Validity of Veterans Health Administration structured data to determine accurate smoking status

Sara E. Golden; Elizabeth R. Hooker; Sarah Shull; Matthew Howard; Kristina Crothers; Reid F. Thompson; Christopher G. Slatore

doi:10.1177/1460458219882259

Validity of Veterans Health Administration structured data to determine accurate smoking status

Sara E. Golden, Elizabeth R. Hooker, Sarah Shull, Matthew Howard, Kristina Crothers, Reid F. Thompson, Christopher G. Slatore

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

We compared smoking status from Veterans Health Administration (VHA) structured data with text in electronic health record (EHR) to assess validity. We manually abstracted the smoking status of 5,610 VHA patients. Only those with a smoking status found in both EHR text data and VHA structured data were included (n=5,289). We calculated agreement and kappa statistics to compare structured data vs. manually abstracted EHR text smoking status. We found a kappa statistic of 0.70 and total agreement of 81.1% between EHR text data and structured data for Current, Former, and Never smoking categories. Comparing EHR text data and structured data between Never and Ever smokers revealed a kappa statistic of 0.62 and total agreement of 89.1%. For comparison between Current and Never/Former smokers, the kappa statistic was 0.80 and total agreement was 90.2%. We found substantial and significant agreement between smoking status in EHR text data and structured data that may aid in future research.

Original language	English (US)
Pages (from-to)	1507-1515
Number of pages	9
Journal	Health Informatics Journal
Volume	26
Issue number	3
DOIs	https://doi.org/10.1177/1460458219882259
State	Published - Sep 1 2020

Keywords

informatics
public health
smoking/harm reduction

ASJC Scopus subject areas

Health Informatics

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10.1177/1460458219882259

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title = "Validity of Veterans Health Administration structured data to determine accurate smoking status",

abstract = "We compared smoking status from Veterans Health Administration (VHA) structured data with text in electronic health record (EHR) to assess validity. We manually abstracted the smoking status of 5,610 VHA patients. Only those with a smoking status found in both EHR text data and VHA structured data were included (n=5,289). We calculated agreement and kappa statistics to compare structured data vs. manually abstracted EHR text smoking status. We found a kappa statistic of 0.70 and total agreement of 81.1% between EHR text data and structured data for Current, Former, and Never smoking categories. Comparing EHR text data and structured data between Never and Ever smokers revealed a kappa statistic of 0.62 and total agreement of 89.1%. For comparison between Current and Never/Former smokers, the kappa statistic was 0.80 and total agreement was 90.2%. We found substantial and significant agreement between smoking status in EHR text data and structured data that may aid in future research.",

keywords = "informatics, public health, smoking/harm reduction",

author = "Golden, {Sara E.} and Hooker, {Elizabeth R.} and Sarah Shull and Matthew Howard and Kristina Crothers and Thompson, {Reid F.} and Slatore, {Christopher G.}",

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AU - Golden, Sara E.

AU - Hooker, Elizabeth R.

AU - Shull, Sarah

AU - Howard, Matthew

AU - Crothers, Kristina

AU - Thompson, Reid F.

AU - Slatore, Christopher G.

N1 - Publisher Copyright: © The Author(s) 2019.

PY - 2020/9/1

Y1 - 2020/9/1

N2 - We compared smoking status from Veterans Health Administration (VHA) structured data with text in electronic health record (EHR) to assess validity. We manually abstracted the smoking status of 5,610 VHA patients. Only those with a smoking status found in both EHR text data and VHA structured data were included (n=5,289). We calculated agreement and kappa statistics to compare structured data vs. manually abstracted EHR text smoking status. We found a kappa statistic of 0.70 and total agreement of 81.1% between EHR text data and structured data for Current, Former, and Never smoking categories. Comparing EHR text data and structured data between Never and Ever smokers revealed a kappa statistic of 0.62 and total agreement of 89.1%. For comparison between Current and Never/Former smokers, the kappa statistic was 0.80 and total agreement was 90.2%. We found substantial and significant agreement between smoking status in EHR text data and structured data that may aid in future research.

AB - We compared smoking status from Veterans Health Administration (VHA) structured data with text in electronic health record (EHR) to assess validity. We manually abstracted the smoking status of 5,610 VHA patients. Only those with a smoking status found in both EHR text data and VHA structured data were included (n=5,289). We calculated agreement and kappa statistics to compare structured data vs. manually abstracted EHR text smoking status. We found a kappa statistic of 0.70 and total agreement of 81.1% between EHR text data and structured data for Current, Former, and Never smoking categories. Comparing EHR text data and structured data between Never and Ever smokers revealed a kappa statistic of 0.62 and total agreement of 89.1%. For comparison between Current and Never/Former smokers, the kappa statistic was 0.80 and total agreement was 90.2%. We found substantial and significant agreement between smoking status in EHR text data and structured data that may aid in future research.

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Validity of Veterans Health Administration structured data to determine accurate smoking status

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