National Trends in Emergency Department Visits for Child Maltreatment, 2007-2014

Associations between nurse characteristics, institutional characteristics and perceived nurse knowledge and self-efficacy of reporting suspected child abuse and neglect

AIM

To determine the association between nurse and institutional characteristics and perceived professional nurse knowledge and self-efficacy of reporting child abuse and neglect.

DESIGN

A sample of N = 166 nurses were recruited to respond to the Reporting of Suspected Child Abuse and Neglect (RSCAN) survey.

METHODS

A multiple linear regression examined whether nurse characteristics and institutional characteristics were associated with the two RSCAN survey domain scores.

RESULTS

Perceived knowledge of a workplace child abuse and neglect protocol was associated with the knowledge subscale. Education and child abuse and neglect expertise were significant predictors of the self-efficacy subscale. Nurses with a master's or higher degree and those who identified as being either forensic, paediatric or Emergency Department nurses, had less perceived institutional barriers to self-efficacy of reporting child abuse and neglect.

CONCLUSION

This study provides a preliminary insight into the institutional barriers and facilitators of nurses as child abuse and neglect mandated reporters.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

To encourage innovative education and collaborations to support nurses as fully informed child abuse and neglect mandated reporters.

IMPACT

This research identifies the gaps and facilitators of nurses as child abuse and neglect mandated reporters to inform healthcare professionals and academic institutions on the importance of nurse education and experience in nurse knowledge and self-efficacy in reporting suspected child abuse and neglect.

REPORTING METHODS

The authors of this study have adhered to relevant EQUATOR guidelines: STROBE.

PATIENT OR PUBLIC CONTRIBUTION

There is no patient or public contribution as the study only looked at nurses.

Pilot study using machine learning to improve estimation of physical abuse prevalence

BACKGROUND

International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes have been shown to underestimate physical abuse prevalence. Machine learning models are capable of efficiently processing a wide variety of data and may provide better estimates of abuse.

OBJECTIVE

To achieve proof of concept applying machine learning to identify codes associated with abuse.

PARTICIPANTS AND SETTING

Children <5 years, presenting to the emergency department with an injury or abuse-specific ICD-10-CM code and evaluated by the child protection team (CPT) from 2016 to 2020 at a large Midwestern children's hospital.

METHODS

The Pediatric Health Information System (PHIS) and the CPT administrative databases were used to identify the study sample and injury and abuse-specific ICD-10-CM codes. Subjects were divided into abused and non-abused groups based on the CPT's evaluation. A LASSO logistic regression model was constructed using ICD-10-CM codes and patient age to identify children likely to be diagnosed by the CPT as abused. Performance was evaluated using repeated cross-validation (CV) and Reciever Operator Characteristic curve.

RESULTS

We identified 2028 patients evaluated by the CPT with 512 diagnosed as abused. Using diagnosis codes and patient age, our model was able to accurately identify patients with confirmed PA (mean CV AUC = 0.87). Performance was still weaker for patients without existing ICD codes for abuse (mean CV AUC = 0.81).

CONCLUSIONS

We built a model that employs injury ICD-10-CM codes and age to improve accuracy of distinguishing abusive from non-abusive injuries. This pilot modelling endeavor is a steppingstone towards improving population-level estimates of abuse.

Risk of Injury-Related Readmission Varies by Initial Presenting-Hospital Type Among Children at High Risk for Physical Abuse

OBJECTIVES

Children experiencing physical abuse may initially present to hospitals with underappreciated minor injuries, only to experience more severe injuries in the future. The objectives of this study were to 1) describe young children presenting with high-risk diagnoses for physical abuse, 2) characterize the hospitals to which they initially presented, and 3) evaluate associations of initial presenting-hospital type with subsequent admission for injury.

METHODS

Patients aged younger than 6 years from the 2009-2014 Florida Agency for Healthcare Administration database with high-risk diagnoses (codes previously associated with >70% risk of child physical abuse) were included. Patients were categorized by the hospital type to which they initially presented: community hospital, adult/combined trauma center, or pediatric trauma center. Primary outcome was subsequent injury-related hospital admission within 1 year. Association of initial presenting-hospital type with outcome was evaluated with multivariable logistic regression, adjusting for demographics, socioeconomic status, preexisting comorbidities, and injury severity.

RESULTS

A total of 8626 high-risk children met inclusion criteria. Sixty-eight percent of high-risk children initially presented to community hospitals. At 1 year, 3% of high-risk children had experienced subsequent injury-related admission. On multivariable analysis, initial presentation to a community hospital was associated with higher risk of subsequent injury-related admission (odds ratio, 4.03 vs level 1/pediatric trauma center; 95% confidence interval, 1.83-8.86). Initial presentation to a level 2 adult or combined adult/pediatric trauma center was also associated with higher risk for subsequent injury-related admission (odds ratio, 3.19; 95% confidence interval, 1.40-7.27).

