Cited by 215Opioid Use Disorder TreatmentAnesthesia and Pain ManagementPain Management and Opioid Use

Defining Optimal Length of Opioid Pain Medication Prescription After Common Surgical Procedures

Open access
Scully, Rebecca E., Schoenfeld, Andrew J., Jiang, Wei, Lipsitz, Stuart, Chaudhary, Muhammad Ali, Learn, Peter A., Koehlmoos, Tracey, Haider, Adil H. +1 more·2018·JAMA Surgery

Abstract

Importance: The overprescription of pain medications has been implicated as a driver of the burgeoning opioid epidemic; however, few guidelines exist regarding the appropriateness of opioid pain medication prescriptions after surgery. Objectives: To describe patterns of opioid pain medication prescriptions after common surgical procedures and determine the appropriateness of the prescription as indicated by the rate of refills. Design, Setting, and Participants: The Department of Defense Military Health System Data Repository was used to identify opioid-naive individuals 18 to 64 years of age who had undergone 1 of 8 common surgical procedures between January 1, 2005, and September 30, 2014. The adjusted risk of refilling an opioid prescription based on the number of days of initial prescription was modeled using a generalized additive model with spline smoothing. Exposures: Length of initial prescription for opioid pain medication. Main Outcomes and Measures: Need for an additional subsequent prescription for opioid pain medication, or a refill. Results: Of the 215 140 individuals (107 588 women and 107 552 men; mean [SD] age, 40.1 [12.8] years) who underwent a procedure within the study time frame and received and filled at least 1 prescription for opioid pain medication within 14 days of their index procedure, 41 107 (19.1%) received at least 1 refill prescription. The median prescription lengths were 4 days (interquartile range [IQR], 3-5 days) for appendectomy and cholecystectomy, 5 days (IQR, 3-6 days) for inguinal hernia repair, 4 days (IQR, 3-5 days) for hysterectomy, 5 days (IQR, 3-6 days) for mastectomy, 5 days (IQR, 4-8 days) for anterior cruciate ligament repair and rotator cuff repair, and 7 days (IQR, 5-10 days) for discectomy. The early nadir in the probability of refill was at an initial prescription of 9 days for general surgery procedures (probability of refill, 10.7%), 13 days for women's health procedures (probability of refill, 16.8%), and 15 days for musculoskeletal procedures (probability of refill, 32.5%). Conclusions and Relevance: Ideally, opioid prescriptions after surgery should balance adequate pain management against the duration of treatment. In practice, the optimal length of opioid prescriptions lies between the observed median prescription length and the early nadir, or 4 to 9 days for general surgery procedures, 4 to 13 days for women's health procedures, and 6 to 15 days for musculoskeletal procedures.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamasurg.2017.3132

