| 000 | 03550nab a22004097a 4500 | ||
|---|---|---|---|
| 999 |
_c7014 _d7014 |
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| 005 | 20250625151544.0 | ||
| 008 | 210219s2020 ||||| |||| 00| 0 eng d | ||
| 040 | _aAFVC | ||
| 100 |
_aKarystianis, George _99732 |
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| 245 |
_aPrevalence of mental illnesses in domestic violence police records : _btext mining study _cGeorge Karystianis, Annabeth Simpson, Armita Adily, Peter Schofield, David Greenberg, Handan Wand, Goran Nenadic and Tony Butler |
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| 260 |
_bJMIR Publications, _c2020 |
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| 500 | _aJournal of Medical Internet Research, 2020, 22:12, 16 pages (Open access) | ||
| 520 | _aBackground: 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 |
_aDATA ANALYSIS _9181 |
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| 650 |
_aDOMESTIC VIOLENCE _9203 |
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| 650 |
_aINTIMATE PARTNER VIOLENCE _9431 |
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| 650 |
_aMENTAL HEALTH _9377 |
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| 650 | 4 |
_9380 _aMENTAL ILLNESS |
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| 650 | 4 |
_aPERPETRATORS _92644 |
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| 650 |
_aPOLICE _9444 |
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| 650 |
_aRISK FACTORS _9505 |
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| 650 | 4 |
_aVICTIMS OF DOMESTIC VIOLENCE _9624 |
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| 651 |
_aINTERNATIONAL _93624 |
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| 651 | 4 |
_aAUSTRALIA _92597 |
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| 700 |
_aSimpson, Annabeth _99733 |
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| 700 |
_aDaily, Armita _99734 |
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| 700 |
_aSchofield, Peter _99735 |
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| 700 |
_aGreenberg, David _99736 |
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| 700 |
_aWand, Handan _99737 |
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| 700 |
_aNenadic, Goran _99738 |
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| 700 |
_aButler, Tony _99739 |
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| 773 | 0 | _tJournal of Medical Internet Research, 2020, 22:12, 16 pages (Open access) | |
| 830 |
_aJournal of Medical Internet Research _96599 |
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| 856 | _uhttps://www.jmir.org/2020/12/e23725/ | ||
| 856 |
_uhttps://theconversation.com/we-analysed-almost-500-000-police-reports-of-domestic-violence-mental-health-was-an-issue-153649 _zThe Conversation, 1 February 2021 |
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| 942 |
_2ddc _cARTICLE |
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