Factors that influence stress in caregivers of 5-year-old children with hearing loss wearing hearing aids or cochlear implants.

OBJECTIVE: Stress levels among caregivers of children with hearing loss could influence caregiver-child interactions and ultimately, children's developmental outcomes. Given the limited understanding of stress levels among caregivers of Australian children with hearing loss, the present study aimed to examine stress in caregivers of 5-year-old children with hearing loss wearing hearing aids or cochlear implants and to identify factors associated with greater stress levels. METHODS: A total of 99 caregivers of 70 hearing aid users and 29 cochlear implant users participated in the study. Caregivers' stress was measured using the 68-item Pediatric Hearing Impairment Caregiver Experience (PHICE) questionnaire that examines caregivers' context-specific stress levels in relation to caring for a child with hearing loss. Factors contributing to stress were identified in relation to eight domains including communication, education, emotional well-being, equipment, financial, healthcare, social, and support. RESULTS: Across domains, the three most common predictors of increased stress were the use of cochlear implants over hearing aids, use of sign and oral language (mixed) over oral language as the communication mode at home, and increased behavioural difficulties of the child. CONCLUSION: Overall, reported stress levels among Australian caregivers were low. Identified factors influencing stress levels can inform service provision improvement.

Physical health status of individuals convicted of sexual offences: Results from an Australian prisoner cohort.

Although the poor health of prisoners poses a serious public health problem, very little is known about the health of specific offender groups. Three waves of an Australian Inmate Health Survey were used to describe the self-reported and objectively tested health of men incarcerated for sexual offences against children only (ISOC), adults only (ISOA), and against both (age-polymorphous; ISOP) compared to men incarcerated without sexual offences. ISOC and ISOP were found to have the poorest self-reported health of all groups, with higher rates of eyesight and cardiovascular problems; however, lower rates of Hepatitis B and Hepatitis C as objectively measured. There are important implications for the correctional and public health systems for addressing the health needs of specific offenders.

Mental health service utilisation and reoffending in offenders with a diagnosis of psychosis receiving non-custodial sentences: A 14-year follow-up study.

OBJECTIVE: While psychosis is considered a risk factor for offending, little is reported about mental health service utilisation in offenders with psychosis and its relationship with reoffending. We examined the association between contact with mental health services and reoffending in those diagnosed with psychosis. METHODS: We linked health and offending records in New South Wales (Australia) and identified all individuals with a diagnosis of psychosis and a subsequent offence resulting in a non-custodial sentence between 2001 and 2012. We examined the incidence and risk factors for reoffending, and time to reoffending between 2001 and 2015 using Cox regression and Kaplan-Meier survival methods. We specifically examined the association between clinical contact with community mental health services following the index offence and reoffending. RESULTS: Of the 7393 offenders with psychosis, 70% had clinical contact and 49% reoffended. There was a linear relationship between an increased number of clinical contacts and reduced risk of reoffending: those with no clinical contact had more than a fivefold risk of reoffending compared to those with the highest number of contacts (adjusted hazard ratio = 5.78, 95% confidence interval = [5.04, 6.62]). Offenders with substance-related psychosis and those convicted of non-violent offences had fewer clinical contacts and higher rates of reoffending when compared with controls (adjusted hazard ratio = 1.29, 95% confidence interval = [1.13, 1.47] and adjusted hazard ratio = 1.26, 95% confidence interval = [1.18, 1.35], respectively). CONCLUSION: This study supports an association between more frequent mental health service use and reduced risk of reoffending. Efforts to enhance mental health service utilisation in those with psychosis who are at a higher risk of reoffending should be promoted.

Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study.

