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Dive into the research topics where Amelia Rogers is active.

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Featured researches published by Amelia Rogers.


Journal of Trauma-injury Infection and Critical Care | 2012

High-risk geriatric protocol: improving mortality in the elderly.

Eric H. Bradburn; Frederick B. Rogers; Margaret Krasne; Amelia Rogers; Michael A. Horst; Matthew J. Belan; Jo Ann Miller

BACKGROUND Injured geriatric patients pose unique challenges to the trauma team because of their abnormal responses to shock and injury. We have developed the high-risk geriatric protocol (GP) that seeks to identify high-risk geriatric patients. We hypothesized that a high-risk GP would improve outcome in this select group of patients. METHODS Patients from 2000 to 2010 were included. Patients 65 years or older who met high-risk GP based on comorbidities and/or physiologic parameters were compared with those patients who had not received GP before its implementation as well as other non-GP patients. This protocol includes a geriatric consultation, as well as a lactate levels, arterial blood gas levels, and echo test to assess for occult shock. Age, trauma activation, preexisting conditions, Injury Severity Score, Revised Trauma Score, and mortality were reviewed. Univariate and multivariate analyses were conducted to identify factors predictive of mortality. RESULTS A total of 3,902 patients were evaluated. Patients receiving GP were less likely to die (odds ratio, 0.63 [0.39–0.99], p = 0.046). For all patients, there was a dramatic increase in mortality for those patients older than 75 years. CONCLUSION The GP, adjusted for other covariates, significantly reduced mortality in our patient population. Thus, this study confirms the overall effectiveness of our GP, which is hallmarked by prompt identification of those patients with occult shock and a multidisciplinary care of the aged population. LEVEL OF EVIDENCE Therapeutic study, level IV.


Journal of Trauma-injury Infection and Critical Care | 2013

Factors associated with patient satisfaction scores for physician care in trauma patients.

Frederick B. Rogers; Michael A. Horst; Tuc To; Amelia Rogers; Mathew Edavettal; Daniel Wu; Jeffrey Anderson; John G. Lee; Turner M. Osler; Lisa Brosey

BACKGROUND The Affordable Care Act of 2010 identifies “patient experience of care” as one of five domains of excellent care. We hypothesized that there are specific demographic factors associated with higher or lower physician satisfaction (PS) scores in trauma patients. METHODS Press-Ganey PS scores for September 2004 to December 2010 were compared with trauma variables and the association of a mean PS greater than or equal to 75 (high score) or less than or equal to 50 (low score). Those variables that proved significant on univariate analysis were subjected to multivariate logistic regression analysis. Significance was at p < 0.05. RESULTS There were 12,196 admissions, of whom 1,631 (13.4%) returned patient satisfaction survey. A total of 1,174 patients (75.5%) returned a high PS (≥75), and 126 patients (8.1%) returned a low PS (⩽50). In the multiple logistic regression analysis, 65 years or older (odds ratio [OR], 1.7), having had a surgical procedure (OR, 1.6), and having a positive impression of the hospital care (OR, 7.0) proved significant for a high PS. Those patients who scored a low PS were significantly more likely to be younger (18–29 years: OR, 2.4; 30–64 years: OR, 1.8), to have not had surgery (OR, 2.2), had an Injury Severity Score (ISS) of 16 or lower (OR, 2.6), had a complication of care (OR, 4.4), and rated the hospital care as poor (OR, 9.2). CONCLUSION A trauma patient who is satisfied with his or her physician care is one who is 65 years or older, requires surgery, and is predominantly satisfied with other aspects of their hospital care. Unsatisfied patients are younger, are nonoperative, had lower ISS, had a complication of care, and rated their hospital care as poor. Understanding the specific characteristics of Press-Ganey results for trauma patients will allow trauma surgeons and their hospital partners to develop strategies to improve patients’ satisfaction with their trauma surgeon’s care. LEVEL OF EVIDENCE Epidemiologic study, level III; therapeutic study, level IV.


Journal of Trauma-injury Infection and Critical Care | 2012

Has TRISS become an anachronism? A comparison of mortality between the National Trauma Data Bank and Major Trauma Outcome Study databases.

