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Racial and geographic differences in mammography screening in St. Louis City: a multilevel study.

ABSTRACT: To examine racial differences in mammography use and its determinants in the City of St. Louis, MO, USA, we recruited women age 40 or older using random-digit dialing to (1) examine the difference in mammography use between white women and African American women and (2) identify individual- and census-tract-level risk factors of nonadherence to mammography. During telephone interviews, we inquired about mammography use and several demographic, psychosocial, and health behavior variables. We determined the residential census tracts of study subjects using a geographic information system. The rate of mammography use was 68.0% among white women and 74.7% among African American women (P = 0.022). African American women were more likely to have mammograms than white woman (adjusted odds ratio [OR] = 1.71; 95% confidence interval [CI] = 1.09-2.69). System-level barriers to mammography and heavy smoking were associated with lower mammography use among both white and African American women. Personal-experience barriers to mammography and no physician recommendation also were independently associated with mammography use among white women. White women residing within a historic geographic cluster area of late-stage breast cancer were less likely to have mammograms (adjusted OR = 0.42, 95% CI = 0.22-0.80), while African American women residing within a historic geographic cluster area of late-stage breast cancer were equally likely to have mammograms (adjusted OR = 0.79, 95% CI = 0.28-2.24). Neither individual- nor census-tract-level socioeconomic status was associated with mammography screening. These findings suggest that there may be a greater need for increasing mammography use among white women, especially in the historic cluster area of late-stage breast cancer in St. Louis.

SUBMITTER: Lian M

PROVIDER: S-EPMC2527433 | biostudies-other | 2008 Sep

REPOSITORIES: biostudies-other

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Project description:Background and aimThe public health impact of population-based mammography screening programs depends on high participation rates. Thus, monitoring participation rates, as well as understanding and considering the factors influencing attendance, is important. With the goal to acquire information on the appropriate level of intervention for increasing screening participation our study aimed to (1) examine whether, over and above individual factors, the neighborhood of residence influences a woman's mammography non-attendance, and (2) evaluate, whether knowing a woman's neighborhood of residence would be sufficient to predict non-attendance.MethodsWe analyze all women invited to mammography screening in 2005-09, residing in the city of Malmö, Sweden. Information regarding mammography screening attendance was linked to data on area of residence, demographic and socioeconomic characteristics available from Statistics Sweden. The influence of individual and neighborhood factors was assessed by multilevel logistic regression analysis with 29,901 women nested within 212 neighborhoods.ResultsThe prevalence of non-attendance among women was 18.3%. After adjusting for individual characteristics, the prevalence in the 212 neighborhoods was 3.6%. Neighborhood of residence had little influence on non-attendance. The multilevel analysis indicates that 8.4% of the total individual differences in the propensity of non-attendance were at the neighborhood level. However, when adjusting for specific individual characteristics this general contextual effect decreased to 1.8%. This minor effect was explained by the sociodemographic characteristic of the neighborhoods. The discriminatory accuracy of classifying women according to their non-attendance was 0.747 when considering only individual level variables, and 0.760 after including neighborhood level as a random effect.ConclusionOur results suggest that neighborhoods of residence in Malmö, Sweden (as defined by small-area market statistics (SAMS) areas) do not condition women's participation in population based mammography screening. Thus, interventions should be directed to the whole city and target women with a higher risk of non-attendance.