BACKGROUND: To better understand domestic violence, data sources from multiple sectors such as police, justice, health, and welfare are needed. Linking police data to data collections from other agencies could provide unique insights and promote an all-of-government response to domestic violence. The New South Wales Police Force attends domestic violence events and records information in the form of both structured data and a free-text narrative, with the latter shown to be a rich source of information on the mental health status of persons of interest (POIs) and victims, abuse types, and sustained injuries. OBJECTIVE: This study aims to examine the concordance (ie, matching) between mental illness mentions extracted from the police's event narratives and mental health diagnoses from hospital and emergency department records. METHODS: We applied a rule-based text mining method on 416,441 domestic violence police event narratives between December 2005 and January 2016 to identify mental illness mentions for POIs and victims. Using different window periods (1, 3, 6, and 12 months) before and after a domestic violence event, we linked the extracted mental illness mentions of victims and POIs to clinical records from the Emergency Department Data Collection and the Admitted Patient Data Collection in New South Wales, Australia using a unique identifier for each individual in the same cohort. RESULTS: Using a 2-year window period (ie, 12 months before and after the domestic violence event), less than 1% (3020/416,441, 0.73%) of events had a mental illness mention and also a corresponding hospital record. About 16% of domestic violence events for both POIs (382/2395, 15.95%) and victims (101/631, 16.01%) had an agreement between hospital records and police narrative mentions of mental illness. A total of 51,025/416,441 (12.25%) events for POIs and 14,802/416,441 (3.55%) events for victims had mental illness mentions in their narratives but no hospital record. Only 841 events for POIs and 919 events for victims had a documented hospital record within 48 hours of the domestic violence event. CONCLUSIONS: Our findings suggest that current surveillance systems used to report on domestic violence may be enhanced by accessing rich information (ie, mental illness) contained in police text narratives, made available for both POIs and victims through the application of text mining. Additional insights can be gained by linkage to other health and welfare data collections.

Mental health service contact following release from prison or hospital discharge in those with psychosis.

Background: An association exists between psychosis and criminal offending, which evidence suggests can be reduced by effective mental health care for this vulnerable population. However mental health services often lose contact with people after diagnosis. The association between the first episode of psychosis and criminal offending highlights the need for effective mental health care for this vulnerable population. Aims: To investigate the association between the first diagnosis of psychosis (FDP) in prison or hospital and subsequent mental health service contact following release from prison or discharge from hospital. Materials and methods: Individuals with a FDP either in prison (n = 492) or hospital setting (n = 24,910) between July 2006 and December 2011 in NSW (Australia), were followed post-release or discharge until their first mental health service contact in the community, the occurrence of an offence, death, or completion of the study period at the end of December 2012. Cox regression models were used to examine the predictors for the mental health service contacts following release or discharge. Results: Over 70% of those with a FDP in prison or hospital had a psychosis-related or any community-based mental health service contact following release or discharge between July 2006 and December 2012. Those with a FDP in prison were more likely to have no contact with mental health services than those in hospital with no prior offence record (hazard ratio, HR = 3.14, 95% CI: 2.66-3.72 and adjusted hazard ratio, aHR = 3.05, 95% CI: 2.56-3.63) within a median follow-up time of 25 days for the prison group and 26 days for hospital group. Males, individuals of Aboriginal heritage and individuals diagnosed with substance-related psychoses compared to those with schizophrenia and related psychoses were less likely to have a mental health service contact following release or discharge in both the univariable and multivariable analysis. Conclusion: This study suggests that prior offending or a previous prison episode represents a barrier to mental health service contact in the community for those with a FDP. Effective rehabilitation planning while exiting prison and discharge planning from hospital are essential to the successful reintegration of these individuals with a FDP.

Defining Optimal Post-prison Care for Those With Psychosis: A Delphi Study.

