Evidence map›Paper›PMID 36168394›Full record

ArticlePain reports

Consistency of pediatric pain ratings between dyads: an updated meta-analysis and metaregression.

Huaqiong Zhou, Matthew A Albrecht, Pam A Roberts, Paul Porter, Phillip R Della

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Article in Pain reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Huaqiong ZhouGeneral Surgical Ward, Perth Children's Hospital, Nedlands, WA, Australia.ORCID https://orcid.org/0000-0003-1520-4463
Matthew A AlbrechtCurtin School of Nursing, Curtin University, Bentley, WA, Australia.ORCID https://orcid.org/0000-0002-6540-5979
Pam A RobertsCurtin School of Nursing, Curtin University, Bentley, WA, Australia.ORCID https://orcid.org/0000-0002-1675-3782
Paul PorterPediatrician, Joondalup Health Campus, Joondalup, WA, Australia.ORCID https://orcid.org/0000-0001-9051-589X
Phillip R DellaCurtin School of Nursing, Curtin University, Perth, Western Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of pediatric pain remains a challenge, especially for children who are preverbal or unable to communicate because of their health condition or a language barrier. A 2008 meta-analysis of 12 studies found a moderate correlation between 3 dyads (child-caregiver, child-nurse, and caregiver-nurse). We updated this meta-analysis, adding papers published up to August 8, 2021, and that included intraclass correlation/weighted kappa statistics (ICC/WK) in addition to standard correlation. Forty studies (4,628 children) were included. Meta-analysis showed moderate pain rating consistency between child and caregiver (ICC/WK = 0.51 [0.39-0.63], correlation = 0.59 [0.52-0.65], combined = 0.55 [0.48-0.62]), and weaker consistency between child and health care provider (HCP) (ICC/WK = 0.38 [0.19-0.58], correlation = 0.49 [0.34-0.55], combined = 0.45; 95% confidence interval 0.34-0.55), and between caregiver and HCP (ICC/WK = 0.27 [-0.06 to 0.61], correlation = 0.49 [0.32 to 0.59], combined = 0.41; 95% confidence interval 0.22-0.59). There was significant heterogeneity across studies for all analyses. Metaregression revealed that recent years of publication, the pain assessment tool used by caregivers (eg, Numerical Rating Scale, Wong-Baker Faces Pain Rating Scale, and Visual Analogue Scale), and surgically related pain were each associated with greater consistency in pain ratings between child and caregiver. Pain caused by surgery was also associated with improved rating consistency between the child and HCP. This updated meta-analysis warrants pediatric pain assessment researchers to apply a comprehensive pain assessment scale Patient-Reported Outcomes Measurement Information System to acknowledge psychological and psychosocial influence on pain ratings.

Indexed as

ConsistencyDyadsMeta-analysisMetaregressionPediatric pain ratings

Identifiers

PMID36168394
PMCPMC9509055

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.