The Impact of Trauma Center Volume on Observed/Expected Mortality: Does Size Matter?

2018 ◽  
Vol 84 (7) ◽  
pp. 1236-1239
Author(s):  
Adel Elkbuli ◽  
Alyssa Eily ◽  
Shaikh Hai ◽  
Mark McKenney ◽  
Orlando Morejon
Keyword(s):  
Trauma Center ◽  
Injury Severity ◽  
Statistical Significance ◽  
National Sample ◽  
Coefficient Of Determination ◽  
P Value ◽  
All Cause Mortality ◽  
Size Matter ◽  
The Impact ◽  
The Relationship

Relationship between trauma center patient volume (TCV) and mortality remains inconclusive. Our aim was to determine the relationship between TCVs and observed/expected (O/E) all-cause mortality. This is the first study to evaluate the relationship between trauma center (TC) volumes and O/E all-cause mortality with no exclusion. Review of prospectively collected data from 94 TCs using the National Sample Program from the National Trauma Data Bank 2013. TCs were stratified into five groups based on TCV: <701, 701 to 1200, 1201 to 1700, 1701 to 2200, and >2200 yearly patient encounters. Chi-square and coefficient of determination were used for data analysis with a statistical significance defined as P-value < 0.05. A total of 139,324 trauma patients with blunt and penetrating injuries were evaluated from the National Sample Program. Of which, 63.6 per cent were male, 70.6 per cent white, and the average age was 41 years. The data were stratified by TCV into five groups with average O/Es ranging from 0.69 to 0.86 (P > 0.05). The coefficient of determination between TCV and O/E was r = 0.14 and r2 = 0.02. When controlling for Injury Severity Score, the correlation between mechanism of injury (blunt vs penetrating) and O/E mortality was r = 20.025. The group with the lowest average volumes had statistically significantly worse outcomes than the group with next higher volumes and also worse than the group with the highest volumes (Group 5, P = 0.04). Higher TC volumes correlated with higher injury severity and lower O/E mortality.

DIGITAL COMPETITIVENESS OF UKRAINE: GENERAL TRENDS AND IMPACT MODELING

2018 ◽  
Author(s):  
Nadiya Yavorska ◽  
◽  
Tetyana Danko ◽  
Keyword(s):  
Inverse Relationship ◽  
New Technologies ◽  
Statistical Significance ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Multiple Regression Equation ◽  
Individual Factors ◽  
Decisive Influence ◽  
The Impact ◽  
The Relationship

The object of the study is the digital competitiveness of the country and its impact on GDP. The paper summarizes the methodology for determining the rating of global digital competitiveness and investigates the impact of digital competitiveness on GDP using econometric analysis methods. The methodological basis of the study was the fundamental principles of economic theory, statistics and econometrics. To develop a statistical model of the relationship between digital competitiveness and GDP, correlation analysis was performed using the pairwise regression equation, and to influence individual factors - a linear multiple regression equation. The parameters of the constructed models by the method of least squares are estimated and their statistical significance is checked. The results of the study show that there is a close inverse relationship between the rating on the Digital Competitiveness Index and GDP. This is due to the fact that the linear correlation coefficient is -0.819, and the value of the coefficient of determination (0.6712) shows the decisive influence of digital competitiveness on GDP. Verification of the statistical significance of the constructed model allowed to recognize it as statistically reliable, which allows to use it for forecasting. Instead, the resulting econometric model of the relationship between individual factors of digital competitiveness rating and GDP is characterized by a strong inverse relationship between the two factors "Knowledge" and "Technology" and a direct relationship between the factor "Readiness for the future". The factor of "Knowledge", which characterizes the process of digital transformation of Ukraine through understanding, studying and creating new technologies, has a decisive influence on the volume of GDP. The developed model of the relationship between individual factors of digital competitiveness rating and GDP, as adequate and statistically significant, can be used for further analysis and forecasting. It is proved that the process of digitalization is an urgent need for the existence of the economic system at present, namely the introduction of digital technologies can increase the competitiveness of the country on the world stage.

