Child Protection System Interactions for Children With Positive Urine Screens for Illicit Drugs.

Importance: Young children are ingesting illicit drugs at increased rates, but it is unknown what the associated child protection system (CPS) responses are when a child tests positive. Objective: To document the child protection system involvement and the characteristics of children who test positive for illicit substances. Design, Setting, and Participants: This retrospective cross-sectional study linked medical discharge and child protection system administrative data. The setting was Rady Children's Hospital San Diego, a free-standing pediatric hospital in California. Participants included all emergency department and inpatient medical encounters involving children aged 12 years or younger with a positive urine drug test between 2016 and 2021. Statistical analysis was performed from February 2023 to January 2024. Exposure: Drug type, including amphetamines, barbiturates, benzodiazepines, cannabis, cocaine, fentanyl, opiates, and phencyclidine. Main Measures and Outcomes: CPS responses associated with the medical encounter including reports, substantiations, case openings, and out-of-home placements. Results: A total of 511 emergency department and inpatient medical encounters involving children had a positive drug test (262 [51.3%] were female; 309 [60.5%] were age 6 years or younger; fewer than 10 [<3.0%] were American Indian or Alaska Native; 252 [49.3%] were Hispanic [any race], 20 [3.9%] were non-Hispanic Asian, 56 [11.0%] were non-Hispanic Black, 143 [28.0%] were non-Hispanic White, 36 [7.0%] had other or unknown race and ethnicity; 233 [43.6%] had a CPS report prior to the medical encounter). Following the positive screen, 244 (47.7%) were reported to child protection, and 61 (11.9%) were placed out-of-home within 30 days. Mean (SD) quarterly counts of encounters with positive drug tests doubled after the COVID-19 pandemic onset (32.9 [9.8]) compared with prior to the pandemic onset (16.5 [4.7]); for encounters positive for cannabis, mean (SD) quarterly counts were 3 times as high after the pandemic onset than prior (16.6 [4.7] vs 5.7 [2.9]). Encounters for children under age 1 were significantly more likely to have associated child protection reports (relative risk [RR], 2.91 [95% CI, 2.21-3.83]) and child protection case openings (RR, 1.71 [95% CI, 1.07-2.72]) than encounters involving older children. Conclusions and Relevance: In this cross-sectional study of emergency department and inpatient medical encounters, less than half of children with positive urine drug screens were reported to CPS; out-of-home placements were uncommon. With increased encounters for positive drug tests, it is unclear what services these children and families are receiving.

A Longitudinal Study of Health Care Utilization Among Infants Investigated for Maltreatment.

OBJECTIVE: To evaluate whether maltreatment investigated during infancy affects high-acuity health care utilization patterns during early childhood. METHODS: Retrospective case-control study based on linked data between child protection and hospital encounter records conducted to review health records of infants investigated for abuse and/or neglect. Cases and controls were followed longitudinally through the Rady Children's Hospital electronic health records for 4 years starting at the age of 1 year. RESULTS: A total of 3692 children were investigated for maltreatment within the first year of life. When comparisons were made between children reported for maltreatment and matched controls, children with infancy maltreatment reports had significantly more high-acuity health care encounters than matched controls (average treatment effect = 1.53, 95% Confidence Interval 1.08-1.99, P < .001). CONCLUSIONS: Infants investigated for maltreatment have greater high-acuity health care utilization in early childhood. These findings highlight this population's need for well-defined medical homes to ensure appropriate health care. Further understanding of the underlying reasons for this increased health care burden will help inform these efforts.

Counts and child protection reports of diagnosed child maltreatment before and after the COVID-19 pandemic onset.

