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Brief ReportBrief Report

Urine Drug Testing Among Patients Prescribed Long-Term Opioid Therapy: Patient and Clinician Factors

Alicia L. Agnoli, Rebecca Howe, Elizabeth Magnan, Anthony Jerant, Daniel Colby and Peter Franks
The Journal of the American Board of Family Medicine August 2023, 36 (4) 537-541; DOI: https://doi.org/10.3122/jabfm.2022.220360R1
Alicia L. Agnoli
From the Department of Family & Community Medicine, UC Davis (AA); Department of Family & Community Medicine, UC Davis (RH, EM, AJ, PF); Department of Emergency Medicine, UC Davis (DC).
MD, MPH, MHS
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Rebecca Howe
From the Department of Family & Community Medicine, UC Davis (AA); Department of Family & Community Medicine, UC Davis (RH, EM, AJ, PF); Department of Emergency Medicine, UC Davis (DC).
MD
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Elizabeth Magnan
From the Department of Family & Community Medicine, UC Davis (AA); Department of Family & Community Medicine, UC Davis (RH, EM, AJ, PF); Department of Emergency Medicine, UC Davis (DC).
MD, PhD
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Anthony Jerant
From the Department of Family & Community Medicine, UC Davis (AA); Department of Family & Community Medicine, UC Davis (RH, EM, AJ, PF); Department of Emergency Medicine, UC Davis (DC).
MD
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Daniel Colby
From the Department of Family & Community Medicine, UC Davis (AA); Department of Family & Community Medicine, UC Davis (RH, EM, AJ, PF); Department of Emergency Medicine, UC Davis (DC).
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Peter Franks
From the Department of Family & Community Medicine, UC Davis (AA); Department of Family & Community Medicine, UC Davis (RH, EM, AJ, PF); Department of Emergency Medicine, UC Davis (DC).
MD
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Article Figures & Data

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    Table 1.

    Characteristics of Patients Prescribed Long-Term Opioid Therapy, by Urine Drug Testing Status

    TotalNo UDTUDTp-Value
    N569034742216
    Sex0.78
     Female3520 (61.9%)2154 (62.0%)1366 (61.6%)
    Race<0.001
     White4312 (75.8%)2669 (76.8%)1643 (74.1%)
     Black559 (9.8%)297 (8.5%)262 (11.8%)
     Asian154 (2.7%)109 (3.1%)45 (2.0%)
     Other665 (11.7%)399 (11.5%)266 (12.0%)
    Age<0.001
     <30130 (2.3%)96 (2.8%)34 (1.5%)
     30 to 491085 (19.1%)650 (18.7%)435 (19.6%)
     50 to 642260 (39.7%)1332 (38.3%)928 (41.9%)
     65 to 841993 (35.0%)1232 (35.5%)761 (34.3%)
     85+222 (3.9%)164 (4.7%)58 (2.6%)
    Medicaid insurance152 (2.7%)118 (3.4%)34 (1.5%)<0.001
    English speaking5514 (96.9%)3351 (96.5%)2163 (97.6%)0.015
    No. opioid prescriptions, median (IQR)7.0 (4.0, 12.0)6.0 (4.0, 10.0)11.0 (7.0, 14.0)<0.001
    Max. daily dose opioids, mean (SD)83.6 (257.3)75.6 (137.3)96.0 (374.5)0.004
    No. office visits/year, median (IQR)9.0 (5.0, 15.0)9.0 (5.0, 15.0)10.0 (6.0, 15.0)0.14
    Prescriber specialty<0.001
     Family Medicine3289 (57.8%)2004 (57.7%)1285 (58.0%)
     Internal Medicine1482 (26.0%)727 (20.9%)755 (34.1%)
     Specialist919 (16.2%)743 (21.4%)176 (7.9%)
    Female prescriber2871 (50.5%)1709 (49.2%)1162 (52.4%)0.017
    • Notes: Sample represents 5690 individual patients within a large primary care network prescribed at least 3 months of opioid therapy. All data extracted from electronic medical record.

    • Abbreviations: UDT, urine drug test; Max daily dose, highest MME (morphine milliequivalent) per day during the study year; IQR, interquartile range; SD, standard deviation.

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    Table 2.

    Adjusted Association of Urine Drug Testing by Patient and Prescriber Factors

    aIRR (95% CI)p-Value
    Female sex (vs male)0.9 (0.9,1.0)0.21
    Race (vs White)
     Black1.2 (1.0,1.4)0.01
     Asian0.7 (0.5,1.0)0.04
     Other1.0 (0.8,1.2)0.91
    Age, years (vs <30)
     30 to 491.4 (1.0,2.0)0.08
     50 to 641.3 (0.9,1.9)0.13
     65 to 841.3 (0.9,1.8)0.18
     85+0.8 (0.5,1.3)0.42
    Medicaid (vs other insurance)1.0 (0.7,1.4)0.9
    English language preferred (vs non-English)1.0 (0.7,1.4)0.92
    No. opioid prescriptions1.1 (1.1,1.1)<0.01
    Max. daily dose opioids1.0 (1.0,1.0)0.94
    No. office visits1.0 (1.0,1.0)0.27
    Prescriber specialty (vs Family Medicine)
     Internal Medicine1.6 (1.3,1.9)<0.01
     Specialist0.6 (0.5,0.7)<0.01
    Female prescriber (vs male)1.3 (1.0,1.5)0.02
    • Notes: Negative binomial regression modeling the adjusted association between patient and prescriber factors and urine drug testing. Statistical significance set at P < .05.

    • Abbreviations: aIRR, adjusted incidence rate ratio; Max daily dose opioids, highest MME (morphine milliequivalent) per day during the study year; CI, confidence interval.

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The Journal of the American Board of Family     Medicine: 36 (4)
The Journal of the American Board of Family Medicine
Vol. 36, Issue 4
July-August 2023
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Urine Drug Testing Among Patients Prescribed Long-Term Opioid Therapy: Patient and Clinician Factors
Alicia L. Agnoli, Rebecca Howe, Elizabeth Magnan, Anthony Jerant, Daniel Colby, Peter Franks
The Journal of the American Board of Family Medicine Aug 2023, 36 (4) 537-541; DOI: 10.3122/jabfm.2022.220360R1

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Urine Drug Testing Among Patients Prescribed Long-Term Opioid Therapy: Patient and Clinician Factors
Alicia L. Agnoli, Rebecca Howe, Elizabeth Magnan, Anthony Jerant, Daniel Colby, Peter Franks
The Journal of the American Board of Family Medicine Aug 2023, 36 (4) 537-541; DOI: 10.3122/jabfm.2022.220360R1
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