Examining the association between military service history and outcomes after burn injury.

INTRODUCTION: The association between military service history and long-term outcomes after burn injury is unknown. This study uses data from the Burn Model System National Database to compare outcomes of individuals with and without self-reported military service history. METHODS: Outcome measures were assessed at 12 months after injury including the Veterans Rand-12 Item Health Survey/Short Form-12, Satisfaction With Life Scale, Patient Reported Outcomes Measure Information System 29, 4-D Itch scale, Post Traumatic Stress Disorder Check List - Civilian Version, self-reported Post Traumatic Stress Disorder, and employment status. This study included 675 people with burns of whom 108 reported a history of military service. RESULTS: The military service history group was more likely to be older, and male. Those with military service were most likely to be on Medicare insurance and those without military service history were most likely to be on Private Insurance/HMP/PPO. No significant differences were found between those with and without military service history in the outcome measures. CONCLUSIONS: Further research should examine differences in outcomes between civilians and those with military service history, including elements of resilience and post traumatic growth.

Addressing diversity in the physician workforce through social determinants of medical education.

Social determinants of medical education are the most impactful aspects of recruiting, retaining, and producing the next generation of a diverse physician workforce. We can use the same framework well known to describe social determinants of health to identify social determinants that impact medical education learners and their ability to enter the workforce and succeed to completion. Efforts aimed at recruitment and retention should not exist in isolation and must be matched with those that continuously assess and evaluate the learning environment. The development of a climate where all can bring their full selves to learn, study, work, and care for patients is critically important in the creation of a learning environment where every participant can grow and thrive. If we are to address the need to diversify the workforce, we must be intentional with strategic plans, which includes addressing the social determinants that are prohibitive for some of our learners.

Impacts of Financial Assistance on Quality of Life Among People Living With Burn Injury: Matched Cohort Analysis of the National Institute on Disability, Independent Living and Rehabilitation Research Burn Model System Database.

Disparities in socioeconomic status and minority status affect the risk of burn injury and the severity of that injury, thus affecting the subsequent cost of care. We aimed to characterize the demographic details surrounding receipt of financial assistance due to burn injury and its relationship with health-related quality of life scores. Participants ≥18 from Burn Model System National Longitudinal Database (BMS) with complete demographic data were included (n = 4330). Nonresponders to financial assistance questions were analyzed separately. The remaining sample (n = 1255) was divided into participants who received financial assistance because of burn injury, those who received no financial assistance, and those who received financial assistance before injury and as a result of injury. A demographic and injury-characteristic comparison was conducted. Health-related quality of life metrics (Satisfaction with Life, Short Form-12/Veterans RAND 12-Item Health Survey, Community Integration Questionnaire Social Component, and the Post-Traumatic Growth Inventory) were analyzed preinjury, then 6-months, 1-year, and 2-years postinjury. A matched cohort analysis compared these scores. When compared to their no financial assistance counterparts, participants receiving financial assistance due to burns were more likely to be minorities (19% vs 14%), have more severe injuries (%TBSA burn 21% vs 10%), and receive workers' compensation (24% vs 9%). They also had lower health-related quality of life scores on all metrics except the post-traumatic growth inventory. Financial assistance may aid in combating disparities in posttraumatic growth scores for participants at the greatest risk of financial toxicity but does not improve other health-related quality of life metrics.

Development of a 30-Day Readmission Risk Calculator for the Inpatient Rehabilitation Setting.

