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Family group decision‐making for children at risk of abuse or neglect: A systematic review

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  • Tony McGinn
  • Paul Best
  • Jason Wilson
  • Admire Chereni
  • Mphatso Kamndaya
  • Aron Shlonsky

Abstract

Background Capturing the scale of child maltreatment is difficult, but few would argue that it is anything less than a global problem which can affect victims’ health and well‐being throughout their life. Systems of detection, investigation and intervention for maltreated children are the subject of continued review and debate. Objectives To assess the effectiveness of the formal use of family group decision‐making (FGDM) in terms of child safety, permanence (of child's living situation), child and family well‐being, and client satisfaction with the decision‐making process. Search Methods Both published and unpublished manuscripts were considered eligible for this review. Library staff from Scholarly Information (Brownless Biomedical Library) University of Melbourne, conducted 14 systematic bibliographic searches. Reviewers also checked the reference lists of all relevant articles obtained, and reference lists from previously published reviews. Researchers also hand‐searched 10 relevant journals. Selection Criteria Study samples of children and young people, aged 0–18 years, who have been the subject of a child maltreatment investigation, were eligible for this review. Studies had to have used random assignment to create treatment and control groups; or, parallel cohorts in which groups were assessed at the same point in time. Any form of FGDM, used in the course of a child maltreatment investigation or service, was considered an eligible intervention if it involved: a concerted effort to convene family, extended family, and community members; and professionals; and involved a planned meeting with the intention of working collaboratively to develop a plan for the safety well‐being of children; with a focus on family‐centred decision‐making. Data Collection and Analysis Two review authors independently extracted the necessary data from each study report, using the software application Covidence. Covidence highlighted discrepancies between data extracted by separate reviewers, further analysis was conducted until a consensus was reached on what data were to be included in the review. Two authors also independently conducted analyses of study bias. Main Results Eighteen eligible study reports were found, providing findings from 15 studies, involving 18 study samples. Four were randomised controlled trials (RCTs; N = 941) the remainder employed quasi‐experimental designs with parallel cohorts. Three of the quasi‐experimental studies used prospective evaluations of nonrandomly assigned comparison groups (N = 4,368); the rest analysed pre‐existing survey data, child protection case files or court data (N = 91,786). The total number of children studied was 97,095. The longest postintervention follow‐up period was 3 years. Only four studies were conducted outside the United States; two in Canada and one in Sweden and one in the Netherlands. The review authors judged there to be a moderate or high risk of bias, in most of the bias categories considered. Only one study referenced a study protocol. Eleven of the fifteen studies were found to have a high likelihood of selection bias (73%). Baseline imbalance bias was deemed to be unlikely in just two studies, and highly likely in nine (60%). Confounding variables were judged to be highly likely in four studies (27%), and contamination bias was judged highly likely in five studies (33%). Researcher allegiance was rated as a high risk in three studies (20%) where the authors argued for the benefits of FGDM within the article, but without supporting references to an appropriate evidence base. Bias from differential diagnostic activity, and funding source bias, were less evident across the evidence reviewed. This review combines findings for eight FGDM outcome measures. Findings from RCTs were available for four outcomes, but none of these, combined in meta‐analysis or otherwise, were statistically significant. Combining findings from the quasi‐experimental studies provided one statistically significant finding, for the reunification of families, favouring FGDM. Ten effect sizes, from nine quasi‐experimental studies, were synthesised to examine effects on the reunification of children with their family or the effect on maintaining in‐home care; in short, the effect FGDM has on keeping families together. There was a high level of heterogeneity between the studies (I2 = 92%). The overall effect, based on the combination of these studies was positive, small, but statistically significant: odds ratio (OR), 1.69 (confidence interval [CI], 1.03, 2.78). Holinshead's (2017) RCT also measured the maintenance on in‐home care and reported a similar result: OR, 1.54 (CI, −0.19, 0.66) not statistically significant. The overall effect for continued maltreatment from meta‐analysis of five quasi‐experimental studies, favoured the FGDM group, but was not statistically significant: OR, 0.73 (CI, 0.48, 1.11). The overall combined effect for continued maltreatment, reported in RCTs, favoured the control group. But it was not statistically significant: OR, 1.29 (CI, 0.85, 1.98). Five effect sizes, from nonrandomised studies, were synthesised to examine the effect of FGDM on the number of kinship placements. The overall positive effect based on the combination of these studies was negligible: OR, 1.31 (CI, 0.94, 1.82). Meta‐analysis was not possible with other outcomes. FGDM's role in expediting case processing and case closures was investigated in six studies, three of which reported findings favouring FGDM, and three which favoured the comparison group. Children's placement stability was reported in two studies: an RCT's findings favoured the control, while a quasi‐experimental study's findings favoured FGDM. Three studies reported findings for service user satisfaction: one had only 30 participants, one reported a statistically significant positive effect for FGDM, the other found no difference between FGDM and a control. Engagement with support services was reported in two studies; neither reported statistically significant findings. Authors' Conclusions The current evidence base, in this field, is insufficient to draw conclusions about the effectiveness of FGDM. These models of child protection decision‐making may help bring about better outcomes for children at risk, or they may increase the risk of further maltreatment. Further research of rigour, designed to avoid the potential biases of previous evaluations, is needed.

