scholarly journals The impact of teaching on the duration of common urological operations

2016 ◽  
Vol 10 (5-6) ◽  
pp. 172 ◽  
Author(s):  
Blayne Welk ◽  
Jennifer Winick-Ng ◽  
Andrew McClure ◽  
Chris Vinden ◽  
Sumit Dave ◽  
...  
Keyword(s):  
Radical Prostatectomy ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Potential Effect ◽  
Sensitivity Analyses ◽  
Teaching Hospitals ◽  
Operative Duration ◽  
Open Radical Prostatectomy ◽  
Academic Hospitals ◽  
The Impact

Introduction: The ability of academic (teaching) hospitals to offer the same level of efficiency as non-teaching hospitals in a publicly funded healthcare system is unknown. Our objective was to compare the operative duration of general urology procedures between teaching and non-teaching hospitals. Methods: We used administrative data from the province of Ontario to conduct a retrospective cohort study of all adults who underwent a specified elective urology procedure (2002–2013). Primary outcome was duration of surgical procedure. Primary exposure was hospital type (academic or non-teaching). Negative binomial regression was used to adjust relative time estimates for age, comorbidity, obesity, anesthetic, and surgeon and hospital case volume.Results: 114 225 procedures were included (circumcision n=12 280; hydrocelectomy n=7221; open radical prostatectomy n=22 951; transurethral prostatectomy n=56 066; or mid-urethral sling n=15 707). These procedures were performed in an academic hospital in 14.8%, 13.3%, 28.6%, 17.1%, and 21.3% of cases, respectively. The mean operative duration across all procedures was higher in academic centres; the additional operative time ranged from 8.3 minutes (circumcision) to 29.2 minutes (radical prostatectomy). In adjusted analysis, patients treated in academic hospitals were still found to have procedures that were significantly longer (by 10‒21%). These results were similar in sensitivity analyses that accounted for the potential effect of more complex patients being referred to tertiary academic centres.Conclusions: Five common general urology operations take significantly longer to perform in academic hospitals. The reason for this may be due to the combined effect of teaching students and residents or due to inherent systematic inefficiencies within large academic hospitals.

scholarly journals Association Between Federal Value-Based Incentive Program Implementation and Hospital-Onset C. difficile Infection Rates

2020 ◽  
Vol 41 (S1) ◽  
pp. s133-s133
Author(s):  
Mohammad Alrawashdeh ◽  
Chanu Rhee ◽  
Heather Hsu ◽  
Grace Lee
Keyword(s):  
Program Implementation ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Neutralization Assay ◽  
Nucleic Acid Amplification ◽  
Teaching Hospitals ◽  
Future Research ◽  
Testing Methods ◽  
Toxigenic Culture ◽  
The Impact

Background: The Hospital-Acquired Conditions Reduction Program (HACRP) and Hospital Value-Based Purchasing (HVBP) are federal value-based incentive programs that financially reward or penalize hospitals based on quality metrics. Hospital-onset C. difficile infection (HO-CDI) rates reported to the CDC NHSN became a target quality metric for both HACRP and HVBP in October 2016, but the impact of these programs on HO-CDI rates is unknown. Methods: We used an interrupted time-series design to examine the association between HACRP/HVBP implementation in October 2016 and quarterly rates of HO-CDI per 10,000 patient days among incentive-eligible acute-care hospitals conducting facility-wide HO-CDI NHSN surveillance between January 2013 and March 2019. Generalized estimating equations were used to fit negative binomial regression models to assess for immediate program impact (ie, level change) and changes in the slope of HO-CDI rates, controlling for each hospital’s predominant method for CDI testing (nucleic acid amplification including PCR (NAAT), enzyme immunoassay for toxin (EIA), or other testing method including cell cytotoxicity neutralization assay and toxigenic culture). Results: Of the 265 study hospitals studied, most were medium-sized (100–399 beds, 55%), not-for-profit (77%), teaching hospitals (70%), and were located in a metropolitan area (87%). Compared to EIA, rates of HO-CDI were higher when detected by NAAT (incidence rate ratio [IRR], 1.55; 95% CI, 1.41–1.70) or other testing methods (IRR, 1.47; 95% CI, 1.26–1.71). Controlling for CDI testing methods, HACRP/HVBP implementation was associated with an immediate 6% decline in HO-CDI rates (IRR, 0.94; 95% CI, 0.89–0.99) and a 4% decline in slope per year-quarter thereafter (IRR, 0.96; 95% CI, 0.95–0.97) (Fig. 1). Conclusions: HACRP/HVBP implementation was associated with both immediate and gradual improvements in HO-CDI rates, independent of CDI testing methods of differing sensitivity. Future research may evaluate the precise mechanisms underlying this improvement and if this impact is sustained in the long term.Funding: NoneDisclosures: None

scholarly journals The cost of treatment and its related complications for men who receive surgery or radiation therapy for prostate cancer