Frederick B. Rogers; Turner M. Osler; Margaret Krasne; Amelia Rogers; Eric H. Bradburn; John C. Lee; Daniel Wu; Nathan McWilliams; Michael A. Horst

BACKGROUND The Trauma and Injury Severity Score (TRISS) has been the approach to trauma outcome prediction during the past 20 years and has been adopted by many commercial registries. Unfortunately, its survival predictions are based upon coefficients that were derived from a data set collected in the 1980s and updated only once using a data set collected in the early 1990s. We hypothesized that the improvements in trauma care during the past 20 years would lead to improved survival in a large database, thus making the TRISS biased. METHODS The TRISSs from the Pennsylvania statewide trauma registry (Collector, Digital Innovations) for the years 1990 to 2010. Observed-to-expected mortality ratios for each year of the study were calculated by taking the ratio of actual deaths (observed deaths, O) to the summation of the probability of mortality predicted by the TRISS taken over all patients (expected deaths, E). For reference, O/E ratio should approach 1 if the TRISS is well calibrated (i.e., has predictive accuracy). RESULTS There were 408,489 patients with complete data sufficient to calculate the TRISSs. There was a significant trend toward improved outcome (i.e., decreasing O/E ratio; nonparametric test of trend, p < 0.001) over time in both the total population and the blunt trauma subpopulation. In the penetrating trauma population, there was a trend toward improved outcome (decreasing O/E ratio), but it did not quite reach significance (nonparametric test of trend p = 0.073). CONCLUSION There is a steady trend toward improved O/E survival in the Pennsylvania database with each passing year, suggesting that the TRISS is drifting out of calibration. It is likely that improvements in care account for these changes. For the TRISS to remain an accurate outcome prediction model, new coefficients would need to be calculated periodically to keep up with trends in trauma care. This requirement for occasional updating is likely to be a requirement of any trauma prediction model, but because many other deficiencies in the TRISS have been reported, we think that rather than updating the TRISS, it would be more productive to replace the TRISS with a modern statistical model. LEVEL OF EVIDENCE Prognostic study, level II.


Journal of Trauma-injury Infection and Critical Care | 2012

Determining venous thromboembolic risk assessment for patients with trauma: the Trauma Embolic Scoring System.

Frederick B. Rogers; Steven R. Shackford; Michael A. Horst; Jo Ann Miller; Daniel Wu; Eric H. Bradburn; Amelia Rogers; Margaret Krasne

BACKGROUND This study aimed to determine the relative “weight” of risk factors known to be associated with venous thromboembolism (VTE) for patients with trauma based on injuries and comorbidities. METHODS A retrospective review of 16,608 consecutive admissions to a trauma center was performed. Patients were separated into those who developed VTE (n = 141) versus those who did not (16,467). Univariate analysis was performed for each risk factor reported in the trauma literature. Risk factors that were shown to be significant (p < 0.05) by univariate analysis underwent multivariate analysis to develop odds ratios for VTE. The Trauma Embolic Scoring System (TESS) was derived from the multivariate coefficients. The resulting TESS was compared with a data set from the National Trauma Data Bank (2002–2006) to determine its ability to predict VTE. RESULTS The multivariate analysis demonstrated that age, Injury Severity Score, obesity, ventilator use for more than 3 days, and lower-extremity trauma were significant predictors of VTE in our patient population. The TESS was from 0 to 14, with the best prediction for those patients with a score of more than 6 (sensitivity, 81.6%; specificity, 84%). Overall, the model had excellent discrimination in predicting VTE with a receiver operating characteristic curve of 0.89. The VTE rates for TESS in the National Trauma Data Bank data set were similar for all integers except for 3 and 4, in which the VTE rates were significantly higher (3, 0.2% vs. 0.6%; 4, 0.4% vs. 1.0%). CONCLUSION The TESS provides an objective measure of classifying VTE risk for patients with trauma. The TESS could allow informed decision making regarding prophylaxis strategies in patients with trauma. LEVEL OF EVIDENCE Prognostic study, level II.


Journal of Trauma-injury Infection and Critical Care | 2014

Evaluation of 8.0-cm needle at the fourth anterior axillary line for needle chest decompression of tension pneumothorax.