Background: Early treatment (considered as early contact with community mental health services) and treatment retention are associated with reduced reoffending among those with a previous diagnosis of psychosis, yet the attributes of care required to best achieve this is largely unexplored for people with psychosis leaving prison. This study sought consensus from a sample of experts and consumers regarding the attributes of an "optimal model of care" for those with a prior episode of psychosis leaving prison in New South Wales, Australia. Methods: A Delphi method was used, which involved establishing a consensus from a panel of 25 experts and consumers. Following three meetings, 34 model of care attributes and 168 attribute levels were generated for two rounds of online scoring. All attributes and levels were included in the final model if they scored "very important" or "extremely important;" or if the attribute was agreed on by 70% or more of participants. The participant retention rate across scoring rounds was 96% for Round 1 and 84% for Round 2, where consensus was reached. Two "member checking" procedures were undertaken to enhance the integrity of findings: a model "stress test" and an online consumer poll. Results: Thirty-two attributes and 72 attribute levels were included in the final model across four components: pre-release care planning and coordination; treatments in community; diversion from prison; and evaluation. Member checking endorsed a person-centered approach with carers and peer-support central to care. Conclusions: Participants agreed that an optimal model of care should involve a specialized team who works independent of community health service teams to directly deliver certain treatments and services while helping consumers to access external social an economic supports and services.

Self-harm and suicidality among three subgroups of male sex offenders: results from an Australian prisoner cohort.

OBJECTIVE: Prisoners complete suicide and self-harm more frequently than members of the community. Sex offenders have been found to be at greater risk of engaging in these behaviours. This study examines the characteristics, prevalence, and predictors of self-harm and suicide attempts among: sex offenders that only victimise children (ChildSOs); adults (AdultSOs); or both (age-crossover polymorphous; PolySOs). METHODS: Data from three waves (1996, 2001, 2009) of the New South Wales (NSW) Inmate Health Survey was linked to the State's re-offending database to identify men with histories of sexual offending. The health surveys captured self-report data on self-harm and suicidality. RESULTS: Non-sexual violent offenders (15%) and AdultSOs (14%) had the highest rate of self-harm, significantly more than ChildSOs (11%), non-sexual non-violent offenders (10%), and PolySOs (0%). Several factors significantly predicted self-harm at the bivariate level for both ChildSOs and AdultSOs, with unique predictors for each group. At the multivariate level, manic-depression trended towards significance for ChildSOs and any mental health condition remained a significant predictor for AdultSOs who self-harmed relative to AdultSOs who had not (aOR = 11.989, 95%CI [1.14, 126.66]). Approximately 23% of AdultSOs, 22% of PolySOs, and 19% of ChildSOs reported a suicide attempt throughout their lifetime, whereas only 15% of non-sexual non-violent offenders reported an attempt. At the bivariate level, few factors were significant for ChildSOs while several factors were significant for AdultSOs. At the multivariate level, a diagnosis of depression and treatment with psychiatric medication trended towards being significant predictors of suicide attempts for ChildSOs. In contrast, treatment with psychiatric medication (aOR = 25.732, 95%CI [1.91, 347.19])] remained a significant predictor for AdultSOs who attempted suicide relative to AdultSOs who had not, as well as historical psychiatric hospitalisation (aOR = 6.818, 95%CI [1.04, 44.82]) and self-harm (aOR = 5.825, 95%CI [1.31, 25.99]). CONCLUSION: Sex offenders are at significantly higher risk of attempting and completing suicide relative to non-sexual non-violent offenders and warrant special attention. The prevalence rates and predictors of self-harm and suicidality suggest differences between sex offender subgroups may exist. These hold implications for the criminal justice and public health systems for addressing needs and identifying those most at risk of self-harm and suicide.

Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records.

In Australia, domestic violence reports are mostly based on data from the police, courts, hospitals, and ad hoc surveys. However, gaps exist in reporting information such as victim injuries, mental health status and abuse types. The police record details of domestic violence events as structured information (e.g., gender, postcode, ethnicity), but also in text narratives describing other details such as injuries, substance use, and mental health status. However, the voluminous nature of the narratives has prevented their use for surveillance purposes. We used a validated text mining methodology on 492,393 police-attended domestic violence event narratives from 2005 to 2016 to extract mental health mentions on persons of interest (POIs) (individuals suspected/charged with a domestic violence offense) and victims, abuse types, and victim injuries. A significant increase was observed in events that recorded an injury type (28.3% in 2005 to 35.6% in 2016). The pattern of injury and abuse types differed between male and female victims with male victims more likely to be punched and to experience cuts and bleeding and female victims more likely to be grabbed and pushed and have bruises. The four most common mental illnesses (alcohol abuse, bipolar disorder, depression schizophrenia) were the same in male and female POIs. An increase from 5.0% in 2005 to 24.3% in 2016 was observed in the proportion of events with a reported mental illness with an increase between 2005 and 2016 in depression among female victims. These findings demonstrate that extracting information from police narratives can provide novel insights into domestic violence patterns including confounding factors (e.g., mental illness) and thus enable policy responses to address this significant public health problem.

Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study.

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.

Identifying significant contributors for smoking cessation among male prisoners in Australia: results from a randomised clinical trial.

INTRODUCTION: In Australia, an estimated 90% of those entering prison are current tobacco smokers and three-quarters of current prisoners are tobacco smokers. AIMS: To identify factors and their relative contributions to smoking cessation among male prisoners. METHODS: A total of 425 male tobacco smokers with a median age of 32 years in Australian prisons. The primary outcome was continuous abstinence at 3, 6 and 12 months. We measured various sociodemographic characteristics, drug use, psychological distress and the mental and physical health status of the participants. Multivariate logistic regression models and population attributable risks (PAR%) were used to identify the significant factors and their contributions to smoking cessation rates. RESULTS: The median age of participants was 32 years (IQR 25-41 years). High smoking cessation rates were collectively associated with not using drugs, lower psychological distress, good mental health scores and better physical health (PAR%: 93%, 98% and 88% at 3, 6 and 12 months). CONCLUSION: Our study suggests that not using drugs and being in good mental/physical health are the important contributors to continuous abstinence among prisoners. Thus, effective smoking cessation programmes require a multicomponent approach that includes addressing drug problems and mental health functioning. TRIAL REGISTRATION NUMBER: 12606000229572.

Association Between Early Contact With Mental Health Services After an Offense and Reoffending in Individuals Diagnosed With Psychosis.

Importance: Psychosis is a known risk factor for offending behavior, but little is known about the association between clinical contact with mental health services after an offense and reoffending. Objective: To examine the association between early contact with mental health services and reoffending after an index offense in individuals with psychosis. Design, Setting, and Participants: In this cohort study, individuals diagnosed with psychosis before their index offense from July 1, 2001, to December 31, 2012, and who received a noncustodial sentence were identified by linking health and offending databases in New South Wales, Australia. The incidence of and risk factors for reoffending and time to reoffending within 2 years from the index offense were examined using Cox proportional hazards regression and Kaplan-Meier survival estimates. Specifically, the association between contact with mental health services within 30 days after an offense and reoffending was examined. Data were analyzed from July 1, 2019, to March 5, 2020. Exposures: Hospital admission, emergency department presentation, and contact with community mental health services associated with psychosis. Main Outcomes and Measures: Reoffending within 2 years of the index offense was compared in individuals with and without clinical contact with mental health services within 30 days after an offense, with adjustment for potential confounders. Results: Of the 7030 offenders with psychosis (4933 male [70.2%]; median age at the index offense, 34 [interquartile range, 26-42] years), 2605 (37.1%) had clinical contact with mental health services within 30 days after the index offense. The risk of reoffending was significantly lower in those with vs without clinical contact (adjusted hazard ratio [AHR], 0.83; 95% CI, 0.76-0.91). The risk of reoffending was 30% less in male offenders with 5 or more clinical contacts compared with male offenders with no clinical contact (AHR, 0.71; 95% CI, 0.59-0.84). Reoffending in both male and female offenders was associated with younger age (eg, AHR for male offenders aged <18 years, 3.31 [95% CI, 2.39-4.59]; AHR for female offenders aged <18 years, 2.60 [95% CI, 1.69-3.99]) and offending history (eg, AHR for male offenders with ≥4 prior offenses, 2.28 [95% CI, 1.98-2.64]; AHR for female offenders with ≥4 prior offenses, 2.22 [95% CI, 1.67-2.96]). Conclusions and Relevance: In this cohort, early and frequent clinical contact with mental health services after an offense in individuals with psychosis was associated with reduced risk of reoffending in this group. More support may be needed for early treatment of those with serious mental illness who are at risk of reoffending.

