2017
DOI: 10.1093/pm/pnx137
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Pain Assessment Recommendations for Women, Made by Women: A Mixed Methods Study

Abstract: Priorities identified by women for the assessment of pain were largely consistent with expert recommendations; however, important differences were raised that merit consideration for clinicians to reduce stigma.

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Cited by 4 publications
(3 citation statements)
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“…These could assess different elements of pain: nature and intensity, physical and psychological reaction; comparing with other known pain events; how pain limits functionality and how pain is managed. Alongside this, it could be valuable for future PROMS to include items that elicit and record 'pain expression' qualitatively, 36 potentially including descriptions of 'pain behaviours', as well as the impact of pain on mood.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…These could assess different elements of pain: nature and intensity, physical and psychological reaction; comparing with other known pain events; how pain limits functionality and how pain is managed. Alongside this, it could be valuable for future PROMS to include items that elicit and record 'pain expression' qualitatively, 36 potentially including descriptions of 'pain behaviours', as well as the impact of pain on mood.…”
Section: Resultsmentioning
confidence: 99%
“…They divide pain expression into two components: 'pain narrative', comprising words used to describe pain; and 'pain behaviour', which comprises nonverbal and para-verbal pain-related behaviours. 35 Bostick et al 36 found that the 'pain narrative' is important for capturing the experience of women who live with chronic pain conditions and suggest that it should be included alongside quantitative pain assessment measures. Pain is an important symptom of many health conditions, and some conditions have bespoke measurement scales to capture the severity and impact of pain such as WOMAC for osteoarthritis pain.…”
Section: Introductionmentioning
confidence: 99%
“…Explanations for these differences are contentious, complex, and multifaceted but have revealed shocking implicit biases in the healthcare system that often result in physicians under-assessing and consequently under-treating pain in women and ethnic minority groups. This belies claims that differences in pain experiences are due to biological differences alone [8,43]. Designing visualizations or visual analytics applications intended to support clinical decision-making and appropriate communication requires situated knowledge to address and (attempt to) course-correct when a data culture politicizes or depersonalizes the lived experiences of individuals.…”
Section: Discussionmentioning
confidence: 99%