Literature DB >> 31679842

Mortality-to-incidence ratios by US Congressional District: Implications for epidemiologic, dissemination and implementation research, and public health policy.

Jan M Eberth1, Whitney E Zahnd2, Swann Arp Adams3, Daniela B Friedman4, Stephanie B Wheeler5, James R Hébert6.   

Abstract

The mortality-to-incidence ratio (MIR) can be computed from readily accessible, public-use data on cancer incidence and mortality, and a high MIR value is an indicator of poor survival relative to incidence. Newly available data on congressional district-specific cancer incidence and mortality from the U.S. Cancer Statistics (USCS) database from 2011 to 2015 were used to compute MIR values for overall (all types combined), breast, cervix, colorectal, esophagus, lung, oral, pancreas, and prostate cancer. Congressional districts in the South and Midwest, including MS, AL, and KY, had higher (worse) MIR values for all cancer types combined than for the U.S. as a whole. For all cancers combined, there was a positive correlation between each district's percent of rural residents and the MIR (r = 0.47; p < .001). The MIR for all cancer types combined was lower in districts within states that expanded Medicaid vs. those states that did not expand Medicaid (0.36 vs. 0.38; p < .001). A positive correlation was seen between the proportion of non-Hispanic Black residents and MIR (r = 0.15; p < .01 for all cancers). Lower MIRs were observed in districts in New England and in states that expanded Medicaid. However, there also were some interesting departures from this rule (e.g., Wyoming, South Dakota, parts of Wisconsin and Florida). Rural congressional districts have generally higher MIRs than more urban districts. There is some concern that poorer, more rural states that did not expand Medicaid may experience greater disparities in MIRs relative to Medicaid expansion states in the future.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer incidence; Cancer mortality; Mortality-to-incidence ratio; Neoplasms; Racial; disparities, Congressional Districts, Rurality.

Mesh:

Year:  2019        PMID: 31679842      PMCID: PMC7393609          DOI: 10.1016/j.ypmed.2019.105849

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  61 in total

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Review 2.  Colorectal cancer disparities in South Carolina: descriptive epidemiology, screening, special programs, and future direction.

Authors:  Virginie G Daguise; James B Burch; Marie-Josephe Horner; Catishia Mosley; Lorne J Hofseth; Michael J Wargovich; Stephen C Lloyd; James R Hebert
Journal:  J S C Med Assoc       Date:  2006-08

3.  Effect of Medicaid Expansion on Colorectal Cancer Screening Rates.

Authors:  Yasmin A Zerhouni; Quoc-Dien Trinh; Stuart Lipsitz; Joel Goldberg; Jennifer Irani; Ronald Bleday; Adil H Haider; Nelya Melnitchouk
Journal:  Dis Colon Rectum       Date:  2019-01       Impact factor: 4.585

4.  Is Availability of Mammography Services at Federally Qualified Health Centers Associated with Breast Cancer Mortality-to-Incidence Ratios? An Ecological Analysis.

Authors:  Swann Arp Adams; Seul Ki Choi; Jan M Eberth; Daniela B Friedman; Mei Po Yip; Reginald D Tucker-Seeley; Lisa T Wigfall; James R Hébert
Journal:  J Womens Health (Larchmt)       Date:  2015-07-24       Impact factor: 2.681

Review 5.  Breast cancer disparities in South Carolina: early detection, special programs, and descriptive epidemiology.

Authors:  Swann Arp Adams; James R Hebert; Susan Bolick-Aldrich; Virginie G Daguise; Catishia M Mosley; Mary V Modayil; Sondra H Berger; Jane Teas; Michael Mitas; Joan E Cunningham; Susan E Steck; James Burch; William M Butler; Marie-Josephe D Horner; Heather M Brandt
Journal:  J S C Med Assoc       Date:  2006-08

6.  Rural-Urban Differences in Access to Specialist Providers of Colorectal Cancer Care in the United States: A Physician Workforce Issue.

Authors:  Jonathan K Aboagye; Heather E Kaiser; Awori J Hayanga
Journal:  JAMA Surg       Date:  2014-06       Impact factor: 14.766

7.  Racial disparities in colorectal cancer incidence by type 2 diabetes mellitus status.

Authors:  Philip P Cavicchia; Swann Arp Adams; Susan E Steck; James R Hussey; Jihong Liu; Virginie G Daguisé; James R Hebert
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8.  Racial disparities in cervical cancer mortality in an African American and European American cohort in South Carolina.

Authors:  Swann Arp Adams; Alexandria Fleming; Heather M Brandt; Deborah Hurley; Susan Bolick-Aldrich; Sharon M Bond; James R Hebert
Journal:  J S C Med Assoc       Date:  2009-12

9.  U.S. congressional district cancer death rates.

Authors:  Yongping Hao; Elizabeth M Ward; Ahmedin Jemal; Linda W Pickle; Michael J Thun
Journal:  Int J Health Geogr       Date:  2006-06-23       Impact factor: 3.918

10.  Annual Report to the Nation on the Status of Cancer, part I: National cancer statistics.

Authors:  Kathleen A Cronin; Andrew J Lake; Susan Scott; Recinda L Sherman; Anne-Michelle Noone; Nadia Howlader; S Jane Henley; Robert N Anderson; Albert U Firth; Jiemin Ma; Betsy A Kohler; Ahmedin Jemal
Journal:  Cancer       Date:  2018-05-22       Impact factor: 6.860

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  4 in total

1.  The Affordable Care Act's Medicaid Expansion and Impact Along the Cancer-Care Continuum: A Systematic Review.

Authors:  Haley A Moss; Jenny Wu; Samantha J Kaplan; S Yousuf Zafar
Journal:  J Natl Cancer Inst       Date:  2020-08-01       Impact factor: 13.506

2.  Implementing Community-Based Prostate Cancer Education in Rural South Carolina: a Collaborative Approach Through a Statewide Cancer Alliance.

Authors:  Catherine Troy; Ashley Brunson; Andrew Goldsmith; Samuel Noblet; Susan E Steck; James R Hebert; Johnny Payne; Doug McCormick; Daniela B Friedman
Journal:  J Cancer Educ       Date:  2022-02       Impact factor: 2.037

3.  Favorable Lip and Oral Cancer Mortality-to-Incidence Ratios in Countries with High Human Development Index and Expenditures on Health.

Authors:  Wen-Wei Sung; Yong-Chen Hsu; Chen Dong; Ying-Ching Chen; Yu-Chi Chao; Chih-Jung Chen
Journal:  Int J Environ Res Public Health       Date:  2021-06-03       Impact factor: 3.390

4.  Using Population-Based Cancer Registration Data and Period Analysis to Accurately Assess and Predict 5-Year Relative Survival for Lung Cancer Patients in Eastern China.

Authors:  Runhua Li; Min Zhang; Yongran Cheng; Xiyi Jiang; Huijuan Tang; Liangyou Wang; Tianhui Chen; Bicheng Chen
Journal:  Front Oncol       Date:  2021-05-11       Impact factor: 6.244

  4 in total

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