| Literature DB >> 31058238 |
Jamie E Anderson1, Christine S Cocanour1, Joseph M Galante1.
Abstract
INTRODUCTION: Confronted with the opioid epidemic, surgeons must play a larger role to reduce risk of opioid abuse while managing acute pain. Having a better understanding of the beliefs and practices of trauma and acute care surgeons regarding discharge pain management may offer potential targets for interventions beyond fixed legal mandates.Entities:
Keywords: opioid; opioid dependence; pain management; trauma systems and outcomes
Year: 2019 PMID: 31058238 PMCID: PMC6461144 DOI: 10.1136/tsaco-2018-000255
Source DB: PubMed Journal: Trauma Surg Acute Care Open ISSN: 2397-5776
Survey participants
| Total=66 | |
| Gender, n (%) | |
| Female | 17 (25.8) |
| Male | 48 (72.7) |
| Other/prefer not to state | 1 (1.5) |
| Provider type, n (%) | |
| Surgeon | 61 (92.4) |
| Nurse practitioner | 5 (7.6) |
| Years in practice, n (%) | |
| <5 | 2 (3.0) |
| 5–9 | 11 (16.7) |
| 10–14 | 12 (18.2 |
| 15–19 | 9 (13.6) |
| 20–24 | 8 (12.1) |
| 25–29 | 8 (12.1) |
| 30+ | 16 (24.2) |
| Type of practice, n (%) | |
| Academic | 58 (87.9) |
| Private/community | 8 (12.1) |
Number of opioids and non-opioid pain medications typically prescribed at time of discharge after each clinical scenario
| Elective laparoscopic cholecystectomy | Emergent sigmoidectomy | Negative exploratory laparotomy | Four unilateral rib fractures | ||
| Opioids | Number of providers who prescribed opioids (%) | 56 (84.8) | 49 (74.2) | 55 (83.3) | 57 (86.4) |
| Number of providers who prescribed only opioids (% among those who prescribed opioids) | 43 (76.8) | 33 (67.3) | 41 (74.5) | 39 (68.4) | |
| Number of tabs prescribed, mean (range) | 20 (3–40) | 30 (10–60) | 30 (10–60) | 30 (5–90) | |
| Number of refills, mean (range) | 0 (0–1) | 0 (0–1) | 0 (0–1) | 0 (0–2) | |
| Non-opioids | Number of providers who prescribed non-opioids (%) | 15 (22.7) | 18 (27.3) | 16 (24.2) | 20 (30.3) |
| Number of providers who prescribed only non-opioids (% among those who prescribed non-opioids) | 2 (13.3) | 2 (11.1) | 2 (12.5) | 2 (10.0) | |
| Number of tablets prescribed, mean (range) | 30 (10–60) | 35 (7–90) | 42.5 (20–90) | 47.5 (21–90) | |
| Number of refills, mean (range) | 0 (0–3) | 0 (0–3) | 0 (0–3) | 0 (0–3) | |
| Both | Number of providers who prescribed both opioids and non-opioids (%) | 13 (22.4) | 16 (31.4) | 14 (24.6) | 18 (30.5) |
Anticipated length of postoperative acute pain that would best be managed with opioids (n=total number of respondents)
| Elective laparoscopic cholecystectomy (n=65) | Emergent sigmoidectomy (n=65) | Negative exploratory laparotomy (n=64) | Four unilateral rib fractures (n=55) | |
| 0–3 days, n (%) | 44 (67.7) | 2 (3.1) | 8 (12.5) | 7 (10.8) |
| 4–7 days, n (%) | 20 (30.8) | 5 (7.7) | 2 (3.1) | 9 (13.9) |
| 8–14 days, n (%) | 1 (1.5) | 30 (46.2) | 29 (45.3) | 29 (44.6) |
| 15–21 days, n (%) | 0 (0) | 28 (43.1) | 25 (39.1) | 2 (18.5) |
| 22–30 days, n (%) | 0 (0) | 0 (0) | 0 (0) | 5 (7.7) |
| 31–60 days, n (%) | 0 (0) | 0 (0) | 0 (0) | 2 (3.1) |
| >60 days, n (%) | 0 (0) | 0 (0) | 0 (0) | 1 (1.5) |
If your patient who underwent an elective laparoscopic cholecystectomy was using opioid pain medication regularly prior to their operation, how would this change the opioid and non-opioid medications you would prescribe?
| Opioids | Non-opioids | |||
| Increase | No change | Increase | No change | |
| Number or strength of medications, n (%) | 11 (16.9) | 45 (69.2) | 21 (35.0) | 33 (55.0) |
| Dose of medications, n (%) | 30 (46.2) | 35 (53.9) | 18 (31.6) | 39 (68.4) |
| Number of tablets, n (%) | 11 (16.9) | 54 (83.1) | 17 (30.4) | 39 (69.6) |
What factors make you more likely to prescribe more or less opioids? Choose up to three (Bold indicates top three)
| Factors that make you more likely to prescribe | Factors that make you more likely to prescribe | |
| n (%) | n (%) | |
| None, I always prescribe the same amount | 9 (6.5) | 8 (4.7) |
| Anticipated delay in time to follow-up | 10 (7.2) | 1 (0.6) |
| Patient lives far away |
| 1 (0.6) |
| Younger | 4 (2.9) | 4 (2.3) |
| Older | N/A—not an option |
|
| Frail | N/A —not an option |
|
| Low body mass index | 0 (0) |
|
| High body mass index | 5 (3.6) | 0 (0) |
| High opioid use in the hospital |
| 1 (0.6) |
| History of opioid use/abuse |
| 10 (5.8) |
| History of drug/alcohol abuse | 4 (2.9) |
|
| History of depression/anxiety | 2 (1.4) | 11 (6.4) |
| History of other psychiatric disorders | 0 (0) | 9 (5.2) |
| Patient request | 0 (0) | 10 (5.8) |
| Other: injury pattern | 4 (2.9) | N/A—not an option |
| Other: low opioid use in hospital | N/A—not an option | 4 (2.3) |
| Other | 4 (2.9) | 5 (2.9) |
Investigating history of opioid/narcotic use and creating pain contracts
| How often do you: | Always (%) | Often (%) | Sometimes (%) | Rarely (%) | Never (%) |
| Ask patients about their previous experience with opioids (ie, if they have used or abused opioids)? (n=66) | 29 (43.9) | 23 (34.9) | 5 (7.6) | 9 (13.6) | 0 (0) |
| Create pain contracts with patients? (n=66) | 3 (4.5) | 1 (1.5) | 14 (21.2) | 38 (57.6) | 10 (15.2) |
| Use a prescription history database, such as the CURES 2.0 system in California, when considering the pain control plan for a patient? (n=66) | 14 (21.2) | 11 (16.7) | 16 (24.2) | 15 (22.7) | 10 (15.2) |
CURES, Controlled Substance Utilization Review and Evaluation System.