Rib Fracture Location Should Be Evaluated When Predicting Morbidity and Mortality in Trauma Patients.

Rib fractures represent up to 55 per cent of thoracic blunt traumatic injuries and lead to significant mortality and morbidity. The aim of this study is to determine whether not only number but also the location of rib fractures can be used to risk stratify patients. This is a retrospective study of all blunt trauma patients who presented with rib fractures from January 1, 2013 to April 1, 2015 and underwent chest CT. Rib fractures were categorized by location. Primary outcome was mortality, secondary outcomes were total hospital length of stay (LOS), intensive care unit LOS, and disposition. Multivariate regressions were performed to determine whether mortality and morbidity was dependent on the number of rib fractures as related to location. Nine hundred and twenty-nine patients were reviewed, 669 fit inclusion criteria, and 35 patients died. Mean Injury Severity Score (18 ± 10), total number of rib fractures (6 ± 5), and age (54 ± 19) significantly correlated with mortality. LOS correlated with the number of rib fractures (P < 0.001). Flail chest of indeterminate location significantly increased mortality (P = 0.002). Controlling for age, gender, and Injury Severity Score and for every lateral rib fracture, patients were 1.13 times (OR; P = 0.001) more likely to die. Posterior rib fractures only effected patient outcome if the patient has three or more posterior ribs broken and the patient was 45 years of age or older (P = 0.044); these patients were 12 times more likely to die. When evaluating blunt force trauma in patients with rib fractures, it is imperative to look at rib fracture location and not only the number of rib fractures sustained to predict outcomes.

Examining the Impact of Using the SIMPL Application on Feedback in Surgical Education.

OBJECTIVE: The System for Improving and Measuring Procedural Learning (SIMPL) smartphone application allows physicians to provide dictated feedback to surgical residents. The impact of this novel feedback medium on the quality of feedback is unknown. Our objective was to compare the delivery and quality of best-case operative performance feedback given via SIMPL to feedback given in-person. DESIGN: We collected operative performance feedback given both in-person and via SIMPL from surgeons to residents over 6 weeks. Feedback transcripts were coded using Verbal Response Modes speech acts taxonomy to compare the delivery of feedback. We evaluated quality of feedback using a validated resident survey and third-party assessment form. SETTING: University of Wisconsin School of Medicine and Public Health, a large academic medical institution. PARTICIPANTS: Four surgical attendings and 9 general surgery residents. RESULTS: Nineteen SIMPL and 18 in-person feedback encounters were evaluated. Feedback via SIMPL was more directive (containing thoughts, perceptions, evaluations of resident behavior, or advice) and contained more presumptuous utterances (in which the physician reflected on and assessed resident performance or offered suggestions for improvement) than in-person feedback (p = 0.01). The resident survey showed no significant difference between the quality of feedback given via SIMPL and in-person (p = 0.07). The mean score was 47.74 (SD = 3.00) for SIMPL feedback and 45.33 (SD = 4.77) for in-person feedback, with a total possible score of 50. Third-party assessment showed no significant difference between the quality of feedback given via SIMPL and in-person (p = 0.486). The mean score was 23.40 (SD = 3.75) for SIMPL feedback and 22.25 (SD = 5.94) for in-person feedback, with a total possible score of 30. CONCLUSIONS: Although feedback given via SIMPL was more direct and based on the attendings' perspectives, the quality of the feedback did not differ significantly. Use of the dictation feature of SIMPL to deliver resident operative performance feedback is a reasonable alternative to in-person feedback.

Using epistemic network analysis to identify targets for educational interventions in trauma team communication.

