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Research ArticleOriginal Research

Integrating a Systematic, Comprehensive E-Cigarette and Vaping Assessment Tool into the Electronic Health Record

Niharika Khanna, Elena Klyushnenkova, Adam Gaynor, Michael Dark, Julia Melamed, Melanie Bennett and Janaki Deepak
The Journal of the American Board of Family Medicine May 2023, 36 (3) 405-413; DOI: https://doi.org/10.3122/jabfm.2022.220410R1
Niharika Khanna
From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
MD
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Elena Klyushnenkova
From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
PhD
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Adam Gaynor
From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
MPH, CHES
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Michael Dark
From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
DrPH
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Julia Melamed
From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
RN, BSN
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Melanie Bennett
From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
PhD
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Janaki Deepak
From the Department of Family and Community Medicine, University of Maryland, Baltimore, (NK, EK, AG, MD); Department of Internal Medicine, Department of Pulmonology and Critical Care, University of Maryland, Baltimore (JM, JD); Department of Psychiatry, University of Maryland, Baltimore (MB)
MD
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    Vaping assessment tool utilization in UMMS practices (July 2020 – December 2022).

Tables

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    Table 1.

    EVAT Utilization by Hospital and Ambulatory Sites at UMMS (July 2020 – December 2022)

    Number of reporting sitesNumber of assessments performedNumber of patients screened
    Primary Care64352,843114,934
    Family Medicinea47291,00493,576
    Internal Medicine1761,83921,358
    Emergency medicine30132,39575,255
    Emergency Department16130,62774,039
    Shock Trauma Center141,7681,216
    Pediatrics9515,4067,179
    General Pediatrics95,6452,805
    Pediatric Specialties789,2054,061
    Pediatric Surgery8556313
    Surgical specialtiesb188131,56753,042
    Women’s health6073,71631,027
    Obstetrics & Gynecology4263,25324,639
    Maternal & Fetal Medicine1810,4636,388
    Oncology5447,53013,183
    Medical Oncology3436,3069,809
    Radiation Oncology69,2472,699
    Surgical Oncology141,977675
    Other medical specialties572234,72481,939
    Cardiology5645,14515,802
    Gastroenterology2630,65610,365
    Endocrinology1626,4926,991
    Neurology4015,8455,327
    Pulmonology1915,0374,840
    Otolaryngology1312,5574,674
    Radiology/Imagingc7110,4973,815
    Behavior396,3882,670
    Other specialties29272,10727,455
    Total1063988,181376,559
    • ↵a Family Medicine includes geriatric facilities.

    • ↵b Surgical specialties include all subspecialties except surgical oncology and pediatric surgery.

    • ↵c Radiology/Imaging includes Radiograph, mammogram, magnetic resonance imaging, computerized tomography, and other radiology procedures except radiation oncology.

    • Abbreviations: EVAT, e-cigarette/vaping assessment tool; UMMS, University of Maryland Medical System.

    • View popup
    Table 2.

    Demographic Characteristics of UMMS Patients Evaluated for e-Cigarette Use/Vaping in July 2020-December 2022

    All Evaluatede-Cigarettes/Vaping Status
    CurrentFormerNeverP value
    N (Column %)n (Row %)n (Row %)n (Row %)
    Total376,559100%16,2434.3%7,1651.9%353,15193.8%
    Age, years
    10 to 1721,7215.8%4992.3%1740.8%21,04896.9%<0.0001
    18 to 2428,8537.7%3,97713.8%1,2384.3%23,63881.9%
    25 to 3453,61914.2%4,3438.1%1,6753.1%47,60188.8%
    35 to 4452,09213.8%3,0755.9%1,2712.4%47,74691.7%
    45 to 5452,25013.9%1,8993.6%9101.7%49,44194.6%
    55 to 6466,57417.7%1,5612.3%1,0181.5%63,99596.1%
    65 to 7456,12814.9%7161.3%6261.1%54,78697.6%
    75+45,32212.0%1730.4%2530.6%44,89699.1%
    Sex
    Male154,97841.2%7,8535.1%3,4002.2%143,72592.7%<0.0001
    Female221,58158.8%8,3903.8%3,7651.7%209,42694.5%
    Race
    AI/AN1,0410.3%565.4%272.6%95892.0%<0.0001
    Asian8,3852.2%1922.3%1021.2%8,09196.5%
    Black107,38728.5%3,1282.9%1,5441.4%102,71595.6%
    NH/PI4030.1%215.2%123.0%37091.8%
    White227,80860.5%11,8245.2%5,0442.2%210,94092.6%
    Two or more3620.1%308.3%51.4%32790.3%
    Other21,0865.6%6513.1%2751.3%20,16095.6%
    Declined2,2300.6%542.4%381.7%2,13895.9%
    Unknown/missing7,8572.1%2873.7%1181.5%7,45294.8%
    Hispanic origin
    Yes18,3534.9%5893.2%2641.4%17,50095.4%<0.0001
    No341,55090.7%14,9844.4%6,5911.9%319,97593.7%
    Declined4,0381.1%1293.2%651.6%3,84495.2%
    Unknown12,6183.4%5414.3%2451.9%11,83293.8%
    Tobacco status
    Heavy Smoker6780.2%558.1%243.5%59988.3%<0.0001
    Current Every Day37,91910.1%4,32511.4%1,5634.1%32,03184.5%
    Light smokers10,7762.9%1,51014.0%3503.2%8,91682.7%
    Former smokers89,31523.7%5,4156.1%3,5304.0%80,37090.0%
    Never smoker2,0910.6%733.5%221.1%1,99695.5%
    Passive smoker234,45162.3%4,6752.0%1,6550.7%228,12197.3%
    Unknown1,3290.4%19014.3%211.6%1,11884.1%
    • Note: For patients evaluated multiple times, the results of the latest evaluation are shown. Current every day smokers were combined with those who smoked but their current status is unknown; Light smoker were combined with those who reported smoking some days. Abbreviations: AI/AN = American Indian and Alaska Native; NH/PI = Native Hawaiian and Other Pacific Islander; UMMS = University of Mariland Medical System.

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The Journal of the American Board of Family     Medicine: 36 (3)
The Journal of the American Board of Family Medicine
Vol. 36, Issue 3
May-June 2023
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Integrating a Systematic, Comprehensive E-Cigarette and Vaping Assessment Tool into the Electronic Health Record
Niharika Khanna, Elena Klyushnenkova, Adam Gaynor, Michael Dark, Julia Melamed, Melanie Bennett, Janaki Deepak
The Journal of the American Board of Family Medicine May 2023, 36 (3) 405-413; DOI: 10.3122/jabfm.2022.220410R1

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Integrating a Systematic, Comprehensive E-Cigarette and Vaping Assessment Tool into the Electronic Health Record
Niharika Khanna, Elena Klyushnenkova, Adam Gaynor, Michael Dark, Julia Melamed, Melanie Bennett, Janaki Deepak
The Journal of the American Board of Family Medicine May 2023, 36 (3) 405-413; DOI: 10.3122/jabfm.2022.220410R1
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Keywords

  • Adolescent
  • Cannabinoids
  • e-Cigarette
  • Electronic Health Records
  • Lung Injury
  • Maryland
  • Nicotine
  • Vaping
  • Vulnerable Populations

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