Correlations among algometry, the visual analogue scale, and the numeric rating scale to assess chronic pelvic pain in women
To investigate the correlation between the numerical rating scale, visual analogue scale, and pressure threshold by algometry in women with chronic pelvic pain. This was a cross-sectional study. We included 47 patients with chronic pelvic pain. All subjects underwent a pain assessment that used thre...
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Published in | European journal of obstetrics & gynecology and reproductive biology: X Vol. 3; p. 100037 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier
01.07.2019
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Subjects | |
Online Access | Get full text |
ISSN | 2590-1613 2590-1613 |
DOI | 10.1016/j.eurox.2019.100037 |
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Summary: | To investigate the correlation between the numerical rating scale, visual analogue scale, and pressure threshold by algometry in women with chronic pelvic pain.
This was a cross-sectional study. We included 47 patients with chronic pelvic pain. All subjects underwent a pain assessment that used three different methods and were divided according to the cause of pain (endometriosis versus non-endometriosis). Moreover, we assessed the agreement between the scales (visual, analogue and algometry) using the intraclass correlation coefficient (ICC).
The ICC for the numeric rating scale and the visual analogue scale regarding pain (0.992), dysmenorrhea (1.00) and dyspareunia (0.996) were strong. The agreement between the scales was excellent (
≤0.01). The correlation between algometry and the scales showed a moderate and inverse association, and this correlation was statistically significant: as the scores on the numeric rating scale and the visual analogue scale regarding dyspareunia increased, the algometry thresholds decreased.
The assessment of women with chronic pelvic pain should combine pressure algometry and the numeric rating scale or the visual analogue scale, because of their inverse correlations and satisfactory reliability and sensitivity, to make pain assessment less subjective and more accurate. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2590-1613 2590-1613 |
DOI: | 10.1016/j.eurox.2019.100037 |