scholarly journals Cohort research analysis of disaster experience, preparedness, and competency-based training among nurses

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244488 ◽  
Author(s):  
Krzysztof Goniewicz ◽  
Mariusz Goniewicz ◽  
Frederick M. Burkle ◽  
Amir Khorram-Manesh
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Work Experience ◽  
Disaster Response ◽  
Core Competencies ◽  
Statistical Significance ◽  
Significance Level ◽  
Disaster Experience ◽  
Training Programmes

Introduction It is expected that in unforeseen situations, nurses will provide appropriate medical interventions, using their expertise and skills to reduce the risks associated with the consequences of disasters. Consequently, it is crucial that they are properly prepared to respond to such difficult circumstances. This study aimed to identify the factors influencing the basic competences of nurses in disasters. Materials and methods The survey was directed to 468 nurses from all medical centres in Lublin. IBM SPSS Statistics version 23 was used for statistical analyses, frequency analysis, basic descriptive statistics and logistic regression analysis. The classical statistical significance level was adopted as α = 0.05. Results Based on the logistic regression analysis, it was found that work experience, workplace preparedness, as well as training and experience in disaster response are important predictors of preparedness. Conclusions These findings indicate that the nurses' core competencies for these incidents can be improved through education and training programmes which increase their preparedness for disasters. Nurses are among the most important groups of healthcare professionals facing a disaster and should be involved in all phases of disaster management, such as risk assessment and pre-disaster planning, response during crisis situations and risks’ mitigation throughout the reconstruction period.

scholarly journals PELUANG ALUMNI PENDIDIKAN MATEMATIKA FKIP UMB DALAM MENDAPATKAN PEKERJAAN DENGAN MENGGUNAKAN ANALISIS REGRESI LOGISTIK

2017 ◽  
Vol 10 (2) ◽  
pp. 85
Author(s):  
Mahyudi Mahyudi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Mathematics Education ◽  
Survey Data ◽  
Logistic Regression Analysis ◽  
Work Experience ◽  
National Origin ◽  
College Graduation ◽  
The Road ◽  
Ordinal Logistic Regression Analysis

Graduation or college graduation become the most exciting moment for a student. In addition to successfully get a degree, they are also eager to enter the workforce. But sometimes the spirit was lost in the middle of the road. Many fresh graduates complain of difficult to get a job at this time. Every year the number of graduates to grow while jobs are not directly proportional to the increase in the number of graduates. The study analyzed what are the chances of graduates Mathematics Education FKIP Muhammadiyah University of Bengkulu in getting a job. Samples taken as many as 78 graduates between September 2015 to April 2016. The factors considered were gender, age, GPA, national origin, jobs for college and the work areas as desired. Analysis of survey data using ordinal logistic regression analysis. The results showed that the dominant factors that affect the length of the graduates in getting a job is GPA, work experience in college and the desired field of work.

scholarly journals Relevansi Informasi Laporan Keuangan Accrual Basis: Kemampuan Rasio Keuangan Dalam Memprediksi Status Financial Distress Pemerintah Daerah Kabupaten Dan Kota Se- Indonesia Periode 2015-2017

2019 ◽  
Vol 1 (2) ◽  
pp. 795-813
Author(s):  
Waninda Waninda ◽  
Fefri Indra Arza
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Financial Distress ◽  
Binary Logistic Regression ◽  
City Government ◽  
Performance Ratio ◽  
Binary Logistic Regression Analysis ◽  
Regional Government ◽  
Significance Level

This study aims to predict the financial distress status of district and city governments in Indonesia. Research examines the relevance of financial statement information consisting of profitability ratio, liquidity ratio, performance ratio and capital stress ratio in predicting district and city government financial distress in Indonesia in 2015-2017. This study uses agency theory. The sampling method in this study used purposive sampling. This study consisted of 134 samples of districts / cities in Indonesia, the financial data used in the study were audited regional government financial reports, namely reports on audit results for 2015-2017. The type of data used is secondary data. The analysis used is binary logistic regression analysis. Based on the results of binary logistic regression analysis with a significance level of 5%, that of the four types of ratios measured using fourteen measurements obtained results (1) Profitability ratio as measured by profit margin ratio affects financial distress with an β coefficient of 51,548 and a significance value of 0,000 < 0.05, (2) The performance ratio measured by operating revenue to total revenue has an effect on financial distress with an β coefficient of -41.180 and a significance value of 0.015> 0.05, and a depreciation ratio influences financial distress with an β coefficient of 40.004 and a value significance of 0.004 <0.05

scholarly journals Abdominal obesity as a risk factor for stroke in Abuja, Nigeria