BACKGROUND: Mechanisms for reporting child maltreatment (CM) were affected by changes in service provision immediately following the onset of the COVID-19 pandemic. OBJECTIVE: To examine changes in counts and CPS reporting of CM medical encounters before and after the onset of COVID-19. PARTICIPANTS AND SETTING: All emergency department and inpatient medical encounters with at least one CM diagnosis during the study period at Rady Children's Hospital San Diego, the largest pediatric hospital in California between 2016 and November 2021. METHODS: Using linked medical record and CPS administrative data, interrupted time series models tested for changes in monthly counts and percentages of CM medical encounters reported to CPS with the onset of COVID-19. Logistic regression tested for the likelihood of a CPS report being associated with a CM encounter. RESULTS: CM medical encounters totaled 2528, including 793 after the onset of COVID-19. Interrupted time series models indicated with the onset of the pandemic, the counts of CM encounters increased 18 % (RR: 1.18, 95 % CI 1.03-1.34) and the percentages reported to CPS increased 10 % (RR: 1.10, 95 % CI: 1.05-1.17). CM encounters that occurred after the onset of the COVID-19 pandemic had increased odds of a CPS report (fully adjusted model: OR: 1.08; 95 % CI: 1.05-1.12). CONCLUSIONS: This study found increases in monthly counts and a higher percentage of CM medical encounters with CPS reports after the pandemic onset.

The Impact of COVID-19 on Infant Maltreatment Emergency Department and Inpatient Medical Encounters.

OBJECTIVE: To assess the counts of infant maltreatment-related medical encounters at a large medical system during a 21-month span of the COVID-19 pandemic. METHODS: Retrospective data for this study came from all inpatient and emergency department medical encounters for infants from January 1, 2016, through November 30, 2021, at a single children's hospital system in California. Distributions of medical encounters were tabulated and plotted over time. Interrupted time series models were used to evaluate changes in child maltreatment medical encounters. RESULTS: Medical encounters for infants with child maltreatment diagnoses increased following the onset of COVID-19. Monthly counts of encounters with indicated maltreatment trended upward following the start of the pandemic. Interrupted time series models showed that the count of maltreatment encounters increased 64% with the onset of COVID-19. CONCLUSIONS: We found an increase in infant maltreatment medical encounters during a 21-month period following the onset of COVID-19. These findings suggest that the pandemic may have adversely affected the safety of infants and ongoing work is needed to understand better the pandemic impacts on child maltreatment.

Lifetime rates and types of subsequent child protection system contact following a first report of neglect: An age-stratified analysis.

An estimated 1 in 3 U.S. children will be the subject of a child protective services (CPS) investigation during their lifetime, typically for allegations of neglect. Whether and how an initial report of neglect is addressed may place children on divergent trajectories for safety and stability throughout childhood. The purpose of this study is to track subsequent CPS contact among children born in California in 2000 who were first investigated by CPS for neglect allegations alone (no co-occurring abuse) and not permanently separated from their families of origin (i.e., not removed or reunified if removed). We estimated the rates of subsequent CPS referrals, substantiated maltreatment, placement in foster care, and allegations of physical and sexual abuse by age 18. We assessed how rates of subsequent contact varied by initial CPS response and age at first investigation. Supplemental analyses disaggregated data by race and ethnicity. Results indicate that 64% of children initially investigated for neglect alone were re-referred to CPS by age 18 and 16% experienced a subsequent removal; however, these estimates varied greatly by age. Four out of five (79% to 83%) of children initially investigated as infants had one or more subsequent CPS referrals during childhood. Children were not only re-referred for allegations of neglect; more than half of children re-referred were reported for allegations of physical or sexual abuse, indicating that abuse risk was either missed during the initial CPS investigation or escalated afterward. The failure to address maltreatment risks when children first present to the system is a complex problem with no easy solution. Our findings document that a majority of children initially referred for neglect experience future CPS involvement, often for allegations of physical or sexual abuse.

An analysis of temporal dimensions in maltreatment reporting and child protection responses.

