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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Decomposing socioeconomic disparity in the utilization of screening mammography: A cross-sectional analysis from the
Moslem Soofi1, Behzad Karami-Matin2, Farid Najafi2
1Social Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
We aimed to examine the degree of socioeconomic inequality in screening mammography among Kurdish women of Iran. Data from the Ravansar Non-Communicable Diseases (RaNCD) Cohort Study were used. A total of 3,219 women aged 35-65 years were studied. The concentration index (CIn) was used to measure the magnitude of socioeconomic-related inequalities in screening mammography. Decomposition analysis was employed to calculate the contribution of each explanatory variable to the observed inequality. The participation rate for screening mammography was 19.7%. The CIn of screening mammography was 0.142 (95% CI: 0.0197, 0.0656), indicating that screening mammography is more concentrated among high-SES women. Socioeconomic status, education level and area of residence were the main contributors to the observed inequality, respectively. We found a pro-rich inequality in screening mammography among Iranian Kurdish women. For mitigating socioeconomic inequality in screening mammography policymakers should focus more on the poor and rural communities.
We aimed to examine the degree of socioeconomic inequality in screening mammography among Kurdish women of Iran. Data from the Ravansar Non-Communicable Diseases (RaNCD) Cohort Study were used. A total of 3,219 women aged 35-65 years were studied. The concentration index (CIn) was used to measure the magnitude of socioeconomic-related inequalities in screening mammography. Decomposition analysis was employed to calculate the contribution of each explanatory variable to the observed inequality. The participation rate for screening mammography was 19.7%. The CIn of screening mammography was 0.142 (95% CI: 0.0197, 0.0656), indicating that screening mammography is more concentrated among high-SES women. Socioeconomic status, education level and area of residence were the main contributors to the observed inequality, respectively. We found a pro-rich inequality in screening mammography among Iranian Kurdish women. For mitigating socioeconomic inequality in screening mammography policymakers should focus more on the poor and rural communities.