Disengagement from mental health treatment and re-offending in those with psychosis: a multi-state model of linked data.

BACKGROUND AND AIMS: Individuals with psychosis are over-represented in the criminal justice system and, as a group, are at elevated risk of re-offending. Recent studies have observed an association between increased contacts with mental health services and reduced re-offending, as well as reduced risk of re-offending in those who are ordered to mental health treatment rather than punitive sanctions. In furthering this work, this study examines the effect of disengagement from mental health treatment on probability of re-offence in offenders with psychosis over time. METHODS: Data linkage was conducted with judicial, health and mortality datasets from New South Wales, Australia (2001-2015). The study population included 4960 offenders with psychosis who received non-custodial sentences and engaged with community-based mental health treatment. Risk factors for leaving treatment and/or reconviction were examined using multivariate cox regression. Further, a multi-state model was used to observe the probabilities associated with individuals moving between three states: conviction, disengagement from mental health treatment and subsequent re-conviction. RESULTS: A threefold increase was observed in the risk of re-offending for those who disengaged from treatment compared to those who did not (aHR = 2.76, 95% CI 1.65-4.62, p < 0.001). The median time until re-offence was 195 days, with the majority (67%) being convicted within one year of leaving treatment. A higher risk of leaving treatment was found for those born outside of Australia, with substance-related psychosis, and a history of violent offence. CONCLUSIONS: The findings argue for an emphasis on continued engagement with mental health services following release for offenders with psychosis and identify subgroups within this population for whom concentrated efforts regarding treatment retention should be targeted.

Implications of sex offender classification on reporting demographic characteristics, health, and criminal careers: results from an Australian jurisdiction.

BACKGROUND: Cross-sectional and retrospective offence data are often used to classify sex offenders in epidemiological and survey research, but little empirical evidence exists regarding the practical implications of this for applied research. This study describes the classification of sex offenders from a cohort of prisoners recruited as part of an Australian inmate health survey and the implications for reporting results. METHODS: Data-linkage was used to join the New South Wales (NSW) Inmate Health Surveys to the states re-offending database to identify men with histories of sexual offending. Sex offenders were classified into men who sexually offended against children only (ChildSOs), against adults only (AdultSOs), and men who sexually offended against both children and adults (Age-PolySOs). RESULTS: Using historical offending data rather than the current offence information only, an additional 35.4% of men with histories of sexual offences were identified. Differences were found between the three sex offender subgroups in terms of demographic characteristics, health, and criminal careers. Age-PolySOs reported higher educational attainment, were less likely to report being self-employed, single marital status, and having children. Half the ChildSOs self-reported a mental health issue and half of the ChildSOs and Age-PolySOs reported four or more chronic health conditions. Age-PolySOs were older than the other sex offender groups when committing their first non-sexual, non-violent crime (M = 43.2 years, SD = 13.8); violent crime (M = 39.5 years, SD = 11.1); and sexual crime (M = 47.8 years, SD = 11.2). Age-PolySOs also committed more sexual offences (M = 5.91, SD = 11.2) compared to those who only offended against one victim age group. CONCLUSION: These findings suggested that historical offending records should be used to more accurately identify sex offender subgroups and that differences in demographic, health, and criminal careers exist for the different sex offender subgroups.

Syphilis testing performance in Aboriginal primary health care: exploring impact of continuous quality improvement over time.

