scholarly journals A cross-sectional study of neurosurgical department chairs in the United States

2018 ◽  
Vol 129 (5) ◽  
pp. 1342-1348 ◽  
Author(s):  
Patrick M. Flanigan ◽  
Arman Jahangiri ◽  
Joshua L. Golubovsky ◽  
Jaret M. Karnuta ◽  
Francis J. May ◽  
...  

OBJECTIVEThe position of neurosurgery department chair undergoes constant evolution as the health care landscape changes. The authors’ aim in this paper was to characterize career attributes of neurosurgery department chairs in order to define temporal trends in qualities being sought in neurosurgical leaders. Specifically, they investigated the hypothesis that increased qualifications in the form of additional advanced degrees and research acumen are becoming more common in recently hired chairs, possibly related to the increased complexity of their role.METHODSThe authors performed a retrospective study in which they collected data on 105 neurosurgeons who were neurosurgery department chairs as of December 31, 2016, at accredited academic institutions with a neurosurgery residency program in the United States. Descriptive data on the career of neurosurgery chairs, such as the residency program attended, primary subspecialty focus, and age at which they accepted their position as chair, were collected.RESULTSThe median age and number of years in practice postresidency of neurosurgery chairs on acceptance of the position were 47 years (range 36–63 years) and 14 years (range 6–33 years), respectively, and 87% (n = 91) were first-time chairs. The median duration that chairs had been holding their positions as of December 31, 2016, was 10 years (range 1–34 years). The most common subspecialties were vascular (35%) and tumor/skull base (27%), although the tendency to hire from these specialties diminished over time (p = 0.02). More recently hired chairs were more likely to be older (p = 0.02), have more publications (p = 0.007), and have higher h-indices (p < 0.001) at the time of hire. Prior to being named chair, 13% (n = 14) had a PhD, 4% (n = 4) had an MBA, and 23% (n = 24) were awarded a National Institutes of Health R01 grant, tendencies that were stable over time (p = 0.09–0.23), although when additional degrees were analyzed as a binary variable, chairs hired in 2010 or after were more likely to have an MBA and/or PhD versus those hired before 2010 (26% vs 10%, p = 0.04). The 3 most common residency programs attended by the neurosurgery chairs were Massachusetts General Hospital (n = 8, 8%), University of California, San Francisco (n = 8, 8%), and University of Michigan (n = 6, 6%). Most chairs (n = 63, 61%) attended residency at the institution and/or were staff at the institution before they were named chair, a tendency that persisted over time (p = 0.86).CONCLUSIONSMost neurosurgery department chairs matriculated into the position before the age of 50 years and, despite selection processes usually involving a national search, most chairs had a previous affiliation with the department, a phenomenon that has been relatively stable over time. In recent years, a large increase has occurred in the proportion of chairs with additional advanced degrees and more extensive research experience, underscoring how neurosurgical leadership has come to require scientific skills and the ability to procure grants, as well as the financial skills needed to navigate the ever-changing financial health care landscape.

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Sai P Polineni ◽  
Fadar O Otite ◽  
Seemant Chaturvedi

Background: The aim of this study is to evaluate current trends in racial, age, and sex-specific utilization of decompressive hemicraniectomy (HC) in acute ischemic stroke (AIS) patients in the United States over the last decade. Methods: All adult patients with a diagnosis of AIS were identified from the 2004-2015 Nationwide Inpatient Sample (weighted N=4,792,428) using International Classification of Diseases Ninth revision (ICD-9) codes. Proportion of patients undergoing HC in various age, race, and sex groups were ascertained using ICD-9 procedural codes. Temporal trends were mapped by year in order to track changes in utilization over time. Analysis of utilization disparities and trends within age, sex, and race subgroups was conducted via multivariate logistic regression. Results: Of all eligible AIS patients from 2004-2015, 0.25% underwent HC (.08 in 2004 to .46 in 2015). Increased utilization over time was seen in both men (.13 to .57) and women (.08 to .54), with women showing comparable odds of utilization to men [OR: 0.95 (95% CI: .87-1.04, p=0.27)]. Similarly, increased utilization trends were seen in all age groups (Figure 1) with the highest rates in the 18-39 subgroup (1.41%). Compared to trends in this younger subgroup (.43 to 2.12), patients aged 60-79 experienced a similar overall increase but at lower utilization rates (.06 to .37). Compared to white patients in multivariate models, blacks did not show significant differences in odds of HC [1.09 (.96-1.24, p=0.20)], while patients from Hispanic [1.25 (1.03-1.51, p=0.02)] and other [1.26 (1.04-1.52, p=0.02)] race-ethnic groups showed increased odds. Conclusions: From 2004-2015, hemicraniectomy rates have seen substantial increases in all age, sex, and race groups. The increasing rates of hemicraniectomies among those over age 60 suggest that there has been at least partial acceptance of DESTINY 2 study results.