Project description:BackgroundLower mammography screening rates among minority and low income women contribute to increased morbidity and mortality from breast cancer.ObjectiveTo evaluate the effect of a patient navigation intervention on adherence rates to biennial screening mammography among women engaged in primary care at an inner-city academic medical center.DesignQuality improvement intervention with a concurrent control group, conducted from February to November of 2008.Study subjectsAll women in a hospital-based primary care practice aged 51-70 years. Subjects were randomized at the level of their primary care provider, such that half of the patients in the practice received the intervention, while the other half received usual care.InterventionsIntervention subjects whose last mammogram was >18 months prior received a combination of telephone calls and reminder letters from patient navigators trained to identify barriers to care. Navigators were integrated into primary care teams and interacted directly with patients, providers, and radiology to coordinate care. Navigators utilized an electronic report to track subjects. Adherence rates to biennial mammography were assessed in intervention and control groups at baseline and post-intervention.Key resultsA total of 3,895 women were randomized to intervention (n = 1,817) and control (n = 2,078) groups. Mean age was 60, 71% were racial/ethnic minorities, 23% were non-English speaking, and 63% had public or no health insurance. At baseline, there was no difference in mammography adherence between the control and intervention groups (78%, respectively, p = 0.55). After the 9-month intervention, mammogram adherence was higher in the intervention group compared with the control group (87% vs. 76%, respectively, p < 0.001). Except among Hispanic women who demonstrated high rates in both the intervention and control groups (85% and 83%, respectively), all racial/ethnic and insurance groups demonstrated higher adherence in the intervention group.ConclusionsPatient navigation improves biennial mammography rates for inner city, low income, minority populations.

Project description:ImportanceWhile racial disparities in prostate cancer mortality are well documented, it is not well known how these disparities vary geographically within the US.ObjectiveTo characterize geographic variation in prostate cancer-specific mortality differences between black and white men.Design, setting, and participantsThis cohort study included data from 17 geographic registries within the Surveillance, Epidemiology, and End Results (SEER) database from January 1, 2007, to December 31, 2014. Inclusion criteria were men 18 years and older with biopsy-confirmed prostate cancer. Men missing data on key variables (ie, cancer stage, Gleason grade group, prostate-specific antigen level, and survival follow-up data) were excluded. Analysis was performed from September 5 to December 25, 2018.ExposurePatient SEER-designated race (ie, black, white, or other).Main outcomes and measuresFine and Gray competing-risks regression analyses were used to evaluate the difference in prostate-cancer specific mortality between black and white men. A stratified analysis by Gleason grade group was performed stratified as grade group 1 and grade groups 2 through 5.ResultsThe final cohort consisted of 229 771 men, including 178 204 white men (77.6%), 35 006 black men (15.2%), and 16 561 men of other or unknown race (7.2%). Mean (SD) age at diagnosis was 64.9 (8.8) years. There were 4773 prostate cancer deaths among white men and 1250 prostate cancer deaths among black men. Compared with white men, black men had a higher risk of mortality overall (adjusted hazard ratio [AHR], 1.39 [95% CI, 1.30-1.48]). In the stratified analysis, there were 4 registries in which black men had worse prostate cancer-specific survival in both Gleason grade group 1 (Atlanta, Georgia: AHR, 5.49 [95% CI, 2.03-14.87]; Greater Georgia: AHR, 1.88 [95% CI, 1.10-3.22]; Louisiana: AHR, 1.80 [95% CI, 1.06-3.07]; New Jersey: AHR, 2.60 [95% CI, 1.53-4.40]) and Gleason grade groups 2 through 5 (Atlanta: AHR, 1.88 [95% CI, 1.46-2.45]; Greater Georgia: AHR, 1.29 [95% CI, 1.07-1.56]; Louisiana: AHR, 1.28 [95% CI, 1.07-1.54]; New Jersey: AHR, 1.52 [95% CI, 1.24-1.87]), although the magnitude of survival difference was lower than for Gleason grade group 1 in each of these registries. The greatest race-based survival difference for men with Gleason grade group 1 disease was in the Atlanta registry.Conclusions and relevanceThese findings suggest that population-level differences in prostate cancer survival among black and white men were associated with a small set of geographic areas and with low-risk prostate cancer. Targeted interventions in these areas may help to mitigate prostate cancer care disparities at the national level.

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Racial and geographic differences in mammography screening in St. Louis City: a multilevel study.

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