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Article type: Research Article
Authors: Tamariz, Leonardoa; b; * | Medina, Heidya | Suarez, Maritzac | Seo, Davida; d | Palacio, Anaa; b
Affiliations: [a] Division of Population Health and Computational Medicine , Miller School of Medicine at the University of Miami, Miami, FL, USA | [b] GRECC, Veterans Affairs Medical Center, Miami, FL, USA | [c] Division of General Medicine, Department of Medicine, University of Miami Leonard Miller School of Medicine, Miami, FL, USA | [d] Division of Cardiology, Department of Medicine, University of Miami Leonard Miller School of Medicine, Miami, FL, USA
Correspondence: [*] Corresponding author: Leonardo Tamariz, University of Miami , 1120 NW 14
Abstract: This paper considers the evidence documenting the linkage of EMRs and census when conducting clinical research. Our systematic review included 25 studies. They collected information on an average of 434,541 study participants and 72% of the studies focused on adult populations. The findings include that the most common diseases evaluated were obesity, cancer, and diabetes. The most commonly used census variables were location, income, and education. Twelve of the studies linked only the census and the EMR, while 13 studies linked the census, EMR, and additional research resources. This linkage was most prevalently used to describe a problem rather than for quality improvement purposes. Efforts should be channeled to increase the use of the census for health disparities and social determinants of health.
Keywords: Census, electronic medical record, social determinants of health, linking data, systematic review
DOI: 10.3233/JEM-180454
Journal: Journal of Economic and Social Measurement, vol. 43, no. 1-2, pp. 105-118, 2018
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