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Measuring outcomes of safe accommodation: A rapid evidence review

Safe accommodation refers to safe, time limited accommodation for anyone escaping domestic abuse. It includes a range of settings such as refuge accommodation, specialist and dispersed accommodation, sanctuary schemes, and move-on or second-stage housing. In the short-term, support in safe accommodation provides immediate safety for victim-survivors fleeing domestic abuse, and, in the longer-term the aim is for victim survivors to be free from abuse and rebuild their lives.

The most recent national estimates from the Crime Survey for England and Wales showed that 3.8 million people aged 16 years and over experienced domestic abuse in year ending March 2025: 2.2 million females and 1.5 million males. The demand for safe accommodation for those experiencing domestic abuse persistently outweighs supply. Also, there is a shortage of safe accommodation and barriers to access for marginalised groups such as those with no recourse to public funds, or complex mental health and/or substance use need and/or disability access.

While existing evidence provides insight into demand and provision in the context of supported safe accommodation, it does not capture the outcomes experienced by survivors who access safe accommodation. Previous studies have highlighted the diversity and inconsistency of outcomes used to evaluate the impact of domestic abuse services on adults and children, and the need for a shared outcomes framework to develop a coherent national picture of what works.

In response, the Ministry of Housing, Communities and Local Government (MHCLG) commissioned a study to assess the feasibility of establishing a shared outcomes framework for support delivered in safe accommodation. The first stage of the research was a rapid evidence review to synthesise outcomes measured to assess the impact of support for victim-survivors and their children provided in the context of safe accommodation, conducted by Dr Annie Bunce (City St George’s, University of London), Dr Katie Smith and Dr Estela Capelas Barbosa (University of Bristol).

The review constitutes a targeted update and extension of a recently published scoping review of outcomes used to measure the effectiveness of domestic abuse support services conducted by VISION researchers (Carlisle et al., 2024), which identified 426 outcome measures across 80 studies. The current rapid evidence review was restricted to forms of supported safe accommodation, the original searches were updated to include studies published from June 2022 onwards, and barriers to and facilitators of implementing a shared outcomes framework were also reviewed. Seven academic databases were searched alongside three grey literature databases and 164 organisational websites. To be included, papers were required to be UK specific, published in English and focused on interventions delivered within safe accommodation. For the outcomes element of the review, papers were only included if they reported empirically measured outcomes (i.e., outcomes based on data collected and analysed by the authors, rather than purely theoretical, proposed, or assumed outcomes). 

Across the 17 reports meeting the inclusion criteria, outcomes clustered around three core domains: safety, wellbeing, and empowerment, which map broadly onto the Domestic Violence and Abuse Core Outcomes Set. Safety outcomes were the most frequently reported, followed by mental health and psychological wellbeing, while empowerment outcomes such as independence and confidence appeared less consistently. Service-level indicators such as length of stay and move-on destinations were also widely reported but fall outside existing frameworks.

This finding that outcomes measured in the context of safe accommodation broadly cluster around three core domains of safety, wellbeing and empowerment indicates some convergence in how impact is conceptualised. However, outcomes are measured inconsistently across services, with considerable variation in what is captured and how. Furthermore, significant barriers remain to implementing a shared outcomes framework. Developing a consistent approach to outcome measurement could strengthen accountability and support learning across areas.

Recommendations

  1. Frameworks should allow for the capture of relational and subjective aspects of recovery not easily measured through conventional quantitative indicators.
  2. Any national framework must be supported by appropriate data systems, training and analytical capacity to avoid placing additional burden on frontline staff and further disadvantaging smaller (particularly by-and-for) organisations and victim-survivors from marginalised communities.
  3. Future research should focus on further development and validation of measurement tools suitable in the context of safe accommodation, with particular attention to the relevance/meaningfulness of outcomes for victim-survivors themselves. Coordination between research teams is needed to avoid duplication and ensure data collection is harmonised between stakeholders.