2021 ◽  
Vol 9 (9) ◽  
pp. 2573
Author(s):  
Gerald A. Onwuegbuzie ◽  
Peter Alabi ◽  
Fatima Abdulai
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Abdominal Obesity ◽  
Logistic Regression Analysis ◽  
Statistical Significance ◽  
Lifestyle Changes ◽  
Health Concern ◽  
Increased Risk

Background: Obesity in Africa has remained a public health concern, which is been fueled by urbanization and its attendant lifestyle changes which includes less energy demanding jobs, sedentary lifestyle and adopting detrimental western eating habits. There are well established risk factors for stroke, however the association of obesity with that of stroke is less clear.Methods: This study was designed to determine whether abdominal obesity is independently associated with an increased risk of ischaemic stroke. It is a case control study of 113 patients in which structured questionnaire was administered to consecutive patients admitted into the medical wards. The controls were matched for age and sex from a database with participants of the population-based cohort study. Statistical analysis of data was performed using SAS software (SAS Institute) 9.4.Results: In the study 85% of the patients had hypertension, 50.5% had hypercholesterolemia and 33.6% had diabetes. The BMI was normal for most of the cases (23.3% vs. 76.7% p<0.0001) while the WHR was increased for most of the cases (70.9% vs. 29.1% p<0.0001). The statistical significance shows that WHR was more sensitive in assessing obesity than BMI. The logistic regression analysis, in model 1 unadjusted and model 2 adjusted for sex and age, BMI showed a positive association with risk of stroke (OR 1.10; 95% CI, 1.04-1.17; p=0.002) this association lost its significance in model 3 after adjusting for diabetes, hypertension and hypercholesterolemia (OR 1.04; 95% CI, 0.96-1.13; p=0.3751). The results of logistic regression analysis for WHR for model 1, model 2 and model 3 did not show any significance before and after adjustment.Conclusions: Abdominal obesity may increase the risk of ischemic stroke through conventional vascular risk factors, but not as an independent risk factor.

scholarly journals PENGARUH JUMLAH SEGMEN OPERASI DAN UKURAN PERUSAHAAN TERHADAP KETEPATAN WAKTU PELAPORAN LAPORAN KEUANGAN DENGAN REPUTASI KAP SEBAGAI VARIABEL MODERASI

2021 ◽  
Vol 17 (1) ◽  
pp. 11
Author(s):  
Astuti Yuli Setyani
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Financial Statements ◽  
Company Size ◽  
Financial Reports ◽  
Public Companies ◽  
Significance Level ◽  
Financial Report ◽  
Annual Financial Report

ABSTRAK  Informasi yang terkandung dalam laporan keuangan harus relevan untuk memenuhi kebutuhan pengguna dalam proses pengambilan keputusan. Tuntutan akan kepatuhan terhadap ketepatan waktu pelaporan dalam menyampaikan laporan keuangan perusahaan publik di Indonesia telah diatur dalam Keputusan Ketua Badan Pengawas Pasar Modal Nomor KEP-346/BL/2011 tentang Penyampaian Laporan Keuangan Berkala Emiten atau Perusahaan Publik. Dalam lampirannya, yaitu Peraturan Bapepam Nomor X.K.2, menyebutkan bahwa laporan keuangan tahunan harus disertai dengan laporan akuntan dengan pendapat yang lazim dan disampaikan kepada Bapepam selambat-lambatnya pada akhir bulan ketiga (90 hari) setelah tanggal laporan keuangan tahunan. Penelitian ini bertujuan untuk menguji faktor-faktor yang mempengaruhi ketepatan waktu pelaporan laporan keuangan. Faktor – faktor yang diuji dalam penelitian ini adalah jumlah segmen operasi, ukuran perusahaan dan reputasi KAP sebagai variabel moderasi. Data yang digunakan yaitu data sekunder perusahaan LQ45 yang terdaftar di BEI tahun 2015 - 2019. Analisis data yang digunakan yaitu menggunakan Logistic Regression Analysis pada tingkat signifikansi 5%. Diperoleh hasil bahwa jumlah segmen operasi dan ukuran perusahaan tidak mempengaruhi ketepatan waktu pelaporan laporan keuangan perusahaan. Sementara itu, reputasi KAP tidak memoderasi pengaruh jumlah segemen operasi dan ukuran perusahaan terhadap ketepatan waktu pelaporan laporan keuangan perusahaan.Kata kunci: segmen operasi, ukuran perusahaan, ketepatan waktu, reputasi KAP  ABSTRACT The information contained in the financial statements must be relevant to meet the needs of users in the decision making process. The demand for compliance with the timeliness of reporting in submitting financial reports of public companies in Indonesia has been regulated in the Decree of the Chairman of the Capital Market Supervisory Agency Number KEP-346 / BL/2011 concerning Submission of Periodic Financial Reports of Issuers or Public Companies. In its attachment, Bapepam Regulation Number X.K.2, states that the annual financial report must be accompanied by an accountant's report with the usual opinion and submitted to Bapepam no later than the end of the third month (90 days) after the date of the annual financial report. This study aims to examine the factors that affect the timeliness of reporting financial statements. The factors tested in this study were the number of operating segments, company size and KAP reputation as moderating variables. The data used are secondary data from LQ45 companies listed on the IDX in 2015 - 2019. Analysis of the data used is Logistic Regression Analysis at a significance level of 5%. The results show that the number of operating segments and company size do not affect the timeliness of reporting the company's financial statements. Meanwhile, the reputation of KAP does not moderate the effect of the number of operating segments and company size on the timeliness of reporting the company's financial statements. Keywords: operating segments, company size, timeliness, reputation of KAP