OBJECTIVES: Readmission to acute care from the inpatient rehabilitation facility (IRF) setting is potentially preventable and an important target of quality improvement and cost savings. The objective of this study was to develop a risk calculator to predict 30-day all-cause readmissions from the IRF setting. DESIGN: Retrospective database analysis using the Uniform Data System for Medical Rehabilitation (UDSMR) from 2015 through 2019. SETTING AND PARTICIPANTS: In total, 956 US inpatient rehabilitation facilities and 1,849,768 IRF discharges comprising patients from 14 impairment groups. METHODS: Logistic regression models were developed to calculate risk-standardized 30-day all-cause hospital readmission rates for patients admitted to an IRF. Models for each impairment group were assessed using 12 common clinical and demographic variables and all but 4 models included various special variables. Models were assessed for discrimination (c-statistics), calibration (calibration plots), and internal validation (bootstrapping). A readmission risk scoring system was created for each impairment group population and was graphically validated. RESULTS: The mean age of the cohort was 68.7 (15.2) years, 50.7% were women, and 78.3% were Caucasian. Medicare was the primary payer for 73.1% of the study population. The final models for each impairment group included between 4 and 13 total predictor variables. Model c-statistics ranged from 0.65 to 0.70. There was good calibration represented for most models up to a readmission risk of 30%. Internal validation of the models using bootstrap samples revealed little bias. Point systems for determining risk of 30-day readmission were developed for each impairment group. CONCLUSIONS AND IMPLICATIONS: Multivariable risk factor algorithms based upon administrative data were developed to assess 30-day readmission risk for patients admitted from IRF. This report represents the development of a readmission risk calculator for the IRF setting, which could be instrumental in identifying high risk populations for readmission and targeting resources towards a diverse group of IRF impairment groups.

The Impact of Burn Survivor Preinjury Income and Payer Status on Health-Related Quality of Life.

The costs required to provide acute care for patients with serious burn injuries are significant. In the United States, these costs are often shared by patients. However, the impacts of preinjury finances on health-related quality of life (HRQL) have been poorly characterized. We hypothesized that lower income and public payers would be associated with poorer HRQL. Burn survivors with complete data for preinjury personal income and payer status were extracted from the longitudinal Burn Model System National Database. HRQL outcomes were measured with VR-12 scores at 6, 12, and 24 months postinjury. VR-12 scores were evaluated using generalized linear models, adjusting for potential confounders (eg, age, sex, self-identified race, burn injury severity). About 453 participants had complete data for income and payer status. More than one third of BMS participants earned less than $25,000/year (36%), 24% earned $25,000 to 49,000/year, 23% earned $50,000 to 99,000/year, 11% earned $100,000 to 149,000/year, 3% earned $150,000 to 199,000/year, and 4% earned more than $200,000/year. VR-12 mental component summary (MCS) and physical component summary (PCS) scores were highest for those who earned $150,000 to 199,000/year (55.8 and 55.8) and lowest for those who earned less than $25,000/year (49.0 and 46.4). After adjusting for demographics, payer, and burn severity, 12-month MCS and PCS and 24-month PCS scores were negatively associated with Medicare payer (P < .05). Low income was not significantly associated with lower VR-12 scores. There was a peaking relationship between HRQL and middle-class income, but this trend was not significant after adjusting for covariates. Public payers, particularly Medicare, were independently associated with poorer HRQL. The findings might be used to identify those at risk of financial toxicity for targeting assistance during rehabilitation.

Capture rates of comorbidity measures at inpatient rehabilitation facilities after a stroke or brain injury.

