Caregiver Psychological Maltreatment Behaviors Toward Children on TikTok

We examined TikTok user engagement when parents post videos engaging in psychological maltreatment (PM) behaviors towards their children, using the APSAC-endorsed definition of PM. A new TikTok account was created and seeded with PM behavior videos identified previously; similar videos then appeared on the new account's "For You Page" (an algorithmic feed curated by TikTok). Researchers identified 35 creators who had posted at least one PM behavior video, resulting in their full profile being coded (N = 2684 videos) for five engagement metrics, presence of children, and presence of PM behavior. Non-parametric paired comparisons (Mann-Whitney tests) were made within individual creators for: (1) engagement metrics before and after the first PM behavior video, (2) engagement metrics for PM behavior videos versus non-PM videos, (3) engagement metrics for child videos versus non-child videos, and (4) proportion of videos containing children before and after the first PM video. All but one analysis was significant (effect sizes from .28 to .59, average r = .46). We discuss directions for future research, as well as how child welfare and content moderation policy can be updated to change social norms around sharenting.

Examining the role of child welfare worker characteristics and the substantiation decision

BACKGROUND

The role of child welfare workers is twofold, to promote the safety of children and youth and to address their wellbeing. This provincially legislated mandate requires child welfare workers to make decisions across the child welfare service continuum. After a report of child maltreatment is investigated, workers are required to assess the veracity of the allegation through the substantiation decision and to determine whether the child has been victimized, which may impact on families' future involvement with services. Little is known whether or how individual worker characteristics impact the substantiation decision.

OBJECTIVE AND METHODS

This study estimated the degree of variation across caseworker characteristics in the substantiation decision through secondary data analysis of the Ontario Incidence Study of Reported Child Abuse and Neglect (OIS, 2018). We explored how the substantiation decision varied across clinical and caseworker characteristics, using both simple and multilevel logistic regression models.

RESULTS

Findings suggest that primarily clinical characteristics predicted the substantiation decision, however, worker years of child welfare experience also predicted substantiation, such that more experienced workers were significantly more likely to substantiate than less experienced workers (est = 0.02, SE = 0.01, p < .10). The Intraclass Correlation Coefficient (35 %) suggests differences among child welfare workers' substantiation decision, they are however, characteristics not measured in this study.

CONCLUSIONS

Further research to assess the differential nature of child welfare worker characteristics and their role in decision-making is required.

The evidence base for risk assessment tools used in U.S. child protection investigations: A systematic scoping review

BACKGROUND

Child protective services (CPS) agencies use risk assessment tools to augment decision making about alleged child maltreatment. Under the Family First Prevention Services Act, states and tribes are permitted to claim federal reimbursement for prevention services for children at imminent risk of entering foster care based on assessment tools and protocols. In this context, existing tools are being repurposed. It is critical to reassess the evidence supporting their use.

OBJECTIVE

We aimed to synthesize the evidence pertaining to validity and reliability of specific risk assessment tools designed for CPS agencies, summarize how this work has been carried out, and review the conceptual dimensions of risk included in each tool.

PARTICIPANTS AND SETTING

We included United States-based, quantitative evaluations of risk assessment tools published between 1990 and May 2021.

METHODS

We carried out a scoping review using a protocol in alignment with PRISMA-ScR. We used a multiphase selective screening approach with at least two screeners.

RESULTS

In total, 25 studies met inclusion criteria. Overall, research about the validity and reliability of risk assessment tools is dated and heterogeneous in methodology. The conceptualizations of risk assessment and the operationalization of risk also varied widely. There was a general dearth of evidence that supported the use of tools across demographic subgroups.

CONCLUSIONS

Heterogeneity of studies assessing tool validity and reliability suggests a lack of agreement about how to assess tools and makes it difficult to interpret findings across studies. Agencies should be cautious about overreliance on tools for which evidence is limited.

Racial/ethnic and gender disparities in child protection decision-making: What role do stereotypes play?

BACKGROUND

A wide range of studies have revealed racial/ethnic and gender disparities in child protection decision-making.

OBJECTIVE

This study investigated whether disparities are mediated by stereotypes that professionals may hold, by applying the Stereotype Content Model (SCM) which suggests that stereotypes are formed by perceptions of sociability, morality, and competence.

PARTICIPANTS AND SETTING

258 professionals (133 current staff and 125 trainees) from Colorado participated in the study.

METHODS

The study applied a 2 × 3 randomized experimental vignette design. Participants read a case in which the gender of the parent responsible for maltreatment (mother or father) and race/ethnicity of the family (white, Black, or Latinx) varied.

RESULTS

A SEM model (CFI = .94, RMSEA = .05) with free parameters for trainees and current staff was estimated. No significant association between stereotypes and race/ethnicity and gender appeared. However, evidence for disparities emerged. In the trainee group, scores to decide for a supervision order were higher for white fathers, Black mothers, Latinx mothers, and Latinx fathers (β = 0.18 to 0.25) compared to white mothers. Current staff provided larger risk scores for Black mothers and both Latinx parents (β = 0.20 to 0.22) compared to the white mother, resulting in increased inclinations to decide for a supervision order (β = 0.26). Lastly, negative perceptions of morality increased supervision order scores (β = -0.55 to -0.36).

CONCLUSIONS

Evidence for disparities in decision-making appeared, but the study could not confirm that these disparities were mediated by stereotypes. Furthermore, perceptions of morality seemed to impact decision-making processes.

