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. Author manuscript; available in PMC: 2017 Apr 19.
Published in final edited form as: JAMA. 2016 Apr 19;315(15):1654–1657. doi: 10.1001/jama.2016.0130

Opioids Prescribed After Low-Risk Surgical Procedures in the United States, 2004–2012

Hannah Wunsch 1, Duminda N Wijeysundera 1, Molly A Passarella 1, Mark D Neuman 1
PMCID: PMC4837043  NIHMSID: NIHMS769658  PMID: 26978756

Abstract

Adverse events related to opioid analgesics are common.1,2 Although opioids represent a component of pain treatment regimens following low-risk surgery,3,4 few data exist regarding patterns of postoperative opioid prescribing over time. We assessed trends in the amount of hydrocodone/acetaminophen and oxycodone/acetaminophen prescribed, 2 opioids commonly used for postoperative pain management.

Methods

The University of Pennsylvania determined this research was exempt from review. We identified patients from the Clinformatics Data Mart Database (OptumInsight),5 including health care encounters of approximately 14 million primarily commercially insured patients. Adults in the database tend to be younger and from the South compared with the US population. The database includes pharmacy and medical claims with data on services and procedures.

The sample included opioid-naive adults (age, 18–64y) who underwent 1 or more of 4 low-risk surgical procedures in 2004, 2008, or 2012: carpal tunnel release, laparoscopic cholecystectomy, inguinal hernia repair, or knee arthroscopy. Patients who filled any opioid prescription in the 6 months before surgery were excluded. We assessed the proportion of patients who filled any opioid prescription (and specifically hydrocodone/ acetaminophen or oxycodone/acetaminophen) in the 7 days after hospital discharge (inpatients) or after the procedure date (outpatients).

For patients who filled a prescription for hydrocodone/ acetaminophen or oxycodone/acetaminophen, we calculated morphine equivalents dispensed using a standard conversion table.6 We calculated the mean duration of prescriptions, daily morphine equivalent dose, and total morphine equivalents across the procedures and over time. We assessed trends using linear regression, adjusting for age, sex, inpatient/outpatient procedure, and region. Two-sided P values less than .05 were considered statistically significant; SAS (SAS Institute), version 9.3, was used.

Results

Characteristics of opioid-naive patients who underwent a low-risk surgical procedure (N = 155 297) changed over time, becoming more likely to be older and male and less likely to have inpatient surgery. Within 7 days, 80.0% filled a prescription for any opioid, and 86.4%of these prescriptions were for hydrocodone/acetaminophen or oxycodone/acetaminophen (Table 1). The proportion filling a prescription for hydrocodone/ acetaminophen or oxycodone/acetaminophen varied across surgical procedures from 59.7% (carpal tunnel release) to 75.5% (inguinal hernia repair). The proportions of patients filling prescriptions for any opioid and for hydrocodone/ acetaminophen and oxycodone/acetaminophen increased over time for all surgical procedures (Table 1).

Table 1.

Characteristics of Opioid-Naive Patients Who Underwent Carpal Tunnel Release, Laparoscopic Cholecystectomy, Inguinal Hernia Repair, or Knee Arthroscopy Surgical Procedures, 2004–2012

Patient Characteristics Total Cohort Carpal Tunnel Release
Laparoscopic
Cholecystectomy
Inguinal Hernia Repair
Knee Arthroscopy
2004 2008 2012 2004 2008 2012 2004 2008 2012 2004 2008 2012
Total patients, No. 155 297 7459 7123 6567 14 615 17 165 15 409 8719 8311 6266 20 867 22 945 19 851

Filling a prescription within 7 d, No. (%)

 Any opioid 124 207 (80.0) 5402 (72.4) 5369 (75.4) 5000 (76.1) 10 995 (75.2) 13 621 (79.4) 12 464 (80.9) 7223 (82.8) 7098 (85.4) 5375 (85.8) 16 504 (79.1) 18 882 (82.3) 16 274 (82.0)

 Hydrocodone/ acetaminophen or oxycodone/acetaminophen 107 348 (69.1) 4030 (54.0) 4249 (59.7) 4340 (66.1) 8586 (58.8) 11 538 (67.2) 11 469 (74.4) 6197 (71.1) 6378 (76.7) 5019 (80.1) 14 172 (67.9) 16 620 (72.4) 14 750 (74.3)

Age, mean (SD), y 45.3 (11.9) 48.4 (9.7) 49.7 (9.3) 50.2 (9.7) 42.6 (11.5) 43.0 (11.8) 43.2 (11.9) 45.1 (12.0) 46.4 (11.9) 47.5 (12.0) 44.3 (11.9) 45.7 (12.1) 46.4 (12.3)

Men, No. (%) 76 912 (49.5) 2210 (29.6) 2254 (31.6) 2333 (35.5) 3342 (22.9) 4201 (24.5) 4075 (26.5) 7919 (90.8) 7593 (91.4) 5755 (91.8) 12 309 (59.0) 13 437 (58.6) 11 484 (57.9)

Inpatient procedure, No. (%) 6367 (4.1) 53 (0.7) 56 (0.8) 35 (0.5) 2014 (13.8) 1910 (11.1) 1439 (9.3) 203 (2.3) 164 (2.0) 116 (1.9) 168 (0.8) 130 (0.6) 79 (0.4)

Region, No, (%)

 Northeast 14 454 (9.3) 669 (9.0) 640 (9.0) 542 (8.3) 1120 (7.7) 1228 (7.2) 1100 (7.1) 999 (11.5) 864 (10.4) 666 (10.6) 2130 (10.2) 2336 (10.2) 2160 (10.9)

 South 68 060 (43.8) 2888 (38.7) 3152 (44.3) 2848 (43.4) 6827 (46.7) 9030 (52.6) 7943 (51.6) 3504 (40.2) 3777 (45.5) 2728 (43.5) 7728 (37.0) 9817 (42.8) 7818 (39.4)

 Midwest 51 859 (33.4) 3252 (43.6) 2529 (35.5) 2352 (35.8) 5047 (34.5) 4737 (27.6) 4311 (28.0) 3131 (35.9) 2551 (30.7) 1886 (30.1) 7981 (38.3) 7323 (31.9) 6759 (34.1)

 West 20 853 (13.4) 647 (8.7) 799 (11.2) 823 (12.5) 1611 (11.0) 2168 (12.6) 2047 (13.3) 1078 (12.4) 1114 (13.4) 982 (15.7) 3011 (14.4) 3467 (15.1) 3106 (15.7)

 Unknown 71 (0.1) <10 <10 <10 10 (0.1) <10 <10 <10 <10 <10 17 (0.1) <10 <10

Among patients filling a prescription for hydrocodone/ acetaminophen or oxycodone/acetaminophen, the mean morphine equivalents dispensed ranged from 203.0(95%CI, 202.1–204.0) for laparoscopic cholecystectomy to 268.8 (95% CI, 267.6–270.0) for knee arthroscopy (Table 2). The mean morphine equivalents dispensed increased over time for all procedures: adjusted increase from 2004 through 2012,29.71 (95% CI, 28.08–31.35; P < .001). The adjusted increase was highest for knee arthroscopy: 45.16 morphine equivalents (95% CI, 42.26–48.07; P < .001). This increase was driven by an increase in the mean daily dose prescribed, with little change in the duration of prescriptions (Table 2).

Table 2.

Total Opioids Prescribed, Mean Daily Dose, and Duration of Prescription for Opioid-Naive Patients Who Filled an Opioid Prescription for Hydrocodone/Acetaminophen or Oxycodone/Acetaminophen Within 7 Days After Surgery (Outpatients) or Hospital Discharge (Inpatients), 2004–2012

Surgery Type Total Morphine Equivalents Prescribed
Mean Daily Dose Prescribed, mg
Duration of Prescription, d
Mean (95% CI) Absolute Change (95% CI) P Valuea Mean (95% CI) Absolute Change (95% CI) P Valuea Mean (95% CI) Absolute Change (95% CI) P Valuea
All 4 surgical proceduresb

 All years 235.1 (234.4 to 235.8) 51.6 (51.4 to 51.7) 5.0 (5.0 to 5.1)

 2004 219.2 (218.1 to 220.2) Reference 48.7 (48.5 to 49.0) Reference 5.1 (5.0 to 5.1) Reference

 2008 237.4 (236.3 to 238.5) 17.83 (16.23 to 19.44) <.001 51.0 (50.7 to 51.2) 2.19 (1.84 to 2.54) <.001 5.1 (5.1 to 5.1) 0.03 (−0.01 to 0.07) .10

 2012 247.4 (246.1 to 248.8) 29.71 (28.08 to 31.35) <.001 54.8 (54.6 to 55.1) 6.29 (5.93 to 6.65) <.001 4.9 (4.9 to 5.0) −0.12 (−0.17 to 0.08) <.001

Carpal tunnel releasec

 All years 213.1 (211.1 to 215.1) 47.0 (46.7 to 47.4) 5.0 (4.9 to 5.0)

 2004 201.6 (198.7 to 204.5) Reference 44.4 (43.8 to 45.1) Reference 5.1 (5.0 to 5.2) Reference

 2008 216.4 (213.1 to 219.8) 13.21 (8.34 to 18.08) <.001 46.6 (45.9 to 47.2) 2.03 (1.06 to 2.99) <.001 5.1 (5.0 to 5.1) −0.05 (−0.17 to 0.07) .39

