Publications by authors named "Eunhye Ahn"

Background: The Report and Placement Integrated Data System (RAPIDS) integrates two U.S. national data systems-NCANDS' child maltreatment report (CMR) records and AFCARS' foster care (FC) records-into a single longitudinal dataset spanning 2006-2021.

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Child maltreatment can affect multiple children in a family, yet its occurrence and chronicity has been often assessed by focusing on a single child. Although this approach provides valuable insights, considering the experiences of all children in a family may provide a more complete understanding of maltreatment dynamics. Using linked birth and child protection system (CPS) records from California, we analyzed 20 years of data on 194,514 first-time mothers to document the prevalence, timing, and chronicity of maternal CPS reporting across multiple children.

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The practice of family separation as a mechanism of oppression has a deep-rooted history in the U.S., manifesting in diverse contexts, including punitive migration policies.

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Background: Early identification of children and families who may benefit from support is crucial for implementing strategies that can prevent the onset of child maltreatment. Predictive risk modeling (PRM) may offer valuable and efficient enhancements to existing risk assessment techniques.

Objective: To evaluate the PRM's effectiveness against the existing assessment tool in identifying children and families needing home visiting services.

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Article Synopsis
  • The study aims to analyze the rate of diagnosed mental health disorders in California Medicaid-insured children under 18 years old, focusing on their involvement with child protection services (CPS).
  • A retrospective analysis was conducted on over 3.3 million Medicaid records from 2014-2015, linking them to CPS data since 1998 to assess mental health diagnoses via classification codes.
  • It found that 14% of Medicaid children had mental health diagnoses, and those involved with CPS were nearly twice as likely to have a diagnosis, highlighting the need for appropriate services for at-home children, as many reported for maltreatment do not enter foster care.
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Child maltreatment recidivism is typically measured and studied at the individual level. Conditions that give rise to child abuse and neglect, however, typically affect multiple children in a given family. In the current study, we estimated maltreatment recidivism at the maternal level and examined its risk as a function of maternal sociodemographic characteristics that may change over time.

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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.

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Background: Youth who exit the nation's foster care system without permanency are at high risk of experiencing difficulties during the transition to adulthood.

Objective: To present an illustrative test of whether an algorithmic decision aid could be used to identify youth at risk of existing foster care without permanency.

Methods: For youth placed in foster care between ages 12 and 14, we assessed the risk of exiting care without permanency by age 18 based on their child welfare service involvement history.

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To document the cumulative childhood risk of different levels of involvement with the child protection system (CPS), including terminations of parental rights (TPRs). We linked vital records for California's 1999 birth cohort (n = 519 248) to CPS records from 1999 to 2017. We used sociodemographic information captured at birth to estimate differences in the cumulative percentage of children investigated, substantiated, placed in foster care, and with a TPR.

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The purpose of this study was to investigate bacterial pathogens and flora in both sick and clinically healthy eels, Anguilla japonica, and the environmental rearing waters of Korean eel farms. Between 2003 and 2010, a total of 621 sick eels were submitted for diagnosis, while 216 healthy eels and 87 environmental water samples were collected during a survey of 26 eel farms in Korea. Seven different bacterial species were obtained from 183 isolates, which were recovered from the internal organs of the 621 sick eels.

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We surveyed the occurrence of edwardsiellosis on eel farms and investigated the characteristics of Edwardsiella tarda isolated from farm-cultured eels in the Republic of Korea. The occurrence rate of edwardsiellosis was 72% in the investigated samples. Among the edwardsiellosis cases, 46% were found to be mixed infections, with parasites and other kinds of bacteria.

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