BACKGROUND: The health services literature indicates that the day and time of a medical encounter is often significant factor in patient outcomes, yet little is known about the role of temporal dimensions in child maltreatment reporting or substantiation. OBJECTIVE: We examined time-specific dynamics of screened-in reports of alleged maltreatment from different reporter sources, including their relationship to the likelihood of substantiation. PARTICIPANTS AND SETTING: We used a population-based dataset of administrative records for 119,758 child protection investigations involving 193,300 unique children in Los Angeles County, California, between 2016 and 2017. METHODS: For each report, we coded three categorical temporal dimensions of the maltreatment report: season, day of the week, and time of day. We descriptively examined how temporal characteristics varied by reporting source. Finally, we ran generalized linear models to estimate the likelihood of substantiation. RESULTS: We observed variability overall and by reporter type for all three measures of time. Reports were less likely during summer months (22.2 %), during the weekend (13.6 %), and after midnight (10.4 %). Counts of reports from law enforcement were more common after midnight and contributed to a greater proportion of substantiations over the weekend than other reporter types. Weekend and morning reports were nearly 10 % more likely than weekday and afternoon to be substantiated, respectively. Reporter type was the most prominent factor for substantiation regardless of temporal dimensions. CONCLUSIONS: Screened-in reports varied by season and other classifications of time, but temporal dimensions exhibited only a modest influence on the likelihood of substantiation.

The Measurement of Intimate Partner Violence Using International Classification of Diseases Diagnostic Codes: A Systematic Review.

Intimate partner violence (IPV) is challenging to measure yet systematic surveillance of IPV is critical to informing public health prevention and response efforts. Administrative medical data provide opportunities for such surveillance, and often use the International Classification of Diseases (ICD). The primary purpose of this systematic review was to document which ICD codes have been used in empirical literature to identify IPV, understand the justification used to select specific codes to develop IPV case definitions, and identify the data sources and types of research questions addressed by the existing literature. We searched 11 databases and of the initial 2182 results, 21 empirical studies from 2000 to 2020 met the study inclusion criteria including using ICD codes to measure IPV. The majority of these studies (90.5%) used either national samples of data or population-based administrative data from emergency departments (52.4%) or inpatient hospitalizations (38.1%). We found wide variation of ICD diagnostic codes to measure IPV and categorized the sets of codes used based on the number of codes. The most commonly used ICD-9 codes were E967.3, 995.81, 995.80, 995.85 and the most common ICD-10 codes were T74.1 and Z63.0. Few studies validated the ICD codes used to measure IPV. Most included studies (81.0%) answered epidemiological research questions. The current study provides suggestions for future research, including justifying the selection of ICD codes and providing a range of estimates based on narrow and broad sets of codes. Implications for policy and practice, including enhanced training for healthcare professionals in documenting IPV, are discussed.

Intimate Partner Violence-Related Emergency Department and Hospital Visits in California Following the ICD-10-CM Transition, 2016-2018.

With the transition to the International Classification of Diseases and Related Health Problems, 10th Revision, Clinical Modification (ICD-10-CM), additional research is needed to understand which diagnostic codes for intimate partner violence (IPV) are being used. The current study examined characteristics of IPV visits and frequency of diagnostic codes to identify IPV in all emergency department (ED) and inpatient hospital visits for adults in California from 2016-2018, after ICD-10-CM implementation. Five ICD-10-CM codes outlined in the Uniform Data System Reporting Instructions were used to identify IPV. Fewer than 0.1% of visits (17,347 ED visits and 1,430 hospitalizations) included documentation of IPV. Visits with documented IPV were more common among patients who were younger, female, Black, primarily English-speaking, and publicly insured compared to visits with no documented IPV. There were fairly consistent patterns over time in the specific ICD-10-CM codes used for IPV between 2016 and 2018. Physical and sexual abuse were the most common codes for types of abuse. Among the 15 EDs and 15 hospitals in California with the highest volume of IPV visits, there was variability in the use of ICD-10-CM codes for IPV visits. Accurate documentation of IPV in administrative data may improve patient care and increase understanding of the burden and effects of IPV on individuals and communities.

The Association of Race, Ethnicity, and Poverty With Child Maltreatment Reporting.