BACKGROUND: Comorbidity indices have been used to represent the overall medical complexity of patient populations in clinical research; however, it is not known how well they capture the comorbidities of patients with a stroke or brain injury admitted to inpatient rehabilitation facilities (IRFs). OBJECTIVE: To determine how well commonly used comorbidity indices capture the comorbidities of patients admitted to IRFs after a stroke or brain injury. DESIGN: Cross-sectional, retrospective study. SETTING: IRFs nationwide. PARTICIPANTS: Adults from four impairment groups: (1) hemorrhagic stroke, (2) ischemic stroke, (3) nontraumatic brain injury (NTBI), and (4) traumatic brain injury (TBI). MAIN OUTCOME MEASURES: International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes were extracted from the Uniform Data System for Medical Rehabilitation (UDSMR) for IRF discharges from October 1, 2015 to December 31, 2017. The percentage of discharges captured by Deyo-Charlson, Elixhauser, and Centers for Medicare and Medicaid Services (CMS) tiers was determined, as was the percentage of comorbidities captured. These measures were also compared with respect to their ability to capture chronic medical complexity by examining the percentage of codes captured after removal of codes deemed to represent hospital complications or sequela of the admission diagnosis. RESULTS: The percentage of discharges without at least one ICD-10-CM code captured by any index ranged from 0.3%-3.8%. The percentage of comorbidities with a prevalence exceeding 1% captured by at least one index ranged from 37.1%-43.6%. Chronic comorbidities were most likely to be captured by Elixhauser (40.7%-44.4%), followed by Deyo-Charlson (7.8%-9.6%), then CMS tiers (4.5%-6.9%). Existing comorbidity measures capture most IRF discharges related to a brain injury or stroke, whereas most medical comorbidities escape representation. Several common, functionally relevant diagnoses were not captured. CONCLUSION: The use of comorbidity indices in the IRF neurologic injury population should account for the fact that these measures miss several common, important comorbidities.

Item Pool Development for the School-Aged Life Impact Burn Recovery Evaluation Profile Computerized Adaptive Test: An Observer-Reported Outcome Assessment Measuring the Impact of Burn Injuries in School-Aged Children.

The transition from early childhood to teen years (5-12) is a critical time of development, which can be made particularly challenging by a burn injury. Assessing postburn recovery during these years is important for improving pediatric survivors' development and health outcomes. Few validated burn-specific measures exist for this age group. The purpose of this study was to generate item pools that will be used to create a future computerized adaptive test (CAT) assessing postburn recovery in school-aged children. Item pool development was guided by the previously developed School-Aged Life Impact Burn Recovery Evaluation (SA-LIBRE5-12) conceptual framework. The item pool development process involved a systematic literature review, extraction of candidate items from existing legacy measures, iterative item review during expert consensus meetings, and parent cognitive interviews. The iterative item review with experts consisted of six rounds. A total of 10 parent cognitive interviews were conducted. The three broad themes of concern were items that needed 1) clarification, needed context, or were vague, 2) age dependence and relevance, and 3) word choice. The cognitive interviews indicated that survey instructions, recall period, item stem, and response choices were interpretable by respondents. Final item pool based on parental feedback consists of 57, 81, and 60 items in physical, psychological, and family and social functioning, respectively. Developed item pools (n = 198) in three domains are consistent with the existing conceptual framework. The next step involves field testing the item pool and calibration using item response theory to develop and validate the SA-LIBRE5-12 CAT Profile.

For-Profit and Not-for-Profit Inpatient Rehabilitation in Traumatic Brain Injury: Analysis of Demographics and Outcomes.

OBJECTIVE: To describe differences in characteristics and outcomes of patients with traumatic brain injury by inpatient rehabilitation facility (IRF) profit status. DESIGN: Retrospective database review using the Uniform Data System for Medical Rehabilitation. SETTING: IRFs. PARTICIPANTS: Individual discharges (N=53,630) from 877 distinct rehabilitation facilities for calendar years 2016 through 2018. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Patient demographic data (age, race, primary payer source), admission and discharge FIM, FIM gain, length of stay efficiency, acute hospital readmission from for-profit and not-for-profit IRFs within 30 days, and community discharges by facility profit status. RESULTS: Patients at for-profit facilities were significantly older (69.69 vs 64.12 years), with lower admission FIM scores (52 vs 57), shorter lengths of stay (13 vs 15 days), and higher discharge FIM scores (88 vs 86); for-profit facilities had higher rates of community discharges (76.8% vs 74.6%) but also had higher rates of readmission (10.3% vs 9.9%). CONCLUSIONS: The finding that for-profit facilities admit older patients who are reportedly less functional on admission and more functional on discharge, with higher rates of community discharge but higher readmission rates than not-for-profit facilities is an unexpected and potentially anomalous finding. In general, older, less functional patients who stay for shorter periods of time would not necessarily be expected to make greater functional gains. These differences should be further studied to determine if differences in patient selection, coding and/or billing, or other unreported factors underlie these differences.