To download the rapid evidence review: Measuring Outcomes of Safe Accommodation: A Rapid Evidence Review 

To download the main research report: Domestic_Abuse_Safe_Accommodation_Main_Research_Report.pdf

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The link between Adverse Childhood Experiences and school engagement

By their eighth birthday, an estimated nine in ten New Zealand children will have experienced a form of serious adversity. They might have been neglected, grown up with family violence, lived through a separation, experienced bullying or coped with a parent’s mental illness or substance use problem. These experiences are relevant to education as they can have important and lasting consequences for academic achievement. When a child faces more adversity, it weighs heavily on how they fare at school. School engagement has a significant impact on students’ academic success underscoring the need for a thorough examination of the risk factors contributing to student disengagement within educational environments. The research has been less clear about why that link exists.

A recent study led by Maryam Ghasemi at the University of Auckland, with VISION Senior Research Fellow Ladan Hashemi (City St George’s UoL) and others, examines the longitudinal association between a relatively broad Adverse Childhood Experiences (ACEs) index within Growing Up in New Zealand (GUiNZ) measured up to age 8, and low school engagement at age 12.

The team also explores the potential mediating role of children’s self-esteem and scholastic self-concept in this relationship. Using data from an ethnically diverse longitudinal birth cohort of 3858 children in New Zealand, they investigated how early exposure to adversity influences school engagement at age 12.

The research demonstrates that exposure to a greater number of adversities by age 8 is associated with lower levels of school engagement at age 12, even after adjusting for gender and area deprivation level. This effect occurs by undermining children’s self-esteem and scholastic self-concept, which highlights how early adversity can shape educational trajectories through internalized negative self-perceptions.

The findings highlight the importance of preventing ACEs, early identification of at-risk children, and prioritizing trauma-informed, equitable, and culturally sensitive interventions to improve school engagement. Children who stay engaged at school are more likely to do well later in life. Those who disengage face a greater risk of lower academic achievement, poorer mental health and leaving school early. To keep children connected to their school, supportive teachers, positive friendships, opportunities to succeed and extracurricular activities can all make a meaningful difference. So can giving students more say in their learning and recognising their achievements. Ultimately, schools cannot undo the adversity a child has faced at home. But they can still do much to help children believe in themselves, thrive in the classroom and reach their potential.

To download the peer-reviewed article: Understanding the Link Between Adverse Childhood Experiences (ACEs) and School Engagement: Investigating the Role of Child Self-concept as a Mediator

To download the article in The Conversation: Adversity can follow NZ kids to the classroom. Can schools make a difference?

To cite: Ghasemi, M., Meissel, K., McIntosh, T. et al. Understanding the Link Between Adverse Childhood Experiences (ACEs) and School Engagement: Investigating the Role of Child Self-concept as a Mediator. ADV RES SCI7, 43 (2026). https://doi.org/10.1007/s42844-026-00229-z

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Violence is a risk factor for adverse clinical outcomes in severe mental illness

A longitudinal study investigating the experiences of violence suffered by those with severe mental illness (SMI) was recently published in the British Journal of Psychiatry. VISION researchers Vishal Bhavsar, Angus Roberts, and Robert Stewart worked with lead author Ava Mason and others and found that people with SMI and who experienced violence are more likely to need future emergency and inpatient mental care.

The aim of their research was to understand whether violence recorded early in someone’s contact with mental health services could help predict these later outcomes. Anonymised electronic mental health records from approximately 6,000 adults who received care from South London and Maudsley NHS Foundation Trust between 2007 and 2022 were investigated.

By applying Natural Language Processing (NLP) to records of those diagnosed with schizophrenia or related disorders, or bipolar disorder or mania, the researchers were able to determine whether any current or previous physical, domestic or sexual violence had been recorded in the first three months after someone first came into contact with services.

Results showed that people living with SMI who had violence recorded in their mental health records early in their care were at increased risk of crisis service use, hospital admission and detention under the Mental Health Act in the years that followed. This highlights the importance of identifying and responding to experiences of violence as part of routine mental health care.

In conclusion, experiences of violence, to the extent to which patients report their experiences and these are recorded, are risk factors for worse outcomes in severe mental illness, only partly accounted for by clinical status around the time of presentation. More systematic ascertainment and recording of victimisation needs to be considered if interventions are to be appropriately targeted.