OBJECTIVES: To determine the role of race/ethnicity and poverty in the likelihood of children younger than age 3 years hospitalized because of child abuse and neglect-related injuries being reported to child protective services (CPS) and being assigned a specific maltreatment diagnostic code. METHODS: We used population-based linked administrative data comprising of birth, hospitalization, and CPS records. Children were identified for maltreatment-related hospitalizations using standardized diagnostic codes. Regression models were used to compute crude and adjusted race/ethnicity estimates regarding the likelihood of being reported to CPS and assigned a specific maltreatment diagnostic code during the maltreatment-related hospitalization. RESULTS: Of the 3907 children hospitalized because of child maltreatment, those with public health insurance were more likely than those with private insurance (relative risk [RR]: 1.29; 95% confidence interval [CI], 1.16-1.42) and those with Asian/Pacific Islander mothers were less likely than those with White mothers to be reported to CPS (RR: 0.78; 95% CI, 0.65-0.93). No differences were found for children with Black, Hispanic, and Native American mothers compared with those with White mothers for CPS reporting. However, children with Native American mothers (RR: 1.45; 95% CI, 1.11-1.90) and public health insurance (RR: 2.00; 95% CI, 1.63-2.45) were more likely to have a specific maltreatment diagnostic code, the second strongest predictor of a CPS report. CONCLUSIONS: Race/ethnicity and poverty were factors for CPS reports during a child maltreatment-related hospitalization. It is necessary to implement programs and policies that mitigate implicit bias to prevent inequities in which children receive protective intervention.

Community disadvantage, family socioeconomic status, and racial/ethnic differences in maltreatment reporting risk during infancy.

BACKGROUND: Children are reported for maltreatment during infancy at elevated rates; research has established persistent racial/ethnic differences in the likelihood of reporting to the child protection system (CPS). OBJECTIVE: To model the influence of race/ethnicity and community disadvantage in CPS reporting during infancy. PARTICIPANTS/SETTING: A population-based dataset consisting of more than 1.2 million children born in California between 2012 and 2014. Vital birth records were probabilistically linked to administrative CPS records. American Community Survey data were used to measure community disadvantage. METHODS: For each child, we coded sociodemographic information from the birth record, assigned the child to a community using their residential address at birth, and captured maltreatment reports from child protection records. We employed a modified Poisson regression model to examine an infant's likelihood of being reported to CPS by race/ethnicity across levels of community disadvantage and after adjusting for individual-level covariates. RESULTS: Infants born in neighborhoods with the most concentrated disadvantage were reported to CPS at 7 times the rate of children born in the most advantaged neighborhoods (12.3% vs. 1.8%). After adjusting for individual-level covariates, we found that both Black and Hispanic infants born on public insurance were significantly less likely than White infants to be reported for maltreatment overall - and Black and Hispanic infants had a statistically equivalent or lower likelihood of reporting at the two extremes of neighborhood disadvantage. Among privately insured families, Hispanic infants continued to have a lower likelihood of reporting, but Black infants were reported at higher rates than White infants. This Black-White difference persisted in the most advantaged neighborhoods, but disappeared in the most disadvantaged neighborhoods. CONCLUSIONS: Capturing individual-level differences in socioeconomic status and associated risk factors is critical to understanding sources of racial/ethnic differences in CPS reporting, including when there is unwarranted variation or disparate treatment. Our findings suggest an elevated likelihood of maltreatment reporting among privately insured Black infants not explained by differences in observed risk or neighborhood, but no such differences were documented for Black or Hispanic infants on public insurance.

Domestic Violence Alleged in California Child Maltreatment Reports During the COVID-19 Pandemic.

During the COVID-19 pandemic, reports to child abuse and neglect hotlines have dropped significantly across the United States. Yet, during this same period, calls to domestic violence hotlines have increased. The purpose of this study was to examine if there have been measurable changes in domestic violence-related reports to child abuse and neglect hotlines. Using administrative child protection records from California, we plotted counts and proportions of child maltreatment reports with and without domestic violence allegations before and through the onset of school closures associated with the COVID-19 pandemic. We used an interrupted time series analysis to evaluate whether or not there was a change in domestic violence allegations in child protection reports corresponding to the COVID-19 pandemic. We document that during the first two quarters of 2020 there was a 14.3% drop in the overall number of child protection reports. Despite a decline in maltreatment reporting overall, there was a 25% increase in the proportion of reports with allegations of domestic violence. Our findings suggest both the count and composition of reports to child protection agencies were affected by the COVID-19 pandemic. The current analyses also showcase the seasonality of CPS reports generally, and reports with DV allegations, specifically.

