Changes in Pain Score Associated With Clinically Meaningful Outcomes in Children With Acute Pain

Autor: Carl L. von Baeyer, Daniel S. Tsze, Gerrit Hirschfeld, Leonor E Suarez, Peter S. Dayan
Rok vydání: 2019
Předmět:
Zdroj: Acad Emerg Med
ISSN: 1553-2712
1069-6563
Popis: Background Identifying changes in pain score associated with clinically meaningful outcomes is necessary when using self-report measures to assess pain in children. We aimed to determine the changes in pain score associated with a minimum clinically significant difference (MCSD), ideal clinically significant difference (ICSD), and patient-perceived adequate analgesia (PPAA) and to evaluate for differences based on initial pain intensity and patient characteristics. Methods This was a cross-sectional study of children 6 to 17 and 4 to 17 years old who were assessed using the Verbal Numerical Rating Scale (VNRS) and Faces Pain Scale-Revised (FPS-R), respectively. Children qualitatively described any endorsed change in pain score; those who received an analgesic were asked if they wanted additional analgesics to decrease their pain intensity. We used a receiver operating characteristic curve-based methodology to identify changes in pain score associated with "a little less" and "much less" pain (MCSD and ICSD, respectively) and patients declining additional analgesics because of adequate analgesia (PPAA). Results We enrolled 431 children with painful conditions. For the VNRS, raw change and percent reductions in pain scores associated with MCSD, ICSD, and PPAA were 2/10 and 20%, 3/10 and 44%, and 2/10 and 29%, respectively, and for the FPS-R, 2/10 and 33%, 4/10 and 60%, and 4/10 and 40%, respectively. Raw change in pain scores increased with increasing initial pain intensity, but percent reductions remained stable. There were no significant differences based on patient characteristics such as age, sex, and race/ethnicity. Conclusion Our findings provide patient-centered outcomes in children that are suitable for designing trials and are generalizable across patient characteristics.
Databáze: OpenAIRE