scholarly journals Novel Software for Pain Drawing Analysis

Cureus ◽  
2021 ◽  
Author(s):  
Asimakis K Kanellopoulos ◽  
Emmanouil K Kanellopoulos ◽  
Zacharias Dimitriadis ◽  
Nikolaos S Strimpakos ◽  
Andriana Koufogianni ◽  
...  
Keyword(s):  
Pain Drawing

scholarly journals Pain drawings, interpreter support and clinical findings among immigrant patients on sick leave in Swedish primary health care

2019 ◽  
Vol 20 ◽  
Author(s):  
Monica Löfvander
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Sick Leave ◽  
Formal Education ◽  
Clinical Findings ◽  
Psychosocial Stressors ◽  
Foreign Born ◽  
Pain Drawing ◽  
Primary Health ◽  
One Year

Abstract Aim: To evaluate the spread of pain and its correlates among immigrant patients on sick leave. Background: Backache, outspread pain and sick-leave questions are problematic to handle primary health care, especially in multicultural settings. Methods: Two hundred and thirty-five patients 20–45 years on paid sick leave (59% women, 93% foreign-born, mostly non-Europeans). Many had little formal education. One-third had professional interpreter support. The patients pointed out on their bodies where they felt pain. This information was transferred on a pain drawing [pain drawing fields (PDFs) 0–18] by a doctor. Major depression and psychosocial stressors were assessed using Diagnostic and Statistical Manual of Mental Disorders. Nociceptive locations for pain were established (pain-sites 0–18). Dependent variable was the number of PDFs. Independent variables were social data, sick leave, interpreter, depression, stress levels and number of pain sites. Calculations were done using descriptive methods and multi-variable linear regression in full models, by gender. Findings: Many patients had depression (51% women versus 32% men). A majority were exposed to psychosocial stressors. Women had more PDFs, in median 5 [inter-quartile ranges (IQR) 4–8] versus men 3 (IQR 2–5), and also more pain sites, in median 3 (IQR 2–5) versus men in median 2 (IQR 1–3). For men, the regression calculations revealed that numbers of PDFs associated only with increasing numbers of pain sites (B 0.871 P < 0.001). For women, this association was weaker (B 0.364, P < 0.001), with significant values also for age (B 0.103) and sick leave > one year (B 0.767, P = 0.010), and a negative predicting value for interpreter support (B −1.198, P < 0.043). To conclude, PDFs associated often with somatic findings but varied much among the women. This implies potential problems regarding cause, function and sick leave questions. However, support by professional interpreters may facilitate a shared understanding with immigrant women having long-standing pain.

scholarly journals (387) Effectiveness of splanchnic nerve neurolysis for targeting location of cancer pain: using the pain drawing as an outcome variable

2016 ◽  
Vol 17 (4) ◽  
pp. S71-S72
Author(s):  
D. Novy ◽  
M. Engle ◽  
E. Lai ◽  
C. Cook ◽  
E. Cox-Martin ◽  
...  
Keyword(s):  
Cancer Pain ◽  
Splanchnic Nerve ◽  
Outcome Variable ◽  
Pain Drawing

A Systematic Review of Pain Drawing Literature

2006 ◽  
Vol 22 (5) ◽  
pp. 449-457 ◽  
Author(s):  
Dawn Carnes ◽  
Deborah Ashby ◽  
Martin Underwood
Keyword(s):  
Systematic Review ◽  
Pain Drawing

scholarly journals Computerized quantification of pain drawings

2019 ◽  
Vol 20 (1) ◽  
pp. 175-189
Author(s):  
Søren O’Neill ◽  
Tue Secher Jensen ◽  
Peter Kent
Keyword(s):  
Visual Inspection ◽  
Principal Component ◽  
Visual Assessment ◽  
Spinal Pain ◽  
Correct Choice ◽  
Significant Degree ◽  
Clinical Registry ◽  
Pain Drawing ◽  
Pain Drawings ◽  
Pain Area

