RT Journal Article SR Electronic T1 Rural congestive heart failure mortality among US elderly, 1999–2013: Identifying counties with promising outcomes and opportunities for implementation research JF Family Medicine and Community Health JO Fam Med Com Health FD BMJ Publishing Group Ltd SP 27 OP 38 DO 10.15212/FMCH.2015.0117 VO 3 IS 2 A1 Mejia de Grubb, Maria C. A1 Levine, Robert S. A1 Kilbourne, Barbara A1 Husaini, Baqar A. A1 Skelton, Tyler A1 Gittner, Lisa A1 Langston, Michael A. A1 Rust, George E. YR 2015 UL http://fmch.bmj.com/content/3/2/27.abstract AB Objective Describe modern trends in congestive heart failure (CHF) among elderly (>65 years of age) in the United States, to identify potentially successful rural areas. Compare CHF mortality using multiple- (MCOD) versus underlying-(UCOD) cause of death data.Methods U.S. Centers for Disease Control and Prevention mortality files (WONDER internet site).Results Using MCOD data, overall mortality rates/100,000 population (and 95% confidence intervals) for CHF among persons >65 years of age (1999–2013) were 482.0 (481.2–482.8) for large central and large fringe metropolitan (LCLF) counties, 549.6 (548.6–550.7) in small and medium metropolitan (SM) counties, and 652.6 (650.9–654.0) in micropolitan and non-core, non-metropolitan (MNCNM) counties. Twenty positive deviance NCNM counties (collectively including 198,581 residents >65 years of age) had an overall CHF rate of 300.9 (275.0–326.9) in 2013. This was significantly lower than the LCLF rate for 2013 (482.0 [481.2–482.8]), and represented a reduction of 47% since 1999. Overall CHF occurrence as estimated with MCOD was 3.4-fold higher than that obtained with UCOD.Conclusion These data illustrate underestimation of CHF by UCOD data and the importance of correct death certification. Rural CHF mortality rates are higher than urban rates, but some positive deviance counties demonstrate that this is not inevitable. Further research is needed to understand the relative contribution of research innovation, medical care, and public health to rural-urban disparities and the relative success of positive deviance counties.