2018 ◽  
Vol 13 (8) ◽  
Author(s):  
Alaina Garbens ◽  
Christopher J.D. Wallis ◽  
Rano Matta ◽  
Ronald Kodama ◽  
Sender Herschorn ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radical Prostatectomy ◽  
Negative Binomial ◽  
Relative Rate ◽  
Multivariable Analysis ◽  
Negative Binomial Regression ◽  
Population Based ◽  
Open Radical Prostatectomy ◽  
Medication Costs ◽  
Total Treatment

Introduction: We sought to examine the costs related to treatment and treatment-related complications for patients treated with surgery or radiation for localized prostate cancer.Methods: We performed a population-based, retrospective cohort study of men who underwent open radical prostatectomy or radiation from 2004‒2009 in Ontario, Canada. Costs, including initial treatment and inpatient hospitalization, emergency room visit, outpatient consultation, physician billings, and medication costs, were determined for five years following treatment using a validated costing algorithm. Multivariable negative binomial regression was used to assess the association between treatment modality and costs.Results: A total of 28 849 men underwent treatment for localized prostate cancer from 2004–2009. In the five years following treatment, men who underwent radiation (n=12 675) had 21% higher total treatment and treatment-related costs than men who underwent surgery ($16 716/person vs. $13 213/person). Based on multivariable analysis, while men who underwent XRT had a lower relative cost in their first year after treatment (relative rate [RR] 0.97; 95% confidence interval [CI] 0.94–1.0; p=0.025), after year 2, annual costs were significantly higher in the radiation group compared to the surgery group (total cost for year 5, RR 1.44; 95% CI 1.17–1.76; p<0.0001). Our results were similar when restricted to young, healthy men and to older men.Conclusions: Men who undergo radiation have significantly higher five-year total treatment-related costs compared to men who undergo open radical prostatectomy. While surgery was associated with slightly higher initial costs, radiotherapy had higher costs in subsequent years.

scholarly journals The Impact of Intra-Operative Cell Salvage During Open Radical Prostatectomy

2019 ◽  
Vol 45 (11) ◽  
pp. 2215
Author(s):  
Ned Kinnear ◽  
Bridget Heijkoop ◽  
Lina Hua ◽  
Derek Hennessey ◽  
Daniel Spernat
Keyword(s):  
Radical Prostatectomy ◽  
Cell Salvage ◽  
Open Radical Prostatectomy ◽  
The Impact

scholarly journals Ambient temperature and subsequent COVID-19 mortality in the OECD countries and individual United States

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Costas A. Christophi ◽  
Mercedes Sotos-Prieto ◽  
Fan-Yun Lan ◽  
Mario Delgado-Velandia ◽  
Vasilis Efthymiou ◽  
...  
Keyword(s):  
United States ◽  
Ambient Temperature ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Weather Conditions ◽  
Oecd Countries ◽  
Epidemiological Studies ◽  
Sociodemographic Factors ◽  
Sensitivity Analyses ◽  
Inverse Association

AbstractEpidemiological studies have yielded conflicting results regarding climate and incident SARS-CoV-2 infection, and seasonality of infection rates is debated. Moreover, few studies have focused on COVD-19 deaths. We studied the association of average ambient temperature with subsequent COVID-19 mortality in the OECD countries and the individual United States (US), while accounting for other important meteorological and non-meteorological co-variates. The exposure of interest was average temperature and other weather conditions, measured at 25 days prior and 25 days after the first reported COVID-19 death was collected in the OECD countries and US states. The outcome of interest was cumulative COVID-19 mortality, assessed for each region at 25, 30, 35, and 40 days after the first reported death. Analyses were performed with negative binomial regression and adjusted for other weather conditions, particulate matter, sociodemographic factors, smoking, obesity, ICU beds, and social distancing. A 1 °C increase in ambient temperature was associated with 6% lower COVID-19 mortality at 30 days following the first reported death (multivariate-adjusted mortality rate ratio: 0.94, 95% CI 0.90, 0.99, p = 0.016). The results were robust for COVID-19 mortality at 25, 35 and 40 days after the first death, as well as other sensitivity analyses. The results provide consistent evidence across various models of an inverse association between higher average temperatures and subsequent COVID-19 mortality rates after accounting for other meteorological variables and predictors of SARS-CoV-2 infection or death. This suggests potentially decreased viral transmission in warmer regions and during the summer season.

