Literature DB >> 18270034

3-D pain drawings-mobile data collection using a PDA.

G Ghinea1, F Spyridonis, T Serif, A O Frank.   

Abstract

A large number of the adult population suffers from some kind of back pain during their lifetime. Part of the process of diagnosing and treating such back pain is for a clinician to collect information as to the type and location of the pain that is being suffered. Traditional approaches to gathering and visualizing this pain data have relied on simple 2-D representations of the human body, where different types of sensation are recorded with various monochrome symbols. Although patients have been shown to prefer such drawings to traditional questionnaires, these pain drawings can be limited in their ability to accurately record pain. The work described in this paper proposes an alternative that uses a 3-D representation of the human body, which can be marked in color to visualize and record the pain data. This study has shown that the new approach is a promising development in this area of medical practice and has been positively received by patients and clinicians alike.

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Year:  2008        PMID: 18270034     DOI: 10.1109/TITB.2007.903266

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  7 in total

Review 1.  mHealth: a strategic field without a solid scientific soul. a systematic review of pain-related apps.

Authors:  Rocío de la Vega; Jordi Miró
Journal:  PLoS One       Date:  2014-07-07       Impact factor: 3.240

Review 2.  Pain Assessment--Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis.

Authors:  Nuno Pombo; Nuno Garcia; Kouamana Bousson; Susanna Spinsante; Ivan Chorbev
Journal:  Int J Environ Res Public Health       Date:  2016-04-13       Impact factor: 3.390

3.  Designing a Tablet-Based Software App for Mapping Bodily Symptoms: Usability Evaluation and Reproducibility Analysis.

Authors:  Matthias Karst; Florian Beissner; Till-Ansgar Neubert; Martin Dusch
Journal:  JMIR Mhealth Uhealth       Date:  2018-05-30       Impact factor: 4.773

4.  Digital Pain Drawings Can Improve Doctors' Understanding of Acute Pain Patients: Survey and Pain Drawing Analysis.

Authors:  Martin Dusch; Florian Beissner; Nour Shaballout; Anas Aloumar; Till-Ansgar Neubert
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-10       Impact factor: 4.773

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

Authors:  Nour Shaballout; Till-Ansgar Neubert; Shellie Boudreau; Florian Beissner
Journal:  JMIR Mhealth Uhealth       Date:  2019-09-05       Impact factor: 4.773

6.  Attitudes of patients toward adoption of 3D technology in pain assessment: qualitative perspective.

Authors:  Fotios Spyridonis; Gheorghita Ghinea; Andrew O Frank
Journal:  J Med Internet Res       Date:  2013-04-10       Impact factor: 5.428

7.  Do Gender-Specific and High-Resolution Three Dimensional Body Charts Facilitate the Communication of Pain for Women? A Quantitative and Qualitative Study.

Authors:  Line Lindhardt Egsgaard; Trine Søby Christensen; Ida Munk Petersen; Dorthe Scavenius Brønnum; Shellie Ann Boudreau
Journal:  JMIR Hum Factors       Date:  2016-07-20
  7 in total

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