This study identified patient, provider, and health care system factors that influenced mammography rescreening among non-insured, racial/ethnic minority women. Data were collected using a stratified-clustered random sample survey of 1,050 women of five racial/ethnic groups (Latina, Chinese, Filipina, African American, and Caucasian) and 102 primary care clinical sites. Women received screening services through two no-cost screening programs in California. Chi-square tests were used to assess bivariate associations and multiple logistic regressions were used to compute adjusted odds ratios and 95% confidence intervals. Mammography rescreening was associated with living in the United States longer; having higher education levels, better health care access, a history of breast problems, and favorable perceptions of mammography; obtaining regular Pap screening and hormone replacement therapy; having had better communication with clinicians; and attending clinics that conducted in-reach activities. This study suggests that simply removing financial barriers is not enough to improve mammography rescreening among underserved women.
Individual and health-care-delivery-system factors play important roles in the obtaining of regular mammograms by low-income women. These findings highlight the importance of both factors in improving rescreening rates among older women.
Community clinics provide inadequate breast cancer screening services to low-income, racially- and ethnically-diverse communities. This study develops and evaluates the effectiveness of multifaceted organizational system interventions--operational assessments, tracking systems, reminder calls, tailored education, physician prompts and a tailored counseling call--on mammography rescreening rates within three community clinics. We used the Chronic Care Model and Put Prevention Into Practice framework to redesign breast screening delivery services within the California Cancer Detection Programs: Every Woman Counts (CDP:EWC), community clinic settings. We used a quasi-experimental design with a random selection of 400 patients at pre-intervention. To establish a post-intervention clinic's rescreening rate a new comparable cross-sectional random sample of 347 women was drawn. Measures A chart abstraction instrument was used to establish clinics' rescreening rates. Subjects participants at pre and post-intervention were low-income women 50 years of age and older who had received normal mammography results and had not been diagnosed with breast cancer in the last five years. General linear mixed model analysis revealed significant improvements for the organizational system redesign condition [pre-intervention rescreening rate: 32.1 percent v. post-intervention rescreening rate 50.2 percent, (p < .001)]. For the organizational system redesign plus tailored counseling call condition, there was maintenance in the rescreening rate following the intervention [pre-intervention: 44.4 percent v. post-intervention: 45.1 percent, (p > 0.05)]. Multilevel interventions directed at redesigning community clinics primary care breast cancer screening services, can improve mammography rescreening rates.
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