Evidence map›Paper›PMID 39473831›Full record

ArticlePaediatric & neonatal pain2024

Digital tools for assessing chronic pain in children (5-11 years): Systematic review.

Amberly Brigden, Megha Garg, Mairi Deighan, Manmita Rai, Jamie Leveret, Esther Crawley

Abstract read
In one paragraph

Article in Paediatric & neonatal pain, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amberly BrigdenDigital Health, School of Computer Science, Electrical and Electronic Engineering University of Bristol Bristol UK.ORCID https://orcid.org/0000-0002-7958-7881
Megha GargBristol Medical School: Population Health Sciences University of Bristol Bristol UK.ORCID https://orcid.org/0000-0003-4921-1936
Mairi DeighanDigital Health, School of Computer Science, Electrical and Electronic Engineering University of Bristol Bristol UK.ORCID https://orcid.org/0000-0003-0660-1678
Manmita RaiKing's Clinical Trial Unit, Institute of Psychiatry, Psychology and Neurosciences King's College London London UK.ORCID https://orcid.org/0000-0001-6232-2716
Jamie LeveretCentre for Academic Child Health, Bristol Medical School University of Bristol Bristol UK.ORCID https://orcid.org/0000-0002-0167-5187
Esther CrawleyCentre for Academic Child Health, Bristol Medical School University of Bristol Bristol UK.ORCID https://orcid.org/0000-0002-2521-0747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric chronic pain places a significant burden on children, their families, and healthcare services. Effective pain measurement is needed for both clinical management and research. Digital pain measurement tools have been developed for adult and adolescent populations however less is known about measurement in younger children. In this systematic review, we aimed to identify, describe, and evaluate (in terms of acceptability) digital tools for the assessment of chronic pain in children (5-11 years). We searched five databases (Cochrane Library, EMBASE, MEDLINE, PsycINFO, and CINAHL), between January 2014 and January 2022. We included empirical studies which included digital tool/s to assess pain in children aged between 5-11 years with chronic pain conditions. We independently double-screened the papers to determine eligibility. We followed PRISMA guidelines for reporting. A total of five papers, covering four digital tools, were included. The digital tools used ranged from a static online survey to a highly interactive, personalized tablet application. Two studies were cross-sectional and two collected longitudinal pain data via electronic devices outside the clinical setting. Digital features of the tools included: dynamic testing (

Indexed as

childchronic paindigital toolspain measurementpediatrics

Identifiers

PMID39473831
PMCPMC11514301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.