More Money, More Problems? Addressing the Funding Conditions Required for Rights-Based Child Welfare Services in England

Policymakers and academics continue to debate the criteria used in formulas to allocate funding to children’s services, but few studies have considered how well the results of these formulas align with rights-based entitlements and commitments after implementation. This research measured correspondence between local authority spending per child and levels of income deprivation, special educational needs, and child development from 2011–2019 to assess the extent to which funding matches local authorities’ statutory responsibilities to provide support to children ‘in need’ under the Children Act 1989. There was weak and worsening correspondence between funding and needs, especially for preventative services.

Appropriate responses to potential child abuse: The importance of information quality

BACKGROUND

When people suspect a child or young person is experiencing, or at risk of, abuse or neglect, they have to decide how to respond. However, the under and over reporting of child welfare issues indicate that people may struggle to identify an appropriate response.

OBJECTIVE

To develop scenarios (for future training and research purposes) that closely resemble the child welfare situations health/allied health practitioners encounter, and for which there is a reasonable level of child protection professional consensus as to what the appropriate response for each situation should be.

PARTICIPANTS, SETTING, AND METHODS

We developed 285 scenarios from 190 child protection reports made by health/allied health practitioners to two Australian government child welfare agencies, that covered a range of appropriate response pathways and abuse types. An appropriate response pathway for each scenario was identified by having 34 child protection professionals provide their opinion and rationales.

RESULTS

Child protection professionals displayed moderate (e.g., krippendorf's alpha = 0.58, 95 % CI: 0.52 to 0.62) interrater agreement as to the appropriate response pathway for the scenarios. For 127 of the 285 scenarios (44.56 %), there was strong consensus (K = 0.73, 95 % CI: 0.66 to 0.78).

CONCLUSION

Professional consensus was higher than anticipated from previous research, although still low compared to generally acceptable levels of consensus. Our results suggest several promising avenues to increase professional consensus, such as improving the quality of information that people typically report to child welfare agencies.

The effects of migrant background and parent gender on child protection decision-making: An intersectional analysis

BACKGROUND

Disparities in decision-making are a recognized concern within child protection systems and imply that marginalized groups are being treated unequally compared to majoritized groups. Previous studies reported that both ethnicity and the gender of the parent that maltreated the child seem associated with an increased likelihood that child protection agencies provide services after an investigation or that children are placed out of their homes.

OBJECTIVE

We investigated whether migration background and the gender of the parent who maltreated the child seem associated with the decision whether a case was opened for continuing services. In addition, we inspected whether the intersections between migration background and parent gender were correlated with disparities in decision-making.

PARTICIPANTS AND SETTING

Our multinational sample consisted of 1189 cases that were involved with child protection agencies in England, the Netherlands, and Germany.

METHODS

We systematically coded and analyzed child protection case files. We conducted logistic regression analysis to investigate for disparities in decision-making.

RESULTS

The intersectional analysis showed that maltreatment committed by mothers (OR = 2.25, p =  .001) and migrant fathers (OR = 2.21, p =  .030) was associated with an increased likelihood to provide ongoing services. However, country specific analyses showed that these effects were most pertinent in the English sample.

CONCLUSIONS

These findings suggest a need to address migration background and gender disparities in child protection practice. Future research could investigate whether other contextual factors (e.g. characteristics of the professional and agency) seem associated with disparities in decision-making.

Using family network data in child protection services

Preventing child abuse is a unifying goal. Making decisions that affect the lives of children is an unenviable task assigned to social services in countries around the world. The consequences of incorrectly labelling children as being at risk of abuse or missing signs that children are unsafe are well-documented. Evidence-based decision-making tools are increasingly common in social services provision but few, if any, have used social network data. We analyse a child protection services dataset that includes a network of approximately 5 million social relationships collected by social workers between 1996 and 2016 in New Zealand. We test the potential of information about family networks to improve accuracy of models used to predict the risk of child maltreatment. We simulate integration of the dataset with birth records to construct more complete family network information by including information that would be available earlier if these databases were integrated. Including family network data can improve the performance of models relative to using individual demographic data alone. The best models are those that contain the integrated birth records rather than just the recorded data. Having access to this information at the time a child’s case is first notified to child protection services leads to a particularly marked improvement. Our results quantify the importance of a child’s family network and show that a better understanding of risk can be achieved by linking other commonly available datasets with child protection records to provide the most up-to-date information possible.

Algorithmic Justice in Child Protection: Statistical Fairness, Social Justice and the Implications for Practice

Algorithmic tools are increasingly used in child protection decision-making. Fairness considerations of algorithmic tools usually focus on statistical fairness, but there are broader justice implications relating to the data used to construct source databases, and how algorithms are incorporated into complex sociotechnical decision-making contexts. This article explores how data that inform child protection algorithms are produced and relates this production to both traditional notions of statistical fairness and broader justice concepts. Predictive tools have a number of challenging problems in the child protection context, as the data that predictive tools draw on do not represent child abuse incidence across the population and child abuse itself is difficult to define, making key decisions that become data variable and subjective. Algorithms using these data have distorted feedback loops and can contain inequalities and biases. The challenge to justice concepts is that individual and group rights to non-discrimination become threatened as the algorithm itself becomes skewed, leading to inaccurate risk predictions drawing on spurious correlations. The right to be treated as an individual is threatened when statistical risk is based on a group categorisation, and the rights of families to understand and participate in the decisions made about them is difficult when they have not consented to data linkage, and the function of the algorithm is obscured by its complexity. The use of uninterpretable algorithmic tools may create ‘moral crumple zones’, where practitioners are held responsible for decisions even when they are partially determined by an algorithm. Many of these criticisms can also be levelled at human decision makers in the child protection system, but the reification of these processes within algorithms render their articulation even more difficult, and can diminish other important relational and ethical aims of social work practice.