Variation in 30-Day Readmission Rates from Inpatient Rehabilitation Facilities to Acute Care Hospitals.

OBJECTIVES: To quantify the rate of readmission from inpatient rehabilitation facilities (IRFs) to acute care hospitals (ACHs) during the first 30 days of rehabilitation stay. To measure variation in 30-day readmission rate across IRFs, and the extent that patient and facility characteristics contribute to this variation. DESIGN: Retrospective analysis of an administrative database. SETTING AND PARTICIPANTS: Adult IRF discharges from 944 US IRFs captured in the Uniform Data System for Medical Rehabilitation database between October 1, 2015 and December 31, 2017. METHODS: Multilevel logistic regression was used to calculate adjusted rates of readmission within 30 days of IRF admission and examine variation in IRF readmission rates, using patient and facility-level variables as predictors. RESULTS: There were a total of 104,303 ACH readmissions out of a total of 1,102,785 IRFs discharges. The range of 30-day readmission rates to ACHs was 0.0%‒28.9% (mean = 8.7%, standard deviation = 4.4%). The adjusted readmission rate variation narrowed to 2.8%‒17.5% (mean = 8.7%, standard deviation = 1.8%). Twelve patient-level and 3 facility-level factors were significantly associated with 30-day readmission from IRF to ACH. A total of 82.4% of the variance in 30-day readmission rate was attributable to the model predictors. CONCLUSIONS AND IMPLICATIONS: Fifteen patient and facility factors were significantly associated with 30-day readmission from IRF to ACH and explained the majority of readmission variance. Most of these factors are nonmodifiable from the IRF perspective. These findings highlight that adjusting for these factors is important when comparing readmission rates between IRFs.

Coincident rapid expansion of two SARS-CoV-2 lineages with enhanced infectivity in Nigeria.

The emergence of new SARS-CoV-2 variants with enhanced transmissibility or decreased susceptibility to immune responses is a major threat to global efforts to end the coronavirus disease 2019 (COVID-19) pandemic. Disparities in viral genomic surveillance capabilities and efforts have resulted in gaps in our understanding of the viral population dynamics across the globe. Nigeria, despite having the largest population of any nation in Africa, has had relatively little SARS-CoV-2 sequence data made publicly available. Here we report the whole-genome sequences of 74 SARS-CoV-2 isolates collected from individuals in Oyo State, Nigeria in January 2021. Most isolates belonged to either the B.1.1.7 Alpha "variant of concern" or the B.1.525 Eta lineage, which is currently considered a "variant of interest" containing multiple spike protein mutations previously associated with enhanced transmissibility and possible immune escape. Nigeria has the highest reported frequency of the B.1.525 lineage globally with phylogenetic characteristics consistent with a recent monophyletic origin and rapid expansion. Spike protein from the B.1.525 lineage displayed both increased infectivity and decreased neutralization by convalescent sera compared to Spike proteins from other clades. These results, along with indications that the virus is outpacing the B.1.1.7 lineage in Nigeria, suggest that the B.1.525 lineage represents another "variant of concern" and further underline the importance of genomic surveillance in undersampled regions across the globe.

Interpreting Life Impact Burn Recovery Evaluation Profile Scores for Use by Clinicians, Burn Survivors, and Researchers.

