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1.
Violence Against Women ; : 10778012221142914, 2022 Dec 06.
Article in English | MEDLINE | ID: covidwho-2153412

ABSTRACT

Post-separation for domestic violence (DV) survivors is known to be a period of heightened risk of domestic homicide. Evidence points to increased rates of DV during the Covid-19 pandemic, with specific challenges in help-seeking from DV services, yet studies that capture this qualitatively are still emerging. This UK study investigated the experiences of 21 separated DV survivors (all women) during the Covid-19 pandemic. Inductive, thematic analysis highlighted participants' psychological distress, isolation, fear of Covid-19 transmission, and detachment from support networks. The findings reflect the interconnected nature of adversities experienced by DV survivors and the exacerbation of these due to the insidious, multifaceted, and synergistic impacts of DV and the pandemic.

2.
BMC Med ; 19(1): 246, 2021 09 24.
Article in English | MEDLINE | ID: covidwho-1438274

ABSTRACT

A 'shadow pandemic' of domestic violence and abuse (DVA) has emerged secondary to strict public health measures containing the spread of SARS-CoV-2. Many countries have implemented policies to allow the free movement of DVA survivors in attempts to minimise their exposure to abusive environments. Although these policies are well received, as a result there is a possibility of increased COVID-19 transmission within this vulnerable group who are not currently prioritised for vaccination. Therefore, we aimed to compare the risk of developing suspected or confirmed COVID-19 in women (aged over 16 years) exposed to DVA against age-sex-matched unexposed controls, following adjustment for known COVID-19 risk factors. A population-based retrospective open cohort study was undertaken between the 31 January 2020 and 28 February 2021 using 'The Health Improvement Network' database. We identified 10,462 eligible women exposed to DVA who were matched to 41,467 similarly aged unexposed women. Following adjustment for key covariates, women exposed to DVA were at an increased risk (aHR 1.57; 95% CI 1.29-1.90) of suspected/confirmed COVID-19 compared to unexposed women. These findings support previous calls for positive policy action improving DVA surveillance and prioritising survivors for COVID-19 vaccination.


Subject(s)
COVID-19 , Domestic Violence , Aged , COVID-19 Vaccines , Cohort Studies , Female , Humans , Retrospective Studies , SARS-CoV-2 , Survivors
3.
Int J Ment Health Nurs ; 30(4): 1022-1032, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1234237

ABSTRACT

Disasters including public health crises like the COVID-19 pandemic are known to increase instances of family violence against women, children, and other diverse populations. This paper discusses and provides evidence of disaster-related vulnerability of and violence towards specific groups of people. We argue that the COVID-19 pandemic presents the 'perfect storm' for family violence, where a set of rare circumstances combine, resulting in a significant aggravation of the resulting event. Given the mental health implications of family violence, mental health professionals need to be aware of this issue during the pandemic and ready to assist with the development of strategies to overcome the situation where possible. To provide protection and prevent violence, there is a need to include at-risk groups in disaster response and community planning. Such a plan could involve gender and disaster working groups at the local community, state, and national levels.


Subject(s)
COVID-19 , Disasters , Domestic Violence , Child , Female , Humans , Pandemics , SARS-CoV-2
4.
J Adv Nurs ; 77(5): 2117-2118, 2021 May.
Article in English | MEDLINE | ID: covidwho-1175065
5.
J Clin Nurs ; 30(3-4): 588-602, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-949336

ABSTRACT

AIMS: To synthesise the current, global evidence-informed guidance that supports nurses and midwives to recognise and respond to intimate partner violence (IPV), and how these practices can be translated from face-to-face encounters to care that is delivered through telehealth. BACKGROUND: COVID-19-related social and physical distancing measures increase the risk for individuals who are socially isolated with partners who perpetuate violence. Providing support through telehealth is one strategy that can mitigate the pandemic of IPV, while helping patients and providers stay safe from COVID-19. DESIGN AND METHODS: In this discursive paper, we describe how practical guidance for safely recognising and responding to IPV in telehealth encounters was developed. The ADAPT-ITT (Assessment, Decisions, Administration, Production, Topical Experts, Integration, Testing, Training) framework was used to guide the novel identification and adaptation of evidence-informed guidance. We focused on the first six stages of the ADAPT-ITT framework. CONCLUSIONS: This paper fills a gap in available guidance, specifically for IPV recognition and response via telehealth. We present strategies for prioritising safety and promoting privacy while initiating, managing or terminating a telehealth encounter with patients who may be at risk for or experiencing IPV. Strategies for assessment, planning and intervention are also summarised. System-level responses, such as increasing equitable access to telecommunication technology, are also discussed. RELEVANCE TO CLINICAL PRACTICE: Integrating innovative IPV-focused practices into telehealth care is an important opportunity for nurses and midwives during the current global COVID-19 pandemic. There are also implications for future secondary outbreaks, natural disasters or other physically isolating events, for improving healthcare efficiency, and for addressing the needs of vulnerable populations with limited access to health care.


Subject(s)
COVID-19/epidemiology , Intimate Partner Violence/prevention & control , Midwifery/organization & administration , Practice Guidelines as Topic , Prenatal Care/methods , Telemedicine/methods , Adult , Evidence-Based Practice , Female , Humans , Intimate Partner Violence/statistics & numerical data , Pregnancy
8.
J Clin Nurs ; 29(13-14): 2047-2049, 2020 07.
Article in English | MEDLINE | ID: covidwho-47730
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