Pain assessment on a numerical scale with uncertainty intervals: a proof-of-concept simulation study

We proposed a new statistical framework to account for patient-specific uncertainties in pain intensity as measured on a numerical scale. The clinical importance of the method lies in its ability to reflect the large heterogeneity of individual pain experiences and the possibility of investigating pain-related aspects that go beyond a traditional pain assessment with point estimates. Future clinical studies are required to assess the method's clinical validity and utility.

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Publication Details

Journal
Frontiers in Pain Research
Published
2025-05-30
DOI
https://doi.org/10.3389/fpain.2025.1555185
Citations
3
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
4.18
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article

Pain assessment on a numerical scale with uncertainty intervals: a proof-of-concept simulation study

Ulrike M. Stamer, Markus Huber
3 citations
Frontiers in Pain Research
Musculoskeletal pain and rehabilitation
4.18
article

Pain assessment on a numerical scale with uncertainty intervals: a proof-of-concept simulation study

Ulrike M. Stamer, Markus Huber
article en
3 citations

Abstract

We proposed a new statistical framework to account for patient-specific uncertainties in pain intensity as measured on a numerical scale. The clinical importance of the method lies in its ability to reflect the large heterogeneity of individual pain experiences and the possibility of investigating pain-related aspects that go beyond a traditional pain assessment with point estimates. Future clinical studies are required to assess the method's clinical validity and utility.

Frontiers in Pain ResearchVol. 6
University of Bern (CH), University Hospital of Bern (CH)
Openalex Percentile: Top 6%
Musculoskeletal pain and rehabilitation
4.18
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