617 Who Benefits the Most from Burn Camps?

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S162-S163
Author(s):  
Jennifer B Radics-Johnson ◽  
Daniel W Chacon ◽  
Li Zhang
Keyword(s):  
Retrospective Review ◽  
Burn Injury ◽  
Statistical Significance ◽  
Categorical Variables ◽  
P Value ◽  
Continuous Variables ◽  
Self Evaluation ◽  
Significant Difference ◽  
Return Home ◽  
The Impact

Abstract Introduction Burn camps provide a unique environment and activities for children that have experienced a burn-injury. Positive outcomes from attending burn camp include increased self-esteem, decreased feelings of isolation and a greater sense of self-confidence. In a 3-year retrospective review of camper evaluations from one of the largest and longest running week-long burn camps in the nation for ages 5–17, we aimed to assess if a child’s gender, age, TBSA or ethnicity affected the impact that burn camp had on a child. Methods A 3-year retrospective review of a Burn Camp’s camper evaluation forms was conducted for campers that attended burn camp between 2017–2019. Camp rosters were reviewed to determine the camper gender, age, TBSA and ethnicity. Camper self-evaluation forms completed at the end of each camp session were reviewed to record camper responses to questions regarding their opinions on the impact camp had on them as well as how camp will impact their lives once they return home. Categorical variables were summarized as frequency and percentage, and continuous variables were described as median and range. To check the relationship between two categorical variables, Chi-square test was used. To compare the continuous variable among groups, Kruskal-Wallis ANOVA was used. Statistical significance was declared based on a p value&lt; 0.5. Results Within 2017–2019, there were 413 camper records. Participants’ demographic characteristics are summarized in Table 1. There were 208 males (50.3%) and 205 females (49.6%). The median age of campers were 11.86, 12.44 and 12.45 for 2017–2019, with the range from 5.16 years to 17.96 years. The median TBSA were 20, 20 and 18 for 2017–2019, with the range from 0.08 to 90. Collectively there were 47.7% Hispanic (n= 197); 24.2% Whites (n=100); 13.1% Black (n= 54); 4.6% Asian (n=19) and 7.7% Other (n=32). There were 395 camper self-evaluation forms submitted. Results of three questions there we were interested in are summarized collectively in Table 2. 57% of campers responded, “Yes, Definitely” to the question “After going to this event, will you feel more comfortable being around your classmates or friends?” 54% responded, “ Yes, Definitely” to the question “Do you feel more confidents in sharing your burn story with others when returning home?” and 51% responded “Yes, Definitely” to “Did you learn anything that will help you when you return home?” Conclusions In analyzing the camper responses, there was no statistically significant difference in responses comparing gender, age, TBSA or ethnicity.

scholarly journals Family Climate Patterns and Its Relationship with Self-Concept among Students at the University of Islamic Sciences in light of the Variables of Gender and Age

2017 ◽  
Vol 9 (1) ◽  
pp. 145
Author(s):  
Fatima Mohammad Rashed Al Talahin ◽  
Hana Khaled Al –Raqqad ◽  
Eman Saeed Al- Bourini ◽  
Bilal Adel Al-Kateeb
Keyword(s):  
Pearson Correlation ◽  
Statistical Significance ◽  
Self Concept ◽  
Family Climate ◽  
Gender And Age ◽  
Climate Patterns ◽  
The Difference ◽  
The University ◽  
The Impact ◽  
The Relationship

The aim of this study is to clarify the relationship between self-concept and patterns of family climate among students at the University of Islamic Sciences, and also aimed to investigate the effect of gender and age on this relationship.The sample of the study consisted of a group of students were selected randomly, totaling (139) students; (58) male and (81) female students.Two questionnaires were distributed on 139 students. The first questionnaire was on the impact of patterns of family climate on self-concept and the second one about self-concept. Then the researcher analyzed the results of each item in the questionnaire using appropriated statistical methods, calculated the correlation between self-concept and patterns of family climate using the Pearson correlation coefficient, and G-test to find the difference between correlation coefficients.The results showed a positive statistical significance relationship between family climate patterns on one hand and between self-concept in all its dimensions on the other hand.

scholarly journals Kepemimpinan Intrapreneurship, Budaya Sekolah dan Kinerja Inovasi Guru

2017 ◽  
Vol 5 (2) ◽  
pp. 176-193
Author(s):  
Agus Wibowo ◽  
Ari Saptono
Keyword(s):  
Elementary School ◽  
School Culture ◽  
Elementary School Teachers ◽  
Correlation Coefficient ◽  
Innovation Performance ◽  
Coefficient Of Determination ◽  
Survey Method ◽  
P Value ◽  
School Teachers ◽  
The Relationship

This article aims to determine the relationship intrapreneurial leadership, school culture and innovation performance of elementary school teachers in East Jakarta. This research uses survey method with correlation approach. The results showed that there was a significant correlation between intrapreneurial leadership and school culture on teacher innovation performance of elementary school in East Jakarta where the result of double correlation coefficient test (Ry.12) = 0,885 and F count (F Change) = 266,395, and p -value = 0,000 <0.05, and While the coefficient of determination (R square) = 0,784, which means that the intrapreneurial leadership (X1) and school culture (X2) together influence 78,4% to the performance of innovation (Y). Keywords: Intrapreneurial Leadership, School Culture, Teacher's Innovation Performance

scholarly journals The Relationship of Waste Management With The Incidence Of Diarrhea In Argasunya Village Cirebon City