 2012 220.5 (216.6 to 224.4) 17.58 (12.74 to 22.43) <.001 50.0 (49.3 to 50.7) 5.38 (4.42 to 6.34) <.001 4.8 (4.7 to 4.9) −0.30 (−0.41 to −0.18) <.001

Laparoscopic cholecystectomyc

 All years 203.0 (202.1 to 204.0) 49.2 (49.0 to 49.5) 4.6 (4.5 to 4.6)

 2004 190.1 (188.4 to 191.8) Reference 47.0 (46.6 to 47.5) Reference 4.6 (4.5 to 4.6) Reference

 2008 203.8 (202.2 to 205.4) 12.47 (10.07 to 14.86) <.001 48.9 (48.5 to 49.3) 1.75 (1.12 to 2.37) <.001 4.6 (4.5 to 4.6) −0.02 (−0.08 to 0.05) .58

 2012 211.9 (210.2 to 213.5) 20.39 (17.99 to 22.79) <.001 51.3 (50.9 to 51.7) 4.15 (3.52 to 4.78) <.001 4.6 (4.5 to 4.6) −0.05 (−0.12 to 0.01) .13

Inguinal hernia repairb

 All years 221.5 (220.1 to 222.9) 51.9 (51.6 to 52.3) 4.7 (4.7 to 4.7)

 2004 212.1 (209.9 to 214.3) Reference 50.4 (49.8 to 50.9) Reference 4.7 (4.7 to 4.8) Reference

 2008 224.6 (222.2 to 226.9) 11.84 (8.57 to 15.10) <.001 51.7 (51.1 to 52.2) 1.29 (0.47 to 2.11) .002 4.8 (4.7 to 4.8) 0.03 (−0.05 to 0.11) .51

 2012 229.3 (226.7 to 232.0) 16.57 (13.09 to 20.05) <.001 54.2 (53.6 to 54.9) 3.82 (2.95 to 4.69) <.001 4.6 (4.6 to 4.7) −0.10 (−0.18 to −0.01) .03

Knee arthroscopyb

 All years 268.8 (267.6 to 270.0) 54.3 (54.0 to 54.5) 5.5 (5.5 to 5.5)

 2004 244.8 (243.1 to 246.6) Reference 50.3 (49.9 to 50.7) Reference 5.5 (5.5 to 5.6) Reference

 2008 271.1 (269.1 to 273.0) 25.30 (22.47 to 28.12) <.001 53.3 (52.9 to 53.6) 2.90 (2.33 to 3.47) <.001 5.6 (5.6 to 5.7) 0.10 (0.03 to 0.16) .005

 2012 289.2 (286.8 to 291.6) 45.16 (42.26 to 48.07) <.001 59.2 (58.7 to 59.6) 9.11 (8.53 to 9.70) <.001 5.4 (5.3 to 5.4) −0.14 (−0.21 to −0.08) <.001
a

Linear regression adjusting for patient characteristics assessing trends over time.

b

Adjusted for age, sex, inpatient/outpatient procedure, region, and surgical procedure.

c

Adjusted for age, sex, inpatient/outpatient procedure, and region.

Discussion

In this cohort, 70%of opioid-naive patients who underwent low-risk surgical procedures filled a prescription for hydrocodone/acetaminophen or oxycodone/acetaminophen within 7 days after discharge or the procedure date. The mean morphine equivalent dose increased over time for all procedures examined, with an increase of 18%(potency equivalent to an additional 45mg of morphine) for patients undergoing knee arthroscopy, driven by a change in the mean daily dose. Because the cohort was restricted to opioid-naive individuals, these changes are unlikely to represent an appropriate response by prescribing physicians to increasing rates of opioid tolerance over time within the population. Possible explanations include an increased focus on pain treatment or an increasing reliance on opioids for postoperative pain relief vs alternative therapies.

Limitations include restriction to 4 surgical procedures; lack of data after 2012, as further changes in prescribing practices could have occurred; use of data that may not be generalizable; and an inability to determine which patients received a prescription that they did not fill. Details regarding source data for the database were provided to us by the vendor in working documents; there may be uncertainty regarding the validity, completeness, and accuracy of the data. Further research should assess the contribution of postoperative opioid prescribing practices to the epidemic of prescription opioid-related abuse.

Acknowledgments

Funding/Support: This work is supported in part by a New Investigator Award from the Canadian Institutes of Health Research (Dr Wijeysundera) and a Merit Award from the Department of Anesthesia at the University of Toronto (Dr Wijeysundera).

Footnotes

Author Contributions: Dr Neuman and Ms Passarella had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Wunsch, Wijeysundera, Neuman.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Wunsch, Neuman.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: All authors.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. OptumInsight approved the manuscript specifically for accuracy of information related to Clinformatics Data Mart Database.

References

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