A systematic review of sophisticated predictive and prescriptive analytics in child welfare : (Record no. 8199)

MARC details
000 -LEADER
fixed length control field 03291nab a22003617a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625151639.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230530s2023 ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AFVC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hall, Seventy F.
9 (RLIN) 11989
245 ## - TITLE STATEMENT
Title A systematic review of sophisticated predictive and prescriptive analytics in child welfare :
Remainder of title accuracy, equity and bias
Statement of responsibility, etc Seventy F. Hall, Melanie Sage, Carol F. Scott and Kenneth Joseph
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2023
500 ## - GENERAL NOTE
General note Child and Adolescent Social Work Journal, 2023, First published online, 23 May 2023
520 ## - SUMMARY, ETC.
Summary, etc Child welfare agencies increasingly use machine learning models to predict outcomes and inform decisions. These tools are intended to increase accuracy and fairness but can also amplify bias. This systematic review explores how researchers addressed ethics, equity, bias, and model performance in their design and evaluation of predictive and prescriptive algorithms in child welfare. We searched EBSCO databases, Google Scholar, and reference lists for journal articles, conference papers, dissertations, and book chapters published between January 2010 and March 2020. Sources must have reported on the use of algorithms to predict child welfare-related outcomes and either suggested prescriptive responses, or applied their models to decision-making contexts. We calculated descriptive statistics and conducted Mann-Whitney U tests, and Spearman’s rank correlations to summarize and synthesize findings. Of 15 articles, fewer than half considered ethics, equity, or bias or engaged participatory design principles as part of model development/evaluation. Only one-third involved cross-disciplinary teams. Model performance was positively associated with number of algorithms tested and sample size. No other statistical tests were significant. Interest in algorithmic decision-making in child welfare is growing, yet there remains no gold standard for ameliorating bias, inequity, and other ethics concerns. Our review demonstrates that these efforts are not being reported consistently in the literature and that a uniform reporting protocol may be needed to guide research. In the meantime, computer scientists might collaborate with content experts and stakeholders to ensure they account for the practical implications of using algorithms in child welfare settings. (Authors' abstract). New Zealand projects are included in this review. Record #8199
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element CHILD ABUSE
9 (RLIN) 103
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element CHILD PROTECTION
9 (RLIN) 118
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element CHILD WELFARE
9 (RLIN) 124
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element DATA ANALYSIS
9 (RLIN) 181
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element ETHICS
9 (RLIN) 5807
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4928
Topical term or geographic name as entry element PREDICTIVE RISK MODELLING
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SOCIAL WORK PRACTICE
9 (RLIN) 562
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SYSTEMATIC REVIEWS
9 (RLIN) 3140
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name INTERNATIONAL
9 (RLIN) 3624
651 #4 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name UNITED STATES
9 (RLIN) 2646
651 #0 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
9 (RLIN) 5203
Geographic name THE NETHERLANDS
651 #4 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name NEW ZEALAND
9 (RLIN) 2588
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sage, Melanie
9 (RLIN) 11990
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Scott, Carol F.
9 (RLIN) 11991
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Joseph, Kenneth
9 (RLIN) 11992
773 0# - HOST ITEM ENTRY
Title Child and Adolescent Social Work Journal, 2023, First published online, 23 May 2023
830 ## - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Child and Adolescent Social Work Journal
9 (RLIN) 7820
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/s10560-023-00931-2">https://doi.org/10.1007/s10560-023-00931-2</a>
Public note DOI: 10.1007/s10560-023-00931-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Journal article
Classification part news120

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