2018 ◽  
Vol 5 (1) ◽  
pp. 16-22
Author(s):  
Jaenudin ◽  
Sandi Aprianto ◽  
Citra Setyo Dwi Andini
Keyword(s):  
Waste Management ◽  
Univariate Analysis ◽  
P Value ◽  
Chi Square ◽  
The Status ◽  
Diarrhea Incidence ◽  
Chi Square Test ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

Background: Garbage is something material or solid objects that is no used by humans. The impact or risk of improper handling of garbage can cause to environmental damages that can cause health problems and disesase, one of them is diarrhea disease. According to the health profile of West Java Province (2012) showed that the 1.906.886 diarrhea incidence. Cirebon City is ranked ninth with 88,702 diarrhea incidence. Purpose: The purpose of this research is to know the relationship of waste management with the incidence of diarrhea In Argasunya Village Cirebon City. Method: This research used descriptive correlation with kohort retrospekif approach. The population in this study that is all the people who suffer from diarrhea in the Argasunya Village with 72 respondents. The sample in this study using total sampling with 72 respondents who suffer from diarrhea. The research instrument used the observation sheet of waste management and the result of the status of the patient according the medical record data in Sitopeng Public Health Center. The analysis used univariate and bivariate used Chi Square test. Result: The result of univariate analysis showed that most of the waste management did not fulfill the requirement of 59 respondents (81,9%) and most of the acute diarrhea was 62 respondents (86,1%). There was no significant relationship of waste management with the incidence of diarrhea In Argasunya Village Cirebon City, p-value = 0,677.

scholarly journals High cytomegalovirus serology and subsequent COPD-related mortality: a longitudinal study

2020 ◽  
Vol 6 (2) ◽  
pp. 00062-2020
Author(s):  
Raffaella Nenna ◽  
Jing Zhai ◽  
Samuel E. Packard ◽  
Amber Spangenberg ◽  
Duane L. Sherrill ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Smoking Status ◽  
Strong Relationship ◽  
Airflow Limitation ◽  
P Value ◽  
Positive Serology ◽  
Cox Models ◽  
All Cause Mortality ◽  
The Relationship ◽  
Copd Mortality

BackgroundPositive serology for cytomegalovirus (CMV) has been associated with all-cause mortality risk but its role in COPD mortality is unknown. The objective of the present study was to assess the relationship between CMV serology and COPD mortality.MethodsWe analysed data from 806 participants in the Tucson Epidemiological Study of Airway Obstructive Disease who, at enrolment, were aged 28–70 years and had completed lung function tests. We tested CMV serology in sera from enrolment and defined “high CMV serology” as being in the highest tertile. Vital status, date and cause of death were assessed through death certificates and/or linkage with the National Death Index up to January 2017. The association of CMV serology with all-cause and cause-specific mortality risk was tested in Cox models adjusted for age, sex, level of education, body mass index, smoking status and pack-years.ResultsHigh CMV serology was marginally associated with all-cause mortality (p=0.071) but the effect was inversely dependent on age, with the association being much stronger among participants <55 years than among participants ≥55 years at enrolment (p-value for CMV-by-age interaction <0.001). Compared with low CMV serology, high CMV serology was associated with mortality from COPD among all subjects (adjusted hazard ratio (HR) 2.38, 95% CI 1.11–5.08; p=0.025) and particularly in subjects <55 years old at enrolment (HR 5.40, 95% CI 1.73–16.9; p=0.004). Consistent with these results, high CMV serology also predicted mortality risk among subjects who already had airflow limitation at enrolment (HR 2.10, 95% CI 1.20–3.68; p=0.009).ConclusionsWe report a strong relationship between CMV serology and the risk of dying from COPD, and thus identify a novel risk factor for COPD mortality.