To download the article: An investigation of recorded physical, domestic and sexual victimisation as risk factors for adverse clinical outcomes in severe mental illness: longitudinal study

To cite: Mason AJC, Bhavsar V, Roberts A, et al. An investigation of recorded physical, domestic and sexual victimisation as risk factors for adverse clinical outcomes in severe mental illness: longitudinal study. The British Journal of Psychiatry. Published online 2026:1-8. doi:10.1192/bjp.2026.10648

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Violence as a Boundary Object: Implications for the Field of International Political Sociology

Violence is an enduring global challenge: it can occur in the context of interpersonal relationships, as well as interstate and intercommunal conflict. The synchronous focus on the global and the social in international political sociology might naturally transcend some paradigmatic divisions over what constitutes violence and at which level of analysis it might be studied.

The study of violence is core to the study of International Relations (IR), however, there has been little analysis of the complex concept of violence and how it functions at the intersection of IR, sociology, and politics as well as other disciplines represented by journalism and health.

The entry point, then, is to consider whether working across academic disciplines can better account for this complexity. In order to do this, the researchers, led by VISION Co-Investigator Alexandria Innes, ask not simply what violence is, but how violence comes to be known at all.

Andri and colleagues Koen Slootmaeckers, Elizabeth Cook (VISION), Olumide Adisa (VISION), Lindsey Blumell, Gene Feder (VISION), Jana Kriechbaum and Laura Sjoberg, examine the conditions that shape how violence becomes intelligible within and across disciplines, and how these conditions are shaped by power that is operational in academic disciplines, and in the world. Violence in the world, whilst present in our discussions as a referent, is not our main focus; rather, the relationship between violence in the world and violence in the academy emerged as the central problematic shaping our discussion.

This collective discussion, follows from a series of roundtables, which situated violence as a “boundary object”: objects that are “plastic” enough to exist across different disciplines and languages, but “robust” enough to maintain a common identity. The roundtables were built around three themes, replicated below, to interrogate, test, and push the boundaries of plasticity and robustness on the concept of violence across disciplines. The conversation that emerged is presented in this collective discussion as a conversation, with representation of divergent positions and the thought processes they inspired.

To download the article: Collective Discussion: Violence as a Boundary Object: Implications for the Field of International Political Sociology 

To cite: Alexandria Innes, Koen Slootmaeckers, Elizabeth Cook, Olumide Adisa, Lindsey Blumell, Gene Feder, Jana Kriechbaum, Laura Sjoberg, Collective Discussion: Violence as a Boundary Object: Implications for the Field of International Political Sociology, International Political Sociology, Volume 20, Issue 3, September 2026, olag024, https://doi.org/10.1093/ips/olag024

For further information: Please contact Andri at alexandria.innes@citystgeorges.ac.uk

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Using Natural Language Processing in Domestic Homicide Reviews

Since 2011, there has been a statutory requirement in England and Wales to conduct a Domestic Homicide Review (DHR) into any domestic abuse-related death: a multi-agency review into the death of a person aged 16 or over that appears to have resulted from violence, abuse or neglect from an intimate partner, family member or household member.

However, analyses of large numbers of DHRs are rare. One of the core challenges is the time and effort required to analyse narrative text within reports. Doing so manually is both time-consuming and resource-intensive and is a primary reason why researchers typically focus on only a portion of the available data. Natural Language Processing (NLP)—a sub-branch of artificial intelligence that enables computers to interpret and process natural language—provides a viable and scalable alternative by offsetting much of the heavy data processing to a computer.

In this study protocol, developed by VISION Research Fellow Dr Darren Cook and VISION Co-Investigator Dr Elizabeth Cook (both at City St George’s University of London) with Sumanta Roy and Rani Selvarajah of Imkaan, and VISION Co-Investigator Professor Ravi Thiara (University of Warwick), they outline a study to assess the feasibility of applying NLP to DHRs.

The VISION and Imkaan team outline a collaborative approach which balances the speed and scale of automation with the embedded knowledge and expertise of practitioners. This approach helps to ensure that outputs of NLP are sensitive and transparent about the biases common within datasets on violence and abuse.

