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Research ArticleOriginal Research

Racial Differences in Primary Care Opioid Risk Reduction Strategies

William C. Becker, Joanna L. Starrels, Moonseong Heo, Xuan Li, Mark G. Weiner and Barbara J. Turner
The Annals of Family Medicine May 2011, 9 (3) 219-225; DOI: https://doi.org/10.1370/afm.1242
William C. Becker
MD
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Joanna L. Starrels
MD, MS
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Moonseong Heo
PhD
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Xuan Li
MS
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Mark G. Weiner
MD
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Barbara J. Turner
MD, MSEd
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    Figure 1.

    Patient flow diagram

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    Table 1.

    Patient Characteristics

    Racial Group
    CharacteristicAll Patients (N=1,612)Black Patients (n=1,001)xWhite Patients (n=611)P Valuea
    a χ2 test for categorical variables; t test for continuous variables.
    b Median annual household income in patient’s ZIP code.
    c Based on physician International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding.
    d Based on physician ICD-9-CM coding; patients may have multiple pain diagnoses.
    e Lower = at least one 6-month period without a visit and bottom quartile in office visit frequency; Higher = at least one visit in each 6-month period and highest quartile in office visit frequency; Intermediate = remaining patients.
    Outcome variables
    Urine drug testing, any, No. (%)129 (8.0)104 (10.4)25 (4.1)<.001
    Regular office visits, No. (%)803 (49.8)565 (56.4)238 (39.0)<.001
    Restricted early refills, No. (%)1,235 (76.6)795 (79.4)440 (72.0)<.001
    Demographics
    Age, mean (SD), years54.1 (15.5)53.6 (14.9)54.7 (16.4).17
    Women, No. (%)1,070 (66.4)708 (70.7)362 (59.3)<.001
    Household income, No. (%)b<.001
        <$25,000407 (25.3)380 (38.0)27 (4.4)
        $25,000–$34,999546 (33.9)484 (48.4)62 (10.2)
        $35,000–$69,999544 (33.8)129 (12.9)415 (67.9)
        ≥$70,000115 (7.1)8 (0.8)107 (17.5)
    Substance abusec
    Problem substance use, No. (%)174 (10.8)130 (13.0)44 (7.2)<.001
    Tobacco use, No. (%)259 (16.1)187 (18.7)72 (11.8)<.001
    Mental and physical health
    Mental health disorder,c No. (%)780 (48.4)478 (47.8)302 (49.3).51
    Pain diagnosis,d No. (%)
        Osteoarthritis693 (43.0)482 (48.2)211 (34.5)<.001
        Rheumatoid arthritis130 (8.1)83 (8.3)47 (7.7).66
        Lumbago830 (51.5)536 (53.6)294 (48.1).03
        Cervical/thoracic spine pain390 (24.2)234 (23.4)156 (25.5).33
        Sciatica375 (23.3)225 (22.5)150 (24.6).34
        Neuropathic pain427 (26.5)279 (27.9)148 (24.2).11
        Fibromyalgia260 (16.1)160 (16.0)100 (16.4).84
    Medical comorbidities,c No. (%)<.001
        None250 (15.5)110 (11.0)140 (22.9)
        1412 (25.6)224 (22.4)188 (30.8)
        2385 (23.9)238 (23.8)147 (24.1)
        ≥3565 (35.1)429 (42.9)136 (22.3)
    Health care factors
    Duration of long-term opioid treatment, mean (SD), weeks100.0 (62.9)101.9 (64.4)96.8 (60.4).11
    Appointment attendance rate, median (SD)0.65 (0.15)0.62 (0.15)0.69 (0.14)<.001
    Primary care use,e No. (%).002
        Lower256 (15.9)135 (13.5)121 (19.8)
        Intermediate1,008 (62.5)634 (63.3)374 (61.2)
        Higher348 (21.6)232 (23.2)116 (19.0)
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    Table 2.

    Odds of Receipt of Opioid Risk Reduction Strategies for Black vs White Patientsa

    Additive Adjustment for Sets of Variables
    StrategyUnadjustedClusteringbDemographicscSubstance AbusedComorbiditieseHealth Care FactorsfPractice Site
    Note: Values are odds ratios (95% confidence intervals) and P values.
    a Nonlinear mixed effect regression models adjusting additively for sets of patient, clinical, and health care variables.
    b Clustering of patients within physician.
    c Includes sex, age, median household income of neighborhood.
    d Includes problem substance use (alcohol, nonopiates, and opioids), tobacco use.
    e Mental health and medical comorbidities.
    f Includes duration of long-term opioid treatment, appointment attendance rate, and primary care use category. Primary care use category was not included in the regular office visits models.
    g Urine drug testing analysis excludes 2 practices that performed only 1 test or no tests in patients (n = 274 patients).
    Urine drug testingg1.63 (1.03–2.59) P=.041.53 (0.92–2.53) P=.101.44 (0.82–2.54) P=.211.45 (0.82–2.58) P=.201.54 (0.86–2.73) P=.151.56 (0.87–2.78) P=.141.41 (0.78–2.54) P=.26
    Regular office visits2.03 (1.65–2.49) P <.0012.22 (1.71–2.87) P <.0011.74 (1.28–2.38) P <.0011.74 (1.28–2.38) P <.0011.66 (1.21–2.28) P <.011.55 (1.10–2.19) P=.011.51 (1.06–2.14) P=.02
    Restricted early refills1.48 (1.17–1.87) P <.011.60 (1.22–2.10) P <.011.48 (1.06–2.08) P=.021.50 (1.07–2.10) P=.021.50 (1.01–2.11) P=.021.56 (1.06–2.31) P=.031.55 (1.03–2.32) P=.04

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  • The Article in Brief

    Racial Differences in Primary Care Opioid Risk Reduction Strategies

    Barbara J. Turner , and colleagues

    Background Previous research has found that doctors are less likely to prescribe opioid analgesics for pain to black patients when compared with white patients, in spite of findings that whites are more likely than blacks to misuse prescription opioids. This study looked at racial differences in risk reduction strategies, designed to minimize misuse of prescription pain medications, for patients receiving long-term opioids for chronic pain.

    What This Study Found Black patients are significantly more likely than white patients to receive recommended opioid risk reduction strategies. Analyzing health records for 1,612 patients prescribed opioid analgesics for chronic noncancer pain, researchers found black patients were more likely than white patients to receive urine drug testing (10 percent vs 4 percent), regular office visits (56 percent vs 39 percent) and restricted early refills (80 percent vs 72 percent). After adjustment for patient and health care factors, the odds of urine drug testing for blacks was still higher, but no longer significantly so.

    Implications

    • The racial differences found in this study contradict evidence that the risk of prescription drug abuse is greater in whites than in other racial/ethnic groups.
    • The authors call for clinical and educational initiatives to ensure that all patients are appropriately monitored for opioid use and that patient race does not affect opioid monitoring strategies.
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The Annals of Family Medicine: 9 (3)
The Annals of Family Medicine: 9 (3)
Vol. 9, Issue 3
1 May 2011
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Racial Differences in Primary Care Opioid Risk Reduction Strategies
William C. Becker, Joanna L. Starrels, Moonseong Heo, Xuan Li, Mark G. Weiner, Barbara J. Turner
The Annals of Family Medicine May 2011, 9 (3) 219-225; DOI: 10.1370/afm.1242

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Racial Differences in Primary Care Opioid Risk Reduction Strategies
William C. Becker, Joanna L. Starrels, Moonseong Heo, Xuan Li, Mark G. Weiner, Barbara J. Turner
The Annals of Family Medicine May 2011, 9 (3) 219-225; DOI: 10.1370/afm.1242
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