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Research ArticleOriginal Research

Smoking As a Vital Sign: Prompts to Ask and Assess Increase Cessation Counseling

Anna McCullough, Michael Fisher, Adam O. Goldstein, Kathryn D. Kramer and Carol Ripley-Moffitt
The Journal of the American Board of Family Medicine November 2009, 22 (6) 625-632; DOI: https://doi.org/10.3122/jabfm.2009.06.080211
Anna McCullough
MSW, MSPH
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Michael Fisher
MD, MPH
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Adam O. Goldstein
MD, MPH
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Kathryn D. Kramer
PhD
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Carol Ripley-Moffitt
MDiv, CCPHC
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  • Article
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    Proportion of medical records with tobacco status documented. *Differences between periods before and after intervention significant at P < .001. †Differences between periods before and after intervention significant at P < .05.

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    Figure 2.

    Documented counseling by time period and assessment for plan to quit. *Differences between groups significant at P < .001.

Tables

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    Table 1.

    Sample Demographics by Study Period

    CharacteristicsNovember 2006 (n = 299)April 2007 (n = 300)November 2007 (n = 300)All(n = 899)
    Sex
        Female76.374.770.073.6
    Age (years)*
        18–3526.425.316.722.8
        36–6455.556.365.359.1
        65–8918.118.318.018.1
    Race
        Black29.434.030.331.3
        White60.254.758.357.7
        Other†10.411.311.311.0
    Type of insurance
        Medicaid8.07.18.77.9
        Medicare24.428.326.026.2
        Private/third party42.536.440.739.8
        None/self-pay25.128.324.726.0
    Type of visit
        Preventive/well12.78.314.711.9
        Problem-focused87.391.785.388.1
    Type of clinician‡
        Attending49.553.073.058.5
        Resident50.547.027.041.5
    Presence of chronic illness
        No illness49.243.340.744.4
        At least one illness50.856.759.355.6
    • All data provided as %.

    • * Differences between 3 data collection periods significant at P < .05.

    • † “Other” includes all patients whose race was recorded on EMR as American Indian, Asian, Hispanic, or Other.

    • ‡ Differences between 3 data collection periods significant at P < .001.

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    Table 2.

    Patient Demographics by Smoking Status

    CharacteristicsCurrent Smokers (n = 159)Nonsmokers (n = 556)Smoking Data Missing (n = 184)
    Sex*
        Female71.171.083.7
    Age (years)†
        18–3514.522.132.1
        36–6475.555.655.4
        65–8910.022.312.5
    Race/ethnicity*‡
        Black37.129.531.5
        White59.758.653.3
        Other3.211.915.2
    Type of insurance†
        Medicaid13.26.09.2
        Medicare26.428.020.8
        Private/third party20.144.842.1
        None/self-pay40.321.227.9
    Type of visit†
        Preventive/well4.415.57.6
        Problem-focused95.684.592.4
    Type of clinician†
        Attending47.263.353.8
        Resident52.836.746.2
    Presence of chronic illness†
        No illness31.444.256.0
        At least one illness68.655.844.0
    • All data provided as %.

    • * Differences between groups significant at P < .05.

    • † Differences between groups significant at P < .001.

    • ‡ “Other” includes all patients whose race was recorded on electronic medical record as American Indian, Asian, Hispanic, or other.

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The Journal of the American Board of Family Medicine: 22 (6)
The Journal of the American Board of Family Medicine
Vol. 22, Issue 6
November-December 2009
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Smoking As a Vital Sign: Prompts to Ask and Assess Increase Cessation Counseling
Anna McCullough, Michael Fisher, Adam O. Goldstein, Kathryn D. Kramer, Carol Ripley-Moffitt
The Journal of the American Board of Family Medicine Nov 2009, 22 (6) 625-632; DOI: 10.3122/jabfm.2009.06.080211

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Smoking As a Vital Sign: Prompts to Ask and Assess Increase Cessation Counseling
Anna McCullough, Michael Fisher, Adam O. Goldstein, Kathryn D. Kramer, Carol Ripley-Moffitt
The Journal of the American Board of Family Medicine Nov 2009, 22 (6) 625-632; DOI: 10.3122/jabfm.2009.06.080211
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