Beyond the Initial Assault: Characterizing Revictimization in Intimate Partner Violence and Its Implications for Women's Health.

Recent research has emphasized the importance of addressing specific victim-related factors to reduce victims' vulnerability and prevent future revictimization experiences. This study aimed to analyze the vulnerability profiles of women who were victims of intimate partner violence, including those who had experienced a single incident of violence and those who had endured revictimization. Participants were 338 women with active judicial protection measures registered in the system of support for victims of gender violence (VioGén) in Madrid, Spain. The analysis considered sociodemographic characteristics, victimization history, perceived triggers of violence, women's responses and feelings, as well as clinical outcomes linked to revictimization history. The study revealed that many victims faced socioeconomic vulnerability. Furthermore, the findings underscored the intricate link between the likelihood of enduring chronic violence and women's awareness of early indicators of violence risk, their initial responses to aggression, communication skills, and recurrent behaviors in the context of an established violent dynamic. This study offers valuable insights for law enforcement to identify the risk of revictimization. Furthermore, findings raise awareness about the particularly vulnerable situation of some women to repeated victimization experiences and provide relevant information for clinical intervention.

Intimate partner violence complaints during COVID-19 lockdown in Spain: a cross-sectional and a case-control study.

BACKGROUND: During the COVID-19 lockdown, a large proportion of the women exposed to intimate partner violence had to live with their abusers full-time. This study analyzes the new official complaints that were filed during the lockdown in Spain. METHODS: Data from the Comprehensive Monitoring System for Cases of Gender Violence from the Ministry of the Interior, Spain. Using logistic regression models, the complaints registered during the lockdown were compared to those registered in the previous year. Subsequently, we analysed association between the seriousness of the incident reported and the period in which the complaint was filed. RESULTS: Official complaints decreased by 19% during the lockdown. The probability of complaints during lockdown mainly increased when victims had a relationship with the abusers [odds ratio (OR) = 1.33] and when they lacked social support (OR = 1.22). The probability that the complaints were associated with previous jealousy (OR = 0.87), previous harassment behaviours (OR = 0.88) or the victim's fear for minors' safety (OR = 0.87) decreased. In addition, during lockdown increased the probability that the complaints filed were due to incidents of severe physical violence (OR = 1.17); severe psychological violence against women with minors in their charge (OR = 1.22); and severe violence due to threats (OR = 1.53) when the woman had previously suffered harassment. CONCLUSIONS: The decrease in new complaints during the studied period and the increase in their severity evidence difficulties in seeking help due to the lockdown. In situations of confinement, it is necessary to design measures that protect women with a lack of social support, and at those who live with the aggressor.

Intimate partner homicide risk assessment by police in Spain: the dual protocol VPR5.0-H / La valoración policial del riesgo del homicidio de pareja en España: el protocolo dual VPR 5.0-H

Spanish police makes an extensive use of intimate partner violence (IPV) risk assessment on a daily basis. Improved prediction procedures have encouraged the search for greater refinement of IPV predictors by adjusting to specific targets, such as lethal outcomes or potential victimization of children. This paper describes the evolution of the VPR5.0 tool (VioGén System Police Risk Assessment) as an algorithm aimed at improving predictability of intimate partner homicides (IPH). A sample of 2,159 records was used, 159 of whom were IPH victims. The sample was divided into two comparable groups of cases (IPH) and controls (N-IPH) to validate the results. The results showed that 13 out of 35 risk factors were significantly related to IPH with an effect size different to that of general N-IPH (with OR values ranging between 1.507 and 8.087). Binary logistic regression showed six significant factors that correctly classified 86.3% of the IPH. The new H-Scale performance parameters were comparable to those obtained in studies with the same objective (sensitivity 84%, specificity 60%, OR = 8.130, AUC = .80, PPV = .19 and NPV = .97)

La policía española hace un uso diario y extenso de la evaluación del riesgo de violencia en casos de violencia de género (VCP). El perfeccionamiento de los sistemas de predicción de VCP ha impulsado la búsqueda de procedimientos ajustados a objetivos concretos, como puede ser el resultado letal o la inclusión de menores como posibles víctimas. En el presente trabajo se describe la evolución de la herramienta VPR5.0 (Valoración Policial del Riesgo del Sistema VioGén) a un algoritmo diferenciado cuyo objetivo es predecir mejor los homicidios de mujeres por su pareja (HCP). Se analizaron 2,159 registros, 159 de los cuales correspondían a HCP, dividiendo la muestra en dos grupos comparables con casos (HCP) y controles (N-HCP) para validar los análisis. Los resultados pusieron de manifiesto que de los 35 factores de la herramienta 13 estaban asociados significativamente con el HCP, con un tamaño del efecto diferente al de N-HCP (con valores OR entre 1.507 y 8.087). La regresión logística binaria mostró seis factores significativos que clasificaban correctamente el 86.3% de los HCP. Los parámetros de rendimiento de esta escala-H resultaron comparables a los obtenidos en estudios con el mismo objetivo (sensibilidad 84%, especificidad 60%, OR = 8.130, AUC = .80, VPP = .19 y VPN = .97)

