The Experts below are selected from a list of 5757 Experts worldwide ranked by ideXlab platform

Christopher M Homan - One of the best experts on this subject based on the ideXlab platform.

  • an analysis of Domestic Abuse discourse on reddit
    Empirical Methods in Natural Language Processing, 2015
    Co-Authors: Nicolas Schrading, Raymond Ptucha, Christopher M Homan
    Abstract:

    Domestic Abuse affects people of every race, class, age, and nation. There is significant research on the prevalence and effects of Domestic Abuse; however, such research typically involves population-based surveys that have high financial costs. This work provides a qualitative analysis of Domestic Abuse using data collected from the social and news-aggregation website reddit.com. We develop classifiers to detect submissions discussing Domestic Abuse, achieving accuracies of up to 92%, a substantial error reduction over its baseline. Analysis of the top features used in detecting Abuse discourse provides insight into the dynamics of abusive relationships.

  • EMNLP - An Analysis of Domestic Abuse Discourse on Reddit
    Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
    Co-Authors: Nicolas Schrading, Raymond Ptucha, Christopher M Homan
    Abstract:

    Domestic Abuse affects people of every race, class, age, and nation. There is significant research on the prevalence and effects of Domestic Abuse; however, such research typically involves population-based surveys that have high financial costs. This work provides a qualitative analysis of Domestic Abuse using data collected from the social and news-aggregation website reddit.com. We develop classifiers to detect submissions discussing Domestic Abuse, achieving accuracies of up to 92%, a substantial error reduction over its baseline. Analysis of the top features used in detecting Abuse discourse provides insight into the dynamics of abusive relationships.

Julie Mcgarry - One of the best experts on this subject based on the ideXlab platform.

  • Developing a new post for nurses to identify cases of Domestic Abuse.
    Emergency Nurse, 2013
    Co-Authors: Julie Mcgarry, Selecia Kench, Christine Simpson
    Abstract:

    : Nurses working in emergency departments (EDs) need specialist training to identify and respond appropriately to patients who have experienced Domestic Abuse (Gibbons 2011). This article describes the development of a Domestic Abuse nurse specialist role in an ED, a training programme for new ED staff and relevant resources for patients. It also outlines the results of an evaluation of the role and makes recommendations for service development.

  • Safeguarding and Domestic Abuse: An intersection for future policy and practice development
    Journal of care services management, 2012
    Co-Authors: Julie Mcgarry, Christine Simpson, Kathryn Hinsliff-smith
    Abstract:

    There has been a growing recognition among a number of commentators that Domestic Abuse among older people has historically been largely ‘subsumed’ under the umbrella of elder Abuse and that older people have been largely excluded from the discourse surrounding Domestic Abuse. Failure to acknowledge Domestic Abuse as occurring in later life, and as distinct from other forms of family violence, has in turn exerted a considerable impact in terms of the development, or a lack thereof, of appropriate services and care provision to meet the particular needs of older people who have experienced intimate partner violence (IPV). Awareness surrounding Domestic Abuse generally has been growing, and continues to grow in terms of visibility in both policy and practice arenas. However, it also remains unclear how current developments recognise or will explicitly address the needs of older populations. Domestic Abuse in later life can be inherently complex especially where the boundaries of Domestic Abuse and vulnerabi...

  • the impact of Domestic Abuse for older women a review of the literature
    Health & Social Care in The Community, 2011
    Co-Authors: Julie Mcgarry, Chris Simpson, Kathryn Hinchliffsmith
    Abstract:

    The consequences of Domestic Abuse are far reaching, impacting significantly on long-term health and emotional wellbeing of those affected. However, while the literature offers an insight into the scope and nature of Domestic Abuse among the younger population in the UK, there is currently little available data regarding older women and Domestic violence. This is increasingly being recognised as a significant deficit in awareness and understanding within society as a whole and more particularly for those responsible for support and care provision. While research in this area may be scarce the work that has been undertaken to date would suggest that Domestic Abuse is both a significant and an under-recognised phenomenon, which has a wide-ranging impact on the lives and health of older women. It also suggests that older women’s experiences of Domestic Abuse are markedly different from those in younger age groups and that these differences have not been adequately acknowledged or accounted for. Given that the UK has an ageing population and that emerging national policy initiatives are beginning to recognise Domestic Abuse as an issue for older women, it is fundamental that health and social care professionals are able to both identify Domestic Abuse and understand the particular experiences and needs of older women affected by Domestic Abuse. The aim of this literature review is threefold: (i) to provide a comprehensive summary of the impact of Domestic Abuse for older women particularly within the context of health, (ii) to explore the particular barriers to recognition and reporting Abuse and (iii) to highlight the particular gaps in our knowledge and understanding from a policy and care provision perspective. A systematic approach to a review of the literature was used to identify key literature and available evidence relating to Domestic Abuse among older women.

  • How Domestic Abuse affects the wellbeing of older women.
    Nursing Older People, 2010
    Co-Authors: Julie Mcgarry, Christine Simpson, Mansour Mansour
    Abstract:

    AIM: The aim of this study was to explore older women's experience of Domestic Abuse and its effect on their health and lives. METHOD: A qualitative research design was used and data were collected using in-depth interviews with 16 participants. FINDINGS: The consequences of Domestic Abuse for older women have a significant effect on their long-term health and emotional wellbeing. CONCLUSION: There are little available data about older women and Domestic Abuse. This is increasingly being recognised as a significant deficit in awareness and understanding in society as a whole, and more particularly for those responsible for support and care provision.

