TY - JOUR
T1 - Utilizing spatial statistics to identify cancer hot spots
T2 - A surveillance strategy to inform community-engaged outreach efforts
AU - Ruktanonchai, Corrine W.
AU - Pindolia, Deepa K.
AU - Striley, Catherine W.
AU - Odedina, Folakemi T.
AU - Cottler, Linda B.
N1 - Funding Information:
Acknowledgements: We would like to acknowledge the National Institutes of Health (NIH) and National Center for Advancing Translational Sciences (NCATS) Clinical and Translational Science Institute and the University of Florida (UF) College of Public Health & Health Professions and College of Medicine. The Clinical and Translational Science Institute (CTSI) is supported in part by the NIH/NCATS Clinical and Translational Science Award to the University of Florida, grant UL1 TR000064. The content is solely the responsibility of the authors and does not necessarily represent the official view of the NIH. We would also like to acknowledge Dr. Jason Blackburn and Ian Kracalik for their input and edits, and the entire HealthStreet team, particularly CHWs for collecting the data.
Publisher Copyright:
© 2014 Ruktanonchai et al.
PY - 2014
Y1 - 2014
N2 - Background: Utilization of spatial statistics and Geographic Information Systems (GIS) technologies remain underrepresented in the community-engagement literature, despite its potential role in informing community outreach efforts and in identifying populations enthusiastic to participate in biomedical and health research. Such techniques are capable not only of examining the epidemiological relationship between the environment and a disease, but can also focus limited resources and strategically inform where on the landscape outreach efforts may be optimized. Methods: These analyses present several spatial statistical techniques among the HealthStreet population, a community-engaged organization with aims to link underrepresented populations to medical and social care as well as opportunities to participate in University-sponsored research. Local Indicators of Spatial Association (LISA) and Getis-Ord Gi*(d) statistics are utilized to examine where cancer-related "hot spots" exist among minority and non-minority HealthStreet respondents within Alachua County, Florida, United States (US). Interest in research is also reported, by minority status and lifetime history of cancer. Results: Overall, spatial clustering of cancer was observed to vary by minority status, suggesting disparities may exist among minorities and non-minorities in regards to where cancer is occurring. Specifically, significant hot spots of cancer were observed among non-minorities in more urban areas throughout Alachua County, Florida, US while more rural clusters were observed among minority members, specifically west and southwest of urban city limits. Conclusions: These results may help focus future outreach efforts to include underrepresented populations in health research, as well as focus preventative and palliative oncological care. Further, global community engaged studies and community outreach efforts outside of the United States may use similar methods to focus limited resources and recruit underrepresented populations into health research.
AB - Background: Utilization of spatial statistics and Geographic Information Systems (GIS) technologies remain underrepresented in the community-engagement literature, despite its potential role in informing community outreach efforts and in identifying populations enthusiastic to participate in biomedical and health research. Such techniques are capable not only of examining the epidemiological relationship between the environment and a disease, but can also focus limited resources and strategically inform where on the landscape outreach efforts may be optimized. Methods: These analyses present several spatial statistical techniques among the HealthStreet population, a community-engaged organization with aims to link underrepresented populations to medical and social care as well as opportunities to participate in University-sponsored research. Local Indicators of Spatial Association (LISA) and Getis-Ord Gi*(d) statistics are utilized to examine where cancer-related "hot spots" exist among minority and non-minority HealthStreet respondents within Alachua County, Florida, United States (US). Interest in research is also reported, by minority status and lifetime history of cancer. Results: Overall, spatial clustering of cancer was observed to vary by minority status, suggesting disparities may exist among minorities and non-minorities in regards to where cancer is occurring. Specifically, significant hot spots of cancer were observed among non-minorities in more urban areas throughout Alachua County, Florida, US while more rural clusters were observed among minority members, specifically west and southwest of urban city limits. Conclusions: These results may help focus future outreach efforts to include underrepresented populations in health research, as well as focus preventative and palliative oncological care. Further, global community engaged studies and community outreach efforts outside of the United States may use similar methods to focus limited resources and recruit underrepresented populations into health research.
KW - Community outreach
KW - Community-engagement research
KW - Geographic information systems
KW - Health research recruitment
KW - Spatial epidemiology
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U2 - 10.1186/1476-072X-13-39
DO - 10.1186/1476-072X-13-39
M3 - Article
C2 - 25304037
AN - SCOPUS:84965190766
SN - 1476-072X
VL - 13
JO - International Journal of Health Geographics
JF - International Journal of Health Geographics
IS - 1
M1 - 39
ER -