Correlations Between Cognitive Aspects and Quantitative EEG in Adults With Epilepsy

2018 ◽  
Vol 50 (5) ◽  
pp. 348-353 ◽  
Author(s):  
Gloria Maria Tedrus ◽  
Leandro M. Negreiros ◽  
Raquel S. Ballarim ◽  
Tamires A. Marques ◽  
Lineu Correa Fonseca
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Logistic Regression Analysis ◽  
Cognitive Functions ◽  
Quantitative Eeg ◽  
Cutoff Point ◽  
Delayed Recall ◽  
Significance Level ◽  
Patients With Epilepsy

Introduction. Cognitive impairment frequently occurs in adult patients with epilepsy (PWE), but its pathophysiological basis is not well known. This study assessed cognition and its correlations with quantitative EEG coherence (QEEG) of patients with epilepsy. Method. Eighty PWE seen consecutively in the clinic and 40 normal subjects (NC) were assessed by neurological evaluation, Mini Mental State Examination, immediate and delayed recall of 10 simple figures, phonemic verbal fluency (FAS), category fluency test (VF animals), clock drawing, and QEEG. The mean global inter- and intrahemispheric coherences for the delta, theta, alpha, and beta bands were calculated. Cognitive functions and QEEG coherence of the PWE and the NC were compared, and logistic regression analysis determined the factors associated with impaired cognitive functions in PWE. The significance level was set at P < .05. Results. Regression analysis showed that FAS impairment (14.5 ± 8.6 vs 24.3 ± 15.7, respectively) and delayed recall of figures in PWE (7.3 ± 2.07 vs 8.6 ± 1.48) differed significantly between the PWE and the NC (Nagelkerke R2 = 0.266). Absolute power was greater in all the frequency bands in PWE. Interhemispheric and intrahemispheric beta coherences in the theta frequency was higher in the PWE than in the NC. Logistic regression analysis showed a significant association between interhemispheric delta coherence and VF animal impairment (cutoff point of 12), and between an interhemipheric beta coherence with level of education and delayed recall of figures impairment (cutoff point of 7) (Nagelkerke R2 = 0.297). Other variables were not associated. Conclusions. There was cognitive impairment of PWE and it was significantly associated with QEEG, which suggests that QEEG measures may contribute to the understanding of physiopathological events and as a marker for cognitive alterations in epilepsy.

A Proposed Methodology for the Assessment of Glaucoma Awareness in Greece: Introduction of the EIT-8G Scale

2011 ◽  
Vol 22 (1) ◽  
pp. 95-103 ◽  
Author(s):  
Georgios Labiris ◽  
Andreas Katsanos ◽  
Michael Fanariotis ◽  
Anna Koutsogianni ◽  
Athanassios Giarmoukakis ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Family History ◽  
Logistic Regression Analysis ◽  
Rasch Analysis ◽  
Statistical Significance ◽  
Multivariate Logistic Regression Analysis ◽  
Control Group ◽  
Valid Instrument ◽  
The Impact