The Impact of Obesity on the Perioperative, Clinicopathologic, and Oncologic Outcomes of Robot Assisted Total Mesorectal Excision for Rectal Cancer

2017 ◽  
Vol 89 (4) ◽  
pp. 23-28 ◽  
Author(s):  
Ajit Pai ◽  
Fahad Alsabhan ◽  
John J. Park ◽  
George Melich ◽  
Suela Sulo ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Length Of Stay ◽  
Operative Time ◽  
Statistical Significance ◽  
Oncologic Outcomes ◽  
P Value ◽  
Obese Patients ◽  
Lymph Node Yield ◽  
Conversion Rates ◽  
The Impact

Purpose: To analyze the feasibility and outcomes of robotic rectal cancer surgery in obese patients. Methods: From 2005 to 2012, 101 consecutive rectal cancers operated robotically were enrolled in a prospective database. Patients were stratified into obese (BMI ≥ 30 kg/m2) and non-obese (BMI < 30 kg/m2) groups. Operative, perioperative parameters, and pathologic outcomes were compared. Data were analyzed using SPSS 22.0, while statistical significance was defined as a p value ≤ .05. Results: There were 33 obese patients (mean BMI 33.8 kg/m2). Patients were comparable regarding gender, T stage, and type of operation. Operative time and blood loss were higher in the obese group; only operative time was statistically significant. The conversion rate, length of stay, and anastomotic leak rates were similar. Circumferential margin positivity and lymph node yield were comparable. Disease free and overall survivals at 3 years were 75.8% versus 80.9% and 84.8% versus 92.6%, respectively for obese and non-obese subgroups. Conclusions: Robotic surgery for curative treatment of rectal cancer in the obese is safe and feasible. BMI does not influence conversion rates, length of stay, postoperative complications, and quality of the specimen or survival when the robotic platform is used.

The IC50 Assay Is Predictive of Molecular Response, and Indicative of Optimal Dose in De-Novo CML Patients.

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 1109-1109
Author(s):  
Deborah L White ◽  
Verity A Saunders ◽  
Thea Kalebic ◽  
Timothy P Hughes
Keyword(s):  
De Novo ◽  
Statistical Significance ◽  
Continuous Variable ◽  
Rank Test ◽  
P Value ◽  
Molecular Response ◽  
Optimization Strategy ◽  
Log Reduction ◽  
Significant Difference ◽  
The Impact

Abstract We have previously demonstrated significant interpatient variability in the IC50imatinib, a measure of the intrinsic sensitivity of a patient to imatinib induced kinase inhibition. Furthermore, this measure is predictive of the achievement of major molecular response (MMR &gt; 3 log reduction in BCR-ABL) in de-novo CML patients treated with imatinib (n=60)1. In an expanded patient pool (n=116) we now perform an evaluation of the IC50 as a predictor of response, and address the IC50imatinib as a guide to dose selection. Samples were obtained with informed consent from de novo CML patients enrolled to either the TIDEL (600mg imatinib) or TOPS (randomised 400mg vs 800mg imatinib) trials. Blood was collected pre therapy, and the IC50 was performed as previously1. Outcome data was assessed using Kaplan Meier Analysis and the log rank test was used to assess statistical significance. In our previous analysis the IC50imatinib was divided about the median value for the cohort (0.6μM) into low and high IC50, with a significantly greater proportion of patients with low IC50imatinib achieving MMR by 12 months. In this expanded patient pool, we confirm this finding (&lt;median of 0.7μM for this patient group) (low IC50 65% of patients achieve MMR by 12 mo vs high IC50 39% of patients p=0.014) Dividing the IC50’s into quartiles we now demonstrate that the IC50imatinib is a continuous variable with a greater proportion of patients in the lower quartile achieving MMR than those in the higher (Table 1 Total). Addressing the issue of dose we demonstrate that no patients with IC50&gt;0.95uM achieve MMR on 400mg, and that this is statistically significantly when compared to all other groups. At 600mg while there is no overall significant difference there is a statistically relevant difference between groups 1, 2 and 4 as indicated. In contrast, at 800 mg the effect of IC50imatinib is overcome. MMR by 12 months Total 400mg 600mg 800mg p value Group1 &lt;0.5μM 67% (27) 83% (12)* 50% (8)* 86% (7) 0.470 Group 2 &gt;0.5&lt;0.7μM 63% (30) 67% (6)* 53% (17)* 71% (7) 0.337 Group 3 &gt;0.7&lt;0.95μM 45% (31) 40%(5)* 30% (10) 56% (16) 0.139 Group 4&gt;0.95μM 32% (28) 0% (7)* 22% (9)* 58% (12) 0.016 P value 0.042 0.018 0.108 0.778 Table 1: Dividing the patients into quartile based on the IC50 imatinib and assessing the Impact of dose on the achievement of MMR by 12 month. *p value &lt;0.05 between groups (n). The failure to achieve a Complete Cytogenetic Response by 12 months is considered a suboptimal response. Assessing the molecular equivalent (≥2 log reduction in BCR-ABL) we demonstrate that a significantly greater proportion of patients with IC50imatinib&gt;0.7μM fail to achieve a 2 log reduction when treated with 400mg (IC50 &lt;0.7μM 11%: &gt;0.7μM 33% p=0.034), and 600mg (IC50 &lt;0.7μM 12%: &gt;0.7μM 22% p=0.036). However, there is no significant difference in the 800mg patient cohort (IC50 &lt;0.7μM 7%: &gt;0.7μM 14% p=0.79). This analysis confirms that the IC50imatinib, is predictive of imatinib response. Patients with an IC50imatinib &lt;0.7μM are likely to respond well to doses of 400mg imatinib, as suggested by evaluation of statistically relevant outcome benefit. In contrast patients with higher IC50imatinib (&gt;0.7μM) may benefit from higher dosing regimens (p=0.012). Thus, the accurate assessment of IC50imatinib could support dose optimization strategy for patients with a suboptimal response.

scholarly journals Analisis Pengaruh Customer Experience dan Promosi Penjualan Terhadap Kepuasan Pelanggan dan Minat Beli Ulang Pada Starbucks Coffee di Pontianak : Perspektif B2C

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
ERIK JUNIWATI HERIYADI
Keyword(s):  
Data Analysis ◽  
Customer Satisfaction ◽  
Customer Experience ◽  
Sales Promotion ◽  
Test Reliability ◽  
Coefficient Of Determination ◽  
P Value ◽  
Test Model ◽  
Online Questionnaire ◽  
The Impact

This research aims to know the influence of customer experience, sales promotion, customer satisfaction and re-purchase interest on Starbucks Coffee.The research was conducted in Pontianak City, using a sample size of 100 people.The sampling technique used is Non Probability Sampling by sampling method is Purposive Sampling.Data obtained by conducting online questionnaire and data analysis method with SEM-PLS using software WarpPLS 6.0 data analysis techniques used in the form of validity test, reliability test, model goodness test, T test and Sobel test.The results of this research show that the customer experience and sales promotion have positive and significant effect on customer satisfaction with a coefficient of determination value of 61%.Customer experience, sales promotions and customer satisfaction have a positive and significant effect on the interest of repurchase with a coefficient of determination of 54.2%.Customer satisfaction is capable of positively and significantly the impact of customer experience on repurchase interest with a P-value value of 0.002. Customer satisfaction does not efficiently and positively and significantly influence the sales promotion to a repurchase interest with a P-value of 0.127.Starbucks Coffee is expected to provide and improve the better service to its customers so as to create customer experience that is expected by the customer and provide a sales promotion that is in accordance with the expectations of consumers so as to have an impact on the interest in buying consumers at Starbucks Coffee in Pontianak.

scholarly journals PENGARUH KEPEMIMPINAN KEPALA UPT PUSKESMAS TERHADAP KINERJA PEGAWAI PUSKESMAS CIAWI KECAMATAN CIAWI KABUPATEN BOGOR

2017 ◽  
Vol 3 (1) ◽  
pp. 31
Author(s):  
Irvan Maulana ◽  
Rita Rahmawati ◽  
Euis Salbiah
Keyword(s):  
Local Government ◽  
Significance Test ◽  
Coefficient Of Determination ◽  
Leadership Performance ◽  
Positive Correlation ◽  
Government Clinic ◽  
Key Word ◽  
The Impact ◽  
The Relationship ◽  
Research Show

The main objective of this research is to know the impact of leadership and employees performance at Ciawi Local Government Clinic of Bogor Municipality.Associative method is research method used to know the relationship or impact between two or more variables. The population of this research is 37 employees. To determine the number of minimum sample, Slovin formula is used. Based on the formula, 27 employees taken as sample. To analyze data, Weight Mean Score and Rank Spearman Correlation are used for hypothetical testing purpose. In this context, H0:ρ = 0, means that there is no positive correlation between leadership and employees performance, and Ha: ρ ≠ 0, means that there is positive correlation between leadership and employees performance.The result of this research show that leadership function by Head of Local Government Clinic is in “pretty good” criteria with mean score of 2,916 (out of 5) and “pretty good” criteria in all of indicator in this variable. Meanwhile, the variable of employees performance is also categorized as “good” criteria with mean score of 3,000 (out of 5). Futhermore, based on Rank Spearman analysis with significance test for n=27 and standar error of 10%, show that Rho 0,368 with “low” criteria. And the significance test t=2,042 > 1,70814, thus, conclusion can be taken that Ho is rejected and Ha is accepted. This mean that there is positive correlation between leadership and employees performance with coefficient of determination 13,5%. In the other words, the research conclusion is the influence of leadership efforts by head of Local Government Clinic is 13,5% and the remaining 86,5% is determined by other factors (epsilon). Key word : Leadership, Performance, employees

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