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OBJECTIVE: Suspicion for child abuse is influenced by implicit biases. Evaluation by a Child Abuse Pediatrician (CAP) may reduce avoidable child protective services (CPS) referrals. Our objective was to investigate the association of patient demographic, social and clinical characteristics with CPS referral before consultation by a CAP (preconsultation referral). METHODS: Children < 5 years-old undergoing in-person CAP consultation for suspected physical abuse from February 2021 through April 2022 were identified in CAPNET, a multicenter child abuse research network. Marginal standardization implemented with logistic regression analysis examined hospital-level variation and identified demographic, social, and clinical factors associated with preconsultation referral adjusting for CAP's final assessment of abuse likelihood. RESULTS: Among the 61% (1005/1657) of cases with preconsultation referral, the CAP consultant had low concern for abuse in 38% (384/1005). Preconsultation referrals ranged from 25% to 78% of cases across 10 hospitals (P < .001). In multivariable analyses, preconsultation referral was associated with public insurance, caregiver history of CPS involvement, history of intimate partner violence, higher CAP level of concern for abuse, hospital transfer, and near-fatality (all P < .05). The difference in preconsultation referral prevalence for children with public versus private insurance was significant for children with low CAP concern for abuse (52% vs 38%) but not those with higher concern for abuse (73% vs 73%), (P = .023 for interaction of insurance and abuse likelihood category). There were no differences in preconsultation referral based on race or ethnicity. CONCLUSIONS: Biases based on socioeconomic status and social factors may impact decisions to refer to CPS before CAP consultation. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Examine the epidemiology of subspecialty physical abuse evaluations within CAPNET, a multicenter child abuse pediatrics research network. METHODS: We conducted a cross-sectional study of children <10 years old who underwent an evaluation (in-person or remote) by a child abuse pediatrician (CAP) due to concerns for physical abuse at ten CAPNET hospital systems from February 2021 through December 2021. RESULTS: Among 3667 patients with 3721 encounters, 69.4% were <3 years old; 44.3% <1 year old, 59.1% male; 27.1% Black; 57.8% White, 17.0% Hispanic; and 71.0 % had public insurance. The highest level of care was outpatient/emergency department in 60.7%, inpatient unit in 28.0% and intensive care in 11.4%. CAPs performed 79.1% in-person consultations and 20.9% remote consultations. Overall, the most frequent injuries were bruises (35.2%), fractures (29.0%), and traumatic brain injuries (TBI) (16.2%). Abdominal (1.2%) and spine injuries (1.6%) were uncommon. TBI was diagnosed in 30.6% of infants but only 8.4% of 1-year old children. In 68.2% of cases a report to child protective services (CPS) was made prior to CAP consultation; in 12.4% a report was made after CAP consultation. CAPs reported no concern for abuse in 43.0% of cases and mild/intermediate concern in 22.3%. Only 14.2% were categorized as definite abuse. CONCLUSION: Most children in CAPNET were <3 years old with bruises, fractures, or intracranial injuries. CPS reports were frequently made prior to CAP consultation. CAPs had a low level of concern for abuse in majority of cases. [ABSTRACT FROM AUTHOR]

Diagnostic excellence is an important domain of healthcare quality. Delays in diagnosis have been described in 20–30% of children with abusive injuries. Despite the well characterized epidemiology, improvement strategies remain elusive. We sought to assess the applicability of diagnostic improvement instruments to cases of non-accidental trauma and to identify potential opportunities for system improvement in child physical abuse diagnosis. We purposefully sampled 10 cases identified as having potential for system level interventions and in which the child had prior outpatient encounters to review. Experts in pediatrics, child abuse, and diagnostic improvement independently reviewed each case and completed SaferDx, a validated instrument used to evaluate the diagnostic process. Cases were subsequently discussed to map potential opportunities for improving the diagnostic process to the DEER Taxonomy, which classifies opportunities by type and phase of the diagnostic process. The most frequent improvement opportunities identified by the SaferDx were in recognition of potential alarm symptoms and in expanding differential diagnosis (5 of 10 cases). The most frequent DEER taxonomy process opportunities were in history taking (8 of 10) and hypothesis generation (7 of 10). Discussion elicited additional opportunities in reconsideration of provisional diagnoses, understanding biopsychosocial risk, and addressing information scatter within the electronic health record (EHR). Applying a diagnostic excellence framework facilitated identification of systems opportunities to improve recognition of child abuse including integration of EHR information to support recognition of alarm symptoms, collaboration to support vulnerable families, and communication about diagnostic reasoning. [ABSTRACT FROM AUTHOR]

The pediatric subspecialty of Child Abuse Pediatrics (CAP) was certified by the American Board of Medical Subspecialties in 2006. Relative to its impact on pediatric health, CAP-focused research has been relatively under-funded. Multi-center networks related to CAP-focused research have made important advances, but have been limited in scope and duration. CAPNET is multi-center network whose mission is to support CAP-focused research. To describe the rationale, development, and scope of the CAPNET research network infrastructure, the CAPNET data registry and associated data resources. Based on existing priorities for CAP-focused research, we used consensus building and iterative testing to establish inclusion criteria, common data elements, data quality assurance, and data sharing processes for children with concerns of physical abuse. We describe the rationale, methods and intended scope for the development of the CAPNET research network and data registry. CAPNET is currently abstracting data for children <10 years (120 months) old who undergo sub-specialty evaluation for physical abuse at 10 US pediatric centers (approximately 4000 evaluations/year total) using an online data capture form. Data domains include: demographics; visit timing and providers, medical/social history, presentation, examination findings, laboratory and radiographic testing, diagnoses, outcomes, and data for contact children. We describe the methods and criteria for collecting and validating data which are broadly available to CAP investigators. CAPNET represents a new data resource for the CAP research community and will increase the quantity and quality of CAP-focused research. [ABSTRACT FROM AUTHOR]