AbstractBackground and aimsUsing a computer algorithm to quantify pain drawings could be useful, especially when large numbers of drawings need to be assessed. Whilst informal visual assessment of pain drawings can give clinicians a quick impression of the extent of pain and its location, formal quantification of pain drawings by computer for research purposes is not necessarily trivial. The current study compared seven different approaches to quantification in a large sample of clinical spinal pain drawings.MethodsA large number (n = 55,720) of pain drawings were extracted from the SpineData database, a clinical registry of spinal pain patients in the Region of Southern Denmark. Drawings were analyzed both as pixel (raster) and vector based images, with different approaches based on the raw pain drawing, simple encircling polygons, convex-hull encircling polygons and discrete anatomical regions. Data were analyzed using principal component analysis, correlation and linear regression, as well as informal visual inspection of outlier pain drawings.ResultsEighty-one percent of the variance could be explained by the first principal component, which we interpreted as the true score variance, i.e. the variance attributable to differences in pain area between individuals. The second principal component explained 10% of the variance and was loaded differentially by polygon-based methods and non-polygon-based methods. Correlations between the different approaches ranged from 0.66 to 1.00. Some approaches correlated so strongly as to be interchangeable, others tended to bias area estimates significantly. Visual inspection of outlier pain drawing indicated that when the different approaches to quantification yielded different results, characteristic patterns could be identified in the style and patterns of those pain drawings.ConclusionsThe different approaches reflected the same underlying construct (pain area), but could not be relied upon to produce the same area estimates and were affected by the interaction between drawing style and quantification approach. To some extend, the “correct” choice of quantification method is specific to and dictated by the style of each pain drawing. A differentiated approach is required in which the results of quantification and the drawing style are considered in combination. We provide suggestions for such differentiated approaches taking into account the nature of the drawing data (raster vs. vector) and the method of analysis (partly vs completely automated).ImplicationsThe chosen method of quantifying pain drawings in combination with the drawing style of the individual patient, can impact the resulting area estimate to a significant degree. These issues should be considered before undertaking computerized area estimation of pain drawings.

scholarly journals The pain drawing as an instrument for identifying cervical spine nerve involvement in chronic whiplash-associated disorders

2016 ◽  
pp. 397 ◽  
Author(s):  
Gabriella Bernhoff ◽  
Maria Landén Ludvigsson ◽  
Gunnel Peterson ◽  
Bo Christer Bertilson ◽  
Madeleine Elf ◽  
...  
Keyword(s):  
Cervical Spine ◽  
Pain Drawing ◽  
Nerve Involvement ◽  
Whiplash Associated Disorders ◽  
Chronic Whiplash

Associations Between Pain drawing and Psychological Characteristics of Different Body Region Pains

Pain Practice ◽  
2014 ◽  
Vol 15 (4) ◽  
pp. 300-307 ◽  
Author(s):  
Kazuhiro Hayashi ◽  
Young-Chang P. Arai ◽  
Atsuko Morimoto ◽  
Shuichi Aono ◽  
Takahiko Yoshimoto ◽  
...  
Keyword(s):  
Psychological Characteristics ◽  
Body Region ◽  
Pain Drawing

scholarly journals Figure Correction: Digital Pain Drawings Can Improve Doctors’ Understanding of Acute Pain Patients: Survey and Pain Drawing Analysis (Preprint)

2019 ◽  
Author(s):  
Nour Shaballout ◽  
Anas Aloumar ◽  
Till-Ansgar Neubert ◽  
Martin Dusch ◽  
Florian Beissner
Keyword(s):  
Acute Pain ◽  
Pain Drawing ◽  
Pain Drawings ◽  
Pain Patients

Pain drawing in the evaluation of low back pain

1995 ◽  
Vol 19 (6) ◽  
Author(s):  
K. Takata ◽  
H. Hirotani
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Low Back ◽  
Pain Drawing

Pain Drawing in the Assessment of Nerve Root Compression in the Degenerative Spondylosis

2007 ◽  
Vol 14 (4) ◽  
pp. 249
Author(s):  
Jeong Rae Kim ◽  
Chul Hyun Park ◽  
Jong Chul Ahn ◽  
Myun Whan Ahn ◽  
Hyun Kook Yoon
Keyword(s):  
Nerve Root ◽  
Nerve Root Compression ◽  
Pain Drawing
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