Journal article
A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions
Preventing chronic disease, Vol.17, pp.E01-E01
01/02/2020
DOI: 10.5888/pcd17.190254
PMCID: PMC6977777
PMID: 31895673
Abstract
Bivariate choropleth mapping is a straightforward but underused method for displaying geographic health information to use in public health decision making. Previous studies have recommended this approach for state comprehensive cancer control planning and similar efforts. In this method, 2 area-level variables of interest are mapped simultaneously, often as overlapping quantiles or by using other classification methods. Variables to be mapped may include area-level (eg, county level) measures of disease burden, health care use, access to health care services, and sociodemographic characteristics. We demonstrate how geographic information systems software, specifically ArcGIS, can be used to develop bivariate choropleth maps to inform resource allocation and public health interventions. We used 2 types of county-level public health data: South Carolina's Behavioral Risk Factor Surveillance System estimates of ever having received cervical cancer screening, and a measure of availability of cervical cancer screening providers that are part of South Carolina's Breast and Cervical Cancer Early Detection Program. Identification of counties with low screening rates and low access to care may help inform where additional resources should be allocated to improve access and subsequently improve screening rates. Similarly, identifying counties with low screening rates and high access to care may help inform where educational and behavioral interventions should be targeted to improve screening in areas of high access.
Details
- Title: Subtitle
- A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions
- Creators
- Claire Biesecker - Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South CarolinaWhitney E Zahnd - Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, 220 Stoneridge Dr, Ste 204, Columbia, SC 29210. Email: zahnd@mailbox.sc.eduHeather M Brandt - Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South CarolinaSwann Arp Adams - College of Nursing, University of South Carolina, Columbia, South CarolinaJan M Eberth - Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
- Resource Type
- Journal article
- Publication Details
- Preventing chronic disease, Vol.17, pp.E01-E01
- DOI
- 10.5888/pcd17.190254
- PMID
- 31895673
- PMCID
- PMC6977777
- ISSN
- 1545-1151
- eISSN
- 1545-1151
- Language
- English
- Date published
- 01/02/2020
- Academic Unit
- Health Management and Policy
- Record Identifier
- 9984214799202771
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