Document Type

Journal Article

Publication Title

BMC Pediatrics

Volume

23

Issue

1

PubMed ID

37337167

Publisher

Springer / BMC

School

School of Nursing and Midwifery

RAS ID

61992

Funders

Paincheck

Comments

Arabiat, D., Mörelius, E., Hoti, K., & Hughes, J. (2023). Pain assessment tools for use in infants: A meta-review. BMC Pediatrics, 23, article 307. https://doi.org/10.1186/s12887-023-04099-7

Abstract

Background: Identifying pain in infants is challenging due to their inability to self-report pain, therefore the availability of valid and reliable means of assessing pain is critical. Objective: This meta-review sought to identify evidence that could guide the selection of appropriate tools in this vulnerable population. Methods: We searched Scopus, Medline, Embase, CINAHL, MIDRIS, EMCare and Google Scholar for eligible systematic reviews. Eligible reviews documented psychometric properties of available observational tools used to assess pain in infants. Results: A total of 516 reviews were identified of which 11 met our inclusion criteria. We identified 36 pain assessment tools (evaluated in 11 reviews) of which seven were reported in at least three reviews. The level of evidence reported on the psychometric properties of pain assessment tools varied widely ranging from low to good reliability and validity, whilst there are limited data on usability and clinical utility. Conclusions: Currently, no observer administered pain assessment tool can be recommended as the gold standard due to limited availability and quality of the evidence that supports their validity, reliability and clinical utility. This meta-review attempts to collate the available evidence to assist clinicians to decide on what is the most appropriate tool to use in their clinical practice setting. It is important that researchers adopt a standard approach to evaluating the psychometric properties of pain assessment tools and evaluations of the clinical utility in order that the highest level of evidence can be used to guide tool selection.

DOI

10.1186/s12887-023-04099-7

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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