Samuel J. Chang; Samuel W. Ross; David J. Kiefer; William E. Anderson; Amelia Rogers; Ronald F. Sing; David W. Callaway

BACKGROUND Five-centimeter needles at the second intercostal space midclavicular line (2MCL) have high failure rates for decompression of tension pneumothorax. This study evaluates 8-cm needles directed at the fourth intercostal space anterior axillary line (4AAL). METHODS Retrospective radiographic analysis of 100 consecutive trauma patients 18 years or older from January to September 2011. Measurements of chest wall thickness (CWT) and depth to vital structure (DVS) were obtained at 2MCL and 4AAL. 4AAL measurements were taken based on two angles: closest vital structure and perpendicular to the chest wall. Primary outcome measures were radiographic decompression (RD) (defined as CWT < 80 mm) and radiographic noninjury (RNI) (DVS > 80 mm) of 8-cm needles at 4AAL. Secondary outcome measures are effect of angle of entry on RNI at 4AAL, RD and RNI of 8-cm needles at 2MCL, and comparison of 5-cm needles with 8-cm needles at both locations. RESULTS Eighty-four percent of the patients were male, with mean Injury Severity Score (ISS) of 17.7 (range, 1.0–66.0) and body mass index of 26.8 (16.5–48.4). Mean CWT at 4AAL ranged from 37.6 mm to 39.9 mm, significantly thinner than mean CWT at 2MCL (43.3–46.7 mm). Eight-centimeter needle RD was more than 96% at both 4AAL and 2MCL. Five-centimeter RD ranged from 66% to 81% at all sites. Mean DVS at 4AAL ranged from 91.8 mm to 128.0 mm. RNI at all sites was more than 91% except at left 4AAL, when taken to the closest vital structure (mean DVS, 91.8 mm), with 68% RNI. Perpendicular entry increased DVS to 109.4 mm and subsequent RNI to 91%. Five-centimeter RNI at all sites was more than 99%. CONCLUSION CWT at 4AAL is significantly thinner than 2MCL. Based on radiographic measurements, 8-cm catheters have a higher chance of pleural decompression when compared with 5-cm catheters. Steeper angle of entry at 4AAL improves 8-cm noninjury rates to more than 91%. LEVEL OF EVIDENCE Therapeutic/care management study, level IV.


Journal of Trauma-injury Infection and Critical Care | 2012

Improved recovery of prophylactic inferior vena cava filters in trauma patients: the results of a dedicated filter registry and critical pathway for filter removal.

Frederick B. Rogers; Steven R. Shackford; Jo Ann Miller; Daniel Wu; Amelia Rogers; Angela Gambler

Background: Temporary inferior vena cava filters (IVCF) are uniquely suited for trauma patients in whom the high risk of venous thromboembolism is transient. Currently, few “retrievable filters” are actually retrieved, with most published series documenting a retrieval rate between 20% and 50%. We sought to determine whether we could achieve a higher rate of retrieval with an improved process of care. Methods: All permanent and temporary filters were entered prospectively into a dedicated filter registry. Within 60 days of filter placement, all temporary filter patients were contacted by a trauma case manager to evaluate ongoing venous thromboembolism risk. Low-risk patients were then evaluated by radiology for removal of the IVCF. If appropriate, removal of the IVCF was scheduled. Initial contacts with patients were made by telephone. If unsuccessful with phone contact, family members, rehabilitation facility, and social work were all contacted to obtain the most recent phone number and address. A follow-up letter was sent to the patient with follow-up visit instructions. Finally, if prior contact measures did not work, a certified letter was sent to the last known address. Results: Between 2006 and 2009, of 7,949 trauma admissions, 420 (5.2%) met indications for filter placement. Of those, 160 were available for removal and 94 were successfully removed (59%). Conclusions: A retrieval rate of 59% can be achieved with an explicit process of care emphasizing disciplined follow-up. Level of Evidence: III.


Injury-international Journal of The Care of The Injured | 2015

An analysis of Brain Trauma Foundation traumatic brain injury guideline compliance and patient outcome.