Identifying key predictors of recidivism among offenders attending a batterer intervention program: a survival analysis / Los predictores clave de la reincidencia en participantes en un programa de intervención para agresores de pareja: un análisis de supervivencia

Strategies to reduce intimate partner violence against women (IPVAW) can be targeted at different levels. Batterer intervention programs (BIPs) are among the main treatment approaches for IPVAW offenders. The most common outcome used in the evaluation of BIP effectiveness is recidivism. Efforts to increase BIP effectiveness in reducing recidivism should focus on key predictive variables of this outcome. The aim of this study was to identify key predictors of official recidivism from a large set of variables drawn from a sample of IPVAW offenders court-mandated to a community-based BIP (N = 393), with a follow-up period of between 0 and 69 months. To this end, a survival analysis was conducted using four sets of variables: individual-level, relational- and contextual-level, violence-related, and intervention process-related variables. To include all variables in the analysis simultaneously, a Cox regression model was estimated with the adaptive least absolute shrinkage and selection operator (ALASSO). From a pool of eighty-nine variables, six were selected as key predictors of recidivism: dropout, risk of future violence against non-partners, family violence exposure, immigrant status, accumulation of stressful life events, and trait anger. The area under the receiving operator characteristic (ROC) curve was .808, indicating good prediction of the model. The key predictors of recidivism found in this study should be considered by professionals and researchers in the BIP field to improve their evaluation and intervention strategies. Practical implications for future research are also discussed

Las estrategias para reducir la violencia contra la mujer en las relaciones de pareja pueden dirigirse a diferentes objetivos. Los programas de intervención para agresores de pareja son uno de los principales acercamientos para su tratamiento. El resultado más utilizado para la evaluación de la efectividad de estos programas es la reincidencia. Los esfuerzos para incrementar la efectividad de los programas de intervención para agresores de pareja en reducir la reincidencia deberían centrarse en las variables predictoras clave de este resultado. El objetivo de este estudio fue identificar los predictores clave de la reincidencia oficial a partir de un amplio conjunto de variables obtenidas a partir de una muestra de hombres participando por mandato judicial en un programa de intervención para agresores de pareja (N = 393), con un periodo de seguimiento de entre 0 y 69 meses. Con este objetivo, se realizó un análisis de supervivencia utilizando cuatro conjuntos de variables: variables individuales, variables relacionales y contextuales, variables relativas a la violencia y variables relativas al proceso de intervención. Para incluir simultáneamente todas las variables en el análisis, se estimó un modelo de regresión de Cox utilizando ALASSO (adaptive least absolute shrinkage and selection operator). De un conjunto de ochenta y nueve variables, seis fueron seleccionadas como predictores clave: abandono del programa, riesgo de violencia futura contra otras personas, exposición a violencia familiar, estatus de inmigrante, acumulación de eventos vitales estresantes e ira rasgo. El área bajo la curva ROC (receiving operator characteristic) fue .808, indicando una buena predicción del modelo. Los predictores clave de la reincidencia identificados en este estudio deberían ser considerados por los profesionales e investigadores en el ámbito de la intervención con agresores de pareja para mejorar sus estrategias de evaluación e intervención. Asimismo, se discuten las implicaciones prácticas para futuras investigaciones

Correction: Evolution and study of a copycat effect in intimate partner homicides: A lesson from Spanish femicides.

[This corrects the article DOI: 10.1371/journal.pone.0217914.].

Evolution and study of a copycat effect in intimate partner homicides: A lesson from Spanish femicides.

OBJECTIVES: This paper focuses on the issue of intimate partner violence and, specifically, on the distribution of femicides over time and the existence of copycat effects. This is the subject of an ongoing debate often triggered by the social alarm following multiple intimate partner homicides (IPHs) occurring in a short span of time. The aim of this research is to study the evolution of IPHs and provide a far-reaching answer by rigorously analyzing and searching for patterns in data on femicides. METHODS: The study analyzes an official dataset, provided by the system VioGén of the Secretaría de Estado de Seguridad (Spanish State Secretariat for Security), including all the femicides occurred in Spain in 2007-2017. A statistical methodology to identify temporal interdependencies in count time series is proposed and applied to the dataset. The same methodology can be applied to other contexts. RESULTS: There has been a decreasing trend in the number of femicides per year. No interdependencies among the temporal distribution of femicides are observed. Therefore, according to data, the existence of copycat effect in femicides cannot be claimed. CONCLUSIONS: Around 2011 there was a clear change in the average number of femicides which has not picked up. Results allow for an informed answer to the debate on copycat effect in Spanish femicides. The planning of femicides prevention activities should not be a reaction to a perceived increase in their occurrence. As a copycat effect is not detected in the studied time period, there is no evidence supporting the need to censor media reports on femicides.