Evidence map›Paper›PMID 28823688›Full record

ArticlePreventive medicine2017

Do you vape? Leveraging electronic health records to assess clinician documentation of electronic nicotine delivery system use among adolescents and adults.

Kelly C Young-Wolff, Daniella Klebaner, Bruce Folck, Lisa Carter-Harris, Ramzi G Salloum, Judith J Prochaska, Renee Fogelberg, Andy S L Tan

Abstract read
In one paragraph

Article in Preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Machine learning used to study risk factors for chronic diseases: A scoping review.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. E-Cigarette Screening in Primary Care.American journal of preventive medicine · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Not Quite the Rule, But No Longer the Exception: Multiple Tobacco Product Use and Implications for Treatment, Research, and Regulation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  15. Improved Documentation of Electronic Cigarette Use in an Electronic Health Record.International journal of environmental research and public health · 2020
    Article
  16. Tobacco-Related Counseling and Documentation in Adolescent Primary Care Practice: Challenges and Opportunities.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kelly C Young-WolffDivision of Research, Kaiser Permanente Northern California, USA. Electronic address: kelly.c.young-wolff@kp.org.
Daniella KlebanerDivision of Research, Kaiser Permanente Northern California, USA.
Bruce FolckDivision of Research, Kaiser Permanente Northern California, USA.
Lisa Carter-HarrisIndiana University School of Nursing, Indianapolis, IN, USA.
Ramzi G SalloumDepartment of Health Outcomes and Policy, Institute for Child Health Policy, University of Florida College of Medicine, Gainesville, FL, USA.
Judith J ProchaskaStanford Prevention Research Center, Stanford University, Stanford, CA, USA.
Renee FogelbergRichmond Medical Center, Kaiser Permanente Northern California, Richmond, CA, USA.
Andy S L TanDivision of Population Sciences, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Social and Behavioral Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Technology Innovations for Supporting Health in Alaska Native PeopleR01HL117736 · NHLBI · STANFORD UNIVERSITY · PI BENOWITZ, NEAL L, PROCHASKA, JUDITH J. · 2014 to 2018
$3.8M
Social Media Technology for Treating Tobacco AddictionR01CA204356 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI PECHMANN, CORNELIA, PROCHASKA, JUDITH J. · 2016 to 2020
$2.6M
NCI NIH HHS R01 CA204356NHLBI NIH HHS R01 HL117736
6 · The paper itself

Abstract

Use of electronic nicotine delivery systems (ENDS) has increased substantially over the past decade. However, unlike smoking, which is systematically captured by clinicians through routine screening and discrete documentation fields in the electronic health record (EHR), unknown is the extent to which clinicians are documenting patients' use of ENDS. Data were gathered from medical visits with patients aged 12 and older (N=9,119; 55% male) treated in a large, integrated healthcare system. We used natural language processing to assess the incidence rates of clinician documentation of patients' ENDS use in unstructured tobacco comments in the EHR, and the words most frequently documented in relation to ENDS, from 2006-2015. ENDS documentation in the EHR increased dramatically over time (from 0.01 to 9.5 per 10,000 patients, p<0.0001), particularly among adults aged 18-24 and 25-44. Most prevalent were "e-cig," "electronic cigarettes", and "vape," with much variation in spelling and phrasing of these words. Records of adolescent and young adult patients were more likely to contain the word "vape", and less likely to have "e-cig" and "electronic cigarette" than records of adults (ps<0.0001). The relatively low observed number of patients with ENDS terms in the EHR suggested vast under documentation. While healthcare providers are increasingly documenting patients' use of ENDS in the EHR, overall documentation rates remain low. Discrete EHR fields for standard screening and documentation of ENDS that reflect the language used by patients would provide more complete longitudinal population-level surveillance of ENDS use and its association with short- and long-term health outcomes.

Indexed as

DocumentationAdolescentAdultChildElectronic Health RecordsElectronic Nicotine Delivery SystemsHumansMaleNatural Language ProcessingVapingAdolescentsCliniciansE-cigarettesElectronic health recordElectronic nicotine delivery systemsIntegrated healthcareNatural language processingSemanticsVaping

Identifiers

PMID28823688
PMCPMC5796533

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.