ArticleRace and social problems2021
That Which is Essential has been Made Invisible: The Need to Bring a Structural Risk Perspective to Reduce Racial Disproportionality in Child Welfare.
Article in Race and social problems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 59 citations in OpenAlex.
- Contextual Stressors for Black and Latino Families After Child Sexual Abuse.Child maltreatment · 2026Article
- Social workers' perspectives on anti-Black racism and parenting outcomes for incarcerated pregnant women with substance use histories.Journal of social work (London, England) · 2025Article
- A Metric-Based, Meta-Analytic Appraisal of Environmental Enrichment Efficacy in Captive Primates.Animals : an open access journal from MDPI · 2025Review
- Childcare Subsidy Employment and Copayment Requirements and Child Maltreatment.Child maltreatment · 2024Article
- Perinatal interventions to prevent Adverse Childhood Experiences (ACEs): A scoping review.PloS one · 2024Article
- Race, Poverty, and Foster Care Placement in the United States: Longitudinal and Cross-Sectional Perspectives.International journal of environmental research and public health · 2023Article
- Using the Core Components of a Public Health Framework to Create a Child and Family Well-being System: Example from a National Effort, Thriving Families, Safer Children.International journal on child maltreatment : research, policy and practice · 2022Article
- Other Statistical Lives.International journal of environmental research and public health · 2021Article
- An Ecological Model for High-Risk Professional Decision-Making in Mental Health: International Perspectives.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The racial and ethnic disproportionality and disparity in the child protective system (CPS) has been a concern for decades. Structural factors strongly influence engagement with the child welfare system and families experiencing poverty or financial hardship are at a heightened risk. The economic factors influencing child welfare involvement are further complicated by structural racism which has resulted in a greater prevalence of poverty and financial hardship for families who are Black, Native American or Alaska Native (Indigenous), or and Latino/Hispanic (Latino) and their communities. The multiple decision points within CPS are an opportunity to reify or correct for bias in child welfare outcomes. One major effort to eliminate racial disparities and disproportionalities has been to enact standardized decision-making procedures that aim to control for implicit or explicit bias in CPS. The Structured Decision-Making Model's (SDM) actuarial-based risk assessment (RA) is the gold-standard of these efforts. In this conceptual article, we ask (1) How are structural factors accounted for in assessment of risk within CPS? and (2) What are the consequences when structural factors are left out of risk assessments procedures? We posit that the exclusion of race, ethnicity, and economic factors from the RA has inflated the importance of variables that become proxies for these factors, resulting in inaccurate assessments of risk. The construction of this tool reflects how structural racism has been overlooked as an important cause of disproportionality in CPS, with interventions then focused on individual workers and cases, rather than the system at large. We suggest a new framework for thinking about risk, the structural risk perspective, and call for a revisioning of assessment of risk within child welfare that acknowledges the social determinants of CPS involvement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.