The geographic distribution of cardiovascular health in the stroke prevention in healthcare delivery environments (SPHERE) study

Journal of Biomedical Informatics

Volumn 60, Issue , 2016, Pages 95-103

  Roth, Caryn ^a   Payne, Philip R O ^a   Weier, Rory C ^b,c   Shoben, Abigail B ^c   Fletcher, Erica N ^c   Lai, Albert M ^a   Kelley, Marjorie M ^a   Plascak, Jesse J ^d   Foraker, Randi E ^a,c  

^a THE OHIO STATE UNIVERSITY COLLEGE OF MEDICINE   (United States)

^b OHIO STATE UNIVERSITY   (United States)

^c OHIO STATE UNIVERSITY   (United States)

^d UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Applied clinical informatics; Cardiovascular health; Data integration; Electronic health records; Geographic information systems

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; GEOGRAPHICAL DISTRIBUTION; HEALTH; PATIENT TREATMENT; RECORDS MANAGEMENT;

CLINICAL INFORMATICS; ELECTRONIC HEALTH RECORD; ELECTRONIC HEALTH RECORD (EHRS); FRUITS AND VEGETABLES; GEOGRAPHIC INFORMATION; HEALTHCARE DELIVERY; OHIO STATE UNIVERSITY; UNEMPLOYMENT RATES;

DATA INTEGRATION;

AGED; ARTICLE; CARDIOVASCULAR RISK; CEREBROVASCULAR ACCIDENT; COHORT ANALYSIS; COST CONTROL; DECISION SUPPORT SYSTEM; DISEASE ASSOCIATION; DISEASE CONTROL; ENVIRONMENTAL FACTOR; FEASIBILITY STUDY; FEMALE; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HEALTH CARE COST; HEALTH CARE DELIVERY; HEALTH STATUS; HOUSEHOLD; HUMAN; INCOME; MAJOR CLINICAL STUDY; OUTCOME ASSESSMENT; PATIENT CARE; PRIORITY JOURNAL; STROKE PREVENTION; UNEMPLOYMENT; UNITED STATES; CARDIOVASCULAR SYSTEM; DEMOGRAPHY; ELECTRONIC HEALTH RECORD; INFORMATION RETRIEVAL; OHIO; SOCIOECONOMICS;

AGED; CARDIOVASCULAR SYSTEM; COHORT STUDIES; DELIVERY OF HEALTH CARE; ELECTRONIC HEALTH RECORDS; FEMALE; GEOGRAPHIC INFORMATION SYSTEMS; HEALTH STATUS; HUMANS; INFORMATION STORAGE AND RETRIEVAL; OHIO; RESIDENCE CHARACTERISTICS; SOCIOECONOMIC FACTORS;

EID: 84962850915     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2016.01.013     Document Type: Article

References (58)

