Prevalence of mental illnesses in domestic violence police records : (Record no. 7014)

MARC details
000 -LEADER
fixed length control field 03550nab a22004097a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625151544.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210219s2020 ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AFVC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Karystianis, George
9 (RLIN) 9732
245 ## - TITLE STATEMENT
Title Prevalence of mental illnesses in domestic violence police records :
Remainder of title text mining study
Statement of responsibility, etc George Karystianis, Annabeth Simpson, Armita Adily, Peter Schofield, David Greenberg, Handan Wand, Goran Nenadic and Tony Butler
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc JMIR Publications,
Date of publication, distribution, etc 2020
500 ## - GENERAL NOTE
General note Journal of Medical Internet Research, 2020, 22:12, 16 pages (Open access)
520 ## - SUMMARY, ETC.
Summary, etc Background: The New South Wales Police Force (NSWPF) records details of significant numbers of domestic violence (DV)events they attend each year as both structured quantitative data and unstructured free text. Accessing information contained in the free text such as the victim’s and persons of interest (POI's) mental health status could be useful in the better management of DV events attended by the police and thus improve health, justice, and social outcomes. Objective: The aim of this study is to present the prevalence of extracted mental illness mentions for POIs and victims in police-recorded DV events. Methods: We applied a knowledge-driven text mining method to recognize mental illness mentions for victims and POIs from police-recorded DV events. Results: In 416,441 police-recorded DV events with single POIs and single victims, we identified 64,587 events (15.51%) with at least one mental illness mention versus 4295 (1.03%) recorded in the structured fixed fields. Two-thirds (67,582/85,880,78.69%) of mental illnesses were associated with POIs versus 21.30% (18,298/85,880) with victims; depression was the most common condition in both victims (2822/12,589, 22.42%) and POIs (7496/39,269, 19.01%). Mental illnesses were most common among POIs aged 0-14 years (623/1612, 38.65%) and in victims aged over 65 years (1227/22,873, 5.36%).Conclusions: A wealth of mental illness information exists within police-recorded DV events that can be extracted using text mining. The results showed mood-related illnesses were the most common in both victims and POIs. Further investigation is required to determine the reliability of the mental illness mentions against sources of diagnostic information. (Authors' abstract). Read a summary of this article and related research in The Conversation (1 February 2021), written by George Karystianis and Tony Butler. Record #7014
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 DOMESTIC VIOLENCE
9 (RLIN) 203
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element INTIMATE PARTNER VIOLENCE
9 (RLIN) 431
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MENTAL HEALTH
9 (RLIN) 377
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 380
Topical term or geographic name as entry element MENTAL ILLNESS
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element PERPETRATORS
9 (RLIN) 2644
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element POLICE
9 (RLIN) 444
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element RISK FACTORS
9 (RLIN) 505
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element VICTIMS OF DOMESTIC VIOLENCE
9 (RLIN) 624
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name INTERNATIONAL
9 (RLIN) 3624
651 #4 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name AUSTRALIA
9 (RLIN) 2597
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Simpson, Annabeth
9 (RLIN) 9733
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Daily, Armita
9 (RLIN) 9734
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Schofield, Peter
9 (RLIN) 9735
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Greenberg, David
9 (RLIN) 9736
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Wand, Handan
9 (RLIN) 9737
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Nenadic, Goran
9 (RLIN) 9738
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Butler, Tony
9 (RLIN) 9739
773 0# - HOST ITEM ENTRY
Title Journal of Medical Internet Research, 2020, 22:12, 16 pages (Open access)
830 ## - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Journal of Medical Internet Research
9 (RLIN) 6599
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.jmir.org/2020/12/e23725/">https://www.jmir.org/2020/12/e23725/</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://theconversation.com/we-analysed-almost-500-000-police-reports-of-domestic-violence-mental-health-was-an-issue-153649">https://theconversation.com/we-analysed-almost-500-000-police-reports-of-domestic-violence-mental-health-was-an-issue-153649</a>
Public note The Conversation, 1 February 2021
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Journal article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Vine library Vine library 19/02/2021   Online ON21020008 19/02/2021 19/02/2021 Access online