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Validation of Veterans Affairs Electronic Medical Record Smoking Data Among Iraq- and Afghanistan-Era Veterans.

Calhoun PS, Wilson SM, Hertzberg JS, Kirby AC, McDonald SD, Dennis PA, Bastian LA, Dedert EA, VA Mid-Atlantic MIRECC Workgroup , Beckham JC. Validation of Veterans Affairs Electronic Medical Record Smoking Data Among Iraq- and Afghanistan-Era Veterans. Journal of general internal medicine. 2017 Nov 1; 32(11):1228-1234.

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Abstract:

BACKGROUND: Research using the Veterans Health Administration (VA) electronic medical records (EMR) has been limited by a lack of reliable smoking data. OBJECTIVE: To evaluate the validity of using VA EMR "Health Factors" data to determine smoking status among veterans with recent military service. DESIGN: Sensitivity, 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. PARTICIPANTS: Veterans (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 RESULTS: Concordance with PDMH smoking status (current, former, never) was highest when determined by the most commonly observed VA EMR health factor (   =  0.69) and was not significantly impacted by psychiatric status. Agreement was higher when smoking status was dichotomized: current vs. not current (   =  0.73; sensitivity  =  0.84; specificity  =  0.91; AUC  =  0.87); ever vs. never (   =  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. CONCLUSIONS: The 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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