Based on initial consultations, the team have identified a series of priority research questions for investigation. In addition, they outline details of an ongoing collaboration with one partner, Imkaan. The protocol describes the data access, and retrieval and analysis stages before summarising how feasibility will be evaluated. The protocol concludes by arguing that working with practitioners who hold deep contextual knowledge about the social realities of violence and abuse, including language, risks, and experiences, means that tools can be developed that are accountable to communities and appropriately applied to real-world problems.

To download the protocol: A collaborative approach to applying Natural Language Processing (NLP) to Domestic Homicide Reviews (DHRs): A study protocol

To cite: Cook D, Cook EA, Roy S, Thiara R, Selvarajah R (2026) A collaborative approach to applying Natural Language Processing (NLP) to Domestic Homicide Reviews (DHRs): A study protocol. PLoS One 21(5): e0348948. https://doi.org/10.1371/journal.pone.0348948

For further information: Please contact Lizzie at elizabeth.cook@citystgeorges.ac.uk

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Commissioning Pathways for Domestic Homicide / Abuse-Related Death Reviews: Are All Deaths Counted?

Domestic homicide reviews (being renamed domestic abuse-related death reviews) have been undertaken in England and Wales since 2011. However, relatively little is known about the commissioning process for these reviews, including where notifications come from, if the types of cases being referred are changing, and the outcomes. Knowledge is also limited about who is involved in these decisions and who is informed when a decision is made.

For this project, Dr James Rowlands (University of Durham), VISION Co-Investigator Dr Elizabeth Cook (City St George’s University of London) and research consultant Dr Althea Cribb, used data requested from the partnership bodies responsible for commissioning domestic homicide / abuse-related death reviews about notifications and decision-making between January 2017 and December 2024. Their findings highlight the changing profile of cases, variability in decision-making, and gaps in communication and oversight.

To download the paper: Commissioning Pathways for Domestic Homicide / Abuse-Related Death Reviews: Are All Deaths Counted?

To cite: Rowlands, J., Cook, E., & Cribb, A. (2026, May 11). Commissioning Pathways for Domestic Homicide / Abuse-Related Death Reviews: Are All Deaths Counted?. https://doi.org/10.15128/r1kp78gg500

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Violence, Injustice, and Inequality: The State of International Migration

On June 14, 2023, a fishing trawler with over 700 asylum seekers and refugees predominantly from Syria, Palestine, Pakistan, Egypt and Afghanistan on board, sank in the Messenia region of the Mediterranean. The travelers on board had no food or water, the engine was overheating, and a number of people on board were alleged to have died. The boat eventually capsized and sank after floundering for two days in Greek search and rescue waters while under observation by the Hellenic Coast Guard. During this time no rescue operation was launched. It was only after the boat capsized that a search and rescue operation occurred. Just over 100 men were rescued, and 84 bodies were recovered from the water, including all the women and children on board.

On June 18, 2023, a private submersible vessel launched on a sightseeing tour of the Titantic shipwreck. The small vessel was occupied by four passengers and the captain. The passengers on board had paid approximately £250,000 each for the voyage. Shortly after the vessel began its dive, contact was lost and soon afterward a global search and rescue operation was launched. Later, debris of the submersible was confirmed on the ocean floor, and all five occupants were declared dead.

The temporal juxtaposition of these two maritime disasters, and the disparity in both the number of lives lost and the effort spent to save the lives of those on the vessels throw international inequality and injustice into sharp relief. While there is a huge and obvious wealth disparity between the two groups cited in the examples above, economics alone cannot explain the contrast between the framing of and responses to these two disasters.

In her latest publication, Violence, Injustice, and Inequality: The State of International Migration, VISION Co-Investigator Dr Alexandria Innes focuses on the gross inequality that is evident in international migration governance and management. Framed in the concept of inequality as it is variously yet incompletely theorized in international relations scholarship and drawing on Ranciere’s equality as practice, she situates violence as an indicator of inequality that reveals injustice.

