Exploring the protective factors of children and families identified at highest risk of adverse childhood experiences by a predictive risk model (Record no. 8202)

MARC details
000 -LEADER
fixed length control field 04436nab a22002897a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625151639.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230530s2020 -nz||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AFVC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Walsh, Matthew C.
9 (RLIN) 8303
245 ## - TITLE STATEMENT
Title Exploring the protective factors of children and families identified at highest risk of adverse childhood experiences by a predictive risk model
Statement of responsibility, etc Matthew C. Walsh, Sophie Joyce, Tim Maloney and Rhema Vaithianathan
Remainder of title an analysis of the growing up in New Zealand cohort
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Elsevier,
Date of publication, distribution, etc 2020
500 ## - GENERAL NOTE
General note Children and Youth Services Review, 2020, 108: 104556
520 ## - SUMMARY, ETC.
Summary, etc Aims<br/><br/>With increasing access to integrated administrative data, and advances in predictive analytics, it is both theoretically possible and practically feasible to use predictive risk models (PRMs) to automatically risk stratify entire birth-cohorts as to their risk of experiencing multiple adversities in childhood (Vaithianathan et al., 2013, 2018; Rouland & Vaithianathan, 2018). Such automated screening tools allow agencies to identify families at highest risk and offer them preventive services in a timely fashion. However, little is known about what protective factors might exist amongst families who are identified as high risk by PRMs. Identifying protective factors is an important step in designing preventive services for families identified by PRM tools as well as helping social workers take a strengths-based approach to these families.<br/>Methods<br/><br/>We used multiple waves of the Growing Up in New Zealand (GUiNZ) study which follows a cohort of children and their families (n = 5562). Children were coded to reflect the number of adversities they experienced by 54 months based on standard measures of Adverse Childhood Experiences (ACEs) (Felitti et al., 1998). A PRM was trained to predict two or more ACEs experienced by 54 months using only administrative data available at birth and routinely held by the government, and the most at-risk children (comprising the top 20% of risk) were retained for our analysis. This study examines potential protective factors associated with having no observed ACEs despite being predicted to be at high risk of ACEs. We coded these factors from multiple waves of mother and partner surveys, with 749 factors identified as candidate protective factors. These 749 factors were coded into conceptual domains using previous literature: mother-partner, family finances, parent health and wellbeing, community or neighborhood, or parent-child. Forward, backward and multivariable regressions were utilized to identify factors with the strongest associations with having no observed ACEs despite being in the high risk GUiNZ group of children.<br/>Results<br/><br/>Of the whole cohort, 790 children were identified as being at greatest risk. Of these, 164 experienced no observed ACEs. The 749 protective factors that were tested fell into the following domains: mother-partner relationship (9%), family finances (23%), parent health and wellness (14%), community or neighborhood (36%), and parent-child relationship (9%). Those that were significantly associated with high risk children with no observed ACEs were from the following domains: mother-partner relationship (40%), family finances (22%), parent health and wellness (15%), community or neighborhood (13%), and parent-child relationship (13%).<br/>Conclusions<br/><br/>Our findings suggest that important protective factors exist in the domain mother-partner relationship. While many of these factors might not be mutable, these results are suggestive of a useful domain for program designers and policy-makers to consider when serving high risk families. They might also be useful factors on which to focus when approaching families for recruitment into services. (Authors' abstract). Record #8202
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element ADVERSE CHILDHOOD EXPERIENCES
9 (RLIN) 4089
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element DATA ANALYSIS
9 (RLIN) 181
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Growing Up in New Zealand study (GUiNZ)
9 (RLIN) 8305
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element PREDICTIVE RISK MODELLING
9 (RLIN) 4928
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element PROTECTIVE FACTORS
9 (RLIN) 4270
651 #4 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name NEW ZEALAND
9 (RLIN) 2588
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Joyce, Sophie
9 (RLIN) 8306
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Maloney, Tim
9 (RLIN) 5617
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Vaithianathan, Rhema
9 (RLIN) 4305
773 ## - HOST ITEM ENTRY
Title Children and Youth Services Review, 2020, 108: 104556
830 ## - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Children and Youth Services Review
9 (RLIN) 4699
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1016/j.childyouth.2019.104556">https://doi.org/10.1016/j.childyouth.2019.104556</a>
Link text DOI: 10.1016/j.childyouth.2019.104556
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Journal article

No items available.