John C. Lee; Katelyn J. Rittenhouse; Katherine Bupp; Brian Gross; Amelia Rogers; Frederick B. Rogers; Michael Horst; Lisa Estrella; James Thurmond

INTRODUCTION Evidence-based guidelines for the care of severe traumatic brain injury have been available from the Brain Trauma Foundation (BTF) since 1995. A total of 15 recommendations compose the current guidelines. Although each individual guideline has been validated in isolation, to date, little research has examined the guidelines in composite. We examined the relationship between compliance with the BTF severe TBI guidelines and mortality. MATERIALS AND METHODS In a Pennsylvania-verified, mature Level II trauma centre, patients with an admission Glasgow Coma Scale (GCS) ≤ 8 and an abnormal head CT from 2007 to 2012 were queried from the trauma registry. Exclusion criteria included: patients who sustained a non-survivable injury (AIS head 6), died ≤ 24 h, and/or were transferred to a paediatric trauma centre. Strict adherence to the BTF guidelines was determined in a binary fashion (yes/no). We then calculated each patients percent compliance with total number of guidelines. Bivariate analysis was used to find significant predictors of mortality (p<0.05), including percent BTF guidelines compliance. Significant factors were added to a multivariable logistic regression model to look at mortality rates across the percent compliance spectrum. RESULTS 185 Patients met inclusion criteria. Percent compliance ranged from 28.6% to 94.4%, (median=71.4%). Following adjustment for age, AIS head, and GCS motor, patients with 55-75% compliance (AOR: 0.20; 95%CI: 0.06-0.70) and >75% compliance (AOR: 0.27; 95%CI: 0.08-0.94) had reduced odds of mortality, as compared to <55% compliance to the BTF guidelines. When the unadjusted rate of mortality was compared across the compliance spectrum, the odds of mortality decreased as compliance increased until 75%, and then reversed. CONCLUSION Our data indicate that full compliance with all 15 severe TBI guidelines is difficult to achieve and may not be necessary to optimally care for patients.


Journal of Trauma-injury Infection and Critical Care | 2014

Magnet hospitals are a magnet for higher survival rates at adult trauma centers.

Tracy Evans; Katelyn Rittenhouse; Michael A. Horst; Turner M. Osler; Amelia Rogers; Jo Ann Miller; Christina Martin; Claire Mooney; Frederick B. Rogers

BACKGROUND Little is known about nursing care’s impact on trauma outcomes. The Magnet Recognition Program recognizes hospitals for quality patient care and nursing excellence based on objective standards. We hypothesized that Magnet-designated trauma centers would have improved survival over their non-Magnet counterparts. METHODS All 2009 to 2011 admissions to Pennsylvania’s Level I and II trauma centers with more than 500 admissions during the study period (10 Magnet and 17 non-Magnet hospitals) were extracted from the Pennsylvania Trauma Systems Foundation State Registry. A logistic regression model with mortality as the dependent variable included the following variables: Magnet status, age, sex, admitting temperature, logit transformation of mortality probability predicted by the Trauma Mortality Prediction Model (TMPM-ais), systolic blood pressure, mechanism of injury, paralytic drug use, and Glasgow Coma Scale motor (GCSm) score. RESULTS A total of 73,830 patients from the Pennsylvania Trauma Outcome Study database met inclusion criteria for this study. The Magnet and non-Magnet hospital groups were statistically indistinguishable with respect to level of designation, medical school association, surgical residency programs, in-house surgeons, and urban locations. Patients admitted to a Magnet hospital had a significantly decreased odds of mortality when compared with their non-Magnet counterparts (odds ratio, 0.83; 95% confidence interval, 0.70–0.99; p = 0.033), when controlling for numerous factors. Overall, the model has outstanding discrimination with a receiver operating characteristic curve of 0.93. CONCLUSION Admission to a Magnet-designated hospital is associated with a 20% reduction in mortality. We believe that the Magnet program’s attention to nursing competence has important consequences for trauma patients, as reflected in the improved survival rates in trauma patients admitted to Magnet-designated hospitals. LEVEL OF EVIDENCE Epidemiologic/prognostic study, level III. Care management study, level IV.