Using a case study of domestic violence in the context of the UK’s “hostile environment,” Andri demonstrates how states, exemplified by the UK, adopt domestic violence as a mechanism of immigration deterrence. She argues that, despite the acceptance of domestic violence as a social wrong, and the evidence that domestic violence is pervasive in society, migrant women in insecure status are denied access to necessary forms of protection, which leads to prolonged exposure to domestic violence and reveals continuous violence against migrants in insecure status.

Attending to violence, and in particular state violence, in the global politics of migration reveals the injustice of embedded inequality in the international system. While injustice is immediately legible in violent events, injustice is also embedded in the unequal social order, continuously ordering and bordering protection from and submission to violence.

To download the paper: Violence, Injustice, and Inequality: The State of International Migration

To cite: Alexandria Innes, Violence, Injustice, and Inequality: The State of International Migration, Global Studies Quarterly, Volume 6, Issue 2, April 2026, ksag058, https://doi.org/10.1093/isagsq/ksag058

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Measuring perpetration of intimate partner violence: A systematic review

Understanding how common intimate partner violence (IPV) is in different groups and settings can inform better policies and interventions to prevent IPV and reduce its impact on public health. Much of the existing research on IPV has measured IPV victimisation in populations. But IPV reported by victims, e.g. in nationally representative crime or health surveys, reflects the behaviour of perpetrators. Asking people in surveys about their perpetration of IPV, and how frequently harmful behaviour(such as physical, sexual, or psychological harm) occur, is also important.

A new systematic review by VISION collaborator Vishal Bhavsar and VISION co-investigator Sian Oram gathers evidence on how IPV perpetration is measured in health surveys of the general population and presents a set of measurement principles. Based on 39 published articles, they find 27 health surveys containing information on IPV perpetration. These measures vary in detail, ranging from one or two binary items to more comprehensive scales. In many cases, the more detailed measures are adaptations of victimisation items reframed to capture perpetration, while a smaller number of studies use instruments specifically developed for IPV perpetration. Information relevant to understanding the public health implications of IPV perpetration, such as the sex and number of victims per perpetrator, the nature of relationships (e.g. marital, cohabiting), patterns of frequency or escalation, and harmful impact on victims, is not consistently collected. Details on the development and validation of measurement items are also often lacking.

Distinguishing IPV perpetrators from victims in measurement is important for the development of interventions, particularly where policies or programmes are designed to engage individuals who perpetrate IPV. Although health surveys do include some measures of perpetration, the extent and detail of these measures are limited. Some of the principles developed and applied in the review might also apply to the measurement of IPV perpetration and other forms of domestic abuse in electronic health records or policing data. A future cross-sector consensus on how to measure IPV perpetration might be helpful in informing the societal response to preventing IPV.

To download the paper: The Measurement of Perpetration of Intimate Partner Violence in General Population Health Surveys: Systematic Review

To cite: Bhavsar, V., Oram, S. The Measurement of Perpetration of Intimate Partner Violence in General Population Health Surveys: Systematic Review. Trauma, Violence, & Abuse. OnlineFirst, March 31, 2026.  https://doi.org/10.1186/s40163-026-00272-2

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Using AI to investigate publicly available documents on violence prevention

 

Artificial intelligence (AI) systems are increasingly applied in public health, yet their use for analysing fragmented, multi-sectoral policy landscapes remains underdeveloped. Many applications have focused on service delivery, such as AI-powered chatbots, data surveillance and monitoring, and tracking social media interactions for emerging risks, with less attention paid to how AI might support policy analysis. This is especially true for the violence prevention sector, where AI is gaining traction as a solution for triaging help-seeking calls, detecting threatening messages, predicting conflict and improving police data, but not for understanding the policy landscape.

Policy responses to violence are undergoing scrutiny in the UK, coinciding with the recent publication of an updated cross-government strategy addressing violence against women and girls. This renewed focus places increased demands on researchers and policymakers to rapidly synthesise large and fragmented bodies of policy evidence spanning multiple sectors and both local and national government. Traditional approaches to policy review formed around a wholly manual approach may struggle to meet these demands within policy-relevant timeframes.