scholarly journals The association between a conditional cash transfer programme and malaria incidence: a longitudinal ecological study in the Brazilian Amazon between 2004 and 2015

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Layana Costa Alves ◽  
Mauro Niskier Sanchez ◽  
Thomas Hone ◽  
Luiz Felipe Pinto ◽  
Joilda Silva Nery ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Negative Binomial ◽  
Malaria Incidence ◽  
Panel Study ◽  
Negative Binomial Regression ◽  
Brazilian Amazon ◽  
Conditional Cash Transfer ◽  
Cash Transfer ◽  
Percentage Point Increase ◽  
The Impact

Abstract Background Malaria causes 400 thousand deaths worldwide annually. In 2018, 25% (187,693) of the total malaria cases in the Americas were in Brazil, with nearly all (99%) Brazilian cases in the Amazon region. The Bolsa Família Programme (BFP) is a conditional cash transfer (CCT) programme launched in 2003 to reduce poverty and has led to improvements in health outcomes. CCT programmes may reduce the burden of malaria by alleviating poverty and by promoting access to healthcare, however this relationship is underexplored. This study investigated the association between BFP coverage and malaria incidence in Brazil. Methods A longitudinal panel study was conducted of 807 municipalities in the Brazilian Amazon between 2004 and 2015. Negative binomial regression models adjusted for demographic and socioeconomic covariates and time trends were employed with fixed effects specifications. Results A one percentage point increase in municipal BFP coverage was associated with a 0.3% decrease in the incidence of malaria (RR = 0.997; 95% CI = 0.994–0.998). The average municipal BFP coverage increased 24 percentage points over the period 2004–2015 corresponding to be a reduction of 7.2% in the malaria incidence. Conclusions Higher coverage of the BFP was associated with a reduction in the incidence of malaria. CCT programmes should be encouraged in endemic regions for malaria in order to mitigate the impact of disease and poverty itself in these settings.

Impact of Monovalent Rotavirus Vaccine on Rotavirus Hospitalizations among Children Younger Than 5 Years of Age in the Ouest and Artibonite Departments, Haiti, 2013 to 2019

2021 ◽  
Author(s):  
Anne-Marie Desormeaux ◽  
Eleanor Burnett ◽  
Gérard Joseph ◽  
Mentor Ali Ber Lucien ◽  
Negar Aliabadi ◽  
...  
Keyword(s):  
Negative Binomial ◽  
Hospital Admissions ◽  
Absolute Number ◽  
Sensitivity Analyses ◽  
Rotavirus Vaccine ◽  
Vaccine Introduction ◽  
Rotavirus Vaccination ◽  
Before And After ◽  
Rotavirus Diarrhea ◽  
The Impact

Rotavirus is responsible for 26% of diarrheal deaths in Latin America and the Caribbean. Haiti introduced the monovalent rotavirus vaccine in April 2014. The objective of this analysis is to describe the impact of the rotavirus vaccine on hospitalizations among Haitian children younger than 5 years old during the first 5 years after introduction. This analysis includes all children with diarrhea who were enrolled as part of a sentinel surveillance system at two hospitals from May 2013 to April 2019. We compare the proportion of rotavirus-positive specimens in each post-vaccine introduction year to the pre-vaccine period. To account for the potential dilution of the proportion of rotavirus-positive specimens from a waning cholera outbreak, we also analyzed annual trends in the absolute number of positive stools, fit a two-component finite-mixture model to the negative specimens, and fit a negative binomial time series model to the pre-vaccine rotavirus-positive specimens to predict the number of rotavirus diarrhea hospital admissions in the absence of rotavirus vaccination. The overall percentage of rotavirus-positive specimens declined by 22% the first year after introduction, increased by 17% the second year, and declined by 33% to 50% the subsequent 3 years. All sensitivity analyses confirmed an overall decline. We observed a clear annual rotavirus seasonality before and after vaccine introduction, with the greatest activity in December through April, and a biennial pattern, with high sharp peaks and flatter longer periods of increased rotavirus activity in alternating years, consistent with suboptimal vaccination coverage. Overall, our study shows evidence that the introduction of the rotavirus vaccine reduced the burden of severe rotavirus diarrhea.