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 24

  1. -41] Abbreviations: ACL, anterior cruciate ligament; IQR, interquartile range.
  2. Dart RC, Surratt HL, Cicero TJ, et al. Trends in opioid analgesic abuse and mortality in the United States. N Engl J Med. 2015;372(3):241-248.
  3. Hill MV, McMahon ML, Stucke RS, Barth RJ Jr. Wide variation and excessive dosage of opioid prescriptions for common general surgical procedures. Ann Surg. 2017;265(4):709-714.
  4. Paulozzi LJ, Mack KA, Hockenberry JM; Division of Unintentional Injury Prevention, National Center for Injury Prevention and Control, CDC. Vital signs: variation among states in prescribing of opioid pain relievers and benzodiazepines-United States, 2012. MMWR Morb Mortal Wkly Rep. 2014;63(26):563-568.
  5. Irvine JM, Hallvik SE, Hildebran C, Marino M, Beran T, Deyo RA. Who uses a prescription drug monitoring program and how? insights from a statewide survey of Oregon clinicians. J Pain. 2014;15 (7):747-755.
  6. Lin DH, Lucas E, Murimi IB, et al. Physician attitudes and experiences with Maryland's prescription drug monitoring program (PDMP). Addiction. 2017;112(2):311-319.
  7. Meara E, Horwitz JR, Powell W, et al. State legal restrictions and prescription-opioid use among disabled adults. N Engl J Med. 2016;375(1):44-53.
  8. Hegmann KT, Weiss MS, Bowden K, et al; American College of Occupational and Environmental Medicine. ACOEM practice guidelines: opioids for treatment of acute, subacute, chronic, and postoperative pain. J Occup Environ Med. 2014;56 (12):e143-e159.
  9. Schoenfeld AJ, Jiang W, Harris MB, et al. Association between race and postoperative outcomes in a universally insured population vs patients in the state of California. Ann Surg. 2017; 266(2):267-273.
  10. Zogg CK, Jiang W, Chaudhary MA, et al. Racial disparities in emergency general surgery: Do differences in outcomes persist among universally insured military patients? J Trauma Acute Care Surg. 2016;80(5):764-775.
  11. Stewart KA, Higgins PC, McLaughlin CG, Williams TV, Granger E, Croghan TW. Differences in prevalence, treatment, and outcomes of asthma among a diverse population of children with equal access to care: findings from a study in the military health system. Arch Pediatr Adolesc Med. 2010;164 (8):720-726.
  12. Bagchi AD, Stewart K, McLaughlin C, Higgins P, Croghan T. Treatment and outcomes for congestive heart failure by race/ethnicity in TRICARE. Med Care. 2011;49(5):489-495.
  13. Gimbel RW, Pangaro L, Barbour G. America's "undiscovered" laboratory for health services research. Med Care. 2010;48(8):751-756.
  14. Jiang X, Orton M, Feng R, et al. Chronic opioid usage in surgical patients in a large academic center. Ann Surg. 2017;265(4):722-727.
  15. Li Y, Stocchi L, Cherla D, Liu X, Remzi FH. Association of preoperative narcotic use with postoperative complications and prolonged length of hospital stay in patients with Crohn disease. JAMA Surg. 2016;151(8):726-734.
  16. Morris BJ, Sciascia AD, Jacobs CA, Edwards TB. Preoperative opioid use associated with worse outcomes after anatomic shoulder arthroplasty. J Shoulder Elbow Surg. 2016;25(4):619-623.
  17. Zywiel MG, Stroh DA, Lee SY, Bonutti PM, Mont MA. Chronic opioid use prior to total knee arthroplasty. J Bone Joint Surg Am. 2011;93(21): 1988-1993.
  18. Lawrence JTR, London N, Bohlman HH, Chin KR. Preoperative narcotic use as a predictor of clinical outcome: results following anterior cervical arthrodesis. Spine (Phila Pa 1976). 2008;33(19): 2074-2078.
  19. Sun EC, Darnall BD, Baker LC, Mackey S. Incidence of and risk factors for chronic opioid use among opioid-naive patients in the postoperative period. JAMA Intern Med. 2016;176(9):1286-1293.
  20. Ringwalt C, Gugelmann H, Garrettson M, et al. Differential prescribing of opioid analgesics according to physician specialty for Medicaid patients with chronic noncancer pain diagnoses. Pain Res Manag. 2014;19(4):179-185.
  21. Chen JH, Humphreys K, Shah NH, Lembke A. Distribution of opioids by different types of Medicare prescribers. JAMA Intern Med. 2016;176(2):259-261.
  22. Clark JY, Thompson IM. Military rank as a measure of socioeconomic status and survival from prostate cancer. South Med J. 1994;87(11):1141-1144.
  23. Tarman GJ, Kane CJ, Moul JW, et al. Impact of socioeconomic status and race on clinical parameters of patients undergoing radical prostatectomy in an equal access health care system. Urology. 2000;56(6):1016-1020. REFERENCES
  24. Dart RC, Surratt HL, Cicero TJ, et al. Trends in opioid analgesic abuse and mortality in the United States. N Engl J Med. 2015;372(3):241-248.

Cited by

Sorted by citations

Authors
Scully, R. E., Schoenfeld, A. J., Jiang, W., Lipsitz, S., Chaudhary, M. A., Learn, P. A., Koehlmoos, T., Haider, A. H., & Nguyen, L. L.
Affiliations
  • Brigham and Women's Hospital (US)
  • Uniformed Services University of the Health Sciences (US)
Corresponding author
Nguyen, Louis L.
Venue
JAMA Surgery
Published
2018-01-01
Volume
153
Issue
1
Pages
37
ISSN
2168-6254 (ISSN-L)
OpenAlex
W2757001466
Cited by
215
References
6
Citations by year
2026: 11 · 2025: 11 · 2024: 12 · 2023: 20 · 2022: 22 · 2021: 22 · 2020: 33 · 2019: 50 · 2018: 30 · 2017: 3
FWCI
29.79
Type
journal article
Language
en
Open access
Locations
  • JAMA Surgery (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eCommons - AKU (Aga Khan University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
  • Health Sciences › Medicine › Surgery › Anesthesia and Pain Management
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
Keywords
opioid analgesics, prescription refills, postoperative pain management, opioid overprescribing, opioid epidemic, surgical procedures, military health system, appendectomy, cholecystectomy, inguinal hernia repair, hysterectomy, mastectomy, anterior cruciate ligament repair, rotator cuff repair, discectomy, musculoskeletal surgery
MeSH terms
Adult, Analgesics, Opioid, Female, Humans, Male, Pain, Postoperative, Postoperative Pain, Drug Prescriptions, Surgical Procedures, Operative, United States, Cohort Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review