Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Raising suspicion of maltreatment from burns: Derivation and validation of the BuRN-Tool

Kemp, Alison ORCID: https://orcid.org/0000-0002-1359-7948, Hollen, Linda, Emond, Alan M., Nuttall, Diane ORCID: https://orcid.org/0000-0002-9305-4547, Rea, David and Maguire, Sabine 2018. Raising suspicion of maltreatment from burns: Derivation and validation of the BuRN-Tool. Burns 44 (2) , pp. 335-343. 10.1016/j.burns.2017.08.018

[thumbnail of BuRN-Tool   v2.pdf]
Preview
PDF - Accepted Post-Print Version
Download (481kB) | Preview
[thumbnail of Supplementary Figure 1]
Preview
PDF (Supplementary Figure 1) - Supplemental Material
Download (152kB) | Preview
[thumbnail of Supplementary figure 2]
Preview
Image (JPEG) (Supplementary figure 2) - Supplemental Material
Download (392kB) | Preview
[thumbnail of Supplementary figure 3]
Preview
Image (JPEG) (Supplementary figure 3) - Supplemental Material
Download (409kB) | Preview
[thumbnail of Supplementary figure 4]
Preview
Image (JPEG) (Supplementary figure 4) - Supplemental Material
Download (414kB) | Preview
[thumbnail of Supplementary figure 5]
Preview
Image (JPEG) (Supplementary figure 5) - Supplemental Material
Download (415kB) | Preview
[thumbnail of Seupplementary table 1]
Preview
PDF (Seupplementary table 1) - Supplemental Material
Download (93kB) | Preview
[thumbnail of Supplementary table 2]
Preview
PDF (Supplementary table 2) - Supplemental Material
Download (14kB) | Preview
[thumbnail of Supplementary table 3]
Preview
PDF (Supplementary table 3) - Supplemental Material
Download (211kB) | Preview

Abstract

Background 10–25% of childhood burns arise from maltreatment. Aim To derive and validate a clinical prediction tool to assist the recognition of suspected maltreatment. Methods Prospectively collected data from 1327 children with burns were analyzed using logistic regression. Regression coefficients for variables associated with ‘referral for child maltreatment investigation’ (112 cases) in multivariable analyses were converted to integers to derive the BuRN-Tool, scoring each child on a continuous scale. A cut-off score for referral was established from receiver operating curve analysis and optimal sensitivity and specificity values. We validated the BuRN-Tool on 787 prospectively collected novel cases. Results Variables associated with referral were: age <5 years, known to social care, concerning explanation, full thickness burn, uncommon body location, bilateral pattern and supervision concern. We established 3 as cut-off score, resulting in a sensitivity and specificity for scalds of 87.5% (95% CI:61.7–98.4) and 81.5% (95% CI:77.1–85.4) respectively and for non-scalds sensitivity was 82.4% (95%CI:65.5–93.2) and specificity 78.7% (95% CI:73.9–82.9) when applied to validation data. Area under the curve was 0.87 (95% CI:0.83–0.90) for scalds and 0.85 (95% CI:0.81–0.88) for non-scalds. Conclusion The BuRN-Tool is a potential adjunct to clinical decision-making, predicting which children warrant investigation for child maltreatment. The score is simple and easy to complete in an emergency department setting.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Publisher: Elsevier
ISSN: 0305-4179
Funders: Scar Free; Health and Care Research Wales
Date of First Compliant Deposit: 21 November 2017
Date of Acceptance: 25 August 2017
Last Modified: 05 Nov 2024 19:15
URI: https://orca.cardiff.ac.uk/id/eprint/104538

Citation Data

Cited 27 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics