Introduction
Knowing patients’ smoking history helps guide who may benefit from preventive services
such as lung cancer screening. The accuracy of smoking history electronic health records
remains unclear.
Methods
This was a secondary analysis of data collected from a portal-based lung cancer screening
decision aid. Participants of an academically affiliated health system, aged 55–76
years, completed an online survey that collected a detailed smoking history including
years of smoking, years since quitting, and smoking intensity. Eligibility for lung
cancer screening was defined using the Centers for Medicare and Medicaid Services
criteria. Data analysis was performed May–December 2018, and data collection occurred
between November 2016 and February 2017.
Results
A total of 336 participants completed the survey and were included in the analysis.
Of 175 participants with self-reported smoking intensity, 72% had packs per day and
62% had pack-years recorded in the electronic health record. When present, smoking
history in the electronic health records correlated well with self-reported years
of smoking (r =0.78, p≤0.0001) and years since quitting (r =0.94, p≤0.0001). Self-reported smoking intensity, including pack-years (r =0.62, p<0.0001) and packs per day (r =0.65, p≤0.0001), was less correlated. Of those participants eligible for lung cancer screening
by self-report, only 35% met criteria for screening by electronic health records data
alone. Others were either incorrectly classified as ineligible (23%) or had incomplete
data (41%).
Conclusions
The electronic health records frequently misses critical elements of a smoking history,
and when present, it often underestimates smoking intensity, which may impact who
receives lung cancer screening.
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REFERENCES
- Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015.Lancet. 2017; 389: 1885-1906https://doi.org/10.1016/S0140-6736(17)30819-X
- Systemic effects of smoking.Chest. 2007; 131: 1557-1566
- The problem of tobacco smoking.BMJ. 2004; 328: 217-219
- 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.J Am Coll Cardiol. 2014; 63: 2889-2934https://doi.org/10.1016/j.jacc.2013.11.002
- Update on prevention of cardiovascular disease in adults with type 2 diabetes mellitus in light of recent evidence: a scientific statement from the American Heart Association and the American Diabetes Association.Diabetes Care. 2015; 38: 1777-1803
- Adult immunizations: update on recommendations.Am J Med. 2011; 124: 698-701https://doi.org/10.1016/j.amjmed.2010.07.032
- American Cancer Society lung cancer screening guidelines.CA Cancer J Clin. 2013; 63: 107-117
- Screening for abdominal aortic aneurysm: recommendation statement.Ann Intern Med. 2005; 142: 198-202
- Evidence suggests that the ACA's tobacco surcharges reduced insurance take-up and did not increase smoking cessation.Health Aff (Millwood). 2016; 35: 1176-1183
- Validation of Veterans Affairs electronic medical record smoking data among Iraq- and Afghanistan-era veterans.J Gen Intern Med. 2017; 32: 1228-1234
- Validating smoking data from the Veteran's Affairs Health Factors dataset, an electronic data source.Nicotine Tob Res. 2011; 13: 1233-1239
- The accuracy and trends of smoking history documentation in electronic medical records in a large managed care organization.Subst Use Misuse. 2013; 48: 731-742
- Pack-year cigarette smoking history for determination of lung cancer screening eligibility. comparison of the electronic medical record versus a shared decision-making conversation.Ann Am Thorac Soc. 2017; 14: 1320-1325
- The reach and feasibility of an interactive lung cancer screening decision aid delivered by patient portal.Appl Clin Inform. 2019; 10: 19-27
- Lung cancer screening benefits and harms stratified by patient risk: information to improve patient decision aids.Ann Am Thorac Soc. 2019; 16: 512-514
- Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement.Ann Intern Med. 2014; 160: 330-338
- The impact of fluctuations in pack-year smoking history in the electronic health record on lung cancer screening practices.Chest. 2018; 153: 575-578
- Reliability of adult self-reported smoking history: data from the Tobacco Use Supplement to the Current Population survey 2002–2003 cohort.Nicotine Tob Res. 2012; 14: 952-960
- Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.BMC Med Inform Decis Mak. 2019; 19: 143
Article Info
Publication History
Published online: January 22, 2020
Identification
Copyright
© 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.