ArticleBMC medical research methodology2018
Validating the use of veterans affairs tobacco health factors for assessing change in smoking status: accuracy, availability, and approach.
Article in BMC medical research methodology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05297513 (Efficacy of ActiveMatrix on Spinal Surgical Site Infection), which is not on this map. Cited by 31 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.
Efficacy of ActiveMatrix on Spinal Surgical Site Infection (SSI) Reduction: A Single-blinded Randomized Controlled Trial
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis.BMC medical informatics and decision making · 2024Pooled it
- Disparities in α1-Antitrypsin Deficiency Testing and Treatment in US Adults.JAMA network open · 2026Observational
- Impact of posttraumatic stress disorder on incident cardiovascular outcomes in women veterans: a retrospective longitudinal study.EClinicalMedicine · 2026Article
- Performance of the Predicting Risk of Cardiovascular Disease Events Calculator in Rheumatoid Arthritis.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Association Between Monoclonal Gammopathy of Undetermined Significance and Cardiovascular Disease Risk: A Veterans Health Administration Study.Journal of the American Heart Association · 2026Observational
- Article
- Missed opportunities for tobacco dependence treatment among U.S. veterans referred for lung Cancer screening: An observational cohort study.Preventive medicine reports · 2025Article
- Risk and temporal trends of heart failure subtypes in rheumatoid arthritis.Seminars in arthritis and rheumatism · 2025Article
- Geographic Disparities by Rural-Urban Status and Drive Time to Care in Tobacco Treatment for COPD.JAMA network open · 2025Article
- Characterizing Tobacco Use Status among a National Cohort of Patients with Chronic Obstructive Pulmonary Disease.Annals of the American Thoracic Society · 2025Article
- National rollout of a medication safety dashboard to improve testing for latent infections among biologic and targeted synthetic disease-modifying agent users within the Veterans Health Administration.Health services research · 2025Article
- Evaluating the representativeness of a cohort study of low back pain: Using electronic health record data to make direct comparisons of study participants with non-participants from the study population.The journal of pain · 2025Observational
- Insomnia and risk of mortality in older adults.Journal of sleep research · 2024Article
- Posttraumatic Stress Disorder Is Associated With Elevated Risk of Incident Stroke and Transient Ischemic Attack in Women Veterans.Journal of the American Heart Association · 2024Article
- Extracting forced vital capacity from the electronic health record through natural language processing in rheumatoid arthritis-associated interstitial lung disease.Pharmacoepidemiology and drug safety · 2024Article
- A Narrowing Mortality Gap: Temporal Trends of Cause-Specific Mortality in a National Matched Cohort Study in US Veterans With Rheumatoid Arthritis.Arthritis care & research · 2023Article
- Aortic Stenosis Risk in Rheumatoid Arthritis.JAMA internal medicine · 2023Article
- Epidemiology of Sarcoidosis in U.S. Veterans from 2003 to 2019.Annals of the American Thoracic Society · 2023Article
- Missed Opportunities for Screening or Surveillance Among Patients with Newly Diagnosed Non-cardia Gastric Adenocarcinoma.Digestive diseases and sciences · 2023Article
- Prescription Patterns of Cardiovascular- and Kidney-Protective Therapies Among Patients With Type 2 Diabetes and Chronic Kidney Disease.Diabetes care · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate smoking status is key for research purposes, but can be costly and difficult to measure. Within the Veteran's Health Administration (VA), smoking status is recorded as part of routine care as "health factors" (HF)-fields that researchers can query through the electronic health record (EHR). Many researchers are interested in using these fields to track changes in smoking status over time, however the validity of this measure for assessing change is unknown. The primary goal of this project was to examine whether HFs can be used to accurately measure change in tobacco status over time, with secondary goals of assessing the optimum timeframe for assessment and variation in accuracy by site.
methodsSecondary analysis of the Veterans VICTORY study, a pragmatic smoking cessation randomized controlled trial conducted from 2009 to 2011. Eligible subjects were identified via the EHR using a past 90-day HF indicating current tobacco use (for example: "CURRENT SMOKER", "CURRENTLY USES TOBACCO"). Participants were surveyed at 1 year to determine prolonged smoking abstinence. We identified HFs for tobacco status within +/- 120 days of the follow-up survey mailing date and recorded the temporally closest HF. Among subjects with both measures, we compared the two for agreement using kappa statistics and concordance.
results1713 subjects (33%) had both follow-up survey and HF data, 1594 (31%) had only a survey response, 790 (15%) had only HF and 1026 (20%) had neither. For subjects with both measures, there was 90% concordance and moderate agreement (Kappa 0.48, 95%CI 0.41-0.55, Sensitivity 54.4, 95%CI 41.1-67.7, Specificity 94.3, 95%CI 87.5-100.0).
conclusionsWe found high concordance but only moderate agreement by kappa statistics between HFs and survey data. The difference is likely accounted for by the natural history of quit attempts, in which patients cycle in and out of quit attempts. HFs appear to provide an accurate measure of population level quit behavior utilizing data collected in the course of clinical care.
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