Literature DB >> 16167699

Recording of time-varying back-pain data: a wireless solution.

Tacha Serif1, Gheorghita Ghinea.   

Abstract

Chronic back pain is a debilitating experience for a considerable proportion of the adult population, with a significant impact on countries' economies and health systems. While there has been increasing anecdotal evidence to support the fact that for certain categories of patients (such as wheelchair users), the back pain experienced is dynamically varying with time, there is a relative scarcity of data to support and document this observation, with consequential impact upon such patients' treatment and care. Part of the reason behind this state of affairs is the relative difficulty in gathering pain measurements at precisely defined moments in time. In this paper, we describe a wireless-enabled solution that collects both questionnaire and diagrammatic, visual-based data, via a pain drawing, which overcomes such limitations, enabling seamless data collection and its upload to a hospital server using existing wireless fidelity technology. Results show that it is generally perceived to be an easy-to-use and convenient solution to the challenges of anywhere/anytime data collection.

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Year:  2005        PMID: 16167699     DOI: 10.1109/titb.2005.847514

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


  4 in total

1.  Electronic Data Capture Versus Conventional Data Collection Methods in Clinical Pain Studies: Systematic Review and Meta-Analysis.

Authors:  Lindsay A Jibb; James S Khan; Puneet Seth; Chitra Lalloo; Lauren Mulrooney; Kathryn Nicholson; Dominik A Nowak; Harneel Kaur; Alyssandra Chee-A-Tow; Joel Foster; Jennifer N Stinson
Journal:  J Med Internet Res       Date:  2020-06-16       Impact factor: 5.428

2.  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

3.  Older adults are mobile too!Identifying the barriers and facilitators to older adults' use of mHealth for pain management.

Authors:  Samantha J Parker; Sonal Jessel; Joshua E Richardson; M Cary Reid
Journal:  BMC Geriatr       Date:  2013-05-06       Impact factor: 3.921

4.  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

  4 in total

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