| 000 | 02768nab a22003137a 4500 | ||
|---|---|---|---|
| 999 |
_c8200 _d8200 |
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| 005 | 20250625151639.0 | ||
| 008 | 230530s2013 -nz||||| |||| 00| 0 eng d | ||
| 040 | _aAFVC | ||
| 100 |
_aVaithianathan, Rhema _94305 |
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| 245 |
_aChildren in the public benefit system at risk of maltreatment _cRhema Vaithianathan, Tim Maloney, Emily Putnam-Hornstein and _bidentification via predictive modeling |
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| 260 |
_bAmerican College of Preventive Medicine, _c2013 |
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| 500 | _aAmerican Journal of Preventive Medicine, 2013, 45(3): 354-359 | ||
| 520 | _aA growing body of research links child abuse and neglect to a range of negative short- and long-term health outcomes. Determining a child’s risk of maltreatment at or shortly after birth provides an opportunity for the delivery of targeted prevention services. This study presents findings from a predictive risk model (PRM) developed to estimate the likelihood of substantiated maltreatment among children enrolled in New Zealand’s public benefit system. The objective was to explore the potential use of administrative data for targeting prevention and early intervention services to children and families. A data set of integrated public benefit and child protection records for children born in New Zealand between January 1, 2003, and June 1, 2006, was used to develop a risk algorithm using stepwise probit modeling. Data were analyzed in 2012. The final model included 132 variables and produced an area under the receiver operating characteristic curve of 76%. Among children in the top decile of risk, 47.8% had been substantiated for maltreatment by age 5 years. Of all children substantiated for maltreatment by age 5 years, 83% had been enrolled in the public benefit system before age 2 years. This analysis demonstrates that PRMs can be used to generate risk scores for substantiated maltreatment. Although a PRM cannot replace more-comprehensive clinical assessments of abuse and neglect risk, this approach provides a simple and cost-effective method of targeting early prevention services. (Authors' abstract). Record #8200 | ||
| 650 |
_aCHILD ABUSE _9103 |
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| 650 |
_aCHILD NEGLECT _9114 |
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| 650 |
_aCHILD PROTECTION _9118 |
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| 650 |
_aDATA ANALYSIS _9181 |
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| 650 | 0 |
_aPREDICTIVE RISK MODELLING _94928 |
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| 650 | 4 |
_aSOCIAL SERVICES _9555 |
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| 650 |
_aSOCIAL WORK PRACTICE _9562 |
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| 651 | 4 |
_aNEW ZEALAND _92588 |
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| 700 |
_aMaloney, Tim _95617 |
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| 700 |
_aPutnam-Hornstein, Emily _98517 |
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| 700 |
_aJiang, Nan _911993 |
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| 773 | 0 | _tAmerican Journal of Preventive Medicine, 2013, 45(3): 354-359 | |
| 830 |
_aAmerican Journal of Preventive Medicine _94722 |
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| 856 |
_uhttps://doi.org/10.1016/j.amepre.2013.04.022 _zDOI: 10.1016/j.amepre.2013.04.022 |
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| 942 |
_2ddc _cARTICLE |
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