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      Socioeconomic Disparity in Breast Cancer Detection in Hong Kong – A High Income City: Retrospective Epidemiological Study Using the Breast Cancer Registry

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          Abstract

          Background

          It is not known whether socioeconomic disparities affect the detection of breast cancer in Asian countries where the incidence of breast cancer is a rising trend. In this study, we explore the socioeconomic profiles of women and the stage of the disease at the time of diagnosis in breast cancer patients aged 40 or over in Hong Kong.

          Method

          During the period 2008 to 2011, 5393 breast cancer patients registered with the Hong Kong Breast Cancer Registry. Participants and their clinicians were asked to complete standardised questionnaires including patient socio-demographics, health history and risk factors, the course of the disease, post-treatment physical discomfort and psychosocial impact, follow-up recurrence and survival status.

          Results

          Monthly household incomes, educational levels and the practice of regular screening are independently associated with the stage of the disease at diagnosis. Higher socioeconomic status and a higher educational level were associated with an earlier stage of the disease at the time of diagnosis. Yearly clinical examinations, ultrasound and mammographic screening every 2 to 3 years were significantly associated with the earlier detection of breast cancer.

          Conclusion

          There were socioeconomic disparities among Hong Kong women who were found to have breast cancer. Population-based screening policies, including raising awareness among women at risk, should be implemented.

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          Most cited references10

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          Disparities in breast cancer characteristics and outcomes by race/ethnicity.

          Disparities in breast cancer stage and mortality by race/ethnicity in the United States are persistent and well known. However, few studies have assessed differences across racial/ethnic subgroups of women broadly defined as Hispanic, Asian, or Pacific Islander, particularly using more recent data. Using data from 17 population-based cancer registries in the Surveillance, Epidemiology, and End Results (SEER) program, we evaluated the relationships between race/ethnicity and breast cancer stage, hormone receptor status, treatment, and mortality. The cohort consisted of 229,594 women 40-79 years of age diagnosed with invasive breast carcinoma between January 2000 and December 2006, including 176,094 non-Hispanic whites, 20,486 Blacks, 15,835 Hispanic whites, 14,951 Asians, 1,224 Pacific Islanders, and 1,004 American Indians/Alaska Natives. With respect to statistically significant findings, American Indian/Alaska Native, Asian Indian/Pakistani, Black, Filipino, Hawaiian, Mexican, Puerto Rican, and Samoan women had 1.3-7.1-fold higher odds of presenting with stage IV breast cancer compared to non-Hispanic white women. Almost all groups were more likely to be diagnosed with estrogen receptor-negative/progesterone receptor-negative (ER-/PR-) disease with Black and Puerto Rican women having the highest odds ratios (2.4 and 1.9-fold increases, respectively) compared to non-Hispanic whites. Lastly, Black, Hawaiian, Puerto Rican, and Samoan patients had 1.5-1.8-fold elevated risks of breast cancer-specific mortality. Breast cancer disparities persist by race/ethnicity, though there is substantial variation within subgroups of women broadly defined as Hispanic or Asian. Targeted, multi-pronged interventions that are culturally appropriate may be important means of reducing the magnitudes of these disparities.
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            Socioeconomic status and survival after an invasive breast cancer diagnosis.

            Women who live in geographic areas with high poverty rates and low levels of education experience poorer survival after a breast cancer diagnosis than women who live in communities with indicators of high socioeconomic status (SES). However, very few studies have examined individual-level SES in relation to breast cancer survival or have assessed the contextual role of community-level SES independent of individual-level SES. The authors of this report examined both individual-level and community-level SES in relation to breast cancer survival in a population-based cohort of women ages 20 to 69 years who were diagnosed with breast cancer in Wisconsin between 1995 and 2003 (N = 5820). Compared with college graduates, women who had no education beyond high school were 1.39 times more likely (95% confidence interval [CI], 1.10-1.76) to die from breast cancer. Women who had household incomes <2.5 times the poverty level were 1.46 times more likely (95% CI, 1.10-1.92) to die from breast cancer than women who had household incomes ≥5 times the poverty level. Adjusting the analysis for use of screening mammography, disease stage at diagnosis, and lifestyle factors eliminated the disparity by income, but the disparity by education persisted (hazard ratio [HR], 1.27; 95% CI, 0.99-1.61). In multilevel analyses, low community-level education was associated with increased breast cancer mortality even after adjusting for individual-level SES (HR, 1.57; 95% CI, 1.09-2.27 for ≥20% vs <10% of adults without a high school degree). The current results indicated that screening and early detection explain some of the disparity according to SES, but further research will be needed to understand the additional ways in which individual-level and community-level education are associated with survival. Copyright © 2010 American Cancer Society.
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              Socioeconomic disparities in breast cancer survival: relation to stage at diagnosis, treatment and race

