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Review
. 2024 Feb;29(1):82-95.
doi: 10.1177/10775595221118606. Epub 2022 Sep 2.

Estimating Surveillance Bias in Child Maltreatment Reporting During Home Visiting Program Involvement

Affiliations
Review

Estimating Surveillance Bias in Child Maltreatment Reporting During Home Visiting Program Involvement

Margaret L Holland et al. Child Maltreat. 2024 Feb.

Abstract

It is unclear if surveillance bias (increased reports to Child Protective Services [CPS] related to program involvement) has a substantial impact on evaluation of home visiting (HV) prevention programs. We estimated surveillance bias using data from Connecticut's HV program, birth certificates, CPS, and hospitals. Using propensity score matching, we identified 15,870 families similar to 4015 HV families. The difference-in-differences approach was used to estimate surveillance bias as the change in investigated reports from the last 6 months of program involvement to the next 6 months. The median age of the children at program exit was 1.2 years (range: 60 days, 5 years). We estimated that 25.6% of investigated reports in the HV group resulted from surveillance bias. We reviewed CPS reports of 194 home-visited families to determine if a home visitor made the report and found that 10% were directly from home visitors. Program evaluations should account for surveillance bias.

Keywords: bias; child; child abuse; child protective services; connecticut; program evaluation; propensity score.

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Conflict of interest statement

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Percentage of families with investigated reports to child protective services in the last 6 months of HV and the first 6 months after program exit.
Figure 2.
Figure 2.
Relative risk of substantiation of child maltreatment and child placement associated with HV involvement, compared to the comparison group, simulated at varying levels of surveillance bias, with 95% confidence intervals.

References

    1. Administration for Children and Families . (2016). Demonstrating improvement in the maternal, infant, and early childhood home visiting program: A report to congress. https://mchb.hrsa.gov/sites/default/files/mchb/MaternalChildHealthInitia...
    1. Alavi M., Visentin D. C., Thapa D. K., Hunt G. E., Watson R., Cleary M. (2020). Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use. Journal of Advanced Nursing, 76(8), 1886–1889. 10.1111/jan.14377 - DOI - PubMed
    1. Austin A. E., Lesak A. M., Shanahan M. E. (2020). Risk and protective factors for child maltreatment: A review. Current Epidemiology Reports, 7(4), 334–342. 10.1007/s40471-020-00252-3 - DOI - PMC - PubMed
    1. Chaffin M., Bard D. (2006). Impact of intervention surveillance bias on analyses of child welfare report outcomes. Child Maltreatment, 11(4), 301–312. 10.1177/1077559506291261 - DOI - PubMed
    1. Chaiyachati B. H., Gaither J. R., Hughes M., Foley-Schain K., Leventhal J. M. (2018). Preventing child maltreatment: Examination of an established statewide home-visiting program. Child Abuse & Neglect, 79, 476–484. 10.1016/j.chiabu.2018.02.019 - DOI - PMC - PubMed

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