The Life Impact Burn Recovery Evaluation (LIBRE) Profile is a patient-reported outcome measure developed to assess social participation in adult burn survivors. This study identified numeric score cut-points that define different levels of social participation ability and described each level. An expert panel identified numeric score cut-points that distinguish different levels of social participation for the six LIBRE Profile domains. Methods employed an iterative, modified-Delphi approach, and bookmarking to review calibrated item banks. Analyses (using calibration sample data and repeated in a validation sample) examined means, SDs, and sample distributions for each level. Analyses of variance examined score differences between levels. The panel developed descriptions for each established level. Initial cut-points resulted in four levels for five domains (Social Activities, Social Interactions, Romantic Relationships, Sexual Relationships, and Work & Employment) and five levels for the sixth domain (Relationships with Family & Friends). Comparisons demonstrated significant differences between level mean scores for all domains (P < .05) except Relationships with Family & Friends. Based on follow-up surveys, Relationships with Family & Friends score cut-points were adjusted to identify four levels with significant score differences between all levels. Panelists reached consensus for level descriptions. Score cut-points and descriptions identify different levels of social participation, providing a relevant context for interpreting LIBRE Profile numeric scores. LIBRE Profile Social Participation levels will help clinicians and persons with burn injury interpret LIBRE Profile numeric scores and promote use of this important new assessment.

Considerations for the Management of Oncology Patients During the COVID-19 Pandemic.

Worldwide incidence and mortality due to the coronavirus disease 2019 (COVID-19) pandemic is greatest in the United States, with the initial epicenter in New York. In Nassau County, New York, where we practice, our institution has had more than 2500 cases and has discharged from the hospital more than 1000 patients. As many academic and private institutions have swiftly shifted their clinical and research priorities to address the pandemic, data are emerging regarding both the impact of malignancy on COVID-19 outcomes as well as the challenges faced in assuring that cancer care remains unimpeded. Of concern, recent studies of cancer patients primarily in China and Italy have suggested that advanced malignancy is associated with increased susceptibility to severe COVID-19 infection. At present, more than 500 clinical trials are underway investigating the pathogenesis and treatment of COVID-19, including expanded use of oncology drugs, such as small molecular inhibitors of cytokine pathways. Here, we begin by reviewing the latest understanding of COVID-19 pathophysiology and then focus our attention on the impact of this virus on hematologic and oncologic practice. Finally, we highlight ongoing investigational treatment approaches that are so relevant to the care of oncology patients during this extraordinary pandemic.

Inhalation injury is associated with long-term employment outcomes in the burn population: Findings from a cross-sectional examination of the Burn Model System National Database.

INTRODUCTION: Inhalation injuries carry significant acute care burden including prolonged ventilator days and length of stay. However, few studies have examined post-acute outcomes of inhalation injury survivors. This study compares the long-term outcomes of burn survivors with and without inhalation injury. METHODS: Data collected by the Burn Model System National Database from 1993 to 2019 were analyzed. Demographic and clinical characteristics for adult burn survivors with and without inhalation injury were examined. Outcomes included employment status, Short Form-12/Veterans Rand-12 Physical Composite Score (SF-12/VR-12 PCS), Short Form-12/Veterans Rand-12 Mental Composite Score (SF-12/VR-12 MCS), and Satisfaction With Life Scale (SWLS) at 24 months post-injury. Regression models were used to assess the impacts of sociodemographic and clinical covariates on long-term outcome measures. All models controlled for demographic and clinical characteristics. RESULTS: Data from 1,871 individuals were analyzed (208 with inhalation injury; 1,663 without inhalation injury). The inhalation injury population had a median age of 40.1 years, 68.8% were male, and 69% were White, non-Hispanic. Individuals that sustained an inhalation injury had larger burn size, more operations, and longer lengths of hospital stay (p<0.001). Individuals with inhalation injury were less likely to be employed at 24 months post-injury compared to survivors without inhalation injury (OR = 0.63, p = 0.028). There were no significant differences in PCS, MCS, or SWLS scores between groups in adjusted regression analyses. CONCLUSIONS: Burn survivors with inhalation injury were significantly less likely to be employed at 24 months post-injury compared to survivors without inhalation injury. However, other health-related quality of life outcomes were similar between groups. This study suggests distinct long-term outcomes in adult burn survivors with inhalation injury which may inform future resource allocation and treatment paradigms.

