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Research ArticleOriginal Research

Deception for Drugs: Self-Reported “Doctor Shopping” Among Young Adults

John M. Stogner, Amber Sanders and Bryan Lee Miller
The Journal of the American Board of Family Medicine September 2014, 27 (5) 583-593; DOI: https://doi.org/10.3122/jabfm.2014.05.140107
John M. Stogner
From the Department of Criminal Justice and Criminology, University of North Carolina at Charlotte, Charlotte (JMS, AS); and the Department of Criminal Justice and Criminology, Georgia Southern University, Statesboro (BLM).
PhD
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Amber Sanders
From the Department of Criminal Justice and Criminology, University of North Carolina at Charlotte, Charlotte (JMS, AS); and the Department of Criminal Justice and Criminology, Georgia Southern University, Statesboro (BLM).
BS
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Bryan Lee Miller
From the Department of Criminal Justice and Criminology, University of North Carolina at Charlotte, Charlotte (JMS, AS); and the Department of Criminal Justice and Criminology, Georgia Southern University, Statesboro (BLM).
PhD
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    Figure 1.

    Predicted probability of physician deception across a range of pharmaceutical misuse.

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    Figure 2.

    Predicted probability of physician deception across a range of family incomes.

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    Table 1. Physician Deception Within Various Demographic Categories
    CharacteristicsPatients (n)Patients Who Ever Attempted to Deceive A PhysicianPatients Who Attempted to Deceive a Physician for a Drug to AbusePatients Who Attempted to Deceive a Physician for a Drug to Sell
    Sex
        Male11364.8 (55)*4.3 (49)*2.7 (31)*
        Female12103.1 (38)2.7 (33)1.4 (17)
    Race
        African American5573.8 (21)2.9 (16)*1.8 (10)*
        White15743.7 (59)*3.4 (53)*1.8 (28)*
        Other1547.8 (12)7.8 (12)5.9 (9)
    Age (years)
        17–1912143.9 (47)3.4 (41)1.7 (20)
        20–229514.1 (39)3.7 (35)2.5 (24)
        23–25953.2 (3)2.1 (2)2.1 (2)
        ≥26775.2 (4)5.2 (4)2.6 (2)
    Student athlete
        No22223.7 (83)*3.3 (73)*1.8 (41)*
        Yes1258.0 (10)7.2 (9)5.6 (7)
    Fraternity/sorority
        No19783.7 (74)3.3 (65)1.8 (35)*
        Yes3695.1 (19)4.6 (17)3.5 (13)*
    Sexual orientation
        Heterosexual22543.6 (81)*3.1 (70)*1.7 (39)*
        LGBT6414.1 (9)14.1 (9)10.9 (7)
    Employed
        No16463.3 (55)*2.9 (47)*1.5 (24)*
        Part time6224.8 (30)†4.3 (27)*2.7 (17)*
        Full time7910.1 (8)10.1 (8)8.9 (7)
    Family income
        <$10,000659.2 (6)9.2 (6)7.7 (5)
        $10,000-$24,9991354.4 (6)3.0 (4)2.2 (3)
        $25,000-$49,9993164.7 (15)4.7 (15)2.2 (7)
        $50,000-$74,9994411.8 (8)*1.6 (7)*0.7 (3)*
        $75,000-$99,9993743.2 (12)*2.4 (9)*2.1 (8)
        $100,000-$124,9993703.8 (14)*3.0 (11)*1.6 (6)
        $125,000-$149,9991923.1 (6)†3.1 (6)1.6 (3)
        $150,000-$174,9991253.2 (4)3.2 (4)1.6 (2)
        >$175,0002339.0 (21)8.2 (19)4.3 (10)
    Alcohol use
        No2871.0 (3)*0.7 (2)*1.0 (3)
        Yes20584.4 (90)3.9 (80)2.2 (45)
    Marijuana use
        No9800.8 (8)*0.7 (7)*0.4 (4)*
        Yes13616.2 (85)5.5 (75)3.2 (44)
    Pharmaceutical misuse
        No15601.2 (18)*0.9 (14)*0.6 (10)*
        Yes7809.5 (74)8.6 (67)4.7 (37)
    • Data are % (n). For each factor, the final attribute/group serves as the comparison group. Marital status and place of residence were not associated with any of the outcomes and therefore are not included. LGBT, lesbian, gay, bisexual, or transgender.

    • ↵* P < .05.

    • ↵† P < .10.

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    Table 2. Rare Events Logistic Regression Models Predicting Attempts to Deceive Physicians
    CharacteristicsAttempting to Deceive a Physician for Pharmaceuticals
    Any ReasonFor AbuseTo Sell
    b (SE)ORb (SE)ORb (SE)ORb (SE)ORb (SE)ORb (SE)OR
    Sex (1 = male)−0.04 (0.18)0.96−0.07 (0.19)0.93−0.08 (0.18)0.93−0.09 (0.19)0.91−0.17 (0.19)0.85−0.23 (0.17)0.80
    Race*
        African American0.19 (0.29)1.210.47 (0.30)1.600.00 (0.32)1.000.30 (0.34)1.350.30 (0.42)1.350.62 (0.43)1.85
        Other0.79† (0.36)2.190.75‡ (0.41)2.120.90† (0.37)2.470.88† (0.42)2.401.38† (0.44)3.991.24† (0.51)3.46
    Age−0.02 (0.03)0.98−0.03 (0.03)0.97−0.02 (0.04)0.98−0.03 (0.03)0.97−0.02 (0.05)0.98−0.05 (0.04)0.96
        Student athlete (1 = yes)0.66‡ (0.39)1.940.78† (0.39)2.180.65 (0.41)1.920.76‡ (0.41)2.150.91‡ (0.51)2.481.04† (0.48)2.83
        Fraternity/sorority (1 = yes)0.15 (0.27)1.16−0.11 (0.21)0.890.11 (0.28)1.11−0.15 (0.21)0.860.55 (0.39)1.730.44 (0.42)1.55
    Employed§
        Part time0.43 (0.25)1.540.48‡ (0.25)1.610.47‡ (0.27)1.60.53† (0.27)1.700.63‡ (0.35)1.870.62‡ (0.37)1.87
        Full time1.15† (0.45)3.161.12† (0.49)3.061.29† (0.46)3.631.28† (0.5)3.601.74† (0.54)5.681.68† (0.63)5.34
        Sexual orientation (1 = LGBT)1.32† (0.4)3.751.29† (0.39)3.631.45† (0.41)4.281.45† (0.39)4.261.64† (0.49)5.171.56† (0.46)4.74
    Family income−0.56† (0.23)0.57−0.57† (0.22)0.57−0.64† (0.24)0.53−0.64† (0.23)0.53−0.62† (0.31)0.54−0.58‡ (0.3)0.56
    Family income20.06† (0.02)1.060.06† (0.02)1.060.07† (0.02)1.070.06† (0.02)1.070.06† (0.03)1.070.05‡ (0.03)1.05
    Alcohol use——0.17† (0.09)1.19——0.15‡ (0.09)1.16——0.10 (0.12)1.10
    Marijuana use——0.00 (0.07)1.00——−0.03 (0.07)0.97——0.09 (0.09)1.10
    Pharmaceutical misuse——0.34† (0.07)1.40——0.35† (0.07)1.42——0.38† (0.10)1.46
    Constant−2.22−2.88−2.19−2.74−3.14−3.49
    Model χ241.3164.6545.5462.0250.4160.43
    Pseudo-R20.0660.1140.0800.1210.1300.177
    Model c (area under ROC curve)0.6520.7100.6670.7190.6980.761
    • ↵* White is the reference category for race.

    • ↵† P < .05.

    • ↵‡ P < .10.

    • ↵§ Not employed is the reference category for employment.

    • LGBT, lesbian/gay/bisexual/transgender; OR, odds ratio; ROC, receiver operating characteristic; SE, standard error.

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The Journal of the American Board of Family     Medicine: 27 (5)
The Journal of the American Board of Family Medicine
Vol. 27, Issue 5
September-October 2014
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Deception for Drugs: Self-Reported “Doctor Shopping” Among Young Adults
John M. Stogner, Amber Sanders, Bryan Lee Miller
The Journal of the American Board of Family Medicine Sep 2014, 27 (5) 583-593; DOI: 10.3122/jabfm.2014.05.140107

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Deception for Drugs: Self-Reported “Doctor Shopping” Among Young Adults
John M. Stogner, Amber Sanders, Bryan Lee Miller
The Journal of the American Board of Family Medicine Sep 2014, 27 (5) 583-593; DOI: 10.3122/jabfm.2014.05.140107
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