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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 105-118 |
| Number of pages | 14 |
| Journal | Journal of Economic and Social Measurement |
| Volume | 43 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - Jan 1 2018 |
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Keywords
- Census
- electronic medical record
- linking data
- social determinants of health
- systematic review
ASJC Scopus subject areas
- Social Sciences(all)
Cite this
Linking census data with electronic medical records for clinical research : A systematic review. / Tamariz, Leonardo; Medina, Heidy; Suarez, Maritza; Seo, David M; Palacio, Ana M.
In: Journal of Economic and Social Measurement, Vol. 43, No. 1-2, 01.01.2018, p. 105-118.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - Linking census data with electronic medical records for clinical research
T2 - A systematic review
AU - Tamariz, Leonardo
AU - Medina, Heidy
AU - Suarez, Maritza
AU - Seo, David M
AU - Palacio, Ana M
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Census
KW - electronic medical record
KW - linking data
KW - social determinants of health
KW - systematic review
UR - http://www.scopus.com/inward/record.url?scp=85051320352&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051320352&partnerID=8YFLogxK
U2 - 10.3233/JEM-180454
DO - 10.3233/JEM-180454
M3 - Review article
AN - SCOPUS:85051320352
VL - 43
SP - 105
EP - 118
JO - Journal of Economic and Social Measurement
JF - Journal of Economic and Social Measurement
SN - 0747-9662
IS - 1-2
ER -