Reports and Removals of Child Maltreatment-Related Hospitalizations: A Population-Based Study.

Despite U.S. child protective services (CPS) agencies relying on mandated reporters to refer concerns of child maltreatment to them, there is little data regarding which children mandated reporters decide to report and not to report. This study addresses this gap by utilizing a population-based linked administrative dataset to identify which children who are hospitalized for maltreatment-related reasons are reported to CPS and which are removed by CPS. The dataset was comprised of all children born in Washington State between 1999 and 2013 (N = 1,271,416), all hospitalizations for children under the age of three, and all CPS records. We identified maltreatment-related hospitalizations using standardized diagnostic codes. We examined the records for children with maltreatment-related hospitalizations to identify hospitalization-related CPS reports and if the child was removed from their parents. We tested for differences in these system responses using multinomial regression. About two-thirds of children identified as experiencing a child maltreatment-related hospitalization were not reported to CPS. We found differences in responses by maltreatment subtype and the type of diagnostic code. Children whose hospitalizations were related to abuse and associated with a specific maltreatment code had increased odds of being both reported to CPS and subsequently removed by CPS.

Co-Reporting of Child Maltreatment and Intimate Partner Violence: The Likelihood of Substantiations and Foster Care Placements.

Intimate partner violence (IPV) negatively affects children. Although IPV-related reports frequently come to the attention of child protective services (CPS), there is neither a unified standard for how CPS systems should respond, nor sufficient research documenting that reaction. The current study used population-based administrative records from California to assess how CPS responds to reported allegations of IPV, with and without physical abuse and/or neglect allegations. We used multinomial regression to model the likelihood of investigation outcomes. Results indicate that 20.7% of CPS reports had IPV alleged during hotline screening, and of those, just 3.2% were screened out compared to 20.2% for reports where IPV was not alleged. Almost half (45.5%) of IPV-alleged reports came from law enforcement, in contrast to 15.2% of reports that did not allege IPV. IPV-alleged reports were more likely to have allegations substantiated without a case opened for services, but less likely to result in foster care placements. Several statistically significant differences were identified by the type of alleged maltreatment co-reported with IPV. This study contributes to an understanding of how CPS responds to IPV-alleged reports.

The Children's Data Network: Harnessing the scientific potential of linked administrative data to inform children's programs and policies.

The Children's Data Network (CDN) is a data and research collaborative focused on the linkage and analysis of administrative records. In partnership with public agencies, philanthropic funders, affiliated researchers, and community stakeholders, we seek to generate knowledge and advance evidence-rich policies that improve the health, safety, and well-being of the children of California. Given our experience negotiating access to and working with existing administrative data (and importantly, data stewards), the CDN has demonstrated its ability to perform cost-effective and rigorous record linkage, answer time-sensitive policy- and program-related questions, and build the public sector's capacity to do the same. Owing to steadfast and generous infrastructure and project support, close collaboration with public partners, and strategic analyses and engagements, the CDN has promoted a person-level and longitudinal understanding of children and families in California and in so doing, informed policy and program development nationwide. We sincerely hope that our experience-and lessons learned-can advance and inform work in other fields and jurisdictions.

The Incidence of Child Maltreatment Resulting in Hospitalizations for Children Under Age 3 Years.

OBJECTIVE: To assess the incidence of child maltreatment-related hospitalizations for children under 3 years for the population of Washington State. STUDY DESIGN: A population-based study using retrospective linked administrative data for all children born in Washington State from 2000 through 2013 (n = 1 191 802). The dataset was composed of linked birth and hospitalization records for the entire state. Child maltreatment-related hospitalizations were identified using diagnostic codes, both specifically attributed to and suggestive of maltreatment. Incidence were calculated for the population, by birth year, by sex, and by maltreatment subtype. RESULTS: A total of 3885 hospitalizations related to child maltreatment were identified for an incidence of 10.87 per 10 000 person-years. Hospitalizations related to child maltreatment accounted for 2.1% of all hospitalizations for children under the age of 3 years. This percentage doubled over time, reaching a high in 2012 (3.6%). More than one-half of all hospitalizations were related to neglect. Maltreatment-related hospitalizations occurred most frequently in the first year of life for all subtypes except for neglect, which occurred the most between 1 and 2 years of age. Male children had higher incidence than female children in general (11.97 vs 9.70 per 10 000 person-years) and across all subtypes. CONCLUSIONS: Hospitalizations can be a useful source of population-based child maltreatment surveillance. The identification of neglect-related hospitalizations, likely the result of supervisory neglect, because the most common subtype is an important finding for the development of prevention programming.