scholarly journals Trends of limb amputation considering type, level, sex and age in Saskatchewan, Canada 2006–2019: an in-depth assessment

2022 ◽  
Vol 80 (1) ◽  
Author(s):  
Samuel Kwaku Essien ◽  
David Kopriva ◽  
A. Gary Linassi ◽  
Audrey Zucker-Levin
Keyword(s):  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Limb Amputation ◽  
Annual Percent Change ◽  
Discharge Data ◽  
Resident Population ◽  
True Incidence ◽  
Depth Analysis ◽  
The Impact ◽  
Extremity Amputation

Abstract Background Most epidemiologic reports focus on lower extremity amputation (LEA) caused specifically by diabetes mellitus. However, narrowing scope disregards the impact of other causes and types of limb amputation (LA) diminishing the true incidence and societal burden. We explored the rates of LEA and upper extremity amputation (UEA) by level of amputation, sex and age over 14 years in Saskatchewan, Canada. Methods We calculated the differential impact of amputation type (LEA or UEA) and level (major or minor) of LA using retrospective linked hospital discharge data and demographic characteristics of all LA performed in Saskatchewan and resident population between 2006 and 2019. Rates were calculated from total yearly cases per yearly Saskatchewan resident population. Joinpoint regression was employed to quantify annual percentage change (APC) and average annual percent change (AAPC). Negative binomial regression was performed to determine if LA rates differed over time based on sex and age. Results Incidence of LEA (31.86 ± 2.85 per 100,000) predominated over UEA (5.84 ± 0.49 per 100,000) over the 14-year study period. The overall LEA rate did not change over the study period (AAPC -0.5 [95% CI − 3.8 to 3.0]) but fluctuations were identified. From 2008 to 2017 LEA rates increased (APC 3.15 [95% CI 1.1 to 5.2]) countered by two statistically insignificant periods of decline (2006–2008 and 2017–2019). From 2006 to 2019 the rate of minor LEA steadily increased (AAPC 3.9 [95% CI 2.4 to 5.4]) while major LEA decreased (AAPC -0.6 [95% CI − 2.1 to 5.4]). Fluctuations in the overall LEA rate nearly corresponded with fluctuations in major LEA with one period of rising rates from 2010 to 2017 (APC 4.2 [95% CI 0.9 to 7.6]) countered by two periods of decline 2006–2010 (APC -11.14 [95% CI − 16.4 to − 5.6]) and 2017–2019 (APC -19.49 [95% CI − 33.5 to − 2.5]). Overall UEA and minor UEA rates remained stable from 2006 to 2019 with too few major UEA performed for in-depth analysis. Males were twice as likely to undergo LA than females (RR = 2.2 [95% CI 1.99–2.51]) with no change in rate over the study period. Persons aged 50–74 years and 75+ years were respectively 5.9 (RR = 5.92 [95% Cl 5.39–6.51]) and 10.6 (RR = 10.58 [95% Cl 9.26–12.08]) times more likely to undergo LA than those aged 0–49 years. LA rate increased with increasing age over the study period. Conclusion The rise in the rate of minor LEA with simultaneous decline in the rate of major LEA concomitant with the rise in age of patients experiencing LA may reflect a paradigm shift in the management of diseases that lead to LEA. Further, this shift may alter demand for orthotic versus prosthetic intervention. A more granular look into the data is warranted to determine if performing minor LA diminishes the need for major LA.

scholarly journals Geographical factors in access: investigating the impact of distance on the use of primary care extended hours, an administrative data study.

