ArticleInjury epidemiology2024
Protocolized abuse screening to decrease provider bias and increase capture of potential events.
Article in Injury epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- Pediatric Intensive Care Unit Conflict Management Perspectives Among Physician and Nurse Leaders.JAMA network open · 2025Article
- Promoting Health Equity for Children With Special Health Care Needs and Child Welfare Involvement.Hospital pediatrics · 2025Article
- Bridging knowledge and practice in the prevention of child maltreatment in medicine: an analysis of counselling and training approaches.Frontiers in public health · 2025Article
- An Analysis of the Diversity of Skin Colour Representation in Paediatric Nursing Practitioner Textbooks.Journal of advanced nursing · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEarly identification of child abuse is critical to prevent death and disability. Studies suggest implicit bias of providers may lead to overrepresentation of minority and impoverished children in child abuse reporting. At our institution, universal screening for sexual and physical abuse for all children under 18 years of age was implemented in 2016. A rigorous, objective evaluation protocol focusing on the mechanism of injury and exam findings to improve recognition and eliminate bias was implemented in 2019.
findingsDemographics and clinical characteristics of patients less than 18 years of age were abstracted by chart review (2014-2015) and from a forensic database (2016-2022). International Classification of Diseases codes 995.5 (version 9) and T76.12XA (version 10) were used to identify patients before the establishment of forensic database. Relative frequency and patient characteristics of the three time periods (pre universal screening: 2014-2015, post universal screening: 2016-2019, post protocol implementation: 2020-2022) were compared using Chi-square tests and modified Poisson regression. Universal screening significantly increased the number of cases identified. The demographic profile of potential victims by race significantly changed over the reporting periods with an increased number of white children identified, consistent with state demographics. The proportion of publicly insured patients trended down with universal screening and protocol implementation, despite a significant increase in the number of children publicly insured in the state during this time.
conclusionThese single institutional results lend support to objective, evidence-based protocols to help eliminate bias surrounding race and poverty.
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