1. Lloyd-Jones D.M., Hong Y., Labarthe D., et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond. Circulation 2010, 121(4):586-613. Epub 2010 Jan 20, Feb 2. 10.1161/CIRCULATIONAHA.109.192703.
2. Yancy C.W. Is ideal cardiovascular health attainable?. Circulation 2011, 123(8):835-837. March 1, 2011.
3. Go A.S., Mozaffarian D., Roger V.L., et al. Heart disease and stroke statistics-2014 update: a report from the american heart association. Circulation 2014, 129(3):e228-e292. Jan 21 2014.
4. Morland K., Wing S., Diez Roux A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am. J. Public Health 2002, 92(11):1761-1767. Nov.
5. Diez Roux A.V., Merkin S.S., Arnett D., et al. Neighborhood of residence and incidence of coronary heart disease. New Engl. J. Med. 2001, 345(2):99-106. Jul 12.
6. Auchincloss A.H., Mujahid M.S., Shen M., Michos E.D., Whitt-Glover M.C., Diez Roux A.V. Neighborhood health-promoting resources and obesity risk (the multi-ethnic study of atherosclerosis). Obesity (Silver Spring) 2013, 21(3):621-628. Mar.
7. Fabsitz R., Feinleib M. Geographic patterns in county mortality rates from cardiovascular diseases. Am. J. Epidemiol. 1980, 111(3):315-328. Mar.
8. Jarvie J.L., Johnson C.E., Wang Y., et al. Geographic variance of cardiovascular risk factors among community women: the national Sister to Sister campaign. J. Womens Health (Larchmt) 2011, 20(1):11-19. Jan.
9. Cubbin C., Hadden W.C., Winkleby M.A. Neighborhood context and cardiovascular disease risk factors: the contribution of material deprivation. Ethn. Dis. 2001, 11(4):687-700.
10. Mensah G.A., Mokdad A.H., Ford E.S., Greenlund K.J., Croft J.B. State of disparities in cardiovascular health in the United States. Circulation 2005, 111(10):1233-1241. Mar 15.
11. Unger E., Diez-Roux A.V., Lloyd-Jones D.M., et al. Association of neighborhood characteristics with cardiovascular health in the Multi-Ethnic Study of Atherosclerosis. Circ Cardiovasc. Qual. Outcomes 2014, 7(4):524-531.
12. Frank L.D., Saelens B.E., Chapman J., et al. Objective assessment of obesogenic environments in youth: geographic information system methods and spatial findings from the Neighborhood Impact on Kids study. Am. J. Prev. Med. 2012, 42(5):e47-e55. May.
13. Thornton L.E., Pearce J.R., Kavanagh A.M. Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary. Int. J. Behav. Nutr. Phys. Act. 2011, 8:71.
14. Roth C., Foraker R., Payne P., Embi P. Community-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis. BMC Med. Inform. Decis. Mak. 2014, 14(1):36.
15. Foraker R.E., Patel M.D., Whitsel E.A., Suchindran C.M., Heiss G., Rose K.M. Neighborhood socioeconomic disparities and 1-year case fatality after incident myocardial infarction: the Atherosclerosis Risk in Communities (ARIC) Community Surveillance (1992-2002). Am. Heart J. 2013, 165(1):102-107. Jan.
16. Foraker R.E., Rose K.M., Kucharska-Newton A.M., Ni H., Suchindran C.M., Whitsel E.A. Variation in rates of fatal coronary heart disease by neighborhood socioeconomic status: the atherosclerosis risk in communities surveillance (1992-2002). Ann. Epidemiol. 2011, 21(8):580-588.
17. Rose K.M., Suchindran C.M., Foraker R.E., et al. Neighborhood disparities in incident hospitalized myocardial infarction in four US communities: the ARIC surveillance study. Ann. Epidemiol. 2009, 19(12):867-874.
18. Rushton G. Public health, GIS, and spatial analytic tools. Annu. Rev. Public Health 2003, 24:43-56.
19. McLafferty S.L. GIS and health care. Annu. Rev. Public Health 2003, 24:25-42.
20. Pearce J., Witten K., Bartie P. Neighbourhoods and health: a GIS approach to measuring community resource accessibility. J. Epidemiol. Community Health 2006, 60(5):389-395. May.
21. Friedman D.J., Parrish R.G., Ross D.A. Electronic health records and US public health: current realities and future promise. Am. J. Public Health 2013, 103(9):1560-1567.
22. Poulymenopoulou M., Malamateniou F., Vassilacopoulos G. Machine learning for knowledge extraction from PHR big data. Stud. Health Technol. Inform. 2013, 202:36-39.
23. Guilbert T.W., Arndt B., Temte J., et al. The theory and application of UW ehealth-PHINEX, a clinical electronic health record-public health information exchange. WMJ 2012, 111(3):124-133.
24. Lloyd-Jones D.M. Cardiovascular health and protection against CVD: more than the sum of the parts?. Circulation 2014, 130(19):1671-1673. November 4, 2014.
25. Kulshreshtha A., Vaccarino V., Judd S.E., et al. Life's simple 7 and risk of incident stroke: the reasons for geographic and racial differences in stroke study. Stroke 2013, 44(7):1909-1914. June 6, 2013.
26. Foraker R., Abdel-Rasoul M., Kuller L., et al. Cardiovascular health and incident cardiovascular disease and cancer. Circulation 2013, 127:AMP08.
27. Labarthe D.R. From cardiovascular disease to cardiovascular health: a quiet revolution?. Circul.: Cardiovas. Qual. Outcomes 2012, 5(6):e86-e92. November 1, 2012.
28. IOM. Cancer Survivorship Care Planning, 2005, <> (accessed November 2005). http://www.iom.edu/~/media/Files/Report%20Files/2005/From-Cancer-Patient-to-Cancer-Survivor-Lost-in-Transition/factsheetcareplanning.pdf.
29. Rose G. Sick individuals and sick populations. Int. J. Epidemiol. 1985, 14(1):32-38.
