ArticleBMC research notes2021
Longitudinal trends in screening males and females for intimate partner violence as part of a systemic multi-specialty health system intervention.
Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed, 3 citations in OpenAlex.
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Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo assess intimate partner violence screening for males and females in a health system that underwent a systemic intervention to improve survivor identification and response. Electronic health record data from 13 clinics were accessed for February of 2017, 2018, and 2019 to calculate screening rates and positive screening rates for intimate partner violence by clinic and sex-race groups (n = 11,693 non-Hispanic White females; n = 4318 Other females; n = 9184 non-Hispanic White males; n = 3441 Other males). Linear mixed effects models were used to examine whether screening rates differed significantly over time and by sex-race group.
resultsScreening rates were 31% for the first 2 years and 16% for 2019. Screening rates varied greatly by clinic. Dermatology, psychiatry, and otolaryngology clinics had average or above screening rates all 3 years. Differences in screening rates across sex-race groups were minimal. Average positive screen rates were 1.3%, 0.4%, and 2.6% in 2017, 2018, and 2019, respectively, with psychiatry having the highest positive screen rate. Positive screen rates were highest for non-Hispanic White females (3.5%). Universal screening in this health system was not yielding survivors comparable to existing estimates among clinic-based populations. Other identification approaches require testing to effectively identify survivors within the health sector.
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