This research, an exploratory, proof-of-concept case study, aimed to describe the development and preliminary exploration of an AI-enabled tool designed to synthesise evidence from violence-related policy documents in the UK. The team was led by VISION Research Fellow Dr Darren Cook and inlcuded several members from the wider VISION consortium, Dr Elizabeth Cook, Kimberly Cullen, Professor Sally McManus, Professor Gene Feder and Professor Mark Bellis. 

For their article, Artificial intelligence in critical synthesis of public health responses to violence: A novel application to UK violence prevention policy, the team compiled a corpus of publicly available UK policy and strategy documents on violence (N = 343) through expert review, manual searches of government and third sector organisation websites, and automated web scraping.

Then, they used the corpus to train an existing AI framework and deployed it through a question-answer interface. Stakeholders working in violence prevention (academics, practitioners in specialist services and government officials) were invited to pose natural-language questions about violence policy and consider the system’s utility and the usefulness of its outputs. Their feedback indicated that the AI generated reports were well-grounded in the underlying source documents. Syntheses aligned closely with the documents in the tool, and the inclusion of document references and page-level citations supported credibility assessments. Corpus coverage statistics were considered particularly helpful when judging the robustness of responses. 

This research contributes by documenting the early application of an AI-enabled tool designed to support exploratory policy analysis. The team illustrates an emerging analytic capability and its potential role within policy-oriented research workflows. By demonstrating how a document-grounded, closed-domain AI system can be used to interrogate policy framings and identify potential siloes, this work addresses a gap in current public health applications of AI, specifically in the context of violence prevention.

To access the VISION AI tool to ask your own questions about violence prevention: VISION: Violence, Health & Society  

To download the paper: Artificial intelligence in critical synthesis of public health responses to violence: A novel application to UK violence prevention policy

To cite: Cook, D., Cook, E., Cullen, K., Zachos, K., McManus, S., Feder, G., Bellis, M., Maiden, N. Artificial intelligence in critical synthesis of public health responses to violence: A novel application to UK violence prevention policy. Science Direct (2026). https://doi.org/10.1186/s40163-026-00272-2

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Computational text analysis on unstructured police data: A scoping review

 

Police reports made following attendance at events such as crashes, domestic violence and theft often contain rich contextual details including indicators of mental health issues or abuse types, and persons/entities involved and their relationships, which are not typically captured in structured administrative data, interviews or official statistics. However, the sheer volume of information along with strict data access protocols render manual analysis impractical. Computational text analysis methods offer a feasible and effective approach to automatically process this underutilized data source.

The research team led by Dr Wilson Lukmanjaya (University of New South Wales) included VISION Research Fellow Dr Darren Cook. The team conducted an overview of studies using computational text analysis (e.g., text mining, natural language processing (NLP)), on unstructured police data, serving as a guide for researchers interested in employing similar methodologies. 

Their article, Computational text analysis on unstructured police data: A scoping review, was conducted in accordance with the PRISMA-SCR guidelines, following the two screening processes (title/abstract and full text screening) and the development of a pre-defined protocol. A search was conducted across seven electronic databases covering the past 20 years.

After removing duplicate entries and screening titles/abstracts and full-text publications, 61 studies met the inclusion criteria. Included studies were published between 2004 and 2024, with most from the United States, Australia and the Netherlands.

The scoping review indicates applications of computational text analysis on unstructured police data have moderate to high performance. Common limitations included variable data quality, with reliability depending on the level of detail provided by the police report’s author, and failure to report ethical implications or methodological limitations.

Computational text analysis can extract key information from unstructured police data. However, future research should clearly report ethics approvals and implications, and methodological limitations. 

Recommendation

  1. Establishing a structured data-sharing framework between law enforcement and researchers is crucial to facilitate access and support high quality, impactful research in this field.

To download the paper: Computational text analysis on unstructured police data: A scoping review

To cite: Lukmanjaya, W., Halmich, C., Butler, T., Cook, D., Karystianis, G. Computational text analysis on unstructured police data: a scoping review. Crime Sci (2026). https://doi.org/10.1186/s40163-026-00272-2

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