A Systematic Review of Pain Drawing Literature

Carnes, Dawn; Ashby, Deborah; Underwood, Martin

doi:10.1097/01.ajp.0000208245.41122.ac

Cited by 65 publications

(14 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is no high quality evidence to support pain-drawing use as a psychological assessment tool; therefore, pain drawings are not recommended for this purpose. 41 …”

Section: Clinical Guidelines: Impairment/function-based Diagnosismentioning

confidence: 99%

Patellofemoral Pain: Proximal, Distal, and Local Factors—2nd International Research Retreat, August 31–September 2, 2011, Ghent, Belgium

Powers

Bolgla²,

Callaghan³

et al. 2012

Journal of Orthopaedic & Sports Physical Therapy

223

206

View full text Add to dashboard Cite

Patellofemoral pain (PFP) is one of the most common lower extremity conditions seen in orthopaedic practice. The mission of the second International Patellofemoral Pain Research Retreat was to bring together scientists and clinicians from around the world who are conducting research aimed at understanding the factors that contribute to the development and, consequently, the treatment of PFP. The format of the 2.5-day retreat included 2 keynote presentations, interspersed with 6 podium and 4 poster sessions. An important element of the retreat was the development of consensus statements that summarized the state of the research in each of the 4 presentation categories. In this supplement, you will find the consensus documents from the meeting, as well as the keynote addresses, schedule, and platform and poster presentation abstracts. J Orthop Sports Phys Ther 2012;42(6):A1–A54. doi:10.2519/jospt.2012.0301

show abstract

“…There is no high quality evidence to support pain-drawing use as a psychological assessment tool; therefore, pain drawings are not recommended for this purpose. 41 …”

Section: Clinical Guidelines: Impairment/function-based Diagnosismentioning

confidence: 99%

Patellofemoral Pain: Proximal, Distal, and Local Factors—2nd International Research Retreat, August 31–September 2, 2011, Ghent, Belgium

Powers

Bolgla²,

Callaghan³

et al. 2012

Journal of Orthopaedic & Sports Physical Therapy

223

206

View full text Add to dashboard Cite

show abstract

“…Pain complaints are not extensively employed in the diagnosis of LBP, for subjective complaints can vary depending on the patients' pain tolerance (15, 16). However, pain complaints contain invaluable information to indicate the source of pain (17, 18).…”

Section: Discussionmentioning

confidence: 99%

Usefulness of Pain Distribution Pattern Assessment in Decision-Making for the Patients with Lumbar Zygapophyseal and Sacroiliac Joint Arthropathy

et al. 2007

View full text Add to dashboard Cite

There are currently no initial guides for the diagnosis of somatic referred pain of lumbar zygapophyseal joint (LZJ) or sacroiliac joint (SIJ). We developed a classification system of LZJ and SIJ pain, the "pain distribution pattern template (PDPT)" depending on the pain distribution patterns from a pool of 200 patients whose spinal pain source was confirmed. We prospectively applied the PDPT to determine its contribution to clinical decision-making for 419 patients whose pain was presumed to arise from the LZJs (259 patients) or SIJs (160 patients). Forty-nine percent (128/259) of LZJ and 46% (74/160) of SIJ arthopathies diagnosed by PDPT were confirmed by nerve blocks. Diagnostic reliabilities were significantly higher in Type A and C patterns in LZJ and Type C in SIJ arthropathies, 64%, 80%, and 68.4%, respectively. For both LZJ and SIJ arthropathies, favorable outcome after radiofrequency (RF) neurotomies was similar to the rate of positive responses to diagnostic blocks in Type A to Type D, whereas the outcome was unpredictable in those with undetermined type (Type E). Considering the paucity of currently available diagnostic methods for LZJ and SIJ arthropathies, PDPT is useful in clinical decision-making as well as in predicting the treatment outcome.

show abstract

“…Linear regression was used to examine the relationship between pain diagram area and the following variables: age; gender; pain intensity; PCS total score; FABQ-Work scale score; FABQ-Activity scale score; and SF-36 Mental Health scale score. Age, gender, and pain intensity were entered as covariates as they had been identified as effect modifiers in previous studies [19]. In addition, we constructed another linear regression model to examine the relationship between pain intensity and the following variables: PCS total score; FABQ-Work scale score; and FABQ-Activity scale score.…”

Section: Methodsmentioning

confidence: 99%

“…Several scoring methods have been used to identify psychosocial factors, including the Ransford Scoring System [16]; Modified Ransford Scoring System [17]; Pain Sites Scoring System [18]; and Body Map Scoring System [18]. However, none of these systems have been found to be valid measures [19]. …”

Section: Introductionmentioning

confidence: 99%

The association between pain diagram area, fear-avoidance beliefs, and pain catastrophising

et al. 2014

View full text Add to dashboard Cite

BackgroundThe development of clinical practice guidelines for managing spinal pain have been informed by a biopsychosocial framework which acknowledges that pain arises from a combination of psychosocial and biomechanical factors. There is an extensive body of evidence that has associated various psychosocial factors with an increased risk of experiencing persistent pain. Clinicians require instruments that are brief, easy to administer and score, and capable of validly identifying psychosocial factors. The pain diagram is potentially such an instrument. The aim of our study was to examine the association between pain diagram area and psychosocial factors.Methods183 adults, aged 20–85, with spinal pain were recruited. We administered a demographic checklist; pain diagram; 11-point Numerical Rating Scale assessing pain intensity; Pain Catastrophising Scale (PCS); MOS 36 Item Short Form Health Survey (SF-36); and the Fear Avoidance Beliefs Questionnaire (FABQ). Open source software, GIMP, was used to calculate the total pixilation area on each pain diagram. Linear regression was used to examine the relationship between pain diagram area and the following variables: age; gender; pain intensity; PCS total score; FABQ-Work scale score; FABQ-Activity scale score; and SF-36 Mental Health scale score.ResultsThere were no significant associations between pain diagram area and any of the clinical variables.ConclusionOur findings showed that that pain diagram area was not a valid measure to identify psychosocial factors. Several limitations constrained our results and further studies are warranted to establish if pain diagram area can be used assess psychosocial factors.

show abstract

A Systematic Review of Pain Drawing Literature

Cited by 65 publications

References 36 publications

Patellofemoral Pain: Proximal, Distal, and Local Factors—2nd International Research Retreat, August 31–September 2, 2011, Ghent, Belgium

Patellofemoral Pain: Proximal, Distal, and Local Factors—2nd International Research Retreat, August 31–September 2, 2011, Ghent, Belgium

Usefulness of Pain Distribution Pattern Assessment in Decision-Making for the Patients with Lumbar Zygapophyseal and Sacroiliac Joint Arthropathy

The association between pain diagram area, fear-avoidance beliefs, and pain catastrophising

Contact Info

Product

Resources

About