HHS Public Access Author manuscript Author Manuscript
J Biomed Inform. Author manuscript; available in PMC 2017 April 01. Published in final edited form as: J Biomed Inform. 2016 April ; 60: 95–103. doi:10.1016/j.jbi.2016.01.013.
The Geographic Distribution of Cardiovascular Health in the Stroke Prevention in Healthcare Delivery Environments (SPHERE) Study
Author Manuscript
Caryn Roth, MPH1, Philip R.O. Payne, PhD1, Rory C. Weier, MPH2,3, Abigail B. Shoben, PhD4, Erica N. Fletcher, MPH3, Albert M. Lai, PhD1, Marjorie M. Kelley, MS1, Jesse J. Plascak, PhD5, and Randi E. Foraker, PhD1,3 1Department
of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio USA
2Comprehensive
Cancer Center, James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio USA
3Division
of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio
USA 4Division
of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio
USA 5Department
Author Manuscript
of Health Services, School of Public Health, University of Washington, Seattle, Washington USA
Abstract Background—Community-level factors have been clearly linked to health outcomes, but are challenging to incorporate into medical practice. Increasing use of electronic health records (EHRs) makes patient-level data available for researchers in a systematic and accessible way, but these data remain siloed from community-level data relevant to health. Purpose—This study sought to link community and EHR data from an older female patient cohort participating in an ongoing intervention at the Ohio State University Wexner Medical Center to associate community-level data with patient-level cardiovascular health (CVH) as well as to assess the utility of this EHR integration methodology.
Author Manuscript
Corresponding author and reprints: Randi E. Foraker, The Ohio State University, College of Public Health, Division of Epidemiology, 1841 Neil Avenue | 334 Cunz Hall, Columbus, OH 43201, Phone: 614-292-9916, [email protected]. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Competing Interests Statement The authors have no competing interests to declare. Contributorship Statement REF conceived and supervised the study and assisted with the writing. PROP, AML and MMK assisted with the study and the writing. CR completed the analyses and led the writing. ABS assisted with the analyses and the writing. ENF assisted with the writing. RCW assisted with the writing and creation of maps. JJP assisted with the writing and informed the creation of maps. All authors reviewed and approved the manuscript as written.
Roth et al.
Page 2
Author Manuscript
Materials and Methods—CVH was characterized among patients using available EHR data collected May through July of 2013. EHR data for 153 patients were linked to United States census-tract level data to explore feasibility and insights gained from combining these disparate data sources. Analyses were conducted in 2014. Results—Using the linked data, weekly per capita expenditure on fruits and vegetables was found to be significantly associated with CVH at the p
J Biomed Inform. Author manuscript; available in PMC 2017 April 01. Published in final edited form as: J Biomed Inform. 2016 April ; 60: 95–103. doi:10.1016/j.jbi.2016.01.013.
The Geographic Distribution of Cardiovascular Health in the Stroke Prevention in Healthcare Delivery Environments (SPHERE) Study
Author Manuscript
Caryn Roth, MPH1, Philip R.O. Payne, PhD1, Rory C. Weier, MPH2,3, Abigail B. Shoben, PhD4, Erica N. Fletcher, MPH3, Albert M. Lai, PhD1, Marjorie M. Kelley, MS1, Jesse J. Plascak, PhD5, and Randi E. Foraker, PhD1,3 1Department
of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio USA
2Comprehensive
Cancer Center, James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio USA
3Division
of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio
USA 4Division
of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio
USA 5Department
Author Manuscript
of Health Services, School of Public Health, University of Washington, Seattle, Washington USA
Abstract Background—Community-level factors have been clearly linked to health outcomes, but are challenging to incorporate into medical practice. Increasing use of electronic health records (EHRs) makes patient-level data available for researchers in a systematic and accessible way, but these data remain siloed from community-level data relevant to health. Purpose—This study sought to link community and EHR data from an older female patient cohort participating in an ongoing intervention at the Ohio State University Wexner Medical Center to associate community-level data with patient-level cardiovascular health (CVH) as well as to assess the utility of this EHR integration methodology.
Author Manuscript
Corresponding author and reprints: Randi E. Foraker, The Ohio State University, College of Public Health, Division of Epidemiology, 1841 Neil Avenue | 334 Cunz Hall, Columbus, OH 43201, Phone: 614-292-9916, [email protected]. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Competing Interests Statement The authors have no competing interests to declare. Contributorship Statement REF conceived and supervised the study and assisted with the writing. PROP, AML and MMK assisted with the study and the writing. CR completed the analyses and led the writing. ABS assisted with the analyses and the writing. ENF assisted with the writing. RCW assisted with the writing and creation of maps. JJP assisted with the writing and informed the creation of maps. All authors reviewed and approved the manuscript as written.
Roth et al.
Page 2
Author Manuscript
Materials and Methods—CVH was characterized among patients using available EHR data collected May through July of 2013. EHR data for 153 patients were linked to United States census-tract level data to explore feasibility and insights gained from combining these disparate data sources. Analyses were conducted in 2014. Results—Using the linked data, weekly per capita expenditure on fruits and vegetables was found to be significantly associated with CVH at the p