Assessing the Ability of Comorbidity Indexes to Capture Comorbid Disease in the Inpatient Rehabilitation Spinal Cord Injury Population.

OBJECTIVE: To examine whether commonly used comorbidity indexes (Deyo-Charlson comorbidity index, Elixhauser comorbidity index, the Centers for Medicare and Medicaid Services [CMS] comorbidity tiers) capture comorbidities in the acute traumatic and nontraumatic SCI inpatient rehabilitation population. DESIGN: Retrospective cross-sectional study. PARTICIPANTS: Data were obtained from the Uniform Data System for Medical Rehabilitation from October 1, 2015 to December 31, 2017 for adults with spinal cord injury (SCI) (Medicare-established Impairment Group Codes 04.110-04.230, 14.1, 14.3). This study included SCI discharges (N=66,235) from 833 inpatient rehabilitation facilities. MAIN OUTCOME MEASURES: International Classification of Diseases-10th Revision-Clinical Modifications (ICD-10-CM) codes were used to assess 3 comorbidity indexes (Deyo-Charlson comorbidity index, Elixhauser comorbidity index, CMS comorbidity tiers). The comorbidity codes that occurred with >1% frequency were reported. The percentages of discharges for which no comorbidities were captured by each comorbidity index were calculated. RESULTS: Of the total study population, 39,285 (59.3%) were men and 11,476 (17.3%) were tetraplegic. The mean number of comorbidities was 14.7. There were 13,939 distinct ICD-10-CM comorbidity codes. There were 237 comorbidities that occurred with >1% frequency. The Deyo-Charlson comorbidity index, Elixhauser comorbidity index, and the CMS tiers did not capture comorbidities of 58.4% (95% confidence interval, 58.08%-58.84%), 29.4% (29.07%-29.76%), and 66.1% (65.73%-66.46%) of the discharges in our study, respectively, and 28.8% (28.42%-29.11%) of the discharges did not have any comorbidities captured by any of the comorbidity indexes. CONCLUSION: Commonly used comorbidity indexes do not reflect the extent of comorbid disease in the SCI rehabilitation population. This work suggests that alternative measures may be needed to capture the complexity of this population.

High-Risk Chief Complaints I: Chest Pain-The Big Three (an Update).

Nontraumatic chest pain is a frequent concern of emergency department patients, with causes that range from benign to immediately life threatening. Identifying those patients who require immediate/urgent intervention remains challenging and is a high-risk area for emergency medicine physicians where incorrect or delayed diagnosis may lead to significant morbidity and mortality. This article focuses on the 3 most prevalent diagnoses associated with adverse outcomes in patients presenting with nontraumatic chest pain, acute coronary syndrome, thoracic aortic dissection, and pulmonary embolism. Important aspects of clinical evaluation, diagnostic testing, treatment, and disposition and other less common causes of lethal chest pain are also discussed.

Geographic Variation in Outcomes After Burn Injury: A Burn Model System National Database Study.

BACKGROUND: Geography is an important yet underexplored factor that may influence the care and outcomes of burn survivors. This study aims to examine the impact of geography on physical and psychosocial function after burn injury. METHODS: Data from the Burn Model Systems National Database (1997-2015) were analyzed. Individuals 18 years and older who were alive at discharge were included. Physical and psychosocial functions were assessed at 6, 12, and 24 months postinjury using the following patient-reported outcome measures: Community Integration Questionnaire, Physical Composite Scale and Mental Composite Scale of the 12-Item Short Form Health Survey, Satisfaction with Appearance Scale, and Satisfaction with Life Scale. Descriptive statistics were generated for demographic and medical data, and mixed regression models were used to assess the impact of geography on long-term outcomes. RESULTS: The study included 469 burn survivors from the Centers for Medicare and Medicaid Services regions 10, 31 from region 8, 477 from region 6, 267 from region 3, and 41 from region 1. Participants differed significantly by region in terms of race/ethnicity, burn size, burn etiology, and acute care length of stay (P < 0.001). In adjusted mixed model regression analyses, scores of all 5 evaluated outcome measures were found to differ significantly by region (P < 0.05). CONCLUSIONS: Several long-term physical and psychosocial outcomes of burn survivors vary significantly by region. This variation is not completely explained by differences in population characteristics. Understanding these geographical differences may improve care for burn survivors and inform future policy and resource allocation.