Prevalence of Births and Interactions with Child Protective Services of Children Born to Mothers Diagnosed with an Intellectual and/or Developmental Disability.

OBJECTIVES: Concerns have been raised that parents with intellectual and/or developmental disabilities (IDD) interact with child protective services (CPS) at disproportionate rates than the general population as a result of bias and discrimination. However, there has been little empirical evidence to ascertain if these concerns are grounded. This study's objectives were to identify (a) the prevalence and sociodemographic characteristics of children born to mothers diagnosed with IDD diagnoses, (b) how many of these children interact with CPS (reports and removals) and (c) when these CPS interactions are occurring. METHODS: The dataset was comprised of linked administrative birth, hospital discharge, and CPS records for all children born in one U.S. state between 1999 and 2013 (N = 1,271,419). CPS records were available through the first quarter of 2018 and CPS reports and removals at the child's first and fourth birthdays were identified. We conducted chi-square tests and multivariate survival Cox regression models. RESULTS: A total of 567 children were identified as born to mothers with IDD diagnoses, which is 4.5 per 10,000 births. Of these children, 21.7% were the subject of a CPS report within 1 year and 35.8% within 4 years. In terms of removals, 6.5% experienced removals by 1 year and 8.6% by 4 years. CONCLUSIONS FOR PRACTICE: This study provides population-based knowledge about how and when the children born to mothers diagnosed with IDD interact with CPS. These children have higher rates of CPS interactions than the general population, but these rates are not as high as previously reported.

Incidence and Risk Factors for Abusive Head Trauma: A Population-Based Study.

Previous studies on Abusive Head Trauma (AHT) suggest incidence may vary by geographic location and there is limited information regarding population-based risk factors on this form of child maltreatment. This study provides new knowledge regarding these two aspects using the population of the US state of Washington born between 1999 and 2013. We used a linked administrative dataset comprised of birth, hospital discharge, child protective services (CPS) and death records to identify the scale and risk factors for AHT for the state population using quantitative survival methods. We identified AHT using diagnostic codes in hospital discharge records defined by the US Centers for Disease Control. A total of 354 AHT hospitalisations were identified and the incidence for the state was 22.8 per 100 000 children under the age of one. Over 11 per cent of these children died. Risk factors included a teenaged mother at the time of birth, births paid for using public insurance, child's low birth weight, and maternal Native American race. The strongest risk factor was a prior CPS allegation, a similar finding to a California study on injury mortality. The practice and policy implications of these findings are discussed.

Variation in States' Implementation of CAPTA's Substance-Exposed Infants Mandates: A Policy Diffusion Analysis.

In 2016, federal law changed state child welfare mandates related to prenatally substance-exposed infants. Little is known regarding the status or implications of policy implementation. The current study examined thematic clusters among states' policies responsive to this 2016 mandate. Cluster analysis identified four distinct categories of states' implementation: (1) "innovators/early adopters," (2) "early majority," (3) "late majority," and (4) "laggards." Innovator/early adopter states (n = 14) were most likely to have implemented plan of safe care policies consistent with Child Abuse Prevention and Treatment Act (CAPTA). Early majority states (n = 15) have started developing some aspects of CAPTA 2016 but have some aspects that are still in development. Late majority states (n = 17) have adopted few aspects of CAPTA 2016 but had implemented more CAPTA 2003 and 2010 aspects than states in the laggard cluster. Laggard states (n = 6) have implemented the fewest CAPTA prenatal substance exposure domains. In bivariate analyses, the only variable associated with clusters was Census region (e.g., New England), suggesting that states' implementation decisions may be influenced by their regional neighbors.