2016
DOI: 10.1111/jpm.12289
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Measures for screening for intimate partner violence: a systematic review

Abstract: Objective Intimate partner violence (IPV) is a public health priority due to the physical and mental impacts it has on health. No existing reviews have focused on the psychometric properties of IPV screening tools used to screen men and women within a mental health context. This review aimed to identify the best psychometrically tested screening tools available to assess all areas of IPV in men and women in mental health setting. Method Databases psycArticles, PsycINFO, Social Science, CINAHL, PubMed and Cochr… Show more

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Cited by 66 publications
(71 citation statements)
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“…The Severity of Violence Against Women Scale (SVAWS) was used in three studies and the Abuse Assessment Screen (AAS) was used in different three studies. Both have good psychometric properties …”
Section: Resultsmentioning
confidence: 99%
“…The Severity of Violence Against Women Scale (SVAWS) was used in three studies and the Abuse Assessment Screen (AAS) was used in different three studies. Both have good psychometric properties …”
Section: Resultsmentioning
confidence: 99%
“…The providers report the lack of time and a short, robust and reliable tool as common barriers of violence screening (13).…”
Section: Introductionmentioning
confidence: 99%
“…It seems that woman abuse screening tool (WAST), among many tools for violence screening, can be a perfect tool for women with psychiatric diseases, as it assesses a variety of physical, psychological, and sexual abuse with a small number of items (8 items) and easy implementation. Also, the use of its short form, with just 2 items, is recommended in busy centers (13,15). Furthermore, it has high reliability and good sensitivity and specificity (10).…”
Section: Introductionmentioning
confidence: 99%
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“…The majority of tools that have been validated at least once have been developed for gynaecology, traumatology or emergency services and to assess experiences of victimization of adult women by the opposite sex (Arkins et al, 2016;Haggerty, Hawkins & Fontenot, 2011), yet none of the validations provide data on the effects of gender on test sensitivity (Arkins et al, 2016).…”
mentioning
confidence: 99%