2019 ◽  
Vol 17 (3.5) ◽  
pp. HSR19-083
Author(s):  
Jessica A. Davis ◽  
Zhanglin Lin Cui ◽  
Madiha Ghias ◽  
Xiaohong Li ◽  
Robert Goodloe ◽  
...  

Background: Previous work has demonstrated treatment (tx) heterogeneity in the care of patients with aGC/GEJ. This study was designed to examine heterogeneity temporal trends and OS in patients with aGC/aGEJ in the United States from 2011 to 2018. Methods: The Flatiron Advanced/metastatic gastric/esophageal cohort electronic medical records (EMR) data were used for this study. Eligible patients were adults receiving anticancer therapy for aGC/GEJ during the study period. Tx patterns were summarized by line of therapy. Drugs were grouped by class. Heterogeneity was measured using the Herfindahl-Hirschman index (HHI); HHI scores range from 0.0000 (complete heterogeneity) to 1.0000 (complete homogeneity). A difference of 0.1000 in HHI scores is considered to be practically meaningful. HHI scores were calculated for each clinic with ≥10 patients. OS was estimated using Kaplan-Meier method. Trend analyses were conducted for HHI scores over time using a linear regression model. Results: There were 2,912 patients who met eligibility criteria. The median age of the study cohort was 67 years; majority were male (70.9%) and white (61.1%). aGC patients comprised the majority (n=1,630, 55.9%). Median OS from the start of first-line (1L) therapy was 12.7 months (95% CI: 12.07, 13.6). The most common 1L regimens were fluoropyrimidine + oxaliplatin (n=651, 22.4%), platinum (ie, cisplatin or carboplatin) + taxane (n=511, 17.5%), and single-agent fluoropyrimidine (n=280, 9.6%). 1,230 patients received second line (2L) and the most common regimens were ramucirumab + taxane (n=203, 16.5%), fluoropyrimidine + oxaliplatin (n=155, 12.6%), and platinum + taxane (n=101, 8.2%). Overall median HHI for 1L was 0.1728 (min/max: 0.0926–0.4380). Median 1L HHI for 2011–2012 was 0.21665 (min/max: 0.1626–0.3156) and was 0.2419 (min/max 0.1716–0.4583) for 2017–2018. There were no significant differences in HHI score over time (P=.078). Overall median HHI for 2L was 0.1309 (min/max: 0.0694–0.2400). Due to small number of sites with ≥10 patients, data in 2L were too limited to conduct time trend analyses. Conclusions: Heterogeneity in 1L treatment of gastric/GEJ cancer persists, despite the continued refinement of guidelines and approval of new drugs in subsequent lines of therapy. Further analyses are needed to examine the relationship between heterogeneity, guideline adherence, and patient outcomes. These future data will shed light on the persistence of heterogeneous treatment patterns observed in the United States.


2004 ◽  
Vol 52 (8) ◽  
pp. 401-406 ◽  
Author(s):  
Koh Takeuchi ◽  
Masaki Otaki ◽  
Nobuo Kitamura ◽  
Satoru Odagiri ◽  
Katsuhide Maeda ◽  
...  

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Jingyu Cui ◽  
Jingwei Lu ◽  
Yijia Weng ◽  
Grace Y. Yi ◽  
Wenqing He

Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has posed a significant influence on public mental health. Current efforts focus on alleviating the impacts of the disease on public health and the economy, with the psychological effects due to COVID-19 relatively ignored. In this research, we are interested in exploring the quantitative characterization of the pandemic impact on public mental health by studying an online survey dataset of the United States. Methods The analyses are conducted based on a large scale of online mental health-related survey study in the United States, conducted over 12 consecutive weeks from April 23, 2020 to July 21, 2020. We are interested in examining the risk factors that have a significant impact on mental health as well as in their estimated effects over time. We employ the multiple imputation by chained equations (MICE) method to deal with missing values and take logistic regression with the least absolute shrinkage and selection operator (Lasso) method to identify risk factors for mental health. Results Our analysis shows that risk predictors for an individual to experience mental health issues include the pandemic situation of the State where the individual resides, age, gender, race, marital status, health conditions, the number of household members, employment status, the level of confidence of the future food affordability, availability of health insurance, mortgage status, and the information of kids enrolling in school. The effects of most of the predictors seem to change over time though the degree varies for different risk factors. The effects of risk factors, such as States and gender show noticeable change over time, whereas the factor age exhibits seemingly unchanged effects over time. Conclusions The analysis results unveil evidence-based findings to identify the groups who are psychologically vulnerable to the COVID-19 pandemic. This study provides helpful evidence for assisting healthcare providers and policymakers to take steps for mitigating the pandemic effects on public mental health, especially in boosting public health care, improving public confidence in future food conditions, and creating more job opportunities. Trial registration This article does not report the results of a health care intervention on human participants.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Fadar O Otite ◽  
Priyank Khandelwal ◽  
Amer M Malik ◽  
Seemant Chaturvedi ◽  
Ralph L Sacco ◽  
...  

