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Research ArticleOriginal Research

Prescribing Patterns and Use of Risk-Reduction Tools After Implementing an Opioid-Prescribing Protocol

Matthew A. Breeden, Christine K. Jacobs, Matthew Witthaus, Joanne Salas, Kelly M. Everard, Eric Penton and Jeffrey F. Scherrer
The Journal of the American Board of Family Medicine January 2020, 33 (1) 27-33; DOI: https://doi.org/10.3122/jabfm.2020.01.190247
Matthew A. Breeden
From the Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis MO
MD
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Christine K. Jacobs
From the Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis MO
MD
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Matthew Witthaus
From the Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis MO
MD
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Joanne Salas
From the Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis MO
MPH
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Kelly M. Everard
From the Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis MO
PhD
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Eric Penton
From the Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis MO
BS
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Jeffrey F. Scherrer
From the Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis MO
PhD
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Article Figures & Data

Tables

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    Table 1.

    Characteristics of Patients Receiving ≥1 Opioid Prescription from March 25, 2013 to September 25, 2016 (n = 2607)

    Characteristicn (%) or Mean (±SD)
    Age, mean (±SD)45.7 (±13.7)
    Gender
        Female1775 (68.1%)
        Male832 (31.9%)
    Race
        White1638 (62.8%)
        Black851 (32.6%)
        Asian56 (2.2%)
        Other55 (2.1%)
        Unknown7 (0.3%)
    Ethnicity
        Hispanic70 (2.7%)
        Non-Hispanic2085 (80.0%)
        Unknown452 (17.3%)
    Marital status
        Married749 (28.7%)
        Separated/divorced296 (11.4%)
        Widowed143 (5.5%)
        Single1406 (53.9%)
        Unknown13 (0.5%)
    Any PHQ-9n = 1617
        Max PHQ-9, mean (±SD)8.6 (±7.4)
        Any PHQ ≥10634 (39.2%)
    Any BMIn = 2527
        Max BMI, mean (±SD)34.0 (±9.2)
        Any BMI ≥301579 (62.5%)
    • BMI, body mass index; PHQ, Patient Health Questionnaire; SD, standard deviations.

    • View popup
    Table 2.

    Opioid-Prescribing Protocol Elements, Opioid Fill Information, and Co-Medications, for Patients with Any Opioid Prescription in Pre- or Post-Intervention Period

    Pre-Intervention (n = 1887)Post-Intervention (n = 1532)P-Value
    Protocol elements
        Urine drug screen345 (18.3%)411 (26.8%)<.0001
        ORT completedn/a90 (5.9%)n/a
        COMMn/a73 (4.8%)n/a
        Opioid treatment agreement214 (11.3%)189 (12.3%).369
    No. of elementsn/a
        0n/a1080 (70.5%)
        1n/a274 (17.9%)
        ≥2n/a178 (11.6%)
    No longer on opioid1,075 (57.0%)n/an/a
    Still on opioid812 (43.0%)n/an/a
    Opioid fill information
        Total No. RX, mean (±SD)7.3 (±10.2)7.2 (±8.8).766
        Total No. RX, categories
            1710 (37.6%)585 (38.2%)
            2281 (14.9%)194 (12.7%).273
            3113 (6.0%)102 (6.7%)
            ≥4783 (41.5%)651 (42.5%)
    Max daily dose (MED)*(n = 1883)(n = 1527)
        1 to 50 mg1657 (88.0%)1331 (87.2%)
        51 to 100 mg176 (9.4%)153 (10.0%).762
        >100 mg50 (2.7%)43 (2.8%)
    Co-medications
        Tramadol404 (21.4%)257 (16.8%).0006
        Benzodiazepines489 (25.9%)375 (24.5%).336
        Antidepressants1056 (56.0%)791 (51.6%).012
        Musculoskeletal agents580 (30.7%)453 (29.6%).460
        Anticonvulsants450 (23.9%)402 (26.2%).108
    • COMM, current opioid misuse measure; MED, morphine-equivalent dose; ORT, opioid risk tool; RX, prescription; SD, standard deviations.

    • ↵* Excludes methadone prescriptions.

    • View popup
    Table 3.

