Preface

Professionals working in child welfare and child protection are making decisions with crucial implicationsfor children and families on a daily basis. The types of judgments and decisions they make vary and include determining whether to substantiate a child abuse allegation, whether a child is at risk of significant harm by parents, and whether to remove a child from home or reunify a child with parents after some time in care. These decisions are intended to help achieve the best interests of the child. Unfortunately, they can sometimes also doom children and families unnecessarily to many years of pain and suffering

Preface

Professionals working in child welfare and child protection are making decisions with crucial implicationsfor children and families on a daily basis. The types of judgments and decisions they make vary and include determining whether to substantiate a child abuse allegation, whether a child is at risk of significant harm by parents, and whether to remove a child from home or reunify a child with parents after some time in care. These decisions are intended to help achieve the best interests of the child. Unfortunately, they can sometimes also doom children and families unnecessarily to many years of pain and suffering

Placement decisions and disparities among Aboriginal groups: An application of the Decision Making Ecology through multi-level analysis

a b s t r a c t Objective: This paper examined the relative influence of clinical and organizational characteristics on the decision to place a child in out-of-home care at the conclusion of a child maltreatment investigation. It tested the hypothesis that extraneous factors, specifically, organizational characteristics, impact the decision to place a child in out-of-home care. A secondary aim was to identify possible decision making influences related to disparities in placement decisions tied to Aboriginal children. Research suggests that the Aboriginal status of the child and structural risk factors affecting the family, such as poverty and poor housing, substantially account for this overrepresentation. Methods: The decision to place a child in out-of-home care was examined using data from the Canadian Incidence Study of Reported Child Abuse and Neglect. This child welfare dataset collected information about the results of nearly 5,000 child maltreatment investigations as well as a description of the characteristics of the workers and organization responsible for conducting those investigations. Multi-level statistical models were developed using MPlus software, which can accommodate dichotomous outcome variables, which are more reflective of decision making in child welfare. Mplus allows the specific case of the logistic link function for binary outcome variables under maximum likelihood estimation. Results: Final models revealed the importance of the number of Aboriginal reports to an organization as a key second level predictor of the placement decision. It is the only second level factor that remains in the final model. This finding was very stable when tested over several different levels of proportionate caseload representation ranging from greater than 50% to 20% of the caseload. Conclusions: Disparities among Aboriginal children in child welfare decision making were identified at the agency level. Practice implications: The study provides additional evidence supporting the possibility that one source of overrepresentation of Aboriginal children in the Canadian foster care system is a lack of appropriate resources at the agency or community level

Child maltreatment data:A summary of progress, prospects and challenges

Background: In 1996, the ISPCAN Working Group on Child Maltreatment Data (ISPCAN-WGCMD) was established to provide an international forum in which individuals, who deal with child maltreatment data in their respective professional roles, can share concerns and solutions. Objective: This commentary describes some of the key features and the status of child maltreatment related data collection addressed by the ISPCAN-WGCMD. Methods: Different types of data collection methods including self-report, sentinel, and administrative data designs are described as well as how they address different needs for information to help understand child maltreatment and systems of prevention and intervention. Results: While still lacking in many parts of the world, access to child maltreatment data has become much more widespread, and in many places a very sophisticated undertaking. Conclusion: The ISPCAN-WGCMD has been an important forum for supporting the continued development and improvement in the global effort to understand and combat child maltreatment thus contributing to the long term goals of the UN Convention on the Rights of the Child. Nevertheless, based on what has been learned, even greater efforts are required to improve data in order to effectively combat child maltreatment.info:eu-repo/semantics/publishedVersio

The 6dF Galaxy Survey: peculiar velocity field and cosmography

We derive peculiar velocities for the 6dF Galaxy Survey (6dFGS) and describe the velocity field of the nearby ($z<0.055$) southern hemisphere. The survey comprises 8885 galaxies for which we have previously reported Fundamental Plane data. We obtain peculiar velocity probability distributions for the redshift space positions of each of these galaxies using a Bayesian approach. Accounting for selection bias, we find that the logarithmic distance uncertainty is 0.11 dex, corresponding to $26\%$ in linear distance. We use adaptive kernel smoothing to map the observed 6dFGS velocity field out to $cz \sim 16,000$ \kms, and compare this to the predicted velocity fields from the PSCz Survey and the 2MASS Redshift Survey. We find a better fit to the PSCz prediction, although the reduced $\chi^2$ for the whole sample is approximately unity for both comparisons. This means that, within the observational uncertainties due to redshift independent distance errors, observed galaxy velocities and those predicted by the linear approximation from the density field agree. However, we find peculiar velocities that are systematically more positive than model predictions in the direction of the Shapley and Vela superclusters, and systematically more negative than model predictions in the direction of the Pisces-Cetus Supercluster, suggesting contributions from volumes not covered by the models.Comment: 22 pages, 14 figures, accepted for publication in MNRAS. Table 1 is available in its entirety as an ancillary file. Fully interactive 3D versions of Figures 11 and 12 are also available as ancillary files. A version of this paper with the 3D versions of Figs. 11 and 12 embedded within the pdf can also be accessed from http://www.6dfgs.net/vfield/veldata.pd

Getting a grip on systems of care and child welfare using opposable thumbs

The purpose of this response paper is to discuss issues raised by two of the components of the definition of systems of care proffered by Hodges et al. [Hodges, S., Ferreira, K., Israel, N., & Mazza, J. (this issue). Systems of care, featherless bipeds, and the measure of all things. Evaluation and Program Planning]. In particular, this response will present some implications of the definition of the focus population and the value and core principle of family-driven care. It will also consider why these two components of the definition might serve as challenges to the applicability of the concept of systems of care to child welfare, and, in turn, integration of the model across child welfare and mental health. Recommendations for expanding and refining these component terms are provided.Child protection Child welfare Systems of care Family driven Collaboration Serious emotional disturbance Young children

Commentary - Child maltreatment surveillance: enumeration, monitoring, evaluation and insight

nul