Data from 110 primary healthcare clinics participating in two or more continuous quality improvement (CQI) cycles in preventive care, which included syphilis testing performance (STP) for Aboriginal and Torres Strait Islander people aged between 15 and 54 years, were used to examine whether the number of audit cycles including syphilis testing was associated over time with STP improvement at clinic level in this specific measure of public health importance. The number of cycles per clinic ranged from two to nine (mode 3). As shown by medical record audit at entry to CQI, only 42 (38%) clinics had tested or approached 50% or more of their eligible clients for syphilis in the prior 24 months. Using mixed effects logistic regression, it was found that the odds of a clinic's STP relative to its first cycle increased only modestly. Counterintuitively, clinics undertaking the most preventive health CQI cycles tended to have the lowest STP throughout. Participation in a general preventive care CQI tool was insufficient to achieve and sustain high rates of STP for Aboriginal and Torres Strait Islander people required for public health benefit. Improving STP requires dedicated effort and greater understanding of barriers to effective CQI within and beyond clinic control.

First diagnosis of psychosis in the prison: results from a data-linkage study.

BACKGROUND: Psychosis is more prevalent among people in prison compared with the community. Early detection is important to optimise health and justice outcomes; for some, this may be the first time they have been clinically assessed. AIMS: Determine factors associated with a first diagnosis of psychosis in prison and describe time to diagnosis from entry into prison. METHOD: This retrospective cohort study describes individuals identified for the first time with psychosis in New South Wales (NSW) prisons (2006-2012). Logistic regression was used to identify factors associated with a first diagnosis of psychosis. Cox regression was used to describe time to diagnosis from entry into prison. RESULTS: Of the 38 489 diagnosed with psychosis for the first time, 1.7% (n = 659) occurred in prison. Factors associated with an increased likelihood of being diagnosed in prison (versus community) were: male gender (odds ratio (OR) = 2.27, 95% CI 1.79-2.89), Aboriginality (OR = 1.81, 95% CI 1.49-2.19), older age (OR = 1.70, 95% CI 1.37-2.11 for 25-34 years and OR = 1.63, 95% CI 1.29-2.06 for 35-44 years) and disadvantaged socioeconomic area (OR = 4.41, 95% CI 3.42-5.69). Eight out of ten were diagnosed within 3 months of reception. CONCLUSIONS: Among those diagnosed with psychosis for the first time, only a small number were identified during incarceration with most identified in the first 3 months following imprisonment. This suggests good screening processes are in place in NSW prisons for detecting those with serious mental illness. It is important these individuals receive appropriate care in prison, have the opportunity to have matters reheard and possibly diverted into treatment, and are subsequently connected to community mental health services on release. DECLARATION OF INTEREST: None.

Prison cell spatial density and infectious and communicable diseases: a systematic review.

OBJECTIVE: To summarise the extent and quality of evidence on the association between prison cell spatial density (a measure of crowding) and infectious and communicable diseases transmission among prisoners. DESIGN: Systematic review. DATA SOURCES: Embase, PubMed, Medline, Scopus, Web of Science, PsycINFO, PsycExtra, ProQuest Databases, ProQuest Dissertations and Theses Global, Index to Legal Periodicals, InformitOnline, Cochrane Library, Criminal Justice Abstracts and ICONDA were searched to 31 December 2018. ELIGIBILITY CRITERIA: Studies that reported on the association between prison cell spatial density (measured in square feet or square metres of cell floor area per person) and infectious and communicable diseases in juvenile and adult populations incarcerated in a correctional facility. DATA EXTRACTION AND SYNTHESIS: A review protocol was developed in consultation with an advisory panel. Two reviewers independently extracted data and used the Australian National Health and Medical Research Council's (NHMRC) checklist to critically appraise individual studies. An assessment of the overall body of the evidence was conducted using the NHMRC's Evidence Scale and Statement Form. RESULTS: A total of 5126 articles were initially identified with seven included in the review from Pakistan (2003), Chile (2016), Nigeria (2012, 2013) and the USA (1980s). Infectious and communicable disease outcomes included pneumococcal disease/acute pneumonia, Mycobacterium tuberculosis, latent tuberculosis infection, infectious skin conditions and contagious disease reporting to the prison clinic. Five articles reported statistically significant positive associations but were countered by associations possibly being explained by chance, bias or confounding factors. Heterogeneity prevented meta-analysis. CONCLUSION: Overall, the body of evidence provides some support for an association between prison cell special density and infectious and communicable diseases, but care should be taken in the interpretation and transferability of the findings. Future research and policy responses should adequately consider prospective mediating factors implicated in associations between cell spatial density and health effects.

