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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.
RESUMO
BACKGROUND: Overtriage of trauma patients is unavoidable and requires effective use of hospital resources. A 'pit stop' (PS) was added to our lowest tier trauma resource (TR) triage protocol where the patient stops in the trauma bay for immediate evaluation by the emergency department (ED) physician and trauma nursing. We hypothesized this would allow for faster diagnostic testing and disposition while decreasing cost. METHODS: We performed a before/after retrospective comparison after PS implementation. Patients not meeting trauma activation (TA) criteria but requiring trauma center evaluation were assigned as a TR for an expedited PS evaluation. A board-certified ED physician and trauma/ED nurse performed an immediate assessment in the trauma bay followed by performance of diagnostic studies. Trauma surgeons were readily available in case of upgrade to TA. We compared patient demographics, Injury Severity Score, time to physician evaluation, time to CT scan, hospital length of stay, and in-hospital mortality. Comparisons were made using 95% CI for variance and SD and unpaired t-tests for two-tailed p values, with statistical difference, p<0.05. RESULTS: There were 994 TAs and 474 TRs in the first 9 months after implementation. TR's preanalysis versus postanalysis of the TR group shows similar mean door to physician evaluation times (6.9 vs. 8.6 minutes, p=0.1084). Mean door to CT time significantly decreased (67.7 vs. 50 minutes, p<0.001). 346 (73%) TR patients were discharged from ED; 2 (0.4%) were upgraded on arrival. When admitted, TR patients were older (61.4 vs. 47.2 years, p<0.0001) and more often involved in a same-level fall (59.5% vs. 20.1%, p<0.0001). Undertriage was calculated using the Cribari matrix at 3.2%. DISCUSSION: PS implementation allowed for faster door to CT time for trauma patients not meeting activation criteria without mobilizing trauma team resources. This approach is safe, feasible, and simultaneously decreases hospital cost while improving allocation of trauma team resources. LEVEL OF EVIDENCE: Level II, economic/decision therapeutic/care management study.