Injury-international Journal of The Care of The Injured | 2015

Hyponatremia as a fall predictor in a geriatric trauma population

Katelyn Rittenhouse; Tuc To; Amelia Rogers; Daniel Wu; Michael A. Horst; Mathew Edavettal; Jo Ann Miller; Frederick B. Rogers

INTRODUCTION Approximately one in three older adults fall each year, resulting in a significant proportion of geriatric traumatic injuries. In a hospital with a focus on geriatric fall prevention, we sought to characterize this population to develop targeted interventions. As mild hyponatremia, defined as a serum sodium <135meq/L, has been reported to be associated with falls, unsteadiness and attention deficits, we hypothesized that hyponatremia is associated with falls in our geriatric trauma population. METHODS Gender, age, pre-existing conditions (cardiac disease, diabetes, hematologic disorder, liver disease, malignancy, musculoskeletal disorder, neurological disorder, obesity, psychiatric disorder, pulmonary disease, renal disease, thyroid disease), mechanism of injury and admitting serum sodium level were queried for all geriatric trauma admissions from 2008 to 2011. Mechanism of injury was coded as falls admissions and non-falls admissions. Admitting serum sodium levels were coded as hyponatremic (<135mmol/L) and not hyponatremic (≥135mmol/L). RESULTS Of the 2370 geriatric trauma admissions during the study period, there were 1841 (77.7%) falls admissions and 293 (12.4%) patients who were hyponatremic. Gender, age, neurological disorder, hematologic disorder, and hyponatremia were found to be significant predictors of falls in both univariate and multivariable analyses. CONCLUSION Hyponatremic patients are significantly more likely to be admitted for a fall than non-hyponatremic patients, when adjusting for age, neurological disorder, and hematologic disorder. Consequently, hyponatremia identification and management should be an integral part of any geriatric trauma fall prevention programme. Additionally, if hyponatremia is found during a geriatric fall workup, it should be corrected prior to discharge and closely monitored by a primary care physician to prevent recurrent episodes of falls.


Journal of Trauma-injury Infection and Critical Care | 2015

An analysis of geriatric recidivism in the era of accountable care organizations.

Katelyn Rittenhouse; Carissa Harnish; Brian W. Gross; Amelia Rogers; Jo Ann Miller; Roxanne Chandler; Frederick B. Rogers

BACKGROUND To date, there are almost 500 accountable care organizations (ACOs) across the United States emphasizing cost-effective care. Readmission largely impacts health care cost; therefore, we sought to determine factors associated with geriatric trauma readmissions (recidivism) within our institution. METHODS All admissions from 2000 to 2011 attributed to patients 65 years or older at our Level II trauma center, recently verified by Medicare as an ACO, were queried. Patients were classified as recidivist or nonrecidivist. The first admissions of recidivist patients were compared with the nonrecidivist admissions with respect to sex, age, race, primary insurance, admission Glasgow Coma Scale (GCS) score, Injury Severity Score (ISS), hospital length of stay, mechanism of injury (MOI), preexisting conditions, and discharge destination. Factors found to be significant predictors of recidivism in univariate analyses were subsequently incorporated into a multivariate logistic regression model. In addition, the second admission’s MOI was compared with the first admission’s MOI, and the proportion of first, second, and third admissions attributed to falls was calculated. A p < 0.05 was significant. RESULTS Between 2000 and 2011, a total of 4,963 unique patients were admitted to the trauma center at 65 years or older. This population was composed of 287 recidivists (5.8%) and 4,676 nonrecidivists (94.2%). When placed in a multivariate logistic regression, female sex, admission GCS score of 15, history of head trauma, and preexisting pulmonary disease were identified as significant predictors of recidivism. A trend toward increasing proportion of injuries attributed to falls was found with each subsequent trauma admission (81.5% [234 of 287] of first admissions, 88.2% [253 of 287] of second admissions, and 90.5% [19 of 21] of third admissions). CONCLUSION Our study identifies specific factors that should be targeted by social service and prevention resources to inhibit recidivism in the elderly. In the brave new world of ACOs, trauma centers must identify high-risk populations for the consumption of limited resources. LEVEL OF EVIDENCE Care management study, level IV. Prognostic study, level III.

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Michael A. Horst

Lancaster General Hospital

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Jo Ann Miller

Lancaster General Hospital

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Daniel Wu

University of California

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Mathew Edavettal

Lancaster General Hospital

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Eric H. Bradburn

University of Tennessee Health Science Center

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Katelyn Rittenhouse

University of North Carolina at Chapel Hill

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John G. Lee

University of California

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Margaret Krasne

Memorial Sloan Kettering Cancer Center

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John C. Lee

Lancaster General Hospital

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