Literature DB >> 10983606

Identifying domestic violence within inpatient hospital admissions using medical records.

W J Rudman1, D Davey.   

Abstract

This paper examines incidences of domestic violence among hospitalized patients identified as being victims of domestic violence. Specifically, we focus on defining the type and cost of domestic violence and identifying demographic characteristics of individuals at risk for domestic violence. Data for this paper were abstracted from the 1994 HCUP-3 data set. Findings from these data suggest that identifying incidences of domestic violence is very complex and difficult. The primary diagnosis of those who are victims of domestic violence range from broken bones and bruises to chronic and acute illness to mental illness. Finally, non-white populations are approximately two times more likely to be identified as victims of physical violence than whites and as age increases the likelihood of being identified as a victim of physical violence decreases.

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Year:  2000        PMID: 10983606     DOI: 10.1300/J013v30n04_01

Source DB:  PubMed          Journal:  Women Health        ISSN: 0363-0242


  4 in total

1.  Using diagnostic codes to screen for intimate partner violence in Oregon emergency departments and hospitals.

Authors:  Sean D Schafer; Linda L Drach; Katrina Hedberg; Melvin A Kohn
Journal:  Public Health Rep       Date:  2008 Sep-Oct       Impact factor: 2.792

2.  The economic burden of hospitalizations associated with child abuse and neglect.

Authors:  Sue Rovi; Ping-Hsin Chen; Mark S Johnson
Journal:  Am J Public Health       Date:  2004-04       Impact factor: 9.308

3.  United States emergency department visits coded for intimate partner violence.

Authors:  Danielle M Davidov; Hollynn Larrabee; Stephen M Davis
Journal:  J Emerg Med       Date:  2014-10-02       Impact factor: 1.484

4.  Intimate partner violence-related hospitalizations in Appalachia and the non-Appalachian United States.

Authors:  Danielle M Davidov; Stephen M Davis; Motao Zhu; Tracie O Afifi; Melissa Kimber; Abby L Goldstein; Nicole Pitre; Kelly K Gurka; Carol Stocks
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

  4 in total

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