    Opioid Outcomes by Whether Patient Received a Urine Drug Screen (UDS), Opioid Risk Tool (ORT), Current Opioid Misuse Measure (COMM) and Opioid Treatment Agreement (OTA)—Post-Intervention Period Cohort (n = 1532)

    No UDS (n = 1121)UDS (n = 411)P-ValueNo ORT (n = 1442)ORT (n = 90)P-ValueNo COMM (n = 1459)COMM (n = 73)P-ValueNo OTA (n = 1,343)OTA (n = 189)P-Value
    Total No. RX, mean (±SD)5.0 (±7.0)13.2 (±10.5)<.00026.8 (±8.7)13.8 (±8.5)<.00016.6 (±8.6)18.0 (±8.0)<.00016.4 (±8.7)12.4 (±8.5)<.0001
    Total No. RX categories
        1523 (46.6%)62 (15.1%)578 (40.1%)7 (7.8%)584 (40.0%)< 5564 (42.05%)21 (11.1%)
        2164 (14.6%)30 (7.3%)189 (13.1%)5 (5.6%)194 (13.3%)0 (0.0%)187 (13.9%)7 (3.7%)<.0001
        387 (7.8%)15 (3.7%)<.0001100 (6.9%)< 5†<.0001102 (7.0%)0 (0.0%)<.000191 (6.8%)11 (5.8%)
        ≥4347 (31.0%)304 (74.0%)575 (39.9%)76 (84.4%)579 (39.7%)72 (98.6%)501 (37.3%)150 (79.4%)
    Max daily dose (MED)*(n = 1118)(n = 409)(n = 1438)(n = 89)(n = 1455)(n = 72)(n = 1,339)(n = 188)
        1 to 50 mg1034 (92.5%)297 (72.6%)1260 (87.6%)71 (79.8%)1285 (88.3%)46 (63.9%)1178 (88.0%)153 (81.4%)
        51 to 100 mg66 (5.9%)87 (21.3%)<.0001137 (9.5%)16 (18.0%).036129 (8.9%)24 (33.3%)<.0001123 (9.2%)30 (16.0%).015
        >100 mg18 (1.6%)25 (6.1%)41 (2.9%)< 541 (2.8%)< 538 (2.8%)5 (2.7%)
    Co-medications
        Tramadol197 (17.6%)60 (14.6%).167244 (16.9%)13 (14.4%).542244 (16.7%)13 (17.8%).809217 (16.2%)40 (21.2%).085
        Benzodiazepines236 (21.1%)139 (33.8%)<.0001341 (23.7%)34 (37.8%).003346 (23.7%)29 (39.7%).002310 (23.1%)65 (34.4%).0007
        Antidepressants546 (48.7%)245 (59.6%).0002735 (51.0%)56 (62.2%).038743 (50.9%)48 (65.8%).013666 (49.6%)125 (66.1%)<.0001
        Musculoskeletal agents309 (27.6%)144 (35.0%).005417 (28.9%)36 (40.0%).025425 (29.1%)28 (38.4%).092375 (27.9%)78 (41.3%).0002
        Anticonvulsants266 (23.7%)136 (33.1%).0002373 (25.9%)29 (32.2%).184372 (25.5%)30 (41.1%).003331 (24.7%)71 (37.6%).0002
    • MED, morphine equivalent dose; RX, prescriptions; UDS, urine drug screen; SD, standard deviations.

    • ↵* Excludes methadone prescriptions.

    • ↵† Cells containing less than 5 observations are reported as <5 to maintain confidentiality.

    • View popup
    Appendix Table 1.

    Opioid-Prescribing Protocol Elements, Opioid Fill Information, and Co-Medications, for Patients with a PHQ≥10 With any Opioid Prescription in Pre- or Post-Intervention Period

