Estimating Wisconsin Asthma Prevalence Using Clinical Electronic Health Records and Public Health Data

Tomasallo, Carrie D.; Hanrahan, Lawrence P.; Tandias, Aman; Chang, Timothy S.; Cowan, Kelly J.; Guilbert, Theresa W.

doi:10.2105/AJPH.2013.301396

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CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners. As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.

i

Estimating Wisconsin Asthma Prevalence Using Clinical Electronic Health Records and Public Health Data

1 2014
By Tomasallo, Carrie D. ; Hanrahan, Lawrence P. ; Tandias, Aman ; ...
http://dx.doi.org/10.2105/AJPH.2013.301396
Source: Am J Public Health. 104(1):e65-e73

[PDF-454.79 KB]

English

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Details:

Alternative Title:

Am J Public Health
Personal Author:

Tomasallo, Carrie D. ; Hanrahan, Lawrence P. ; Tandias, Aman ; Chang, Timothy S. ; Cowan, Kelly J. ; ... More +

Tomasallo, Carrie D. ; Hanrahan, Lawrence P. ; Tandias, Aman ; Chang, Timothy S. ; Cowan, Kelly J. ; Guilbert, Theresa W. Less -
Description:

Objectives

This study compares a statewide telephone health survey and EHR data from a large Wisconsin health system to estimate asthma prevalence in Wisconsin.

Methods

Frequency tables and logistic regression models were developed for children and adults using Wisconsin Behavioral Risk Factor Surveillance Survey (BRFSS) and University of Wisconsin primary care clinic data. Adjusted odds ratios (OR) from each model were compared.

Results

Between 2007 and 2009, the EHR database contained 376,000 patients (30,000 with asthma) compared to 23,000 (1,850 with asthma) responding to the BRFSS telephone survey. Adjusted ORs for asthma were similar in magnitude and direction for the majority of covariates, including gender, age, and race between survey and EHR models. The EHR data had greater statistical power to detect associations than survey data, especially in pediatric and ethnic populations, due to larger sample sizes.

Conclusions

EHRs can be used to estimate asthma prevalence in Wisconsin adults and children. EHR data may improve public health chronic disease surveillance using high quality data at the local level to better identify areas of disparity, risk factors, and guide education and healthcare interventions.
Keywords:

[+]

Adolescent Adult Asthma Child Cross-Sectional Studies Electronic Health Records Female Humans Male Population Surveillance Prevalence Public Health Risk Factors Telephone Wisconsin
Source:

Am J Public Health. 104(1):e65-e73
Pubmed ID:

24228643
Pubmed Central ID:

PMC3895403
Document Type:

Journal Article
Funding:

UL1 TR000427/TR/NCATS NIH HHSUnited States/ ; U58 CD001316/CD/ODCDC CDC HHSUnited States/ ; 5U90TP517002-10/TP/OPHPR CDC HHSUnited States/ ; T32 GM008692/GM/NIGMS NIH HHSUnited States/ ; UL1 RR025011/RR/NCRR NIH HHSUnited States/ ; ... More +

UL1 TR000427/TR/NCATS NIH HHSUnited States/ ; U58 CD001316/CD/ODCDC CDC HHSUnited States/ ; 5U90TP517002-10/TP/OPHPR CDC HHSUnited States/ ; T32 GM008692/GM/NIGMS NIH HHSUnited States/ ; UL1 RR025011/RR/NCRR NIH HHSUnited States/ ; U38 EH000951/EH/NCEH CDC HHSUnited States/ ; 5U38EH000951-02/EH/NCEH CDC HHSUnited States/ ; U90 TP517002/TP/OPHPR CDC HHSUnited States/ ; 5U58CD001316-03/CD/ODCDC CDC HHSUnited States/ ; F30 HL112491/HL/NHLBI NIH HHSUnited States/ Less -
Volume:

104
Issue:

1
Collection(s):

CDC Public Access
Main Document Checksum:

[+]

urn:sha256:0aaca19431c9e442c5df970784848dc0bf5660b91bc7375c3a4bb6f21507b42d
Download URL:

https://stacks.cdc.gov/view/cdc/29832/cdc_29832_DS1.pdf
File Type:

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