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Original research
Pain management on a trauma service: a crisis reveals opportunities
  1. Sabina Schaffer1,
  2. Dunya Bayat1,
  3. Walter L Biffl1,
  4. Jeffrey Smith2,
  5. Kathryn B Schaffer1,
  6. Tala H Dandan1,
  7. Jiayan Wang1,
  8. Deb Snyder1,
  9. Chris Nalick1,
  10. Imad S Dandan1,
  11. Gail T Tominaga1,
  12. Matthew R Castelo1
  1. 1Trauma Department, Scripps Memorial Hospital La Jolla, La Jolla, California, USA
  2. 2Orthopedic Trauma, Scripps Memorial Hospital La Jolla, La Jolla, California, USA
  1. Correspondence to Dr Walter L Biffl; biffl.walter{at}scrippshealth.org

Abstract

Objectives The opioid crisis has forced an examination of opioid prescribing and usage patterns. Multimodal pain management and limited, procedure-specific prescribing guidelines have been proposed in general surgery but are less well studied in trauma, where multisystem injuries and multispecialty caregivers are the norm. We hypothesized that opioid requirements would differ by primary type of injury and by age, and we sought to identify factors affecting opioid prescribing at discharge (DC).

Methods Retrospective analysis of pain management at a level II trauma center for January–November 2018. Consecutive patients with exploratory laparotomy (LAP); 3 or more rib fractures (fxs) (RIB); or pelvic (PEL), femoral (FEM), or tibial (TIB) fxs were included, and assigned to cohorts based on the predominant injury. Patients who died or had head Abbreviated Injury Scale >2 and Glasgow Coma Scale <15 were excluded. All pain medications were recorded daily; doses were converted to oral morphine equivalents (OMEs). The primary outcomes of interest were OMEs administered over the final 72 hours of hospitalization (OME72) and prescribed at DC (OMEDC). Multimodal pain therapy defined as 3 or more drugs used. Categorical variables and continuous variables were analyzed with appropriate statistical analyses.

Results 208 patients were included: 17 LAP, 106 RIB, 31 PEL, 26 FEM, and 28 TIB. 74% were male and 8% were using opiates prior to admission. Injury cohorts varied by age but not Injury Severity Score (ISS) or length of stay (LOS). 64% of patients received multimodal pain therapy. There was an overall difference in OME72 between the five injury groups (p<0.0001) and OME72 was lower for RIB compared with all other cohorts. Compared with younger (age <65) patients, older (≥65 years) patients had similar ISS and LOS, but lower OME72 (45 vs 135*) and OMEDC. Median OME72 differed significantly between older and younger patients with PEL (p=0.02) and RIB (p=0.01) injuries. No relationship existed between OMEDC across injury groups, by sex or injury severity. Patients were discharged almost exclusively by trauma service advanced practice clinicians (APCs). There was no difference among APCs in number of pills or OMEs prescribed. 81% of patients received opioids at DC, of whom 69% were prescribed an opioid/acetaminophen combination drug; and only 13% were prescribed non-steroidal anti-inflammatory drugs, 19% acetaminophen, and 31% gabapentin.

Conclusions Opioid usage varied among patients with different injury types. Opioid DC prescribing appears rote and does not correlate with actual opioid usage during the 72 hours prior to DC. Paradoxically, OMEDC tends to be higher among females, patients with ISS <16, and those with rib fxs, despite a tendency toward lower OME72 usage among these groups. There was apparent underutilization of non-opioid agents. These findings highlight opportunities for improvement and further study.

Level of evidence IV.

  • opioid
  • acetaminophen
  • pain management
  • accidental injuries

Data availability statement

No data are available.

http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

https://doi.org/10.1136/tsaco-2021-000862

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    Key messages

    What is already known on this topic

    • It is known that the opioid epidemic is an ongoing issue that across the country.

    • Opioids are often prescribed in trauma surgery settings, and it has been identified that there is considerable room for clarification of opioid prescribing methods.

    What this study adds

    • This study shows that there is underused potential for injury type to be a factor in defining hospital opioid prescribing regulations and for the increased use of multimodal pain management.

    How this study might affect research, practice, or policy

    • This research may be useful for developing new hospital opioid prescribing protocols.

    • It is a testament to the many factors that may be considered when analyzing current prescribing methods and overall, can contribute to the changes needed to control this public health issue.

    Background

    In 2017, the US Department of Health and Human Services declared that a public health emergency existed regarding the opioid crisis.1 This was in response to a steady rise in opioid overdose deaths that had continued for at least 18 years.2 Liberal prescribing practices for opioid analgesics in the USA have been variably attributed to: (a) misrepresentation by pharmaceutical companies of a low risk of misuse or addiction3; (b) the Joint Commission’s Pain Management Standards in 2001, emphasizing pain as a ‘fifth vital sign’4; and (c) the inclusion of questions related to pain management in patient satisfaction surveys used by the Centers for Medicare and Medicaid Services to determine hospital reimbursement rates.4 However, the prescribing is ultimately the responsibility of the healthcare professional.

    Opioid analgesics have been at the foundation of pain management in emergency settings across the USA5 A recent study from a level I trauma center found that patients treated for major orthopedic injuries as a result of high energy mechanisms all received opioids at the time of discharge (DC) and had a higher probability of abuse and dependency.6 In specialties such as general surgery, multimodal pain management and data-driven, procedure-specific opioid prescribing guidelines have been proposed to limit exposure to and dependence on opioids.7 8 In contrast, the multisystem nature of trauma and the involvement of multispecialty consultants impacts the ability to implement standardized guidelines. Eid et al9 have documented the variation within a single hospital acute care surgical service. Additionally, there has been little evidence to guide the transition from inpatient management to outpatient pain therapy.

    The purpose of this quality improvement study was to review analgesic usage patterns among patients on a trauma service in a single center and to determine the relationship between inpatient opioid usage and DC prescriptions. We hypothesized that opioid requirements would differ by primary type of injury and by age, and we sought to identify factors affecting opioid prescribing at DC.

    Methods

    Scripps Memorial Hospital La Jolla is an American College of Surgeons (ACS)-verified level II trauma center in the San Diego County trauma system. This was a retrospective observational cohort study. After obtaining approval from the Institutional Review Board, a retrospective analysis of pain management was performed. The study population included adult patients 18 years of age or older who were admitted to the trauma center between January and November 2018 with major thoracic, abdominal, or orthopedic trauma. Patients with incomplete data, pregnancy, incarceration, death during hospitalization, or head Abbreviated Injury Scale (AIS) >2 combined with Glasgow Coma Scale <15 were excluded. A total of 214 patients were identified for this study population, of which 208 met inclusion criteria and 6 were excluded.

    Patients were assigned to cohorts based on their predominant injuries with AIS >2, categorized as follows: major thoracic trauma including three or more rib fractures (RIB); abdominal trauma requiring laparotomy (LAP); pelvic fracture (PEL), femoral fracture (FEM), or tibial fracture (TIB). Patients with AIS >2 in a region outside the injury of interest, or multiple injuries with AIS >2, were excluded. Available retrospective patient medical data were collected, including daily analgesic, anxiolytic, and sedative medications and the doses administered. Opioid analgesic doses were converted to oral morphine equivalents (OMEs) using the following conversion factors (all in mg unless otherwise stated): oral codeine=0.15; oral tramadol=0.1; oral hydrocodone=1; oral oxycodone=1.5; oral methadone 1–20 mg/day=4, 21–40 mg/day=8, 41–60 mg/day=10, 61–80 mg/day=12; oral hydromorphone=4; parenteral morphine=3; parenteral hydromorphone=15; parenteral fentanyl=0.2 μg; transdermal fentanyl=2.4 μg/hour.10 Multimodal pain therapy was defined as the ordering of three or more analgesic medications. The primary outcomes of interest were OMEs administered over the final 72 hours of hospitalization (OME72) and prescribed at DC (OMEDC). Data are presented as means or medians, where appropriate. Categorical variables were analyzed using a two-proportion z-test, Fisher’s exact test and χ2 test and continuous variables with an unpaired t-test, Wilcoxon test, Kruskal-Wallis test, and analysis of variance . A p value <0.05 was considered significant.

    Results

    Two hundred eight patients were included. One hundred fifty-four (74%) were male. Females were older than males (65 vs 51 years, p<0.0001) and had shorter length of stay (LOS) (4.5 vs 7.3 days, p=0.004). Sixteen (8%) were using opioids prior to admission. One hundred thirty-four (64%) patients received multimodal pain therapy. The injury cohorts included: 17 LAP, 106 RIB, 31 PEL, 26 FEM, and 28 TIB. None of the RIB patients had surgical stabilization of rib fractures. Among the orthopedic injury patients, 73% had operative management; this included 89% of TIB, 69% of FEM, and 61% of PEL patients. Injury cohorts varied by age but not Injury Severity Score (ISS) or LOS (table 1).

    View this table:
    Table 1

    Comparison of five injury cohorts

    With the exception of PEL, all injury types had OME72 that differed from all of the other patients without that injury type: LAP versus all others, p=0.04; FEM versus all others, p=0.03; TIB versus all others, p<0.01; RIB versus all others, p<0.0001; PEL versus all others, p=0.47.

