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Longitudinal trends in screening males and females for intimate partner violence as part of a systemic multi-specialty health system intervention

OBJECTIVE: To 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 scre...

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Detalles Bibliográficos
Autores principales: Clark, Cari Jo, Renner, Lynette M., Wang, Qi, Flowers, Nyla I., Morrow, Grace, Logeais, Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414722/
https://www.ncbi.nlm.nih.gov/pubmed/34479644
http://dx.doi.org/10.1186/s13104-021-05754-x
Descripción
Sumario:OBJECTIVE: To 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. RESULTS: Screening 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.