Racial/Ethnic Disparities in Longitudinal Trajectories of Community Integration After Burn Injury.

OBJECTIVES: The aim of this study was to examine potential racial/ethnic disparities in community integration for the 2 yrs after burn injury. DESIGN: A sample of 1773 adults with burn injury from the Burn Model Systems database was used with data on community integration collected at discharge (preinjury recall), 6, 12, and 24 mos after discharge. METHODS: Four sets of hierarchal linear models determined the most appropriate model for understanding racial/ethnic differences in Community Integration Questionnaire trajectories over time. RESULTS: Data indicated a decrease in community integration between discharge and 6 mos, a slight increase between 6 mos and 1 yr, and then a plateau between 1 and 2 yrs. White individuals had higher community integration score trajectories over time than black (b = 0.53, P < 0.001) and Hispanic (b = 0.58, P < 0.001) individuals, and community integration scores were similar between black and Hispanic individuals (b = -0.05, P = 0.788). These racial/ethnic disparities remained after accounting for age, sex, total burned surface area, number of days in rehabilitation, and active range of motion deficits. CONCLUSIONS: Additional rehabilitation resources should be targeted to helping black and Hispanic individuals integrate back into their communities after burn injury.

Residency and Fellowship Program Administrator Burnout: Measuring Its Magnitude.

BACKGROUND: Little is known about the level of burnout among program administrators (PAs) working in graduate medical education. OBJECTIVE: We created a national database with baseline burnout data for PAs from residency and fellowship programs, including intention to leave their current positions. METHODS: A cross-sectional study was conducted in July 2017 to assess levels of burnout in a national cohort of PAs, who were largely members of online specialty forums. The Copenhagen Burnout Inventory (CBI) was used to measure burnout. Univariate analysis produced descriptive statistics for CBI. We performed a 2-sample t test to measure differences in average burnout scores for those who had thoughts of resigning from their positions and those who had not. RESULTS: Of the approximately 10 205 national PAs, we sampled 1126 (11%). Of the 1126 individuals who received the study information, 931 (83%) completed the baseline survey. Total mean scores for all subscales were elevated (personal: 53.7, SD 21.4; work-related: 52.0, SD 22; and client-related: 30.6, SD 20.8; each scale ranged from 0, low, to 100, high). Burnout scores differed between those contemplating leaving their jobs and those who were not, across all subscales of CBI, including personal (64.2 versus 42.4, -24.18 to -19.44 confidence interval [CI]), work-related (63.5 versus 39.7, -26.12 to -21.35 CI), and client-related (36.6 versus 24.2, -14.95 to -9.84 CI; P < .0001 for all). CONCLUSIONS: In this national survey of PAs, burnout scores measured by the CBI were higher among those who had considered leaving their positions.

Variability in Institutional Board Review for a Multisite Assessment of Resident Professionalism.

Residents serve as both trainees and employees and can be considered potentially vulnerable research participants. This can lead to variation in the institutional review board (IRB) review. We studied sites participating in the Assessment of Professional Behaviors Study sponsored by the National Board of Medical Examiners (2009-2011). Of the 19 sites, all but one were university affiliated. IRB review varied; 2/19 did not submit to a local IRB, 4/17 (23%) were exempt, 11/17 (65%) were expedited, and 2/17 (12%) required full Board review; 12/17 (71%) required written informed consent. The interval from submission to approval was 1 to 2 months (8/17); the range was 1 to 7 months. Although most stated there were no major barriers to approval, the most common concern was resident coercion and loss of confidentiality. Local IRB review of this educational research study varied.