Background: Data on medical complications following intracerebral hemorrhage (ICH) are sparse. We assessed trends in the prevalence of urinary tract infection (UTI), pneumonia, sepsis, deep venous thrombosis (DVT), pulmonary embolism (PE), acute renal failure (ARF) and acute myocardial infarction (AMI) following ICH in the United States and evaluated their association with in-hospital mortality (IM), cost, length-of-stay (LOS) and home disposition (HD). Methods: Adults admitted to US hospitals from 2004-2013 (n=582,736) were identified from the Nationwide Inpatient Sample. Weighted complication risks were computed by sex and by mechanical ventilation (MV) status. Multivariate models were used to evaluate trends in complication and to assess their association with IM, cost, LOS, and HD. Results: Overall risks of UTI, pneumonia, sepsis, DVT, PE, ARF and AMI following ICH were 14.8%, 7.7%, 4.1%, 2.7%, 0.7%, 8.2% and 2.0% respectively. Risks differed by sex (UTI: females (F) 19.8% vs males (M) 9.9%; ARF: M 10.6% vs F 5.9%; sepsis: M 4.8% vs F 3.4%) and by MV status (pneumonia: MV 17.7% vs non-MV 3.9%; DVT: MV 4.3% vs non-MV 3.2%). From 2004 to 2103, odds of DVT and ARF increased while odds of pneumonia, sepsis and mortality declined over time (figure 1). Each complication was associated with > 2.5-day increase in mean LOS, > $8,000 increase in cost and reduced odds of HD. ARF and AMI were associated with increased IM in all patients; sepsis and pneumonia were associated with increased IM only in non-MV patients while UTI and DVT were associated with reduced IM in all patients. Conclusion and Relevance: Despite IM reduction, ARF and DVT risk following ICH in the US have increased while odds of sepsis and pneumonia have declined over time. All complications were associated with increased cost, LOS and reduced odds of HD but their associations with IM were variable, likely due in part to survival bias. Innovative strategies are needed to prevent ICH-associated medical complications.


2020 ◽  
Author(s):  
Brian Neelon ◽  
Fedelis Mutiso ◽  
Noel T Mueller ◽  
John L Pearce ◽  
Sara E Benjamin-Neelon

Background: Emerging evidence suggests that socially vulnerable communities are at higher risk for coronavirus disease 2019 (COVID-19) outbreaks in the United States. However, no prior studies have examined temporal trends and differential effects of social vulnerability on COVID-19 incidence and death rates. The purpose of this study was to examine temporal trends among counties with high and low social vulnerability and to quantify disparities in these trends over time. We hypothesized that highly vulnerable counties would have higher incidence and death rates compared to less vulnerable counties and that this disparity would widen as the pandemic progressed. Methods: We conducted a retrospective longitudinal analysis examining COVID-19 incidence and death rates from March 1 to August 31, 2020 for each county in the US. We obtained daily COVID-19 incident case and death data from USAFacts and the Johns Hopkins Center for Systems Science and Engineering. We classified counties using the Social Vulnerability Index (SVI), a percentile-based measure from the Centers for Disease Control and Prevention in which higher scores represent more vulnerability. Using a Bayesian hierarchical negative binomial model, we estimated daily risk ratios (RRs) comparing counties in the first (lower) and fourth (upper) SVI quartiles. We adjusted for percentage of the county designated as rural, percentage in poor or fair health, percentage of adult smokers, county average daily fine particulate matter (PM2.5), percentage of primary care physicians per 100,000 residents, and the proportion tested for COVID-19 in the state. Results: In unadjusted analyses, we found that for most of March 2020, counties in the upper SVI quartile had significantly fewer cases per 100,000 than lower SVI quartile counties. However, on March 30, we observed a crossover effect in which the RR became significantly greater than 1.00 (RR = 1.10, 95% PI: 1.03, 1.18), indicating that the most vulnerable counties had, on average, higher COVID-19 incidence rates compared to least vulnerable counties. Upper SVI quartile counties had higher death rates on average starting on March 30 (RR = 1.17, 95% PI: 1.01,1.36). The death rate RR achieved a maximum value on July 29 (RR = 3.22, 95% PI: 2.91, 3.58), indicating that most vulnerable counties had, on average, 3.22 times more deaths per million than the least vulnerable counties. However, by late August, the lower quartile started to catch up to the upper quartile. In adjusted models, the RRs were attenuated for both incidence cases and deaths, indicating that the adjustment variables partially explained the associations. We also found positive associations between COVID-19 cases and deaths and percentage of the county designated as rural, percentage of resident in fair or poor health, and average daily PM2.5. Conclusions: Results indicate that the impact of COVID-19 is not static but can migrate from less vulnerable counties to more vulnerable counties over time. This highlights the importance of protecting vulnerable populations as the pandemic unfolds.