              Xue Yu (2009)
              Background Previous studies have documented lower breast cancer survival among women with lower socioeconomic status (SES) in the United States. In this study, I examined the extent to which socioeconomic disparity in breast cancer survival was explained by stage at diagnosis, treatment, race and rural/urban residence using the Surveillance, Epidemiology, and End Results (SEER) data. Methods Women diagnosed with breast cancer during 1998-2002 in the 13 SEER cancer registry areas were followed-up to the end of 2005. The association between an area-based measure of SES and cause-specific five-year survival was estimated using Cox regression models. Six models were used to assess the extent to which SES differences in survival were explained by clinical and demographical factors. The base model estimated the hazard ratio (HR) by SES only and then additional adjustments were made sequentially for: 1) age and year of diagnosis; 2) stage at diagnosis; 3) first course treatment; 4) race; and 5) rural/urban residence. Results An inverse association was found between SES and risk of dying from breast cancer (p < 0.0001). As area-level SES falls, HR rises (1.00 → 1.05 → 1.23 → 1.31) with the two lowest SES groups having statistically higher HRs. This SES differential completely disappeared after full adjustment for clinical and demographical factors (p = 0.20). Conclusion Stage at diagnosis, first course treatment and race explained most of the socioeconomic disparity in breast cancer survival. Targeted interventions to increase breast cancer screening and treatment coverage in patients with lower SES could reduce much of socioeconomic disparity.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                1 October 2014
                : 9
                : 10
                : e107630
                Affiliations
                [1 ]Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong, Hong Kong
                [2 ]Hong Kong Breast Cancer Foundation, North Point, Hong Kong, Hong Kong
                Sudbury Regional Hospital, Canada
                Author notes

                Competing Interests: WKK, Astra-Zeneca, Genomic Health, Glaxo-Smith-Kline, Novartis, Pfizer, Roche and Sanofi-Aventis provided funding for this study. There are no patents, products in development or marketed products to declare. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: EF PC. Performed the experiments: AC HML. Analyzed the data: AC JSYC SG HCYL. Contributed reagents/materials/analysis tools: AC. Wrote the paper: JSYC.

                Article
                PONE-D-13-49806
                10.1371/journal.pone.0107630
                4182676
                25271739
                98ecc9db-688e-4bc8-983d-a79924c5b1b2
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 December 2013
                : 21 August 2014
                Page count
                Pages: 7
                Funding
                The financial support is from Professor Richard Yu Charity Photo Exhibition, WKK, Astra-Zeneca, Genomic Health, Glaxo-Smith-Kline, Novartis, Pfizer, Roche and Sanofi-Aventis and individual and anonymous donors who have supported the maintenance of HKBCR database. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Epidemiology
                Health Care
                Health Care Policy
                Screening Guidelines
                Health Education and Awareness
                Socioeconomic Aspects of Health
                Oncology
                Cancer Detection and Diagnosis
                Cancer Screening
                Cancers and Neoplasms
                Breast Tumors
                Breast Cancer
                Public and Occupational Health
                Health Screening
                Women's Health
                Obstetrics and Gynecology
                People and Places
                Demography
                Research and Analysis Methods
                Research Design
                Survey Research
                Survey Methods
                Clinical Research Design
                Retrospective Studies
                Social Sciences
                Sociology

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                Uncategorized

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