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Jen Murphy ◽  
William Whittaker ◽  
Mark Elliot ◽  
Rathi Ravindrarajah
Keyword(s):  
Primary Care ◽  
Negative Binomial ◽  
Unmet Need ◽  
Negative Binomial Regression ◽  
City Region ◽  
Hub Location ◽  
Barriers To Access ◽  
Access To Primary Care ◽  
The Right ◽  
The Impact

IntroductionNHS national targets mandate extended opening hours of doctors’ surgeries as a mechanism for increasing access to primary care, based on the assumption that unmet need is caused by a lack of appointments at the right time. Research has shown that other factors impact access and it may not simply be availability that limits an individual’s ability to access healthcare. Aims and Objectives To determine whether distance, familiarity and deprivation impact on the uptake of extended hours GP services that use a hub practice model. MethodsWe linked an appointments dataset to publicly available population datasets. With that linked dataset, we used negative binomial regression to model count data relating to uses of the extended hours service in one care commissioning group in the Greater Manchester city region. The dataset included 32,693 appointments across 4 hubs serving 37 practices. ResultsFamiliarity and distance are important in predicting the number of uses of the extended hours service at a GP practice level. For a theoretical pair of practices collocated at the hub location, the model predicts a use rate of 101.2 for the non hub compared with 283.7 for the hub, a 180% uplift. For a pair of non-hub practices, one located the mean distance from the hub, the other located one mile further away, the model predicts 64.8 uses for the nearer practice, and 46.5 uses for the far practice, a 28% penalty. ConclusionThe results indicate geographical inequity in the extended hours service. There may be many patients with unmet need for whom the extension of hours via a hub model does not address barriers to access. Providers should consider whether or not this type of model actually works to facilitate access. This is particularly of importance in the context of closing health inequality gaps.

scholarly journals Assessing the Impact of Nightlight Gradients on Street Robbery and Burglary in Cincinnati of Ohio State, USA

2019 ◽  
Vol 11 (17) ◽  
pp. 1958 ◽  
Author(s):  
Hanlin Zhou ◽  
Lin Liu ◽  
Minxuan Lan ◽  
Bo Yang ◽  
Zengli Wang
Keyword(s):  
Negative Binomial ◽  
Infrared Imaging ◽  
Negative Impact ◽  
Positive Impact ◽  
Negative Binomial Regression ◽  
Information Criterion ◽  
Binomial Regression ◽  
Street Robbery ◽  
The Impact

Previous research has recognized the importance of edges to crime. Various scholars have explored how one specific type of edges such as physical edges or social edges affect crime, but rarely investigated the importance of the composite edge effect. To address this gap, this study introduces nightlight data from the Visible Infrared Imaging Radiometer Suite sensor on the Suomi National Polar-orbiting Partnership Satellite (NPP-VIIRS) to measure composite edges. This study defines edges as nightlight gradients—the maximum change of nightlight from a pixel to its neighbors. Using nightlight gradients and other control variables at the tract level, this study applies negative binomial regression models to investigate the effects of edges on the street robbery rate and the burglary rate in Cincinnati. The Akaike Information Criterion (AIC) of models show that nightlight gradients improve the fitness of models of street robbery and burglary. Also, nightlight gradients make a positive impact on the street robbery rate whilst a negative impact on the burglary rate, both of which are statistically significant under the alpha level of 0.05. The different impacts on these two types of crimes may be explained by the nature of crimes and the in-situ characteristics, including nightlight.

Innovation-Supporting Effect of Government Versus Private Venture Capital: Evidence from Chinese Listed Companies

2020 ◽  
Vol 19 (3) ◽  
pp. 245-281
Author(s):  
Xiaohui Tao ◽  
Yang Li
Keyword(s):  
Venture Capital ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Threshold Effect ◽  
Listed Companies ◽  
Threshold Test ◽  
Chinese Listed Companies ◽  
Enterprise Innovation ◽  
Private Venture ◽  
The Impact

Abstract Venture capital (VC) can promote the innovation of invested enterprises through financial support, social networking, and intellectual capital. Based on data of Chinese listed companies from 2003 to 2016, this study, firstly, compares the impact of government and private VC on enterprise innovation using Possion regression, and applies the ITCV method and Negative Binomial Regression for Robustness Examination, then, explores the relationship between their shareholding percentage and enterprise innovation with threshold test. The results show that: the performance of private VC is significantly positive and in line. With the increasing shareholding percentage of private VC, the innovation of invested enterprises increases. The overall performance of government VC, however, is not significant, and the shareholding percentage of government VC also has no significant impact on the innovation of invested companies. Additional testing revealed that a “threshold effect” however exists in the impact of the shareholding percentage of government VC on innovation: within a certain range, the higher the shareholding percentage, the more significant the impact on innovations becomes, but beyond that range, the percentage is inversely related to innovation.

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