142nd APHA Annual Meeting and Exposition

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307795
Interactive mapping with cancer incidence, demographic, and behavioral risk data

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Monday, November 17, 2014 : 11:10 AM - 11:30 AM

Chester Schmaltz, PhD , Missouri Cancer Registry and Research Center/Dept. of Health Management & Informatics, University of Missouri--Columbia, School of Medicine, Columbia, MO
Jeannette Jackson-Thompson, MSPH, PhD , Missouri Cancer Registry and Research Center/Dept. of Health Management & Informatics, University of Missouri School of Medicine, Columbia, MO
Iris Zachary, PhD, MSIT, CTR , Department of Health Management & Informatics, University of Missouri School of Medicine, Columbia, MO
BACKGROUND: The capability of showing where the burden of cancer is high, and especially to put it into context with demographic, socioeconomic, and behavior risks can provide an important part of disseminating data to the public. The Missouri Cancer Registry and Research Center (MCR-ARC) collects population-based patient, tumor and treatment data from healthcare providers about Missouri residents diagnosed with reportable tumors. MCR-ARC currently disseminates data to the public as tables via the Missouri Department of Health and Senior Services' (DHSS) interactive MICA website and as interactive maps of selected cancers types (without additional contextual indicators).

PURPOSE: To produce a better means of disseminating cancer data to the public, an interactive map incorporating data on a small number of cancer types and additional possibly related indicators from other data sources was produced.

METHODS: An interactive county-level map has been produced containing cancer incidence from MCR-ARC, cancer mortality from NCHS, behavior risk factors from DHSS and additional other sources. The cancer sites of interest were all sites combined, lung & bronchus, (female) breast, and colorectal. Breast and colorectal data were also shown for ages 40+ and 50+, respectively, due to screening guidelines for those two cancers, and breast data was shown for ages 55+ due to evidence that obesity may be associated with post-menopausal breast cancer. Behavior risk data included the prevalence of cancer screening, smoking, obesity, lack of healthcare coverage, general health status, nutrition, and exercise. Demographic/socioeconomic indicators included age, education, employment, poverty, income, and race/ethnicity.

RESULTS: While it does not replace a fully-featured statistical package for analysis of data and the effort to setup is high, the resulting maps do provide an intuitive method of geographically visualizing where cancer is being diagnosed in relation to additional contextual factors. Using such maps may provide a great interface for members of the general public to utilize data from the cancer registry and to put the data into context of other related factors.

DISCUSSION: A system capable of mapping the data interactively may provide a better means for members of the public to access cancer data since it allows them to see the data in a more intuitive means than a table. Additionally it allows the user to put the data in context in terms of geographic and other contextual factors such as behavior risks. This presentation will include a real-time demonstration of an interactive mapping system utilizing cancer and related data.

Learning Areas:

Chronic disease management and prevention
Communication and informatics
Program planning

Learning Objectives:
Demonstrate the utility of interactive mapping when exploring cancer incidence data. Explain how interactive mapping makes cancer incidence data more accessible to the general public. Identify county-level factors that are associated with cancer incidence.

Keyword(s): Cancer, Data Collection and Surveillance

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am the Senior Statistician at the Missouri Cancer Registry and Research Center (MCR-ARC). I received a PhD in Statistics from the University of Missouri in 2012 where I had spent many years working at the MCR-ARC as a graduate research assistant. Currently, I am working on special projects with which the registry is involved; I field data requests and assist core surveillance activities as needed.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.