Level One Trauma Center Proliferation May Worsen Patient Outcomes.

BACKGROUND: From 2013 to 2020, Arizona state trauma system expanded from seven to thirteen level 1 trauma centers (L1TCs). This study utilized the state trauma registry to analyze the effect of L1TC proliferation on patient outcomes. METHODS: Adult patients age≥15 in the state trauma registry from 2007-2020 were queried for demographic, injury, and outcome variables. These variables were compared across the 2 time periods: 2007-2012 as pre-proliferation (PRE) and 2013-2020 as post-proliferation (POST). Multivariate logistic regression was performed to assess independent predictors of mortality. Subgroup analyses were done for Injury Severity Score (ISS)≥15, age≥65, and trauma mechanisms. RESULTS: A total of 482,896 trauma patients were included in this study. 40% were female, 29% were geriatric patients, and 8.6% sustained penetrating trauma. The median ISS was 4. Inpatient mortality overall was 2.7%. POST consisted of more female, geriatric, and blunt trauma patients (P < .001). Both periods had similar median ISS. POST had more interfacility transfers (14.5% vs 10.3%, P < .001). Inpatient, unadjusted mortality decreased by .5% in POST (P < .001). After adjusting for age, gender, ISS, and trauma mechanism, being in POST was predictive of death (OR: 1.4, CI:1.3-1.5, P < .001). This was consistent across all subgroups except for geriatric subgroup, which there was no significant correlation. DISCUSSION: Despite advances in trauma care and almost doubling of L1TCs, POST had minimal reduction of unadjusted mortality and was an independent predictor of death. Results suggest increasing number of L1TCs alone may not improve mortality. Alternative approaches should be sought with future regional trauma system design and implementation.

Impact of lower level trauma center proliferation on patient outcomes.

Background: In attempt to increase trauma system coverage, our state added 21 level 3 (L3TC) and level 4 trauma centers (L4TC) to the existing 7 level 1 trauma centers from 2008 to 2012. This study examined the impact of adding these lower-level trauma centers (LLTC) on patient outcomes. Methods: Patients in the state trauma registry age ≥ 15 from 2007 to 2012 were queried for demographic, injury, and outcome variables. These were compared between 2007 (PRE) and 2008-2012 (POST) cohorts. Multivariate logistic regression was performed to assess independent predictors of mortality. Subgroup analyses were performed for Injury Severity Score (ISS) ≥15, age ≥ 65, and trauma mechanisms. Results: 143,919 adults were evaluated. POST had significantly more female, geriatric, and blunt traumas (all p < 0.001). ISS was similar. Interfacility transfers increased by 10.2 %. Overall mortality decreased by 0.6 % (p < 0.001). Multivariate logistic regression analysis showed that being in POST was not associated with survival (OR: 1.07, CI: 0.96-1.18, p = 0.227). Subgroup analyses showed small reductions in mortality, except for geriatric patients. After adjusting for covariates, POST was not associated with survival in any subgroup, and trended toward being a predictor for death in penetrating traumas (OR: 1.23; 1.00-1.53, p = 0.059). Conclusions: Unregulated proliferation of LLTCs was associated with increased interfacility transfers without significant increase in trauma patients treated. LLTC proliferation was not an independent protector against mortality in the overall cohort and may worsen mortality for penetrating trauma patients. Rather than simply increasing the number of LLTCs within a region, perhaps more planned approaches are needed. Key message: This is, to our knowledge, the first work to study the effect of rapid lower level trauma center proliferation on patient outcomes. The findings of our analysis have implications for strategic planning of future trauma systems.

Using Functional Status in the Acute Hospital to Predict Discharge Destination for Stroke Patients.

OBJECTIVE: The aim of this study was to determine whether functional status, as measured by the AcuteFIM instrument, can be used to predict discharge destination of stroke patients from the acute hospital setting. DESIGN: A retrospective cohort study was carried out in an urban academic medical center. Data were collected on 481 new-onset stroke patients 18 yrs or older in an acute hospital between January 1 and September 30, 2013. Functional Independence Measure (FIM) instrument data were linked to a subset of 54 patients who received additional services at an inpatient rehabilitation facility. A receiver operator characteristic curve was constructed to validate the predictive ability of the AcuteFIM instrument and to determine the optimal cutoff score associated with discharge to a community setting. RESULTS: All AcuteFIM items in stroke patients at admission demonstrated strong interitem correlation coefficients (all above 0.6) and high internal consistency (Cronbach α = 0.94). The AcuteFIM total score was positively associated with discharge to the community from the acute hospital (odds ratio, 1.06; 95% confidence interval, 1.05-1.07). Receiver operator characteristic curve analysis generated a c statistic of 0.89 (95% confidence interval, 0.87-0.92), indicating that the AcuteFIM instrument is predictive of patient discharge to the community setting. CONCLUSION: This study suggests that the AcuteFIM instrument is a reliable tool that can be used to predict discharge destination from the acute hospital among stroke patients.