 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 Tweetations (3) Metrics

    Corrigenda and Addenda

    1Somatosensory and Autonomic Therapy Research, Institute for Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany

    2Section Pain Medicine, Clinic of Anaesthesiology and Intensive Care Medicine, Hannover Medical School, Hannover, Germany

    *these authors contributed equally

    Corresponding Author:

    Florian Beissner, Dr Phil Nat

    Somatosensory and Autonomic Therapy Research

    Institute for Diagnostic and Interventional Neuroradiology

    Hannover Medical School

    Carl-Neuberg-Strasse 1

    Hannover, 30625

    Germany

    Phone: 49 511 53508413

    Email: Beissner.Florian@mh-hannover.de



    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?” and the lower (grey) bar is denoted by “How much did the electronic pain drawing influence your clinical decision?”

    The correction will appear in the online version of the paper on the JMIR website on September 27, 2019, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

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    Figure 2. Impact of knowing patients’ pain drawings (PDs) on understanding of the pain and clinical decision making as rated by the doctors. Patients’ PDs significantly improved the doctors’ understanding of the pain and to a lesser but still significant extent influenced their clinical decision.

    This is a non–peer-reviewed article. submitted 27.08.19; accepted 29.08.19; published 27.09.19.

    Copyright

    ©Nour Shaballout, Anas Aloumar, Till-Ansgar Neubert, Martin Dusch, Florian Beissner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 27.09.2019.

    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.