Correction: Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study.

[This corrects the article DOI: 10.2196/11548.].

Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study.

BACKGROUND: The police attend numerous domestic violence events each year, recording details of these events as both structured (coded) data and unstructured free-text narratives. Abuse types (including physical, psychological, emotional, and financial) conducted by persons of interest (POIs) along with any injuries sustained by victims are typically recorded in long descriptive narratives. OBJECTIVE: We aimed to determine if an automated text mining method could identify abuse types and any injuries sustained by domestic violence victims in narratives contained in a large police dataset from the New South Wales Police Force. METHODS: We used a training set of 200 recorded domestic violence events to design a knowledge-driven approach based on syntactical patterns in the text and then applied this approach to a large set of police reports. RESULTS: Testing our approach on an evaluation set of 100 domestic violence events provided precision values of 90.2% and 85.0% for abuse type and victim injuries, respectively. In a set of 492,393 domestic violence reports, we found 71.32% (351,178) of events with mentions of the abuse type(s) and more than one-third (177,117 events; 35.97%) contained victim injuries. "Emotional/verbal abuse" (33.46%; 117,488) was the most common abuse type, followed by "punching" (86,322 events; 24.58%) and "property damage" (22.27%; 78,203 events). "Bruising" was the most common form of injury sustained (51,455 events; 29.03%), with "cut/abrasion" (28.93%; 51,284 events) and "red marks/signs" (23.71%; 42,038 events) ranking second and third, respectively. CONCLUSIONS: The results suggest that text mining can automatically extract information from police-recorded domestic violence events that can support further public health research into domestic violence, such as examining the relationship of abuse types with victim injuries and of gender and abuse types with risk escalation for victims of domestic violence. Potential also exists for this extracted information to be linked to information on the mental health status.

Court diversion for those with psychosis and its impact on re-offending rates: results from a longitudinal data-linkage study.

BACKGROUND: With significant numbers of individuals in the criminal justice system having mental health problems, court-based diversion programmes and liaison services have been established to address this problem.AimsTo examine the effectiveness of the New South Wales (Australia) court diversion programme in reducing re-offending among those diagnosed with psychosis by comparing the treatment order group with a comparison group who received a punitive sanction. METHOD: Those with psychoses were identified from New South Wales Ministry of Health records between 2001 and 2012 and linked to offending records. Cox regression models were used to identify factors associated with re-offending. RESULTS: A total of 7743 individuals were identified as diagnosed with a psychotic disorder prior to their court finalisation date for their first principal offence. Overall, 26% of the cohort received a treatment order and 74% received a punitive sanction. The re-offending rate in the treatment order group was 12% lower than the punitive sanction group. 'Acts intended to cause injury' was the most common type of the first principal offence for the treatment order group compared with the punitive sanction group (48% v. 27%). Drug-related offences were more likely to be punished with a punitive sanction than a treatment order (12% v. 2%). CONCLUSIONS: Among those with a serious mental illness (i.e. psychosis), receiving a treatment order by the court rather than a punitive sanction was associated with reduced risk for subsequent offending. We further examined actual mental health treatment received and found that receiving no treatment following the first offence was associated with an increased risk of re-offending and, so, highlighting the importance of treatment for those with serious mental illness in the criminal justice system.