Scaling Up Housing Services Within the Child Welfare System: Policy Insights From Simulation Modeling

A Scoping Review to Identify Community- and Societal-Level Strategies Evaluated from 2013 to 2023 for Their Potential Impact on Child Well-Being in the United States

There is increased recognition for solutions that address the social determinants of health (SDOHs)-the context in which families are raising children. Unfortunately, implementing solutions that address inequities in the SDOHs has proven to be difficult. Many child and family serving systems and communities do not know where to start or do not have the capacity to identify and implement upstream SDOH strategies. As such, we conducted a scoping review to assess the status of evidence connecting strategies that address the SDOHs and child well-being. A total of 29,079 records were identified using natural language processing with 341 records meeting inclusion criteria (e.g., outcomes focused on child well-being, interventions happening at a population level, and evaluations of prevention strategies in the United States). Records were coded, and the findings are presented by the SDOH domain, such as strategies that addressed economic stability (n = 94), education access and quality (n = 17), food security (n = 106), healthcare access and quality (n = 96), neighborhood and built environment (n = 7), and social and community context (n = 12). This review provides an overview of the associations between population-level SDOH strategies and the impact-good and bad-on child well-being and may be a useful resource for communities and practitioners when considering equitable solutions that promote thriving childhoods.

Longitudinal Impacts of Housing Cost Burden on Physical and Psychological Aggression of Children From Age 3 to 15

Housing cost burden is stressful for families, interfering with healthy, positive parenting. The present study uses data from the Future of Families and Child Wellbeing Study to examine the relationship between housing cost burden and aggressive parenting with children age 3 to age 15. Latent growth curve modeling finds that both types of aggressive parenting behaviors decline on average, but that housing cost burden contributes to significant ongoing risk. Results indicate within-time associations between housing cost burden and psychological aggression and associations both within- and across-time between housing cost burden and physical aggression. Housing cost burden poses a significant risk factor for families, and child maltreatment prevention approaches must incorporate strategies for addressing housing cost burden.

Housing hardship and maternal mental health among renter households with young children

Maternal mental health is crucial to healthy family functioning and child well-being. Housing hardship may increase risk for mood disorders among mothers of young children in renter households. The present study used latent class analysis to investigate manifestations of housing hardship during the postpartum year in a sample of renter mothers in the United States (N = 2,329), as well as whether housing hardship types were associated with subsequent maternal depression and anxiety. The majority of mothers were relatively stably housed ("Stable"), one in six made do with governmental rental assistance ("Rent-Assisted"), and more than one in ten struggled to afford or maintain stable housing ("Cost-Burdened" or "Housing Insecure"). The most severe housing hardship was associated with the greatest depression risk, whereas the best determinant of anxiety risk was whether rent was paid each month; mothers whose rent was paid with government assistance did not differ on anxiety risk compared to those who paid their rent independently. Findings suggest that different types of housing hardship are linked with distinct mental health sequelae. Widely available housing assistance may reduce cost burden and prevent displacement, with the potential to reduce mental disorder among low-income mothers of young children.

Agent-based simulation and child protection systems: Rationale, implementation, and verification

BACKGROUND AND OBJECTIVE

Simulation models are an important tool used in health care and other disciplines to support operational research and decision-making. In the child protection literature, simulation models are an under-utilized source of research evidence.

PARTICIPANTS AND SETTING

In this paper, we describe the rationale for and the development of an agent-based simulation of a child protection system in the US. Using the investigation, prevention service, and placement histories of 600,000 children served in an urban child welfare system, we walk the reader through the development of a prototype known as OSPEDALE.

METHODS

The governing equations built into OSPEDALE probabilistically simulate the onset of investigations. Then, drawing from empirical survival distributions, the governing equations trace the probability of subsequent interactions with the system (recurrence of maltreatment, service referrals, and placement) conditional on the characteristics of children, their assessed risk level, and prior child protection system involvement.

RESULTS

As an initial test of OSPEDALE's utility, we compare empirical admission counts with counts generated from OSPEDALE. Though the verification step is admittedly simple, the comparison shows that OSPEDALE replicates the empirical count of new admissions closely enough to justify further investment in OSPEDALE.

CONCLUSIONS

Management of public child protection systems is increasingly research evidence-dependent. The emphasis on research evidence as a decision-support tool has elevated evidence acquired through randomized clinical trials. Though important, the evidence from clinical trials represents only one type of research evidence. Properly specified, simulation models are another source of evidence with real-world relevance.

