Name
Title | ||
|---|---|---|
Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity. |
Abstract | ||
|---|---|---|
We combined patient-level clinical data derived from the Electronic Health Record (EHR) with area-level environmental and socioeconomic data to study factors independently associated with overweight and obesity. Our multinomial logistic regression model showed that area-level factors such as farmers' markets, grocery stores and percent college-educated at the zip code level were significantly associated with the outcomes. However, mismatch in the granularity of community and clinical data limited us in creating a discriminatory model. While these results are promising, they reveal challenges that must be overcome in order to maximize secondary use of EHR data to further explore population health status. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3233/978-1-61499-289-9-1100 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Electronic Health Record,Public Health,Obesity,Secondary Use | Diabetes mellitus,Population,Alternative medicine,Overweight,Obesity,Environmental health,Medicine | Conference |
Volume | ISSN | Citations |
192 | 0926-9630 | 1 |
PageRank | References | Authors |
0.48 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Caryn Roth | 1 | 15 | 2.84 |
| Chaitanya P Shivade | 2 | 82 | 5.89 |
| Randi E Foraker | 3 | 18 | 3.26 |
| Peter J Embi | 4 | 215 | 30.87 |