First name
Porcia
Last name
Vaughn

Title

Predictors of Making a Referral to Child Protective Services Prior to Expert Consultation.

Year of Publication

2023

Date Published

05/2023

ISSN Number

1876-2867

Abstract

OBJECTIVES: 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 (pre-consultation 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 pre-consultation referral adjusting for CAP's final assessment of abuse likelihood.

RESULTS: Among the 61% (1005/1657) of cases with pre-consultation referral, the CAP consultant had low concern for abuse in 38% (384/1005). Pre-consultation referrals ranged from 25% to 77% of cases across 10 hospitals (P<0.001). In multivariable analyses, pre-consultation 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<0.05). The difference in pre-consultation 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=0.023 for interaction of insurance and abuse likelihood category). There were no differences in pre-consultation 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.

DOI

10.1016/j.acap.2023.05.002

Alternate Title

Acad Pediatr

PMID

37178908
Featured Publication
No

Title

The CAPNET multi-center data set for child physical abuse: Rationale, methods and scope.

Year of Publication

2022

Number of Pages

105653

Date Published

06/2022

ISSN Number

1873-7757

Abstract

BACKGROUND: 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.

OBJECTIVE: To describe the rationale, development, and scope of the CAPNET research network infrastructure, the CAPNET data registry and associated data resources.

METHODS: 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.

RESULTS: 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.

CONCLUSIONS: CAPNET represents a new data resource for the CAP research community and will increase the quantity and quality of CAP-focused research.

DOI

10.1016/j.chiabu.2022.105653

Alternate Title

Child Abuse Negl

PMID

35779985

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