Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit.

This study evaluates the role of black residential segregation and spatial access to health care in explaining the variation in late-stage diagnosis of breast cancer in metropolitan Detroit. Data pertaining to female breast cancer from 1998 to 2002 are obtained from the Michigan Cancer Surveillance...

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Publicado en:Health & Place Vol. 16; no. 5; pp. 1038 - 1053
Autor principal: Dai D
Formato: research Journal Article
Publicado: Elsevier B.V. Sep2010
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Elsevier B.V.
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        2010751001
        10.1016/j.healthplace.2010.06.012
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        atl: Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit.
      aug:
        au: Dai D
        affil: Department of Geosciences, Core Faculty in Partnership for Urban Health Research, Institute of Public Health, 33 Gilmer Street, Georgia State University, Atlanta, GA 30303, USA. ddai@gsu.edu
      sug:
        subj:
          Black Persons Statistics and Numerical Data
          Breast Neoplasms Ethnology
          Health Services Accessibility
          Prejudice
          Residence Characteristics
          Breast Neoplasms Diagnosis
          Breast Neoplasms Epidemiology
          Breast Neoplasms Pathology
          Diagnosis, Delayed Statistics and Numerical Data
          Female
          Human
          Michigan
          Neoplasm Staging
          Social Class
          Female
      ab: This study evaluates the role of black residential segregation and spatial access to health care in explaining the variation in late-stage diagnosis of breast cancer in metropolitan Detroit. Data pertaining to female breast cancer from 1998 to 2002 are obtained from the Michigan Cancer Surveillance Program. An isolation index is used to assess black segregation. The 2-step floating catchment area approach integrated with a Gaussian function is used to estimate the health care access. While socioeconomic factors at ZIP code level are controlled, ordinary least squares and spatial lag models are used to explore the association between the rates of late-stage diagnosis and segregation and health care access. Results suggest that living in areas with greater black segregation and poorer mammography access significantly increases the risk of late diagnosis of breast cancer. Disadvantaged populations including those with low socioeconomic status or sociocultural barriers tend to experience high rates of late diagnosis. Findings emphasize the need for heightened screening, surveillance, and intervention programs in these areas.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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