Ruth Weir - One of the best experts on this subject based on the ideXlab platform.

  • Individuals, Families and Neighbourhoods: Predictors of Domestic Abuse in Essex
    2020
    Co-Authors: Ruth Weir
    Abstract:

    The human and economic cost of Domestic Abuse is enormous. In the UK two women a week are dying as a result of their Abuse and the cost to society and the economy is estimated to be in the region of £66 billion pounds a year. Having the ability to predict those most at risk is essential in identifying victims’ earlier, reducing harm and improving access to support and justice. Domestic Abuse is also one of the most under-reported crimes, with the Crime Survey in England and Wales (CSEW) estimating that only 21 per cent of Abuse is reported to the police. One of the implications of this is that current service responses are broadly designed around the needs of these known victims, even though they only account for one fifth of the likely total. This quantitative research adopts a multi-facated approach, using statistical analysis and geographical information systems, combined with social and geographical theory, to identify the risk factors and predictors of Domestic Abuse at the individual, family and neighbourhood level. The research finds that taking an intersectional approach to analysis at the individual and family level adds particular value, with the risk factors for repeat victimisation varying according to the gender, age and class of the victim and the relationship between the victim and the perpetrator. At the neighbourhood level, this thesis makes a significant and unique contribution to theory and practice, discovering that the predictors of Domestic Abuse are not stationary over space. By combining the findings from each of the empirical chapters an overall causal pathway is proposed.

  • Domestic Abuse: Predicting, Assessing and Responding to Risk in the Criminal Justice System and Beyond
    Women and the Criminal Justice System, 2018
    Co-Authors: Angela Jenner, Ruth Weir
    Abstract:

    This chapter brings together early findings from three Ph.D. projects on Domestic Abuse, each taking a different approach. The first explores the issues of underreporting and predictors of risk; the second focuses on the police response to Domestic Abuse, highlighting gaps in service provision to victims; and the final project looks at specialist courts and the work of independent Domestic violence advisors. This chapter forms a body of research with the potential to make a significant contribution to the field. Indeed, the motivation for each of the projects is to add to current efforts to improve responses to Domestic Abuse within the criminal justice system and beyond, focusing on ways in which practitioners might predict, assess and respond to risk in relation to Domestic Abuse.

Carrie Bancroft - One of the best experts on this subject based on the ideXlab platform.

Andrew M. Featherstone - One of the best experts on this subject based on the ideXlab platform.

  • Can Police Prioritize Highest Risks of Harm Among 6670 Children Exposed to Domestic Abuse?
    Cambridge Journal of Evidence-Based Policing, 2018
    Co-Authors: Andrew M. Featherstone, Geoffrey Barnes, Denis O’connor
    Abstract:

    Research Question Can police prioritize children they encounter by risk of future harm involving those who witnessed Domestic Abuse? Data We tracked the prevalence and frequency of future harm involving all 6670 children who Kent Police (UK) found witnessing Domestic Abuse and referred to Social Services in 2012. A 3-year tracking period lasted exactly 1065 days after the date of each initial referral. Methods Four categories of events were tracked for each child: (1) further witnessing of Domestic Abuse , (2) a child being named as a suspected offender of a criminal offense, (3) a child being reported as a victim of a criminal offense, and (4) a child being reported as a missing person from the home. Findings Further harmful events were highly prevalent (48%), yet over 92% of those events were repeated reports of witnessing Domestic Abuse. Less than 3% of the cohort went on to become a victim of crime, 1.6% were reported missing, and 6% were named as offenders in a crime over the 3 years. Total events including new witnessing of DA were heavily concentrated in a “power few”: under 10% were reported in 50% of the 8685 subsequent events over the next 3 years. Conclusions Tracking subsequent harm to children present at Domestic Abuse shows more than enough concentration of future events to justify selective targeting of resources for further efforts to protect these children, ideally by using advanced predictive analytics such as random forests modeling.

  • can police prioritize highest risks of harm among 6670 children exposed to Domestic Abuse
    Cambridge Journal of Evidence-Based Policing, 2018
    Co-Authors: Andrew M. Featherstone, Geoffrey C Barnes, Denis Oconnor
    Abstract:

    Can police prioritize children they encounter by risk of future harm involving those who witnessed Domestic Abuse? We tracked the prevalence and frequency of future harm involving all 6670 children who Kent Police (UK) found witnessing Domestic Abuse and referred to Social Services in 2012. A 3-year tracking period lasted exactly 1065 days after the date of each initial referral. Four categories of events were tracked for each child: (1) further witnessing of Domestic Abuse, (2) a child being named as a suspected offender of a criminal offense, (3) a child being reported as a victim of a criminal offense, and (4) a child being reported as a missing person from the home. Further harmful events were highly prevalent (48%), yet over 92% of those events were repeated reports of witnessing Domestic Abuse. Less than 3% of the cohort went on to become a victim of crime, 1.6% were reported missing, and 6% were named as offenders in a crime over the 3 years. Total events including new witnessing of DA were heavily concentrated in a “power few”: under 10% were reported in 50% of the 8685 subsequent events over the next 3 years. Tracking subsequent harm to children present at Domestic Abuse shows more than enough concentration of future events to justify selective targeting of resources for further efforts to protect these children, ideally by using advanced predictive analytics such as random forests modeling.