30. Labarthe D.R. From cardiovascular disease to cardiovascular health a quiet revolution?. Circ. Cardiovasc. Qual. Outcomes 2012, 5(6):e86-e92.
31. Goldstein L.B., Bushnell C.D., Adams R.J., et al. Guidelines for the primary prevention of stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2011, 42(2):517-584. Feb.
32. S. Erdal, P. Rogers, J. Santangelo, et al. Data delivery workflow in an academic information warehouse. Paper Presented at: AMIA... Annual Symposium Proceedings/AMIA Symposium. AMIA Symposium, 2008.
33. J. Kamal, J. Liu, M. Ostrander, et al. Information warehouse-a comprehensive informatics platform for business, clinical, and research applications. Paper presented at: AMIA Annual Symposium Proceedings, 2010.
34. US Census, Topographically Intergrated Geographic Encoding and Reference (TIGER) System, 2010, <>. http://ftp2.census.gov/geo/pvs/tiger2010st/.
35. Francis S.S., Selvin S., Yang W., Buffler P.A., Wiemels J.L. Unusual space-time patterning of the Fallon, Nevada leukemia cluster: evidence of an infectious etiology. Chem. Biol. Interact 2012, 196(3):102-109.
36. Zandbergen P.A. Ensuring confidentiality of geocoded health data: assessing geographic masking strategies for individual-level data. Adv. Med. 2014.
37. Nielsen PrimeLocation, <>. http://www.nielsen.com.
38. US Census, 2008-2012 American Community Survey 5 Year Estimates, <>. http://www.census.gov/acs/www/data_documentation/summary_file/.
39. P. Huber, The behavior of maximum likelihood estimates under nonstandard conditions, in: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, 1967, pp. 221-233.
40. White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 1980, 48:817-838.
41. Foraker R.E., Shoben A.B., Lopetegui M.A., et al. Assessment of Life's Simple 7 in the primary care setting: the Stroke Prevention in Healthcare Delivery EnviRonmEnts (SPHERE) study. Contemp. Clin. Trials. 2014, 38(2):182-189.
42. Association A.D. Diagnosis and classification of diabetes mellitus. Diabetes Care 2013, 36(Suppl 1):S67-S74.
43. Johnson C., Rodriguez F., Wang Y., Foody J. Abstract 18927: geographic variation of AHA's Life's Simple seven in women. Circulation 2012, 126:A18927.
44. Holmes J.H., Lehman A., Hade E., et al. Challenges for multilevel health disparities research in a transdisciplinary environment. Am. J. Prev. Med. 2008, 35(2 Suppl):S182-S192. Aug.
45. Heath G.W., Troped P.J. The role of the built environment in shaping the health behaviors of physical activity and healthy eating for cardiovascular health. Future Cardiol. 2012, 8(5):677-679. Sep.
46. Johnson-Lawrence V., Kaplan G., Galea S. Socioeconomic mobility in adulthood and cardiovascular disease mortality. Ann. Epidemiol. 2013, 23(4):167-171. Apr.
47. Foraker R.E., Rose K.M., Kucharska-Newton A.M., Ni H., Suchindran C.M., Whitsel E.A. Variation in rates of fatal coronary heart disease by neighborhood socioeconomic status: the atherosclerosis risk in communities surveillance (1992-2002). Ann. Epidemiol. 2011, 21(8):580-588. Aug.
48. Appelhans B.M., Milliron B.J., Woolf K., et al. Socioeconomic status, energy cost, and nutrient content of supermarket food purchases. Am. J. Prev. Med. 2012, 42(4):398-402. Apr.
49. Richesson R.L., Rusincovitch S.A., Wixted D., et al. A comparison of phenotype definitions for diabetes mellitus. J. Am. Med. Inform. Assoc. 2013, amiajnl-2013-001952.
50. Freedman D.A., Mattison-Faye A., Alia K., Guest M.A., Hébert J.R. Peer reviewed: comparing farmers' market revenue trends before and after the implementation of a monetary incentive for recipients of food assistance. Prev. Chronic Dis. 2014, 11.
51. Lindsay S., Lambert J., Penn T., Hedges S., Ortwine K., Mei A. Monetary matched incentives to encourage the purchase of fresh fruits and vegetables at farmers markets in underserved communities. Prev. Chronic Dis. 2013, 10:E188.
52. Baronberg S., Dunn L., Nonas C., Dannefer R., Sacks R. The impact of New York City's health bucks program on electronic benefit transfer spending at farmers markets, 2006-2009. Prev. Chronic Dis. 2013, 10:E163.
53. Miriovsky B.J., Shulman L.N., Abernethy A.P. Importance of health information technology, electronic health records, and continuously aggregating data to comparative effectiveness research and learning health care. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2012, 30(34):4243-4248. Dec 1 2012.
54. Hersh W.R., Weiner M.G., Embi P.J., et al. Caveats for the use of operational electronic health record data in comparative effectiveness research. Med. Care 2013, 51(8 Suppl 3):S30-S37. Aug.
55. Wu C.Y., Chang C.K., Robson D., et al. Evaluation of smoking status identification using electronic health records and open-text information in a large mental health case register. PLoS ONE 2013, 8(9):e74262.
56. Sadler R.C., Gilliland J.A., Arku G. An application of the edge effect in measuring accessibility to multiple food retailer types in southwestern Ontario, Canada. Int. J. Health Geograph. 2011, 10:34.
57. J. Plascak, Technical feasibility of establishing a proactive cancer surveillance system: Using the SPAS macro. North American Association of Central Cancer Registries Annual Meeting: NAACCR, 2011.
58. Foraker R., Kite B., Kelley M., et al. EHR-based visualization tool: adoption rates, satisfaction, and patient outcomes. EGEMS (Wash DC) 2015, 3(2).