000 01876nab a22003017a 4500
005 20250625151356.0
008 150526s2015 -nz||||| |||| 00| 0 eng d
040 _aAFVC
100 _aWilson, Moira L.
_94934
245 _aPredictive modeling:
_cMoira L. Wilson, Sarah Tumen and Anthony G. Simmens
_bpotential application in prevention services
260 _c2014
_bElsevier,
300 _aelectronic document (60 pages); PDF file: 1.49 MB
500 _aAmerican Journal of Preventive Medicine, 2015, 48(6): 509–519
520 _aIn 2012, the New Zealand Government announced a proposal to introduce predictive risk models (PRMs) to help professionals identify and assess children at risk of abuse or neglect as part of a preventive early intervention strategy, subject to further feasibility study and trialing. The purpose of this study is to examine technical feasibility and predictive validity of the proposal, focusing on a PRM that would draw on population-wide linked administrative data to identify newborn children who are at high priority for intensive preventive services. (from the abstract). For all the papers written for MSD, follow the access the website link. Record #4699
650 _aCHILD PROTECTION
_9118
650 _aINTERVENTION
_9326
650 _aPREDICTIVE RISK MODELLING
_94928
650 4 _aSOCIAL SERVICES
_9555
651 4 _aNEW ZEALAND
_92588
650 _9103
_aCHILD ABUSE
700 _aTumen, Sarah
_94935
700 _aSimmens, Anthony G.
_94936
773 0 _tAmerican Journal of Preventive Medicine, 2015, 48(6): 509–519
830 _aAmerican Journal of Preventive Medicine
_94722
856 _uhttp://dx.doi.org/10.1016/j.amepre.2014.12.003
_yRead abstract
856 _uhttp://www.msd.govt.nz/about-msd-and-our-work/publications-resources/research/predicitve-modelling/
_yAccess the website
942 _2ddc
_cREPORT
999 _c4699
_d4699