BACKGROUND: Epistemic Network Analysis (ENA) is a technique for modeling and comparing the structure of connections between elements in coded data. We hypothesized that connections among team discourse elements as modeled by ENA would predict the quality of team performance in trauma simulation. METHODS: The Modified Non-technical Skills Scale for Trauma (T-NOTECHS) was used to score a simulation-based trauma team resuscitation. Sixteen teams of 5 trainees participated. Dialogue was coded using Verbal Response Modes (VRM), a speech classification system. ENA was used to model the connections between VRM codes. ENA models of teams with lesser T-NOTECHS scores (n = 9, mean = 16.98, standard deviation [SD] = 1.45) were compared with models of teams with greater T-NOTECHS scores (n = 7, mean = 21.02, SD = 1.09). RESULTS: Teams had different patterns of connections among VRM speech form codes with regard to connections among questions and edifications (meanHIGH = 0.115, meanLOW = -0.089; t = 2.21; P = .046, Cohen d = 1.021). Greater-scoring groups had stronger connections between stating information and providing acknowledgments, confirmation, or advising. Lesser-scoring groups had a stronger connection between asking questions and stating information. Discourse data suggest that this pattern reflected increased uncertainty. Lesser-scoring groups also had stronger connections from edifications to disclosures (revealing thoughts, feelings, and intentions) and interpretations (explaining, judging, and evaluating the behavior of others). CONCLUSION: ENA is a novel and valid method to assess communication among trauma teams. Differences in communication among higher- and lower-performing teams appear to result from the ways teams use questions. ENA allowed us to identify targets for improvement related to the use of questions and stating information by team members.

Barriers to Hospice Care in Trauma Patients: The Disparities in End-of-Life Care.

INTRODUCTION: End-of-life and palliative care are important aspects of trauma care and are not well defined. This analysis evaluates the racial and socioeconomic disparities in terms of utilization of hospice services for critically ill trauma patients. METHODS: Trauma patients ≥15 years old from 2012 to 2015 were queried from the National Trauma Databank. Chi-square and multivariate logistic regression analyses for disposition to hospice were performed after controlling for age, gender, comorbidities, injury severity, insurance, race, and ethnicity. Negative binomial regression analysis with margins for length of stay (LOS) was calculated for all patients discharged to hospice. RESULTS: Chi-square analysis of 2 966 444 patient's transition to hospice found patients with cardiac disease, bleeding and psychiatric disorders, chemotherapy, cancer, diabetes, cirrhosis, respiratory disease, renal failure, cirrhosis, and cerebrovascular accident (CVA) affected transfer ( P < .0001). Logistic regression analysis after controlling for covariates showed uninsured patients were discharged to hospice significantly less than insured patients (odds ratio [OR]: 0.71; P < .0001). Asian, African American, and Hispanic patients all received less hospice care than Caucasian patients (OR: 0.65, 0.60, 0.73; P < .0001). Negative binomial regression analysis with margins for LOS showed Medicare patients were transferred to hospice 1.2 days sooner than insured patients while uninsured patients remained in the hospital 1.6 days longer ( P < .001). When compare to Caucasians, African Americans patients stayed 3.7 days longer in the hospital and Hispanics 2.4 days longer prior to transfer to hospice ( P < .0001). In all patients with polytrauma, African Americans stayed 4.9 days longer and Hispanics 2.3 days longer as compared to Caucasians ( P < .0001). CONCLUSIONS: Race and ethnicity are independent predictors of a trauma patient's transition to hospice care and significantly affect LOS. Our data demonstrate prominent racial and socioeconomic disparities exist, with uninsured and minority patients being less likely to receive hospice services and having a delay in transition to hospice care when compared to their insured Caucasian counterparts.

Why saying what you mean matters: An analysis of trauma team communication.

BACKGROUND: We hypothesized that team communication with unmatched grammatical form and communicative intent (mixed mode communication) would correlate with worse trauma teamwork. METHODS: Interdisciplinary trauma simulations were conducted. Team performance was rated using the TEAM tool. Team communication was coded for grammatical form and communicative intent. The rate of mixed mode communication (MMC) was calculated. MMC rates were compared to overall TEAM scores. Statements with advisement intent (attempts to guide behavior) and edification intent (objective information) were specifically examined. The rates of MMC with advisement intent (aMMC) and edification intent (eMMC) were also compared to TEAM scores. RESULTS: TEAM scores did not correlate with MMC or eMMC. However, aMMC rates negatively correlated with total TEAM scores (r = -0.556, p = 0.025) and with the TEAM task management component scores (r = -0.513, p = 0.042). CONCLUSIONS: Trauma teams with lower rates of mixed mode communication with advisement intent had better non-technical skills as measured by TEAM.

