Exploratory Study of Breast Cancer Screening Practices of Urban XXXX : A Closer Look at Who Is and Is Not Getting Screened.

@entity1 @entity389 @entity258 @entity0
Several initiatives have been embarked upon over the past decade to encourage @entity0 screening and follow-up among @entity1 who reside in urban communities. With these efforts, data revealed that many @entity1 do not receive the recommended @entity0 screening. Studies have been published in scientific literature that explored barriers faced by @entity1 relative to @entity0 screening. But, only a few reports have been published of efforts initiated to define the limits of characteristics of @entity1 who have and @entity1 who have not been screened. This cross-sectional exploratory study was designed to examine the @entity0 screening practices of @entity1 40-74 years of age and older who reside in a densely populated metropolitan community of S.E. Wisconsin, and to identify and compare the characteristics of @entity1 who report @entity0 screening and with characteristics of @entity1 who report no @entity0 screening. The organizing framework for this study was derived from the United States Department of Health and @entity1 Services Determinants of Health Model. An investigator-designed instrument was used to assess the influence of age, family history of @entity0 insurance status, characteristics of residential neighborhood and local access to breast care on @entity0 screening. While the majority of the @entity1 surveyed reported @entity0 screening, less than half of the @entity1 reported screening that was consistent with recommended @entity0 screening guidelines (i.e. annual mammography and annual clinical breast examination). Deficits in @entity0 screening were noted most among @entity1 who were uninsured, with no knownfamily history of @entity0 , who resided in @entity258 , @entity389 without facilities for primary breast care. The results of this study demonstrate the needfor clinicians, health care administrators and advocates committed to @entity0 detection and control within targeted communities. They must carefully assess the impact of individual, social and structural factors on @entity0 screening, and the need to design initiatives specifically targeted to @entity1 who have received less than optimal or no @entity0 screening.
