Multilevel Regression for Small-Area Estimation of Mammography Use in the United States, 2014.

ABSTRACT:

Background

The U.S. Preventive Services Task Force recommends biennial screening mammography for average-risk women aged 50-74 years. County-level information on population measures of mammography use can inform targeted intervention to reduce geographic disparities in mammography use. County-level estimates for mammography use nationwide are rarely presented.

Methods

We used data from the 2014 Behavioral Risk Factor Surveillance System (BRFSS; n = 130,289 women), linked it to the American Community Survey poverty data, and fitted multilevel logistic regression models with two outcomes: mammography within the past 2 years (up-to-date), and most recent mammography 5 or more years ago or never (rarely/never). We poststratified the data with U.S. Census population counts

SUBMITTER: Berkowitz Z 

PROVIDER: S-EPMC6343124 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature