Triage patterns for medicare patients presenting to nontrauma hospitals with moderate or severe injuries

A proposed method for identifying Interfacility transfers in Medicare claims data

OBJECTIVE

To develop a method of consistently identifying interfacility transfers (IFTs) in Medicare Claims using patients with ST-Elevation Myocardial Infarction (STEMI) as an example.

DATA SOURCES/STUDY SETTING

100% Medicare inpatient and outpatient Standard Analytic Files and 5% Carrier Files, 2011-2020.

STUDY DESIGN

Observational, cross-sectional comparison of patient characteristics between proposed and existing methods.

DATA COLLECTION/EXTRACTION METHODS

We limited to patients aged 65+ with STEMI diagnosis using both proposed and existing methods.

PRINCIPAL FINDINGS

We identified 62,668 more IFTs using the proposed method (86,128 versus 23,460). A separately billable interfacility ambulance trip was found for more IFTs using the proposed than existing method (86% vs. 79%). Compared with the existing method, transferred patients under the proposed method were more likely to live in rural (p < 0.001) and lower income (p < 0.001) counties and were located farther away from emergency departments, trauma centers, and intensive care units (p < 0.001).

CONCLUSIONS

Identifying transferred patients based on two consecutive inpatient claims results in an undercount of IFTs and under-represents rural and low-income patients.

Inside the Black Box of Deliberate Practice: How do Coaches Coach to Improve Trauma Triage

INTRODUCTION

Deliberate practice, goal-oriented training with feedback from a coach, is a common tool for improving physicians' performance. However, little is known about how coaches foster performance improvement.

METHODS

A content analysis of video-recorded training sessions was performed to analyze the coaches' behaviors during a pilot randomized trial of deliberate practice in trauma triage. The intervention consisted of three video-conference sessions during which trial physicians, under the supervision of a coach, played a customized video game designed to review trauma triage principles. A multidisciplinary team specified tasks (e.g., create collaborative learning environment) that coaches should complete, and suggested 19 coaching strategies (e.g., encourage culture of error) to allow execution of these tasks. Two independent raters translated those strategies into a coding framework and applied it deductively to the recorded sessions. The frequencies of the coaching strategies were summarized, and tested for variation across coaches and time.

RESULTS

Thirty physicians received the intervention across two 1-mo blocks. Most (28 [93%]) completed three sessions, each covering two (interquartile range 1-2) triage principles. Coaches used coaching strategies 18 (interquartile range 14.5-22) times per triage principle, using some often (2-3 times/principle) and others infrequently (<1 time/principle). The three coaches used similar numbers (20 versus 16 versus 18.5, P = 0.07) and types of strategies. However, use increased over time (16.8 [Block 1] versus 20 [Block 2] P = 0.018).

CONCLUSIONS

Coaches used 19 coaching strategies to deliver this deliberate practice intervention, with behavior that evolved over time. Future trials should isolate the most potent strategies and should assess the best method of standardizing coaching.

Using a theory-based, customized video game as an educational tool to improve physicians' trauma triage decisions: study protocol for a randomized cluster trial

BACKGROUND

Transfer of severely injured patients to trauma centers, either directly from the field or after evaluation at non-trauma centers, reduces preventable morbidity and mortality. Failure to transfer these patients appropriately (i.e., under-triage) remains common, and occurs in part because physicians at non-trauma centers make diagnostic errors when evaluating the severity of patients' injuries. We developed Night Shift, a theory-based adventure video game, to recalibrate physician heuristics (intuitive judgments) in trauma triage and established its efficacy in the laboratory. We plan a type 1 hybrid effectiveness-implementation trial to determine whether the game changes physician triage decisions in real-life and hypothesize that it will reduce the proportion of patients under-triaged.

METHODS

We will recruit 800 physicians who work in the emergency departments (EDs) of non-trauma centers in the US and will randomize them to the game (intervention) or to usual education and training (control). We will ask those in the intervention group to play Night Shift for 2 h within 2 weeks of enrollment and again for 20 min at quarterly intervals. Those in the control group will receive only usual education (i.e., nothing supplemental). We will then assess physicians' triage practices for older, severely injured adults in the 1-year following enrollment, using Medicare claims, and will compare under-triage (primary outcome), 30-day mortality and re-admissions, functional independence, and over-triage between the two groups. We will evaluate contextual factors influencing reach, adoption, implementation, and maintenance with interviews of a subset of trial participants (n = 20) and of other key decision makers (e.g., patients, first responders, administrators [n = 100]).

DISCUSSION

The results of the trial will inform future efforts to improve the implementation of clinical practice guidelines in trauma triage and will provide deeper understanding of effective strategies to reduce diagnostic errors during time-sensitive decision making.

TRIAL REGISTRATION

ClinicalTrials.gov; NCT06063434 . Registered 26 September 2023.

Testing the feasibility, acceptability, and preliminary effect of a novel deliberate practice intervention to reduce diagnostic error in trauma triage: a study protocol for a randomized pilot trial

BACKGROUND

Non-compliance with clinical practice guidelines in trauma remains common, in part because physicians make diagnostic errors when triaging injured patients. Deliberate practice, purposeful participation in a training task under the oversight of a coach, effectively changes behavior in procedural domains of medicine but has rarely been used to improve diagnostic skill. We plan a pilot parallel randomized trial to test the feasibility, acceptability, and preliminary effect of a novel deliberate practice intervention to reduce physician diagnostic errors in trauma triage.

METHODS

We will randomize a national convenience sample of physicians who work at non-trauma centers (n = 60) in a 1:1 ratio to a deliberate practice intervention or to a passive control. We will use a customized, theory-based serious video game as the basis of our training task, selected based on its behavior change techniques and game mechanics, along with a coaching manual to standardize the fidelity of the intervention delivery. The intervention consists of three 30-min sessions with content experts (coaches), conducted remotely, during which physicians (trainees) play the game and receive feedback on their diagnostic processes. We will assess (a) the fidelity with which the intervention is delivered by reviewing video recordings of the coaching sessions; (b) the acceptability of the intervention through surveys and semi-structured interviews, and (c) the effect of the intervention by comparing the performance of trainees and a control group of physicians on a validated virtual simulation. We hypothesize that trainees will make ≥ 25% fewer diagnostic errors on the simulation than control physicians, a large effect size. We additionally hypothesize that ≥ 90% of trainees will receive their intervention as planned.

CONCLUSIONS

The results of the trial will inform the decision to proceed with a future hybrid effectiveness-implementation trial of the intervention. It will also provide a deeper understanding of the challenges of using deliberate practice to modify the diagnostic skill of physicians.

TRIAL REGISTRATION

Clinical trials.gov ( NCT05168579 ); 23 December 2021.

Potential bypassing of nearest emergency department by EMS transports

OBJECTIVE

Guidelines recommend emergency medical services (EMS) patients to be transported to the nearest appropriate emergency department (ED). Our objective was to estimate the prevalence of EMS transport to an ED other than the nearest ED ("potential bypassing").

DATA SOURCES

Illinois Prehospital Patient Care Report Data of EMS transports (July 2019 to December 2019).

DATA COLLECTION/EXTRACTION METHODS

We identified all EMS ground transports with an advanced life-support (ALS) paramedic to an ED for patients aged 21 years and older. Using street address of incident location, we performed geocoding and driving route analyses and obtained estimated driving distance and time to the destination ED and alternative EDs.

MAIN OUTCOME AND MEASURES

Our main outcomes were dichotomous indicators of potential bypassing of the nearest ED based on distance and time. As secondary outcomes we examined potential bypassing indicators based on excess driving distance and time.

STUDY DESIGN

We used Poisson regression models to obtain adjusted relative rates of potential bypassing indicators by acuity level, primary impression, patient demographics and geographic characteristics.

PRINCIPAL FINDINGS

Our study cohort of 361,051 EMS transports consisted of 5.8% critical, 37.2% emergent and 57.0% low acuity cases transported to 222 EDs. The observed rate of potential bypassing was approximately 34% of cases for each acuity level. Treating the cardiovascular primary impression code group as the reference case, we found small to no differences in potential bypassing rates across other primary impression code groups of all acuity levels, with the exception of critical acuity trauma cases for which potential bypassing rate was 64% higher (incidence rate ratio = 1.64, 95% confidence interval, 1.54-1.74). Compared to zip codes with one ED within a 5-mile vicinity, potential bypassing was higher in areas with no ED or multiple EDs within a 5-mile vicinity.

CONCLUSION

Approximately one-third of EMS transports potentially bypassed the nearest ED. EMS transport destination may be motivated by factors other than proximity.

Undertriage after severe injury among United States trauma centers and the impact on mortality

INTRODUCTION

Severely injured patients should receive definitive care at high acuity trauma centers. The purposes of this study were to determine the undertriage (UT) rate within a national sample of trauma centers and to identify characteristics of UT patients.

METHODS

Severely injured adults ≥16 years were identified from the 2010-2012 NTDB. UT was defined as those who received definitive care or died at hospitals without state or ACS level I or II verification. Risk factors for UTT and the impact of UT on mortality were determined.

RESULTS

Of 348,394 severely injured patients, 11,578 (3.3%) were UT. Older, less severely injured, and certain minority patients were most likely to be UT. After risk adjustment, predictors of UT included increased age and minority race. Increased injury severity and comorbidity were protective (all p < .05). Mortality was greater in UT patients regardless of ISS (OR = 1.32, p < .001).

CONCLUSION

The low UT rate in this study demonstrates the effectiveness of triage practices amongst ACS and state verified centers however age, race, and insurance disparities in UT should be improved.

Serious games may improve physician heuristics in trauma triage

Trauma triage depends on fallible human judgment. We created two "serious" video game training interventions to improve that judgment. The interventions' central theoretical construct was the representativeness heuristic, which, in trauma triage, would mean judging the severity of an injury by how well it captures (or "represents") the key features of archetypes of cases requiring transfer to a trauma center. Drawing on clinical experience, medical records, and an expert panel, we identified features characteristic of representative and nonrepresentative cases. The two interventions instantiated both kinds of cases. One was an adventure game, seeking narrative engagement; the second was a puzzle-based game, emphasizing analogical reasoning. Both incorporated feedback on diagnostic errors, explaining their sources and consequences. In a four-arm study, they were compared with an intervention using traditional text-based continuing medical education materials (active control) and a no-intervention (passive control) condition. A sample of 320 physicians working at nontrauma centers in the United States was recruited and randomized to a study arm. The primary outcome was performance on a validated virtual simulation, measured as the proportion of undertriaged patients, defined as ones who had severe injuries (according to American College of Surgeons guidelines) but were not transferred. Compared with the control group, physicians exposed to either game undertriaged fewer such patients [difference = -18%, 95% CI: -30 to -6%, P = 0.002 (adventure game); -17%, 95% CI: -28 to -6%, P = 0.003 (puzzle game)]; those exposed to the text-based education undertriaged similar proportions (difference = +8%, 95% CI: -3 to +19%, P = 0.15).

The Price of Always Saying Yes: A Cost Analysis of Secondary Overtriage to an Urban Level I Trauma Center

Level I trauma centers serve as a community resource, with most centers using an inclusive transfer policy that may result in overtriage. The financial burden this imparts on an urban trauma system has not been well examined. We sought to examine the incidence of secondary overtriage (SOT) at an urban Level I trauma center. This was a retrospective study from an urban Level I trauma center examining patients admitted as trauma transfers (TT) from 2010 to 2014. SOT was defined as patients not meeting the “Orange Book” transfer criteria and who had a length of stay of <48 hours. Average ED and transport charges were calculated for total transfer charges. A total of 2397 TT were treated. The number of TT increased over the study interval. The mean age of TT was 59.7 years (SD ± 26.4 years); patients were predominantly male (59.2%), white (83.2%), with at least one comorbidity (71.5%). Blunt trauma accounted for 96.8 per cent of admissions with a median Injury Severity Score of nine (IQR: 5–16). Predominant injuries were isolated closed head trauma (61.4%), skin/soft tissue injury (18.9%), and spinal injury (17.6%). SOT was 48.2 per cent and increased yearly (P < 0.001). The median trauma center charge for SOT was ($27,072; IQR: $20,089–34,087), whereas ED charges were ($40,440; IQR: $26,150–65,125), resulting in a total cost of $67,512/patient. A liberal TT policy results in a high SOT rate adding significant unnecessary costs to the health-care system. Efforts to establish transfer guidelines may allow for significant cost savings without compromising care.

Efficacy of educational video game versus traditional educational apps at improving physician decision making in trauma triage: randomized controlled trial

OBJECTIVE

To determine whether a behavioral intervention delivered through a video game can improve the appropriateness of trauma triage decisions in the emergency department of non-trauma centers.

DESIGN

Randomized clinical trial.

SETTING

Online intervention in national sample of emergency medicine physicians who make triage decisions at US hospitals.

PARTICIPANTS

368 emergency medicine physicians primarily working at non-trauma centers. A random sample (n=200) of those with primary outcome data was reassessed at six months.

INTERVENTIONS

Physicians were randomized in a 1:1 ratio to one hour of exposure to an adventure video game (Night Shift) or apps based on traditional didactic education (myATLS and Trauma Life Support MCQ Review), both on iPads. Night Shift was developed to recalibrate the process of using pattern recognition to recognize moderate-severe injuries (representativeness heuristics) through the use of stories to promote behavior change (narrative engagement). Physicians were randomized with a 2×2 factorial design to intervention (game v traditional education apps) and then to the experimental condition under which they completed the outcome assessment tool (low v high cognitive load). Blinding could not be maintained after allocation but group assignment was masked during the analysis phase.

MAIN OUTCOME MEASURES

Outcomes of a virtual simulation that included 10 cases; in four of these the patients had severe injuries. Participants completed the simulation within four weeks of their intervention. Decisions to admit, discharge, or transfer were measured. The proportion of patients under-triaged (patients with severe injuries not transferred to a trauma center) was calculated then (primary outcome) and again six months later, with a different set of cases (primary outcome of follow-up study). The secondary outcome was effect of cognitive load on under-triage.

RESULTS

149 (81%) physicians in the game arm and 148 (80%) in the traditional education arm completed the trial. Of these, 64/100 (64%) and 58/100 (58%), respectively, completed reassessment at six months. The mean age was 40 (SD 8.9), 283 (96%) were trained in emergency medicine, and 207 (70%) were ATLS (advanced trauma life support) certified. Physicians exposed to the game under-triaged fewer severely injured patients than those exposed to didactic education (316/596 (0.53) v 377/592 (0.64), estimated difference 0.11, 95% confidence interval 0.05 to 0.16; P<0.001). Cognitive load did not influence under-triage (161/308 (0.53) v 155/288 (0.54) in the game arm; 197/300 (0.66) v 180/292 (0.62) in the traditional educational apps arm; P=0.66). At six months, physicians exposed to the game remained less likely to under-triage patients (146/256 (0.57) v 172/232 (0.74), estimated difference 0.17, 0.09 to 0.25; P<0.001). No physician reported side effects. The sample might not reflect all emergency medicine physicians, and a small set of cases was used to assess performance.

CONCLUSIONS

Compared with apps based on traditional didactic education, exposure of physicians to a theoretically grounded video game improved triage decision making in a validated virtual simulation. Though the observed effect was large, the wide confidence intervals include the possibility of a small benefit, and the real world efficacy of this intervention remains uncertain.

TRIAL REGISTRATION

clinicaltrials.gov; NCT02857348 (initial study)/NCT03138304 (follow-up).

Factors Associated With Nontransfer in Trauma Patients Meeting American College of Surgeons' Criteria for Transfer at Nontertiary Centers

Importance

Secondary triage from nontertiary centers is vital to trauma system success. It remains unclear what factors are associated with nontransfer among patients who should be considered for transfer to facilities providing higher-level care.

Objective

To identify factors associated with nontransfer among patients meeting American College of Surgeons (ACS) guideline criteria for transfer from nontertiary centers.