    Older patients (aged ≥65 years) had similar ISS and LOS, but lower OME72 (45 vs 135, p<0.0001) and OMEDC, compared with younger patients (aged <65 years) (table 2).

    View this table:
    Table 2

    Comparison of age cohorts: younger (<65 years) versus older (≥65 years), n=208

    There was no difference between the cohorts in prescription of multimodal pain therapy (p=0.77). There was an overall difference in OME72 between the five injury groups (p<0.01) and OME72 was lower for RIB compared with all other cohorts, but OME72 did not vary significantly based on number of rib fractures. Median OME72 also varied by age within injury cohorts. The PEL (p=0.02) and RIB (p=0.01) differences were significant, but FEM (p=0.16) and TIB (p=0.48) were not (figure 1).

    Figure 1
    Figure 1

    Median OME72 by injury cohort, comparing older (age >65 years) with younger (age <65 years) groups. *P<0.05, difference between age groups for injury cohort. FEM, femoral; LAP, laparotomy; OME72, oral morphine equivalents administered over the final 72 hours of hospitalization; PEL, pelvic; RIB, rib; TIB, tibial.

    There was no relationship between OMEDC across injury groups, or by sex or injury severity. In fact, females and those with ISS <16 had slightly lower OME72 yet slightly higher OMEDC. In examining the effect of LOS, we found that the OME administered in the final 24 hours of hospitalization did not differ, nor did the number of pills prescribed at DC.

    DC orders and prescriptions were written almost exclusively by trauma service advanced practice clinicians (APCs). There was no difference among the APCs in number of pills or OMEs prescribed. One hundred sixty-eight (81%) patients received opioids at DC; 69% of them were prescribed an opioid/acetaminophen (ACET) combination drug. Only 13% were prescribed non-steroidal anti-inflammatory drugs (NSAIDs) at DC, while 19% were prescribed ACET and 31% gabapentin (GABA).

    Discussion

    In this study, we found that opioid requirements varied by injury type, as well as between older adults and younger adults. We also found that opioid prescriptions at DC did not relate to the opioid usage in the final 72 hours prior to DC, indicating a disconnect in the transition from hospital to home. Finally, we found that the majority of patients received some form of multimodal pain therapy while inpatient, but only a minority were prescribed non-opioid agents at the time of DC. Thus, we have concluded that there are many opportunities to improve pain management and opioid usage after trauma.

    Although our methodology differed, Harvin et al11 found similar variation by injury type from multiple centers. Our RIB cohort had the lowest OME72; in the Harvin study,11 the ‘flail chest’ cohort were second-lowest opioid users (after traumatic brain injury, which we excluded). We had much higher OME72 in TIB compared with FEM patients. Harvin et al11 combined long bone fractures, precluding direct comparison. Our LAP patients had the second highest OME72; LAP patients were also second highest in the study by Harvin et al.11 These findings raise the possibility that injury-specific factors should be studied further and potentially considered in pain management guidelines. In fields such as general surgery, protocols have been developed to establish procedure specific guidelines for opioid prescribing.7 8 Since the time that this study was performed, some multimodal pain guidelines have been established in trauma surgery.12–14 Indeed, one could argue that the recent prospective trial from Harvin et al13 demonstrates success of robust multimodal pain therapy across all types of patients, making it a moot issue. However, they tended to enroll multisystem injured patients in their trial so it might be worthwhile to prospectively study more isolated injury types. It is noteworthy that our patient cohorts did not differ in the total number receiving multimodal pain therapy. Unfortnately, we did not collect data on when multimodal pain therapy was initiated but this should be studied further.

    We found that elderly patients received significantly fewer opioids than younger adults. This may have been a conscious decision on the part of the providers, but it is consistent with anecdotal observations that older patients often do not seem to complain of pain to the same degree. This was similarly reported by Hatton et al,15 in a secondary analysis of their prospective randomized trial. It is reassuring to note that similar pain control can be achieved with decreased opioid dosing.15 We had originally assumed the low OME72 in the RIB cohort was related to multimodal pain management. During the time period of our data collection, multimodal pain management had been promoted for the management of chest wall pain by both the Eastern Association for the Surgery of Trauma16 and the Western Trauma Association,17 and had been incorporated in our clinical care guideline for chest wall injury. However, it is possible that it could be related to the significant percentage (30%) of elderly patients in the RIB cohort. We will not be able to determine causality in this retrospective study, but the phenomenon is worthy of further study.