    Pre-intervention (n = 441)Post-intervention (n = 476)P-value
    Protocol elements
        Urine drug screen95 (21.5%)164 (34.5%)<.0001
        ORT completedn/a45 (9.5%)n/a
        COMMn/a33 (6.9%)n/a
        Opioid Treatment Agreement66 (15.0%)84 (17.7%).273
    No. elementsn/a
        0n/a298 (62.6%)
        1n/a93 (19.5%)
        ≥2n/a85 (17.9%)
    No longer on opioid158 (35.8%)n/an/a
    Still on opioid283 (64.2%)n/an/a
    Opioid fill information
    Total No. RX, mean (±SD)9.2 (±11.0)8.4 (±8.9).217
    Total No. RX, categories
        1128 (29.0%)152 (31.9%)
        260 (13.6%)50 (10.5%).444
        322 (5.0%)27 (5.7%)
        ≥4231 (52.4%)247 (51.9%)
    Max daily dose (MED)*(n = 439)(n = 474)
        1 to 50 mg379 (86.3%)407 (85.9%)
        51 to 100 mg50 (11.4%)55 (11.6%).963
        >100 mg10 (2.3%)12 (2.5%)
    Co-medications
        Tramadol102 (23.1%)91 (19.1%).136
        Benzodiazepines164 (37.2%)175 (36.7%).894
        Antidepressants335 (76.0%)360 (75.6%).906
        Musculoskeletal agents170 (38.6%)171 (35.9%).411
        Anticonvulsants136 (30.8%)161 (33.8%).335
    • COMM, current opioid misuse measure; MED, morphine-equivalent dose; ORT, opioid risk tool; RX, prescription; SD, standard deviations; PHQ, patient health questionnaire.

    • ↵* Excludes methadone prescriptions.

    • View popup
    Appendix Table 2.

    Opioid-Prescribing Protocol Elements, Opioid Fill Information, and Co-Medications, for Patients with a BMI ≥30 kg/m2 with any Opioid Prescription in Pre- or Post-Intervention Period

    Pre-Intervention (n = 1161)Post-Intervention (n = 963)P-Value
    Protocol elements
        Urine drug screen202 (17.4%)251 (26.1%)<.0001
        ORT completedn/a60 (6.2%)n/a
        COMMn/a49 (5.1%)n/a
        Opioid treatment agreement125 (10.8%)127 (13.2%).086
    No. elementsn/a
        0n/a680 (70.6%)
        1n/a169 (17.6%)
        ≥2n/a114 (11.8%)
    No longer on opioid616 (53.1%)n/an/a
    Still on opioid545 (46.9%)n/an/a
    Opioid fill information
    Total No. RX, mean (±SD)7.7 (±10.6)7.6 (±9.0).811
    Total No. RX, categories
        1406 (35.0%)341 (35.4%)
        2176 (15.2%)118 (12.3%).274
        372 (6.2%)64 (6.6%)
        ≥4507 (43.7%)440 (45.7%)
    Max daily dose (MED)*(n = 1158)(n = 958)
        1 to 50 mg1016 (87.7%)822 (85.8%)
        51 to 100 mg112 (9.7%)109 (11.4%).409
        >100 mg30 (2.6%)27 (2.8%)
    Co-medications
        Tramadol265 (22.8%)182 (18.9%).027
        Benzodiazepines298 (25.7%)247 (25.7%).992
        Antidepressants685 (59.0%)534 (55.5%).100
        Musculoskeletal agents386 (33.3%)321 (33.3%).967
        Anticonvulsants310 (26.7%)287 (29.8%).113
    • COMM, current opioid misuse measure; MED, morphine equivalent dose; ORT, opioid risk tool; RX, prescription; SD, standard deviations; BMI, body mass index.

    • ↵* Excludes methadone prescriptions.

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January-February 2020
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Prescribing Patterns and Use of Risk-Reduction Tools After Implementing an Opioid-Prescribing Protocol
Matthew A. Breeden, Christine K. Jacobs, Matthew Witthaus, Joanne Salas, Kelly M. Everard, Eric Penton, Jeffrey F. Scherrer
The Journal of the American Board of Family Medicine Jan 2020, 33 (1) 27-33; DOI: 10.3122/jabfm.2020.01.190247

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Prescribing Patterns and Use of Risk-Reduction Tools After Implementing an Opioid-Prescribing Protocol
Matthew A. Breeden, Christine K. Jacobs, Matthew Witthaus, Joanne Salas, Kelly M. Everard, Eric Penton, Jeffrey F. Scherrer
The Journal of the American Board of Family Medicine Jan 2020, 33 (1) 27-33; DOI: 10.3122/jabfm.2020.01.190247
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