Literature DB >> 20648198

Pain assessment: subjectivity, objectivity, and the use of neurotechnology.

James Giordano1, Kim Abramson, Mark V Boswell.   

Abstract

The pain clinician is confronted with the formidable task of objectifying the subjective phenomenon of pain so as to determine the right treatments for both the pain syndrome and the patient in whom the pathology is expressed. However, the experience of pain - and its expression - remains enigmatic. Can currently available evaluative tools, questionnaires, and scales actually provide adequately objective information about the experiential dimensions of pain? Can, or will, current and future iterations of biotechnology - whether used singularly or in combination (with other technologies as well as observational-behavioral methods) - afford objective validation of pain? And what of the clinical, ethical, legal and social issues that arise in and from the use - and potential misuse - of these approaches? Subsequent trajectories of clinical care depend upon the findings gained through the use of these techniques and their inappropriate employment - or misinterpretation of the results they provide - can lead to misdiagnoses and incorrect treatment. This essay is the first of a two-part series that explicates how the intellectual tasks of knowing about pain and the assessment of its experience and expression in the pain patient are constituent to the moral responsibility of pain medicine. Herein, we discuss the problem of pain and its expression, and those methods, techniques, and technologies available to bridge the gap between subjective experience and objective evaluation. We address how these assessment approaches are fundamental to apprehend both pain as an objective, neurological event, and its impact upon the subjective experience, existence, and expectations of the person in pain. In this way, we argue that the right use of technology - together with inter-subjectivity, compassion, and insight - can sustain the good of pain care as both a therapeutic and moral enterprise.

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Year:  2010        PMID: 20648198

Source DB:  PubMed          Journal:  Pain Physician        ISSN: 1533-3159            Impact factor:   4.965


  8 in total

1.  Home-Based EEG Neurofeedback Intervention for the Management of Chronic Pain.

Authors:  Nick Birch; Jon Graham; Christine Ozolins; Kaushalya Kumarasinghe; Faisal Almesfer
Journal:  Front Pain Res (Lausanne)       Date:  2022-05-27

Review 2.  Common brain activations for painful and non-painful aversive stimuli.

Authors:  Dave J Hayes; Georg Northoff
Journal:  BMC Neurosci       Date:  2012-06-07       Impact factor: 3.288

3.  Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.

Authors:  David A Juckett; Fred N Davis; Mark Gostine; Philip Reed; Rebecca Risko
Journal:  BMC Med Inform Decis Mak       Date:  2015-05-28       Impact factor: 2.796

4.  Use of the painDETECT tool in rheumatoid arthritis suggests neuropathic and sensitization components in pain reporting.

Authors:  Saqa Ahmed; Tejal Magan; Mario Vargas; Abiola Harrison; Nidhi Sofat
Journal:  J Pain Res       Date:  2014-10-14       Impact factor: 3.133

Review 5.  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

6.  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

7.  Combining Electrodermal Activity With the Peak-Pain Time to Quantify Three Temporal Regions of Pain Experience.

Authors:  Viprali Bhatkar; Rosalind Picard; Camilla Staahl
Journal:  Front Pain Res (Lausanne)       Date:  2022-03-23

8.  Does changes in the electrical resistance of an acupuncture meridian predict pain intensity following orthopedic surgery?

Authors:  Mehran Rezvani; Mahmoud-Reza Alebouyeh; Farnad Imani; Saeid Reza Entezary; Masood Mohseni
Journal:  Anesth Pain Med       Date:  2013-03-26
  8 in total

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