ArticleJournal of general internal medicine2017
Validation of Veterans Affairs Electronic Medical Record Smoking Data Among Iraq- and Afghanistan-Era Veterans.
Article in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01723163 (Abstinence Reinforcement Therapy), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Abstinence Reinforcement Therapy (ART) for Rural Veteran Smokers
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis.BMC medical informatics and decision making · 2024Pooled it
- Sarcoidosis risk among U.S. Veterans exposed to inorganic dust during military service.Annals of the American Thoracic Society · 2026Article
- Article
- Epidemiology of Sarcoidosis in U.S. Veterans from 2003 to 2019.Annals of the American Thoracic Society · 2023Article
- Assessing Smoking Status and Risk of SARS-CoV-2 Infection: A Machine Learning Approach among Veterans.Healthcare (Basel, Switzerland) · 2022Article
- Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records.JAMIA open · 2022Article
- Receipt of Tobacco Treatment and One-Year Smoking Cessation Rates Following Lung Cancer Screening in the Veterans Health Administration.Journal of general internal medicine · 2022Observational
- Coronary Artery Disease Risk of Familial Hypercholesterolemia Genetic Variants Independent of Clinically Observed Longitudinal Cholesterol Exposure.Circulation. Genomic and precision medicine · 2022Article
- Smoking Status and Factors associated with COVID-19 In-Hospital Mortality among US Veterans.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Observational
- Rates of decompensation, hepatocellular carcinoma and mortality in AMA-negative primary biliary cholangitis cirrhosis.Liver international : official journal of the International Association for the Study of the Liver · 2022Article
- Ursodeoxycholic Acid Response Is Associated With Reduced Mortality in Primary Biliary Cholangitis With Compensated Cirrhosis.The American journal of gastroenterology · 2021Article
- Brief original report: Does smoking status provide information relevant to screening for other substance use among US adults?Preventive medicine reports · 2021Article
- Inorganic Dust Exposure During Military Service as a Predictor of Rheumatoid Arthritis and Other Autoimmune Conditions.ACR open rheumatology · 2021Article
- Tobacco smoking and death from prostate cancer in US veterans.Prostate cancer and prostatic diseases · 2020Article
- A Comparison of Smoking History in the Electronic Health Record With Self-Report.American journal of preventive medicine · 2020Article
- Increased Risk of Ischemic Stroke in Systemic Sclerosis: A National Cohort Study of US Veterans.The Journal of rheumatology · 2020Article
- Hypoxia-related risk factors for death by suicide in a national clinical sample.Psychiatry research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundResearch using the Veterans Health Administration (VA) electronic medical records (EMR) has been limited by a lack of reliable smoking data.
objectiveTo evaluate the validity of using VA EMR "Health Factors" data to determine smoking status among veterans with recent military service.
designSensitivity, specificity, area under the receiver-operating curve (AUC), and kappa statistics were used to evaluate concordance between VA EMR smoking status and criterion smoking status.
participantsVeterans (N = 2025) with service during the wars in Iraq/Afghanistan who participated in the VA Mid-Atlantic Post-Deployment Mental Health (PDMH) Study. MAIN MEASURES: Criterion smoking status was based on self-report during a confidential study visit. VA EMR smoking status was measured by coding health factors data entries (populated during automated clinical reminders) in three ways: based on the most common health factor, the most recent health factor, and the health factor within 12 months of the criterion smoking status data collection date. KEY
resultsConcordance with PDMH smoking status (current, former, never) was highest when determined by the most commonly observed VA EMR health factor (κ = 0.69) and was not significantly impacted by psychiatric status. Agreement was higher when smoking status was dichotomized: current vs. not current (κ = 0.73; sensitivity = 0.84; specificity = 0.91; AUC = 0.87); ever vs. never (κ = 0.75; sensitivity = 0.85; specificity = 0.90; AUC = 0.87). There were substantial missing Health Factors data when restricting analyses to a 12-month period from the criterion smoking status date. Current smokers had significantly more Health Factors entries compared to never or former smokers.
conclusionsThe use of computerized tobacco screening data to determine smoking status is valid and feasible. Results indicating that smokers have significantly more health factors entries than non-smokers suggest that caution is warranted when using the EMR to select cases for cohort studies as the risk for selection bias appears high.
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