Inflicted versus unintentional injury: towards improved detection and surveillance of supervisory neglect
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Read the article on jpedsurg.org ↗Article · Nov 2019 · 1 min read
In brief
In brief
Retrospective study of 1,185 pediatric patients uses text analytics to classify supervisory neglect patterns in unintentional injuries, identifying five distinct categories including interrupted supervision and failure to adapt the home environment. Findings demonstrate that supervisory neglect is strongly associated with mechanism-consistent injuries and propose improved detection methods for child protection surveillance systems.
Written by the GCMD Library team from the article.
Background
Many children evaluated for child abuse have non-inflicted injuries due to supervisory neglect. Despite its prevalence, supervisory neglect has received minimal attention.
Methods
We performed a retrospective review of patients maintained in a hospital forensic registry. Text analytics software was used to classify types of supervisory neglect from reported mechanism of injury (MOI). Logistic regression was used to assess risks associated with supervisory neglect.
Results
For 1185 eligible patients, 553 were classified as having unintentional injuries. Text analysis identified four types of supervisory neglect for falls (N = 376): interrupted supervision (53.4%); failure to adapt the home (26.7%); safety equipment non-compliance (12.8%); inadequate substitute care (7.0%); a fifth category was identified for non-falls (N = 54): rough handling (32.0%). Supervisory neglect was associated with MOI consistent with the injury (AOR = 15.5[p