Effect of transfer status on outcomes for necrotizing soft tissue infections.

BACKGROUND: Whether patients with necrotizing soft tissue infections (NSTI) who presented to under-resourced hospitals are best served by immediate debridement or expedited transfer is unknown. We examined whether interhospital transfer status impacts outcomes of patients requiring emergency debridement for NSTI. METHODS AND MATERIALS: We conducted a retrospective review studying patients with an operative diagnosis of necrotizing fasciitis, Fournier's gangrene, or gas gangrene in the 2010-2015 American College of Surgeons National Surgical Quality Improvement Program Participant Use Data Files. Multivariable regression analyses determined if transfer status independently predicted 30-d mortality, major morbidity, minor morbidity, and length of stay. RESULTS: Among 1801 patients, 1243 (69.0%) were in the non-transfer group and 558 (31.0%) were in the transfer group. The transfer group experienced higher rates of 30-d mortality (14.5% versus 13.0%) and major morbidity (64.5% versus 60.1%) than the non-transfer group, which were not significant after risk adjustment (adjusted odds ratio [95% confidence interval]: 0.87 [0.62-1.22] and 1.00 [0.79-1.27], respectively). The transferred group experienced a longer median length of postoperative hospitalization (14 d [interquartile range 8-24] versus 11 d [6-20]), which maintained statistical significance after adjustment for other factors (adjusted beta coefficient [95% confidence interval]: 1.92 [0.48-3.37]; P = 0.009). CONCLUSIONS: Our results suggest that interhospital transfer status is not an independent risk factor for mortality or morbidity after surgical management of NSTI. Although expedient debridement remains a basic tenet of NSTI management, our findings provide some reassurance that transfer before initial debridement will not significantly jeopardize patient outcomes should such transfer be deemed necessary.

A Cross-Sectional Retrospective Analysis of the Racial and Geographic Variations in Cataract Surgery.

BACKGROUND: Cataract surgery is the most common surgery performed on beneficiaries of Medicare, accounting for more than $3.4 billion in annual expenditures. The purpose of this study is to examine racial and geographic variations in cataract surgery rates and determine the association between the racial composition of the community population and the racial disparity in the likelihood of receiving necessary cataract surgery. METHODS: Using the national prevalence rates from the National Institute of Eye Health and the 2010 Healthcare Cost and Utilization Project-Florida State Ambulatory Surgery Database, we determined the estimated cases of cataract and the actual number of cataract procedures performed, on four race/gender determined groups aged 65 and over in the state of Florida in 2010. The utilization rates and disparity ratios were also calculated for each Florida county. The counties were segmented into groups based on their racial composition. The association between racial composition and disparity ratios in receiving necessary cataract surgery was examined. The Geographic Information System was used to display county-level geospatial relationships. RESULTS: African-Americans have a lower gender-specific cataract prevalence (African-American male = 0.246, African-American female = 0.392, white male = 0.368, and white female = 0.457), but they are also less likely than whites to receive necessary cataract surgery (utilization rate: African-American male = 7.92%, African-American female = 6.17%, white male = 12.08%, and white female = 10.54%). The statistical results show no overall differences between the disparity ratios and the racial composition of the communities. However, our geospatial analyses revealed a concentration of high racial disparity/high white population counties largely along the West Coast and South Central portion of the state. CONCLUSIONS: There are racial differences in the likelihood of receiving necessary cataract surgery. However, there is no significant statewide association between the racial composition of the community population and the racial disparity in the likelihood of receiving necessary cataract surgery. Geospatial techniques did, however, identify subpopulations of interest which were not otherwise identifiable with typical statistical approaches, nor consistent with their conclusions.