CHHS Research Group Has Two Papers Accepted
|Date: Monday, April 22nd, 2013||Return to Archive|
Ellis-Griffith, G., Michimi, A., English, G., and Peterson, T. (2013). REDCap and Rural Health: An Opportunity to Enhance Collaborative Research and Rural Health Care Delivery. International Journal of Reliable and Quality E-Healthcare 2(1), 26-42.
Abstract: This paper describes the opportunities for promoting collaborative research and improving rural health care delivery by the implementation of REDCap software. In the era of advanced technologies, rapid development and dissemination of electronic health data may be possible. Health data are accessed by collaborating researchers in various academic disciplines through the Internet. Community-based approaches to health care delivery through the mobile health clinics may be integrated into the development and utilization of databases through REDCap to improve rural health. Multifunctional features of REDCap provide useful tools in various stages of health care delivery planning that support both research and operational endeavors. The authors will discuss potential usage of REDCap using an existing mobile health clinic in South Central Kentucky as a primary source of data, and describe how health data may be used in conjunction with REDCap with the goal of improving the health of rural communities in South Central Kentucky.
Michimi, A., Ellis-Griffith, G., Nagy, C., and Peterson, T. (2013). Coronary Heart Disease Prevalence and Occupational Structure in U.S. Metropolitan Areas: A Multilevel Analysis. Health & Place 21, 192-204.
Abstract: This research explored the link between coronary heart disease (CHD) prevalence and metropolitan-area level occupational structure among 137 metropolitan/micropolitan statistical areas (MMSA) in the United States. Using data from the 2006-2008 Behavioral Risk Factor Surveillance System and 2007 County Business Patterns, logistic mixed models were developed to estimate CHD prevalence between MMSAs controlling for individual-level socioeconomic characteristics and various types of occupational structure. Results showed that CHD prevalence was lower in MMSAs where their economy was dominated by 'tourism and resort' and 'the quaternary sector' and higher in MMSAs dominated by 'manufacturing', 'transportation and warehousing', and 'mining'. MMSA-level effects on CHD were found in 'tourism and resort' and 'the quaternary sector' having lower risk and 'mining' having higher risk of CHD. Although these effects prevailed in many MMSAs, some MMSAs did not fit into these effects. Additional analysis indicated a possible link between metropolitan population loss and higher CHD prevalence especially in the coal mining region of the Appalachian Mountains.
Dr. Akihiko Michimi Dr. Gary English Dr. Tina Peterson
Dr. Gregory Ellis-Griffith Dr. M. Christine Nagy
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