Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity

Caryn Roth; Chaitanya P. Shivade; Randi E. Foraker; Peter J. Embi

doi:10.3233/978-1-61499-289-9-1100

Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity

Caryn Roth, Chaitanya P. Shivade, Randi E. Foraker, Peter J. Embi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

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.

Original language	English
Title of host publication	MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
Publisher	IOS Press
Pages	1100
Number of pages	1
Edition	1-2
ISBN (Print)	9781614992882
DOIs	https://doi.org/10.3233/978-1-61499-289-9-1100
State	Published - 2013
Event	14th World Congress on Medical and Health Informatics, MEDINFO 2013 - Copenhagen, Denmark Duration: Aug 20 2013 → Aug 23 2013

Publication series

Name	Studies in Health Technology and Informatics
Number	1-2
Volume	192
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	14th World Congress on Medical and Health Informatics, MEDINFO 2013
Country/Territory	Denmark
City	Copenhagen
Period	08/20/13 → 08/23/13

Keywords

Electronic Health Record
Obesity
Public Health
Secondary Use

Access to Document

10.3233/978-1-61499-289-9-1100

Cite this

Roth, C., Shivade, C. P., Foraker, R. E., & Embi, P. J. (2013). Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity. In MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics (1-2 ed., pp. 1100). (Studies in Health Technology and Informatics; Vol. 192, No. 1-2). IOS Press. https://doi.org/10.3233/978-1-61499-289-9-1100

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Roth, C, Shivade, CP, Foraker, RE & Embi, PJ 2013, Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity. in MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics. 1-2 edn, Studies in Health Technology and Informatics, no. 1-2, vol. 192, IOS Press, pp. 1100, 14th World Congress on Medical and Health Informatics, MEDINFO 2013, Copenhagen, Denmark, 08/20/13. https://doi.org/10.3233/978-1-61499-289-9-1100

Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity. / Roth, Caryn; Shivade, Chaitanya P.; Foraker, Randi E. et al.
MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics. 1-2. ed. IOS Press, 2013. p. 1100 (Studies in Health Technology and Informatics; Vol. 192, No. 1-2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Roth C, Shivade CP, Foraker RE, Embi PJ. Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity. In MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics. 1-2 ed. IOS Press. 2013. p. 1100. (Studies in Health Technology and Informatics; 1-2). doi: 10.3233/978-1-61499-289-9-1100

Integrating population- and patient-level data for secondary use of electronic health records to study overweight and obesity

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