2006 ◽  
Vol 135 (2) ◽  
pp. 293-301 ◽  
Author(s):  
T. F. JONES ◽  
M. B. McMILLIAN ◽  
E. SCALLAN ◽  
P. D. FRENZEN ◽  
A. B. CRONQUIST ◽  
...  

From 1996 to 2003, four 12-month population-based surveys were performed in FoodNet sites to determine the burden of diarrhoeal disease in the population. Acute diarrhoeal illness (ADI) was defined as [ges ]3 loose stools in 24 hours with impairment of daily activities or duration of diarrhoea >1 day. A total of 52840 interviews were completed. The overall weighted prevalence of ADI in the previous month was 5·1% (95% CI±0·3%), corresponding to 0·6 episodes of ADI per person per year. The average monthly prevalence of ADI was similar in each of the four survey cycles (range 4·5–5·2%). Rates of ADI were highest in those age <5 years. Of those with ADI, 33·8% (95% CI±2·7%) reported vomiting, 19·5% (95% CI±2·1%) visited a medical provider, and 7·8% (95% CI±1·4%) took antibiotics. Rates of ADI were remarkably consistent over time, and demonstrate the substantial burden placed on the health-care system.


Author(s):  
Rashmee U Shah ◽  
Stephanie Rutten-Ramos ◽  
Ross Garberich ◽  
Mourad Tighiouart ◽  
Timothy D Henry ◽  
...  

Objective: We sought to quantify changes in STEMI mortality and percutaneous coronary intervention (PCI) use in the United States (US) from 2002 to 2010. Methods: We used the Nationwide Inpatient Sample (NIS), an all-payer discharge database, to create estimates of STEMI, STEMI in-hospital mortality, and PCI use. The NIS includes hospitals selected to approximate 20% of all non-federal US hospitals and includes weights to create national estimates. STEMI cases were identified based on primary diagnostic code. High volume STEMI-PCI centers were defined as >36 cases/year, according to PCI guidelines. Temporal trends were evaluated with logistic regression, adjusted for patient and hospital characteristics. Discharges to other acute care facilities were excluded for outcomes analyses. Results: We identified 1,944,112 STEMI discharges in the US; mean age was 64 years, 34% were women, and 46% were Medicare insured. The absolute number of STEMI discharges declined from 299,441 in 2002 to 167,929 in 2010 (Figure). The number of hospitals performing zero STEMI-related PCIs decreased from 75% (3633/4840) to 68% (3514/5134) between 2002 and 2010. The number of high volume centers increased from 20% (949/4840) to 24% (1235/4840) over the same period. Overall, 64% (1,145,196/1,783,825) of discharges received PCI and 8.5% (151,528/1,783,825) died during hospitalization. PCI use increased and mortality decreased over time (Figure). The adjusted odds of PCI use for STEMI discharges increased over three fold during the study period (OR 3.51 in 2010 versus 2002, 95% CI 3.21 to 3.83). The adjusted odds of death decreased by one fifth (OR 0.81 in 2010 versus 2002, 95% CI 0.75 to 0.87). Inclusion of PCI in the model attenuated the effect of year on death (OR 1.06 in 2010 versus 2002, 95% CI 0.98 to 1.14). Conclusions: In this study we demonstrate favorable trends in STEMI outcomes. Between 2002 and 2010, the absolute number of STEMIs in the US decreased, while more hospitals provided PCI for STEMI. Over time, more discharges were treated with PCI and fewer died during hospitalization.


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