Evaluation of Secondary Overtriage at a Rural Level 1 Trauma Center.

OBJECTIVE: To retrospectively assess the prevalence of secondary overtriage (SO) within a rural regional Appalachian health care system. METHODS: Trauma registry data was extracted for all trauma activation transfer patients from 2017 to 2022. Transferred patients were then stratified into two groups, non-secondary overtriage (non-SO) or SO. Patients were considered SO if they met three criteria following transfer: an Injury Severity Score (ISS) of less than 15, no required operative intervention, and discharge within 48 hours of arrival. Descriptive statistics were compared for age, length of stay (LOS), ICU LOS, and ISS. Surgical subspecialty consultations were compared between the two groups. Patients in the SO group were further assessed by body region of injury and Abbreviated Injury Score (AIS). RESULTS: Among 3,291 trauma activation transfer patients, 43% (1,407) were considered SO transfers. Patients in the SO group were significantly younger, had shorter average hospital and ICU LOS, and lower ISS compared to the non-SO group. Additionally, 25.7% of patients in the SO group had injuries to the head or neck of which 8.96% have an AIS ≥3. 21% of patients had injuries to the face, with 0.14% having an AIS ≥3. CONCLUSIONS: 43% of transfer patients in this study met our definition of SO. Although no optimal rate of SO has been universally established, limiting SO stands to benefit both patients and trauma systems. This study highlights how institutional analysis of transfer patients may help inform transfer protocols to reduce secondary overtriage and overutilization of scarce resources.

Assessing Futile Trauma Transfers in Rural Appalachia Following a Regional Health Care System Consolidation.

This study sought to define and analyze rates of futile trauma transfers (FTTs) after the consolidation of two rural level 1 trauma centers into one. Data was extracted from the regional trauma registry for a period of 5 years (2017-2022) for all trauma patients transferred into our level 1 trauma center (n = 3369). An FTT was defined as a transfer that (1) received no major interventions and (2) died or was discharged to a hospice facility within 72 hours. Out of the 3369 transfer patients analyzed during the 33-month pre-consolidation and 33-month post-consolidation periods, 34 patients met the criteria of an FTT within the transfer-to-discharge window. The pre-consolidation category contained 12, and the post-consolidation category contained 22. Chi-square analysis indicated no significant difference in FTT rate between categories. Furthermore, the post-consolidation FTT rate of 1.1% remained consistent with the estimated national average of 1.5%.

Application of the Geriatric Trauma Outcome Score in a Rural Setting.

OBJECTIVE: To retrospectively apply the Geriatric Trauma Outcome (GTO) score to the patient population of a rural South Central Appalachian level 1 trauma center and identify the potential utility of the GTO score in guiding goals of care discussions. METHODS: Trauma registry data was extracted for 5,627 patients aged 65+ from 2017 to 2021. GTO score was calculated for each patient. Descriptive statistics were calculated for age, Injury Severity Score (ISS), GTO score, receipt of red blood cells, discharge status, and code status. A simple logistic regression model was used to determine the relationship between GTO score and discharge status. The probability of mortality was then calculated using GTO score, and the distribution of code status among patients with ≤50, 51-75%, and >75% probability of mortality was examined. RESULTS: For every 10-point increase in GTO score, odds of mortality increased by 79% (OR = 1.79; P < .001). Patients had an estimated 50% probability of mortality with a GTO score of 156, 75% with 174, and 99% with a score of 234, respectively. Seventeen patients had a GTO score associated with >75% probability of mortality. Of those 17 patients, four retained a full code status. CONCLUSIONS: Our analysis demonstrates that the GTO score is a validated measure in a rural setting and can be an easily calculated metric to help determine a geriatric patient's probability of mortality following a trauma. The results of our study also found that GTO score can be used to inform goals of care discussions with patients.

Outcome of Seatbelt Education and Safety Program Among Teenagers.

Despite the effectiveness of seatbelts, concerns persist about compliance, especially among teenagers. Survey data from a local high school and registry data from a level 1 trauma center were used to observe seatbelt and motor vehicle accident trends. The survey data was analyzed to gauge student's sentiments on seatbelt education. The trauma center data was analyzed to identify characteristics and trends among teenage motor vehicle accidents. Social media was the most common strategy selected for seatbelt safety awareness. Random seatbelt checks performed over 4 months revealed seatbelt compliance rates of 90%, 93.55%, and 96.94% after education intervention. Trauma center data showed that lack of seatbelt usage resulted in greater morbidity. These findings emphasize the need for targeted interventions. This study provides insights into creating effective education campaigns that can be used to enhance safety belt compliance and potentially reduce injury.

Effects of Trauma Center Consolidation on Adult Trauma at a Rural Level 1 Trauma Center.

OBJECTIVE: The aim was to determine the impact of consolidation of two rural level 1 trauma centers on adult trauma patients presenting to the remaining level 1 trauma center. To our knowledge, a study assessing the impact of trauma center consolidation on adult trauma patients had yet to be performed. METHODS: A single institution, retrospective study was conducted at a rural level 1 trauma center. Adult trauma patients who presented to our center from January 2017 to January 2022 were included. The cohorts spanned 33 months pre- and post-consolidation. Multiple demographic and outcome measures were gathered. Data were analyzed using the student's t-test and Chi-squared testing. RESULTS: There was a 33% increase in overall trauma activations and 9% increase in transfers from outside facilities post-consolidation. The post-consolidation group was significantly older, had higher mean injury severity score, and decreased hospital-free days. The post-consolidation group also saw an increase in ICU admission and surgical intervention. While there were no significant differences in ICU-free days or ventilator days, patients in the post-consolidation group with the highest level of activation who required both surgical intervention and ICU admission experienced decreased mortality. CONCLUSION: The consolidation of trauma services to a single level 1 trauma center in a rural Appalachian health system led to higher trauma volume and acuity, but most importantly decreased mortality for the most severely injured trauma patients.

Can the electronic medical record provide reliable indicators of primary care behavioral health fidelity? Comparison of accessibility and productivity indicators assessed through observational coding.

INTRODUCTION: The primary care behavioral health (PCBH) model is one of the most widely implemented integrated care approaches. However, research on the model has been limited by inconsistent measurement and reporting of model fidelity. One way of making measurement of PCBH model fidelity more routine is to incorporate fidelity indicators into the electronic medical record (EMR), though research regarding the accuracy of EMR data is mixed. In this study, we aimed to assess the reliability of EMR data as a PCBH fidelity measurement tool by comparing key EMR indicators of PCBH fidelity to those recorded by an observational coder. METHOD: Over an 8-month period (October 2021-May 2022), 12 behavioral health consultants (BHCs; 92% White, 75% female) across five primary care clinics recorded indicators of PCBH fidelity in the EMR as part of their routine charting of behavioral health visits. During that same period, one observational coder completed seven 4-hr visits per clinic to obtain multiple samples of data from each over time and recorded the same variables (i.e., percentage of visits prompted by warm handoffs, number of warm handoffs, and number of patient visits). We used bivariate correlations to test the associations between the EMR variables and the observer-coded variables. RESULTS: Correlations between EMR and observer-coded variables were moderate to strong, ranging from r = .46 to r = .97. DISCUSSION: Leveraging EMR data appears to be a fairly reliable approach to capturing indicators of PCBH model fidelity in the key domains of accessibility and high productivity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).