Literature DB >> 33926216

Geographic Disparities in Late-Stage Breast Cancer Diagnosis Rates and Their Persistence Over Time.

Lee R Mobley1, Florence K L Tangka2, Zahava Berkowitz2, Jacqueline Miller2, Ingrid J Hall2, Manxia Wu2, Susan A Sabatino2.   

Abstract

Background: Other than skin cancer, breast cancer is the most common cancer in the United States. Lower uptake of mammography screening is associated with higher rates of late-stage breast cancers. This study aims to show geographic patterns in the United States, where rates of late-stage breast cancer are high and persistent over time, and examines factors associated with these patterns. Materials and
Methods: We examined all primary breast cancers diagnosed among all counties in 43 U.S. states with available data. We used spatial cluster analysis to identify hot spots (i.e., spatial clusters with above average late-stage diagnosis rates among counties). Demographic and socioeconomic characteristics were compared between persistent hot spots and those counties that were never hot spots.
Results: Of the 2,599 counties examined in 43 states, 219 were identified as persistent hot spots. Counties with persistent hot spots (compared with counties that were never hot spots) were located in more deprived areas with worse housing characteristics, lower socioeconomic status, lower levels of health insurance, worse access to mammography, more isolated American Indian/Alaska Native, Black, or Hispanic neighborhoods, and larger income disparity. In addition, persistent hot spots were significantly more likely to be observed among poor, rural, African American, or Hispanic communities, but not among poor, rural, White communities. This analysis includes a broader range of socioeconomic conditions than those included in previous literature.
Conclusion: We found geographic disparities in late-stage breast cancer diagnosis rates, with some communities experiencing persistent disparities over time. Our findings can guide public health efforts aimed at reducing disparities in stage of diagnosis for breast cancer.

Entities:  

Keywords:  geographic disparities; late-stage cancer diagnosis; spatial clusters; urban–rural disparities

Mesh:

Year:  2021        PMID: 33926216      PMCID: PMC8420944          DOI: 10.1089/jwh.2020.8728

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   3.017


  26 in total

Review 1.  Routine screening mammography in women older than 74 years: a review of the available data.

Authors:  Weinstein Galit; Manfred S Green; Keinan-Boker Lital
Journal:  Maturitas       Date:  2007-03-01       Impact factor: 4.342

2.  Mammography use helps to explain differences in breast cancer stage at diagnosis between older black and white women.

Authors:  E P McCarthy; R B Burns; S S Coughlin; K M Freund; J Rice; S L Marwill; A Ash; M Shwartz; M A Moskowitz
Journal:  Ann Intern Med       Date:  1998-05-01       Impact factor: 25.391

3.  Regular mammography use is associated with elimination of age-related disparities in size and stage of breast cancer at diagnosis.

Authors:  Whitney M Randolph; James S Goodwin; Jonathan D Mahnken; Jean L Freeman
Journal:  Ann Intern Med       Date:  2002-11-19       Impact factor: 25.391

4.  The effect of Medicare health care systems on women with breast and cervical cancer.

Authors:  Robert S Kirsner; Fangchao Ma; Lora Fleming; Edward Trapido; Robert Duncan; Daniel G Federman; James D Wilkinson
Journal:  Obstet Gynecol       Date:  2005-06       Impact factor: 7.661

5.  Geographic disparities in late-stage cancer diagnosis: multilevel factors and spatial interactions.

Authors:  Lee R Mobley; Tzy-Mey May Kuo; Lisa Watson; G Gordon Brown
Journal:  Health Place       Date:  2012-06-26       Impact factor: 4.078

6.  How generalizable are the SEER registries to the cancer populations of the USA?

Authors:  Tzy-Mey Kuo; Lee R Mobley
Journal:  Cancer Causes Control       Date:  2016-07-21       Impact factor: 2.506

7.  Geographic patterns of advanced breast cancer in Los Angeles: associations with biological and sociodemographic factors (United States).

Authors:  Marcia L Gumpertz; Linda Williams Pickle; Barry A Miller; B Sue Bell
Journal:  Cancer Causes Control       Date:  2006-04       Impact factor: 2.506

8.  Mammography before diagnosis among women age 80 years and older with breast cancer.

Authors:  Brian D Badgwell; Sharon H Giordano; Zhigang Z Duan; Shenying Fang; Isabelle Bedrosian; Henry M Kuerer; S Eva Singletary; Kelly K Hunt; Gabriel N Hortobagyi; Gildy Babiera
Journal:  J Clin Oncol       Date:  2008-04-21       Impact factor: 44.544

9.  What Predicts an Advanced-Stage Diagnosis of Breast Cancer? Sorting Out the Influence of Method of Detection, Access to Care, and Biologic Factors.

Authors:  Joseph Lipscomb; Steven T Fleming; Amy Trentham-Dietz; Gretchen Kimmick; Xiao-Cheng Wu; Cyllene R Morris; Kun Zhang; Robert A Smith; Roger T Anderson; Susan A Sabatino
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-01-27       Impact factor: 4.254

10.  Detecting an association between socioeconomic status and late stage breast cancer using spatial analysis and area-based measures.

Authors:  Jill Amlong MacKinnon; Robert C Duncan; Youjie Huang; David J Lee; Lora E Fleming; Lydia Voti; Mark Rudolph; James D Wilkinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-04       Impact factor: 4.254

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