    In this study, OME72 and OMEDC had no relationship across injury type, injury severity or gender, but did differ by age. In certain cases, there was even a negative correlation between OME72 and OMEDC. This indicates that prescribing patterns at DC are not taking any of our identified potential factors into account but are instead following rote methods. A recent review and meta-analysis by Zhang et al18 found that current guidance for the prescription of opioids at DC after abdominopelvic surgery is heterogeneous and rarely supported by evidence. Pelaez et al19 found that in a population of children, those with fractures required more opioids; they also noted that opioids were administered for a broad spectrum of injuries, including minor injuries. Bhashyam et al20 also found that fracture location was an independent predictor of the amount of opioids prescribed. Both cases exemplify a lack of systematic prescribing methods. Regardless of injury type or OME72, 81% of patients received opioids at DC, with 69% of them prescribed an opioid/ACET combination drug. The median OMEDC equated to 30 opioid/ACET combination pills. This was clearly an opportunity for improvement, as this practice potentially precludes the ability to take effective doses of ACET on a scheduled basis. Powelson et al21 reported that chronic pain after trauma may be predicted by postsurgical pain score at 6 hours, presence of a head injury, use of regional analgesia, and the number of postoperative non-opioid medications used for pain relief. We excluded patients with head injury and did not employ regional anesthesia. Further study is warranted to determine predictive factors beyond injury type and opioid requirements.

    Current broad orthopedic guidelines dictate that any prescribing of long-term opioids should be limited to one prescriber. Furthermore, prescribing the lowest effective immediate release opioid for the shortest possible period is recommended. Regional anesthesia, psychosocial interventions and aromatherapies have all been suggested in the efforts to reduce opioid distribution.22 Warner et al23 assessed opioid prescribing practices after spine surgery and noted that despite recent efforts, there remain a few specific areas that warrant improvement. Foremost appears to be the prescribers’ ‘understanding of the role of opioid guidelines’. Each healthcare professional’s interpretation of opioid guidelines affects their personal prescribing habits. This is congruent with a study by Chapman et al,24 which notes that individual’s prescribing habits relate directly to the intensity of opioids received postoperatively. Other areas for improvement, according to Warner et al,23 include the transition of opioid prescribing responsibility between surgical and primary care teams, managing analgesic expectation of the patient (especially in patients with chronic pain), and opioid tapering. Each of these areas currently have wide ranges of inconsistency and no clear processes. Our study attempts to find a potential root to the inconsistencies and propose a way to begin forming tangible guidelines.

    One area of focus to further reduce opioid prescribing is education and training in proper use and the implementation of protocol. In our evaluation of which healthcare professionals were prescribing most frequently, we discovered that the opioid prescriptions were being written nearly exclusively by our APCs and that there was no difference between APCs in their prescriptions. While this has not been well-studied in trauma, there appears to be significant variation in prescribing practices between physicians and APCs. Some studies have suggested overprescribing behavior among APCs, and particularly among emergency department patients with injury.25 26 This requires further study and intensive education of providers. Attention must be paid to surgical trainees as well. Data from a study affiliated with the Department of Orthopedic Surgery at Harvard found that surgical residents did most opioid prescribing, and that they often prescribe over the state law maximum.27 These are both examples of how opioid prescriptions are widely routine and lack personalization. Bhashyam et al27 go on to state that less than half of those prescribing opioids participated in an opioid training program. Other studies show that surgical residents either feel ‘inadequately trained’28 or feel that additional training on proper prescribing methods of analgesics would be beneficial.29 There are many factors that lead to higher levels of opioid prescribing, but with more education on pain management along with a standardized protocol, opioid use has the potential to be significantly reduced.30

    Another area of focus to pair with proper protocols is emphasizing multimodal pain management. Of our patients, only 13% were prescribed NSAIDs, 19% ACET, and 31% GABA at DC. It is important to acknowledge that over-the-counter analgesics may not have been ‘prescribed’ but rather recommended at the time of DC. We did not collect complete data on such recommendations and thus may have underestimated the number who were given such a recommendation. However, the practice of the APPs at the time was to routinely prescribe an ACET/opioid combination drug, and thus additional ACET was not likely recommended. The use of some alternative analgesics such as GABA, ACET, and ibuprofen were significantly lower during hospital stay, and although prescribed at DC, were underused. Oyler et al14 state that education emphasizing the effectiveness of non-opioid pain management reduced opioid use at DC. This alludes to the importance of a protocol and one centered around non-opioid options.

    This slow adoption of multimodal pain management in trauma surgery may have been multifactorial. In our institution, there was a pervasive concern about the safety of NSAIDs with regard to fracture healing. While some studies have suggested a potential concern, the evidence is of low quality and current opinion is that it should not subvert multimodal pain therapy.31 32 Sim et al33 show in postoperative outpatients after general surgery, lower amounts of opioids were necessary when combined with courses of ibuprofen or ACET. Additionally, Hamrick et al12 notes that when multimodal pain management is used properly, opioid use can be reduced without compromising any patient comfort. Gessner et al34 reviewed several multimodal pain management strategies including NSAID use. This literature recognizes that opioids may not be the most effective, although very cost effective, for ‘poly-trauma’. They instead claim that multimodal pain management can provide a higher standard of comfort so long as the prescriber is well versed in pain management and the care is personalized to each patient.

    Limitations

    This study has a number of limitations. It is retrospective and we did not record pain scores. We did not perform a power analysis and are likely underpowered to show differences between injury cohorts or age groups due to small numbers. We were unable to record all of the DC medications; as some non-opioid agents are available over the counter, it is possible that medications were recommended but not specifically prescribed. We also have no information regarding the number of OMEs that were used after DC.

    The choice of OME72 as our primary outcome was somewhat subjective. We considered various alternatives to presenting the data, including OME for the entire hospital stay; average per day; and OME on the final day of hospital stay. We felt that a 3-day average would be the best of the options for a number of reasons. Compared with total OME, it would avoid major differences based on LOS variability. Compared with overall average per day, looking at the last 72 hours of hospitalization de-emphasized the immediate postoperative dosing, which might include more intravenous opioids and less oral non-opioid medications; we also felt it would better reflect the ‘steady-state’ amount that we were giving as the patient approached DC, allowing us to get a handle on the transition from inpatient to outpatient prescription. Compared with just looking at the final day, we wanted to avoid variation due to time-of-day DC (eg, a patient discharged at 10:00 hours vs 18:00 hours would likely have different OME given).

    Conclusions

    Patients with different injury types appear to have varied opioid requirements. Opioid DC prescribing does not correlate with actual opioid usage during the 72 hours prior to DC. Paradoxically, OMEDC tends to be higher among females, patients with ISS <16, and those with rib fractures, despite a tendency toward lower OME72 usage among these groups. ACET, NSAIDs and GABA are underused. These findings highlight opportunities for improvement and further study.

    In recent years, federal and state legislations have stepped in to propose strategies of bringing some control to opioid access. This ultimately places the prescriber in control of limiting the amount of opioids prescribed for a given injury. The Food and Drug Administration has been forthcoming with their stance on opioid control and have stated that the epidemic will continue to grow unless there is a drastic change in clinician prescribing patterns.

    Supplemental material

    Data availability statement

    No data are available.

    Ethics statements

    Patient consent for publication

    Ethics approval

    This study involves human participants and was approved by Scripps Institutional Review Board (IRB-18-7283).

    References

    1. ↵
      1. U.S. Department of Health and Human Services
      . HHS Acting Secretary Declares Public Health Emergency to Address National Opioid Crisis. https://public3.pagefreezer.com/browse/HHS.gov/31-12-2020T08:51/https://www.hhs.gov/about/news/2017/10/26/hhs-acting-secretary-declares-public-health-emergency-address-national-opioid-crisis.html (20 Apr 2021).
    2. ↵
      1. Centers for Disease Control and Prevention
      . Opioid overdose: understanding the epidemic. https://www.cdc.gov/drugoverdose/epidemic/index.html (20 Apr 2021).
    3. ↵
      1. Centers for Disease Control and Prevention
      . About the opioid epidemic. https://www.cdc.gov/opioids/about-the-epidemic/index.html (11 May 2021).
    4. ↵
      1. Fiore K
      . Opioid crisis: Scrap pain as 5th vital sign? Medpage Today, April 13. 2016. https://www.medpagetoday.com/publichealthpolicy/publichealth/57336 (20 Apr 2021).
    5. ↵
      1. Chang AK,
      2. Bijur PE,
      3. Esses D,
      4. Barnaby DP,
      5. Baer J
      . Effect of a single dose of oral opioid and nonopioid analgesics on acute extremity pain in the emergency department: a randomized clinical trial. JAMA 2017;318:1661–7.doi:10.1001/jama.2017.16190pmid:http://www.ncbi.nlm.nih.gov/pubmed/29114833
      OpenUrlPubMed
    6. ↵
      1. Ruder J,
      2. Wally MK,
      3. Oliverio M,
      4. Seymour RB,
      5. Hsu JR, . PRIMUM Group
      . Patterns of opioid prescribing for an orthopaedic trauma population. J Orthop Trauma 2017;31:e179–85.doi:10.1097/BOT.0000000000000834pmid:http://www.ncbi.nlm.nih.gov/pubmed/28538457
      OpenUrlPubMed
    7. ↵
      1. Thiels CA,
      2. Anderson SS,
      3. Ubl DS,
      4. Hanson KT,
      5. Bergquist WJ,
      6. Gray RJ,
      7. Gazelka HM,
      8. Cima RR,
      9. Habermann EB
      . Wide variation and Overprescription of opioids after elective surgery. Ann Surg 2017;266:564–73.doi:10.1097/SLA.0000000000002365pmid:http://www.ncbi.nlm.nih.gov/pubmed/28697049
      OpenUrlCrossRefPubMed
    8. ↵
      1. Hill MV,
      2. McMahon ML,
      3. Stucke RS,
      4. Barth RJ
      . Wide variation and excessive dosage of opioid prescriptions for common general surgical procedures. Ann Surg 2017;265:709–14.doi:10.1097/SLA.0000000000001993pmid:http://www.ncbi.nlm.nih.gov/pubmed/27631771
      OpenUrlCrossRefPubMed
    9. ↵
      1. Eid AI,
      2. DePesa C,
      3. Nordestgaard AT,
      4. Kongkaewpaisan N,
      5. Lee JM,
      6. Kongwibulwut M,
      7. Han K,
      8. Mendoza A,
      9. Rosenthal M,
      10. Saillant N, et al
      . Variation of opioid prescribing patterns among patients undergoing similar surgery on the same acute care surgery service of the same institution: time for standardization? Surgery 2018;164:926–30.doi:10.1016/j.surg.2018.05.047pmid:http://www.ncbi.nlm.nih.gov/pubmed/30049481
      OpenUrlPubMed
    10. ↵
      1. Harvin JA,
      2. Green CE,
      3. Vincent LE,
      4. Motley KL,
      5. Podbielski J,
      6. Miller CC,
      7. Tyson JE,
      8. Holcomb JB,
      9. Wade CE,
      10. Kao LS
      . Opioid exposure after injury in United States trauma centers: a prospective, multicenter observational study. Trauma Surg Acute Care Open 2018;32018:e000192.
      OpenUrl
    11. ↵
      1. Harvin JA,
      2. Truong VTT,
      3. Green CE,
      4. Allen L,
      5. Murry J,
      6. Radosevich JJ,
      7. Bogert JN,
      8. Murphy PB,
      9. Padilla-Jones BB,
      10. Zarzaur BL, et al
      . Opioid exposure after injury in United States trauma centers: a prospective, multicenter observational study. J Trauma Acute Care Surg 2020;88:816–24. Jun.doi:10.1097/TA.0000000000002679pmid:http://www.ncbi.nlm.nih.gov/pubmed/32459447
      OpenUrlPubMed
    12. ↵
      1. Hamrick KL,
      2. Beyer CA,
      3. Lee JA,
      4. Cocanour CS,
      5. Duby JJ
      . Multimodal analgesia and opioid use in critically ill trauma patients. J Am Coll Surg 2019;228:769–75.doi:10.1016/j.jamcollsurg.2019.01.020pmid:http://www.ncbi.nlm.nih.gov/pubmed/30797081
      OpenUrlPubMed
    13. ↵
      1. Harvin JA,
      2. Albarado R,
      3. Truong VTT,
      4. Green C,
      5. Tyson JE,
      6. Pedroza C,
      7. Wade CE,
      8. Kao LS, . MAST Study Group
      . Multi-Modal analgesic strategy for trauma: a pragmatic randomized clinical trial. J Am Coll Surg 2021;232:241–51.doi:10.1016/j.jamcollsurg.2020.12.014pmid:http://www.ncbi.nlm.nih.gov/pubmed/33486130
      OpenUrlPubMed
    14. ↵
      1. Oyler D,
      2. Bernard AC,
      3. VanHoose JD,
      4. Parli SE,
      5. Ellis CS,
      6. Li D,
      7. Procter LD,
      8. Chang PK
      . Minimizing opioid use after acute major trauma. Am J Health Syst Pharm 2018;75:105–10.doi:10.2146/ajhp161021pmid:http://www.ncbi.nlm.nih.gov/pubmed/29371190
      OpenUrlAbstract/FREE Full Text
    15. ↵
      1. Hatton GE,
      2. Kregel HR,
      3. Pedroza C,
      4. Puzio TJ,
      5. Adams SD,
      6. Wade CE,
      7. Kao LS,
      8. Harvin JA
      . Age-Related opioid exposure in trauma: a secondary analysis of the multimodal analgesia strategies for trauma (mast) randomized trial. Ann Surg 2021;274:565–71.doi:10.1097/SLA.0000000000005065pmid:http://www.ncbi.nlm.nih.gov/pubmed/34506311
      OpenUrlPubMed
    16. ↵
      1. Galvagno SM,
      2. Smith CE,
      3. Varon AJ,
      4. Hasenboehler EA,
      5. Sultan S,
      6. Shaefer G,
      7. To KB,
      8. Fox AD,
      9. Alley DER,
      10. Ditillo M, et al
      . Pain management for blunt thoracic trauma: a joint practice management guideline from the eastern association for the surgery of trauma and trauma anesthesiology Society. J Trauma Acute Care Surg 2016;81:936–51.doi:10.1097/TA.0000000000001209pmid:http://www.ncbi.nlm.nih.gov/pubmed/27533913
      OpenUrlPubMed
    17. ↵
      1. Brasel KJ,
      2. Moore EE,
      3. Albrecht RA,
      4. deMoya M,
      5. Schreiber M,
      6. Karmy-Jones R,
      7. Rowell S,
      8. Namias N,
      9. Cohen M,
      10. Shatz DV, et al
      . Western trauma association critical decisions in trauma: management of rib fractures. J Trauma Acute Care Surg 2017;82:200–3.doi:10.1097/TA.0000000000001301pmid:http://www.ncbi.nlm.nih.gov/pubmed/27779590
      OpenUrlPubMed
    18. ↵
      1. Zhang DDQ,
      2. Dossa F,
      3. Arora A,
      4. Cusimano MC,
      5. Speller B,
      6. Little T,
      7. Ladha K,
      8. Brar S,
      9. Urbach DR,
      10. Tricco AC, et al
      . Recommendations for the prescription of opioids at discharge after abdominopelvic surgery: a systematic review. JAMA Surg 2020;155:420–9.doi:10.1001/jamasurg.2019.5875pmid:http://www.ncbi.nlm.nih.gov/pubmed/32159738
      OpenUrlPubMed
    19. ↵
      1. Pelaez CA,
      2. Davis JW,
      3. Spilman SK,
      4. Guzzo HM,
      5. Wetjen KM,
      6. Randell KA,
      7. Ortega HW,
      8. Pitcher GJ,
      9. Kenardy J,
      10. Ramirez MR
      . Who hurts more? A multicenter prospective study of in-hospital opioid use in pediatric trauma patients in the Midwest. J Am Coll Surg 2019;229:404–14.doi:10.1016/j.jamcollsurg.2019.05.021pmid:http://www.ncbi.nlm.nih.gov/pubmed/31125609
      OpenUrlPubMed
    20. ↵
      1. Bhashyam AR,
      2. Basilico M,
      3. Weaver MJ,
      4. Harris MB,
      5. Heng M
      . Using historical variation in opioid prescribing immediately after fracture surgery to guide maximum initial prescriptions. J Orthop Trauma 2019;33:e131–6.doi:10.1097/BOT.0000000000001392pmid:http://www.ncbi.nlm.nih.gov/pubmed/30570619
      OpenUrlPubMed
    21. ↵
      1. Powelson EB,
      2. Mills B,
      3. Henderson-Drager W,
      4. Boyd M,
      5. Vavilala MS,
      6. Curatolo M
      . Predicting chronic pain after major traumatic injury. Scand J Pain 2019;19:453–64.doi:10.1515/sjpain-2019-0040pmid:http://www.ncbi.nlm.nih.gov/pubmed/31116704
      OpenUrlPubMed
    22. ↵
      1. Hsu JR,
      2. Mir H,
      3. Wally MK,
      4. Seymour RB. Orthopaedic Trauma Association Musculoskeletal Pain Task Force
      . Orthopaedic trauma association musculoskeletal pain Task force. clinical practice guidelines for pain management in acute musculoskeletal injury. J Orthop Trauma 2019;33:e158–82.doi:10.1097/BOT.0000000000001430
      OpenUrlPubMed
    23. ↵
      1. Warner NS,
      2. Finnie D,
      3. Warner DO,
      4. Hooten WM,
      5. Mauck KF,
      6. Cunningham JL,
      7. Gazelka H,
      8. Bydon M,
      9. Huddleston PM,
      10. Habermann EB
      . The system is broken: a qualitative assessment of opioid prescribing practices after spine surgery. Mayo Clin Proc 2020;95:1906–15.doi:10.1016/j.mayocp.2020.02.027pmid:http://www.ncbi.nlm.nih.gov/pubmed/32736943
      OpenUrlPubMed
    24. ↵
      1. Chapman CG,
      2. Hudspeth J,
      3. Floyd SB,
      4. Carnahan R,
      5. Thigpen CA,
      6. Kissenberth MJ
      . Increased opioid use following rotator cuff repair associated with prior opioid use and surgeon prescription patterns. J Shoulder Elbow Surg 2020;29:S115–25.doi:10.1016/j.jse.2020.04.037pmid:http://www.ncbi.nlm.nih.gov/pubmed/32646593
      OpenUrlPubMed
    25. ↵
      1. Lozada MJ,
      2. Raji MA,
      3. Goodwin JS,
      4. Kuo Y-F
      . Opioid prescribing by primary care providers: a cross-sectional analysis of nurse practitioner, physician assistant, and physician prescribing patterns. J Gen Intern Med 2020;35:2584–92.doi:10.1007/s11606-020-05823-0pmid:http://www.ncbi.nlm.nih.gov/pubmed/32333312
      OpenUrlPubMed
    26. ↵
      1. Yang BK,
      2. Storr CL,
      3. Trinkoff AM,
      4. Sohn M,
      5. Idzik SK,
      6. McKinnon M
      . National opioid prescribing trends in emergency departments by provider type: 2005-2015. Am J Emerg Med 2019;37:1439–45.doi:10.1016/j.ajem.2018.10.041pmid:http://www.ncbi.nlm.nih.gov/pubmed/30377010
      OpenUrlPubMed
    27. ↵
      1. Bhashyam AR,
      2. Young J,
      3. Qudsi RA,
      4. Parisien RL,
      5. Dyer GSM
      . Opioid prescribing patterns of orthopedic surgery residents after open reduction internal fixation of distal radius fractures. J Hand Surg Am 2019;44:201–7.doi:10.1016/j.jhsa.2018.11.003pmid:http://www.ncbi.nlm.nih.gov/pubmed/30635200
      OpenUrlPubMed
    28. ↵
      1. Hall DJ,
      2. Mira JC,
      3. Hoffman MR,
      4. Keshava HB,
      5. Olsen KR,
      6. Hardaway JC,
      7. Underwood PW,
      8. Hawley KL,
      9. Turner PL,
      10. Antony AB, et al
      . Postoperative surgical trainee opioid prescribing practices (POST-OPP): a national survey. J Opioid Manag 2019 ;;15:307–22.doi:10.5055/jom.2019.0516pmid:http://www.ncbi.nlm.nih.gov/pubmed/31637683
      OpenUrlPubMed
    29. ↵
      1. Chiu AS,
      2. Ahle SL,
      3. Freedman-Weiss MR,
      4. Yoo PS,
      5. Pei KY
      . The impact of a curriculum on postoperative opioid prescribing for novice surgical trainees. Am J Surg 2019;217:228–32.doi:10.1016/j.amjsurg.2018.08.007pmid:http://www.ncbi.nlm.nih.gov/pubmed/30180937
      OpenUrlPubMed
    30. ↵
      1. Fandino LB,
      2. Bhashyam A,
      3. Harris MB,
      4. Zhang D
      . Factors associated with discharge opioid prescription after hip fracture fixation. Musculoskeletal Care 2020;18:352–8.doi:10.1002/msc.1466pmid:http://www.ncbi.nlm.nih.gov/pubmed/32202702
      OpenUrlPubMed
    31. ↵
      1. Hassan MK,
      2. Karlock LG
      . The effect of post-operative NSAID administration on bone healing after elective foot and ankle surgery. Foot Ankle Surg 2020;26:457–63.doi:10.1016/j.fas.2019.05.016pmid:http://www.ncbi.nlm.nih.gov/pubmed/31196697
      OpenUrlPubMed
    32. ↵
      1. Fader L,
      2. Whitaker J,
      3. Lopez M,
      4. Vivace B,
      5. Parra M,
      6. Carlson J,
      7. Zamora R
      . Tibia fractures and NSAIDs. does it make a difference? A multicenter retrospective study. Injury 2018;49:2290–4.doi:10.1016/j.injury.2018.09.024pmid:http://www.ncbi.nlm.nih.gov/pubmed/30270011
      OpenUrlPubMed
    33. ↵
      1. Sim V,
      2. Hawkins S,
      3. Gave AA,
      4. Bulanov A,
      5. Elabbasy F,
      6. Khoury L,
      7. Panzo M,
      8. Sim E,
      9. Cohn S
      . How low can you go: achieving postoperative outpatient pain control without opioids. J Trauma Acute Care Surg 2019;87:100–3.doi:10.1097/TA.0000000000002295pmid:http://www.ncbi.nlm.nih.gov/pubmed/31259870
      OpenUrlPubMed
    34. ↵
      1. Gessner DM,
      2. Horn J-L,
      3. Lowenberg DW
      . Pain management in the orthopaedic trauma patient: non-opioid solutions. Injury 2020;51 Suppl 2:S28–36.doi:10.1016/j.injury.2019.04.008pmid:http://www.ncbi.nlm.nih.gov/pubmed/31079833
      OpenUrlPubMed

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    • Presented at AAST poster presentation.

    • Contributors The corresponding author (WLB) is the guarantor of this work. All authors have made substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; drafting the work or revising it critically for important intellectual content; final approval of the version to be published; agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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