Design, Setting, and Participants

A retrospective cohort study was performed using multilevel logistic regression to ascertain factors associated with nontransfer from nontertiary centers, including demographics, injury characteristics, and center resources. With information obtained from the National Trauma Data Bank (January 1, 2007, to December 31, 2012), relative proportion of variance in outcome across centers was determined for patient-level and center-level attributes. In all, 96 528 patients taken to nontertiary centers (levels III, IV, V, and nontrauma centers) that met ACS guideline transfer criteria were eligible for inclusion. Data analysis was performed from March 17, 2016, to May 20, 2016.

Main Outcomes and Measures

The primary outcome was nontransfer from a nontertiary center.

Results

Among 96 528 patients meeting ACS guideline criteria for transfer taken initially to nontertiary centers, 55 611 (57.6%) were male and the median age was 52 years (interquartile range, 28-77 years). Only 19 396 patients (20.1%) underwent transfer. Patient-level factors associated with nontransfer included age older than 65 years (adjusted odds ratio [AOR], 1.70; 95% CI, 1.46-1.98; P < .001), severe chest injury (AOR, 1.63; 95% CI, 1.42-1.89; P < .001), and commercial insurance (vs self-pay: AOR, 1.39; 95% CI, 1.15-1.67; P < .001). Center-level factors associated with nontransfer included larger bed size (>600 vs <200 beds: AOR, 9.22; 95% CI, 7.70-11.05; P < .001), nontrauma center (vs level III centers: AOR, 2.71; 95% CI, 2.44-3.01; P < .001), university affiliation (vs community: AOR, 9.68; 95% CI, 8.03-11.66; P < .001), more trauma surgeons (per surgeon: AOR, 1.08; 95% CI, 1.06-1.09; P < .001), and more neurosurgeons (per surgeon: AOR, 1.25; 95% CI, 1.23-1.28; P < .001). For-profit status was associated with nontransfer at nontrauma centers (AOR, 1.55; 95% CI, 1.39-1.74; P < .001), but not at level III, IV, and V trauma centers. Overall, patient-level factors accounted for 36% and center-level factors accounted for 58% of the variation in transfer practices. Patient-level factors accounted for more variation at level III, IV, and V trauma centers (44%), but less variation at nontrauma centers (13%).

Conclusions and Relevance

Only 1 in 5 patients meeting ACS transfer criteria underwent transfer. Factors associated with nontransfer may be useful for trauma system stakeholders to target education and outreach to guide development of more inclusive trauma systems. Further study is necessary to critically evaluate whether these ACS criteria identify patients who require transfer.

Nationwide secondary overtriage in level 3 and level 4 trauma centers: are these transfers necessary?

BACKGROUND

Secondary overtriage (SO) refers to the interfacility transfer of trauma patients who are rapidly discharged home without surgical intervention by the receiving institution. SO imposes a financial hardship on patients and strains trauma center resources. Most studies on SO have been conducted from the perspective of the receiving hospital, which is usually a level 1 trauma center. Having previously studied SO from the referring rural hospital's perspective, we sought to identify variables contributing to SO at the national level.

METHODS

Using data from the 2008-2012 National Trauma Data Bank, we isolated patients transferred to level 1 trauma centers who were: (1) discharged home within 48 h and (2) did not undergo any surgical procedure. This population was subsequently compared with similar patients treated at and discharged directly from level 3 and 4 centers. Multivariate logistic regression analysis was used to isolate variables that independently influenced a patient's risk of undergoing SO. Injury patterns were characterized by use of subspecialty consultants.

RESULTS

A total of 99,114 patients met inclusion criteria, of which 13.2% were discharged directly from level 3 or 4 trauma centers, and 86.8% of them were transferred to a level 1 trauma center before discharge. The mean Injury Severity Score of the nontransfer and transfer groups was 5.4 ± 4.5 and 7.3 ± 5.7, respectively. Multivariate regression analysis showed that Injury Severity Score > 15, alcoholism, smoking, drug use, and certain injury patterns involving the head, vertebra, and face were associated with being transferred. In this minimally injured population, factors protective against transfers were: age > 65 y, female gender, systolic blood pressure <80, a head computed tomography scan and orthopedic injuries.

CONCLUSIONS

SO results from the complex interplay of variables including patient demographics, facility characteristics, and injury type. The inability to exclude a potentially devastating neurologic injury seems to drive SO.