Suggested Citation

  • Tony McGinn & Paul Best & Jason Wilson & Admire Chereni & Mphatso Kamndaya & Aron Shlonsky, 2020. "Family group decision‐making for children at risk of abuse or neglect: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(3), September.
  • Handle: RePEc:wly:camsys:v:16:y:2020:i:3:n:e1088
    DOI: 10.1002/cl2.1088
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    References listed on IDEAS

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    1. Landsman, Miriam J. & Boel-Studt, Shamra & Malone, Kelli, 2014. "Results from a family finding experiment," Children and Youth Services Review, Elsevier, vol. 36(C), pages 62-69.
    2. Rauktis, Mary E. & McCarthy, Sharon & Krackhardt, David & Cahalane, Helen, 2010. "Innovation in child welfare: The adoption and implementation of Family Group Decision Making in Pennsylvania," Children and Youth Services Review, Elsevier, vol. 32(5), pages 732-739, May.
    3. Weigensberg, Elizabeth C. & Barth, Richard P. & Guo, Shenyang, 2009. "Family group decision making: A propensity score analysis to evaluate child and family services at baseline and after 36-months," Children and Youth Services Review, Elsevier, vol. 31(3), pages 383-390, March.
    4. Antle, Becky F. & Barbee, Anita P. & Christensen, Dana N. & Sullivan, Dana J., 2009. "The prevention of child maltreatment recidivism through the Solution-Based Casework model of child welfare practice," Children and Youth Services Review, Elsevier, vol. 31(12), pages 1346-1351, December.
    5. Lambert, Matthew C. & Johnson, Leah E. & Wang, Eugene W., 2017. "The impact of family group decision-making on preventing removals," Children and Youth Services Review, Elsevier, vol. 78(C), pages 89-92.
    6. Wang, Eugene W. & Lambert, Matthew C. & Johnson, Leah E. & Boudreau, Brock & Breidenbach, Rebecca & Baumann, Donald, 2012. "Expediting permanent placement from foster care systems: The role of family group decision-making," Children and Youth Services Review, Elsevier, vol. 34(4), pages 845-850.
    7. Appleton, Jane V. & Terlektsi, Emmanouela & Coombes, Lindsey, 2013. "The use of sociograms to explore collaboration in child protection conferences," Children and Youth Services Review, Elsevier, vol. 35(12), pages 2140-2146.
    8. Aguiniga, Donna M. & Madden, Elissa E. & Hawley, Alicia, 2015. "Exploratory analysis of child protection mediation permanency placement outcomes," Children and Youth Services Review, Elsevier, vol. 50(C), pages 20-27.
    9. Berzin, Stephanie Cosner, 2006. "Using sibling data to understand the impact of family group decision-making on child welfare outcomes," Children and Youth Services Review, Elsevier, vol. 28(12), pages 1449-1458, December.
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    1. Rushovich, Berenice & Hebert, Allison & Crampton, David & Malm, Karin, 2021. "Results From A Randomized Controlled Trial Of Team Decision-Making," Children and Youth Services Review, Elsevier, vol. 131(C).

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