CONCLUSIONS

Most children at high risk for physical abuse initially present to community hospitals, not dedicated trauma centers. Children initially evaluated in high-level pediatric trauma centers had lower risk of subsequent injury-related admission. This unexplained variability suggests stronger collaboration is needed between community hospitals and regional pediatric trauma centers at the time of initial presentation to recognize and protect vulnerable children.

Development and psychometric evaluation of the reporting suspected child abuse and neglect (RSCAN) scale for United States registered nurses

PURPOSE

In the United States (US), nurses have a mandated duty to report child abuse and neglect (CAN). Despite comprising the highest proportion of the US healthcare workforce, limited research has explored the institutional barriers they face in reporting suspected CAN. Furthermore, there is no existing valid and reliable measure of reporting relevant to US. The purpose of this research is to develop and psychometrically evaluate a scale to measure nurse knowledge and self-efficacy as CAN mandated reporters.

DESIGN AND METHODS

The Reporting Suspected Child Abuse and Neglect (RSCAN) tool was developed from two existing international tools to examine institutional barriers and facilitators to US nurses' professional knowledge and reporting of CAN. A convenience sample of one hundred and sixty-six US nurses primarily from the Pacific Northwest responded to an online survey. An exploratory factor analysis (EFA) and Cronbach's α were used to examine validity and internal consistency, respectively, of an initial 16-item scale.

RESULTS

A two-factor model consisting of eight items indicated good model fit (CFI = 0.986, RMSEA = 0.049, and SRMR = 0.028) and was internally consistent (Cronbach's α = 0.822).

CONCLUSION

RSCAN is the first US instrument to reliably measure nurses' professional knowledge and self-efficacy of reporting suspected CAN.

PRACTICE IMPLICATIONS

Future research can build upon these findings to recognize and support nurses in their mandated role to report CAN.

Diagnosis codes dramatically underestimate the burden of abuse

BACKGROUND

International Classification of Diseases (ICD) billing codes are not well-suited to estimate physical abuse prevalence among hospitalized patients and may be even less accurate in emergency departments (EDs). The Centers for Disease Control and Prevention (CDC) has recently published a child abuse and neglect syndromic surveillance definition to more accurately examine national abuse trends among ED visits.

OBJECTIVE

To retrospectively apply the CDC syndromic definition to a population of physically abused children and determine its sensitivity for abuse in an ED and at hospital discharge.

PARTICIPANTS AND SETTING

All physically abused children <5 years seen in the ED and evaluated by the child protection team from 2016 to 2020 at a large Midwestern children's hospital.

METHODS

Retrospective cross-sectional study utilizing the hospital's child protection team administrative database, the Pediatric Health Information System and the electronic health record to identify the study sample, chief complaint, and abuse-specific codes assigned in the ED and at hospital discharge. Abuse-specific codes were defined as all ICD-10-CM and Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) codes included in the CDC syndromic definition, which was applied to the sample and its sensitivity determined.

RESULTS

Among the 550 abused patients identified, most were male (58.4 %), white (65.1 %), <2 years old (80.4 %), and had public insurance (81.6 %). When applying the CDC syndromic definition, only 11.6 % were identified as abused in the ED and 65.3 % were identified at hospital discharge.

CONCLUSIONS

The CDC syndrome surveillance definition lacks sensitivity in identifying abuse in the ED or at hospital discharge.

Trends from 2005 to 2018 in child maltreatment outcomes with caregivers' substance use

BACKGROUND

Caregivers' substance use is associated with child maltreatment.

OBJECTIVE

Examine trends from 2005 to 2018 in percentages of three outcomes with caregivers' drug or alcohol use: child protective services (CPS) referrals, substantiated maltreatment reports, and foster care placements.

PARTICIPANTS AND SETTING

22 U.S. states that contributed child-level maltreatment outcomes and caregivers' substance use data to the National Child Abuse and Neglect Data System from 2005 to 2018.

METHODS

Joinpoint regression was used to examine the average annual percent change (AAPC) in outcomes with caregivers' drug or alcohol use and to identify temporal changes.

RESULTS

From 2005 to 2018, CPS referrals with caregivers' drug use increased (AAPC 2.33, p < .001), while referrals with alcohol use remained unchanged (AAPC -0.11, p = .92) (trend difference p = .04). Substantiated reports with caregivers' drug and alcohol use increased (AAPC drug use 3.63, p < .001, AAPC alcohol use 1.28, p = .03), with a greater increase observed with drug use (difference p = .03). Foster care placements with caregivers' drug use increased (AAPC 2.54, p < .001), while placements with alcohol use did not change (AAPC -1.22, p = .29), (difference p = .005). Within the study period, changes in trends with caregivers' drug use included increased substantiated reports from 2010 to 2018 (p < .001) and increased foster care placements from 2009 to 2018 (p < .001). With caregivers' alcohol use, CPS referrals and foster care placements decreased from 2007 to 2018 (all p < .001).

CONCLUSIONS

Trends differed for outcomes with caregivers' drug versus alcohol use. Findings can inform policies to improve care for families affected by substance use.