A Systematic Review of Systems Science Approaches to Understand and Address Domestic and Gender-Based Violence

Purpose

We aimed to synthesize insights from systems science approaches applied to domestic and gender-based violence.

Methods

We conducted a systematic review of systems science studies (systems thinking, group model-building, agent-based modeling [ABM], system dynamics [SD] modeling, social network analysis [SNA], and network analysis [NA]) applied to domestic or gender-based violence, including victimization, perpetration, prevention, and community responses. We used blinded review to identify papers meeting our inclusion criteria (i.e., peer-reviewed journal article or published book chapter that described a systems science approach to domestic or gender-based violence, broadly defined) and assessed the quality and transparency of each study.

Results

Our search yielded 1,841 studies, and 74 studies met our inclusion criteria (45 SNA, 12 NA, 8 ABM, and 3 SD). Although research aims varied across study types, the included studies highlighted social network influences on risks for domestic violence, clustering of risk factors and violence experiences, and potential targets for intervention. We assessed the quality of the included studies as moderate, though only a minority adhered to best practices in model development and dissemination, including stakeholder engagement and sharing of model code.

Conclusions

Systems science approaches for the study of domestic and gender-based violence have shed light on the complex processes that characterize domestic violence and its broader context. Future research in this area should include greater dialogue between different types of systems science approaches, consideration of peer and family influences in the same models, and expanded use of best practices, including continued engagement of community stakeholders.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10896-023-00578-8.

Domains of housing insecurity: Associations with child maltreatment risk

BACKGROUND

Housing insecurity increases risk for child maltreatment, although links from specific domains of housing hardship to specific maltreatment types are not well understood.

OBJECTIVE

The present study tested relationships between three domains of housing - quality, stability, and affordability - with three types of child maltreatment - psychological abuse, physical abuse, and neglect - in a sample of mothers with children age 5-9.

PARTICIPANTS AND SETTING

Data came from a large, longitudinal survey that recruited mothers in hospitals shortly after giving birth in 20 large American cities; five follow-up interviews occurred over 15 years. The analytic sample was limited to mothers who retained at least partial custody when children were aged 5 and 9 and participated in the In-Home sub-study (N = 1804).

METHODS

A measurement model fit using confirmatory factory analysis estimated six latent constructs, while a path analysis estimated links from each housing domain to each maltreatment type.

RESULTS

Housing affordability was associated with reduced psychological and physical abuse (β = -1.10, p < 0.05 and β = -0.66, p < 0.05 respectively), but not with neglect. Neither housing quality nor stability had any significant association with any maltreatment type. The only significant predictor of neglect was maternal depression.

CONCLUSIONS

Housing affordability in particular may protect against maltreatment, but other domains of housing insecurity appear to have little to no effect controlling for other household factors. Findings highlight the need for increased affordable housing supply, as well as mental health supports for families cost-burdened by meeting basic needs.

Using Participatory System Dynamics Modeling to Address Complex Conservation Problems: Tiger Farming as a Case Study

Conservation practitioners routinely work within complex social-ecological systems to address threats facing biodiversity and to promote positive human-wildlife interactions. Inadequate understanding of the direct and indirect, short- and long-term consequences of decision making within these dynamic systems can lead to misdiagnosed problems and interventions with perverse outcomes, exacerbating conflict. Participatory system dynamics (SD) modeling is a process that encourages stakeholder engagement, synthesizes research and knowledge, increases trust and consensus and improves transdisciplinary collaboration to solve these complex types of problems. Tiger conservation exemplifies a set of interventions in a complex social-ecological system. Wild tigers remain severely threatened by various factors, including habitat constraints, human-wildlife conflict, and persistent consumer demand for their body parts. Opinions differ on whether commercial captive tiger facilities reduce or increase the threat from poaching for trade, resulting in policy conflict among diverse stakeholder groups. This paper explains how we are working with international conservation partners in a virtual environment to utilize a participatory SD modeling approach with the goal of better understanding and promoting coexistence of humans and wild tigers. We highlight a step-by-step process that others might use to apply participatory SD modeling to address similar conservation challenges, building trust and consensus among diverse partners to reduce conflict and improve the efficacy of conservation interventions.