Purpose To develop a reliable and practical questionnaire for glaucoma awareness and evaluate the impact of potential determinants. Methods Patients with primary open-angle, pigmentary, and exfoliation glaucoma, as well as healthy controls, were recruited. The instrument included questions about demographic characteristics, as well as 8 questions assessing the participant's familiarity with glaucoma. Rasch analysis was used for the validation of the questionnaire. The effect of demographics as potential determinants of awareness was examined with a multivariate logistic regression analysis. Bonferroni-corrected statistical significance was tested with the Mann-Whitney U test or one-way analysis of variance. Association between demographics and questionnaire scores was examined with Spearman correlation. Results As indicated by power analysis, responses from 175 patients (mean age 65.5 years) and 314 controls (mean age 43.3 years) were analyzed. Rasch analysis indicated no multidimensionality and good item-person targeting. Mean ± SD awareness scores for the glaucoma and control groups were 4.43±2.10 and 4.20±2.11, respectively (p=0.207). Sex and residence were not predictors of disease awareness, whereas educational level was only a determinant in the control group (p<0.001). Income was a predictor only for patients (r=0.357, p<0.001), whereas family history was predictive for both groups (p<0.001). Logistic regression analysis revealed that only family history was associated with increased awareness (χ2=4.61, p=0.03, odds ratio 1.98). Conclusions This study introduces a practical and valid instrument for the assessment of glaucoma awareness.

scholarly journals MUSLIM COMMUNITIES PREFERENCE THAT DO NOT USE SHARIA PAWNSHOP

2019 ◽  
Vol 5 (2) ◽  
pp. 181
Author(s):  
Siti Sabilah Khoiriyah ◽  
Metti Paramita ◽  
Raden Ali Pangestu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Research Method ◽  
Quantitative Approach ◽  
Significance Level ◽  
Analysis Techniques ◽  
Muslim Communities

This study aims to determine what factors influence the preferences of Muslim communities who do not use sharia pawnshops. The research method uses a quantitative approach with logistic regression analysis techniques. The technique of collecting data using questionnaires originating from 100 Muslim communities in West Bogor District. Based on the results of the analysis of the data obtained it can be seen that only locations that have an influence on the decisions of Muslim communities so that they do not use sharia pawnshops because the location has a significance level smaller than 0.05, which is equal to 0.02.

scholarly journals PELUANG TERJADINYA PENGANGGURAN DI PROVINSI BENGKULU : SEBERAPA BESAR?

2020 ◽  
Vol 1 (2) ◽  
pp. 70-83
Author(s):  
Lisa Marini ◽  
Novi Tri Putri
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Marital Status ◽  
Labor Force ◽  
Logistic Regression Analysis ◽  
Work Experience ◽  
Population Characteristics ◽  
Training Course ◽  
Labor Force Survey ◽  
The Family

The aim of this research is to analyze how are opportunity occured unemployment based on characteristics of populations in Bengkulu province. Characteristics of populations that used are education, training/course certificate, age, gender, work experience, marital status, status in the family, and area of residence. The analytical method used to achieve this goal is the logistic regression analysis. Type of key data use row data derived from the National Labor Force Survey (Sakernas) February 2018. The result of the calculation using the program SPSS 20.0 was found that not all the variables of population characteristics significantly affect the chances of unemployment with a confidence level of 95 percent. Education and age are significantly affect of unemployment in Bengkulu Province, while training/course certificate, gender, work experience, marital status, status in the family and area residence are not significantly affect of unemployment in Bengkulu Province. Keywords: Logistic Regression Analysis, National Labor Force Survey  (Sakernas), Unemployment.

scholarly journals Pengaruh Likuiditas, Aktivitas, Profitabilitas dan Leverage Terhadap Financial Distress (Studi Kasus pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2014-2018)

Jurnal Ecogen ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 134
Author(s):  
Rahmadona Amelia Fitri ◽  
Syamwil Syamwil
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Financial Distress ◽  
Stock Exchange ◽  
Simple Random Sampling ◽  
Manufacturing Companies ◽  
Significance Level ◽  
Analysis Technique ◽  
Sample Technique

The research aims to determine the effect of liquidity, activity, profitability and leverage on the financial distress of manufacturing companies listed on the Indonesia Stock Exchange in the 2014-2018 period. The population is 161 companies with 805 data. The sample technique uses purposive sampling and simple random sampling to get a sample of 64 companies with 320 data, the number of samples used is 256 valid data and in accordance with the required criteria. Data analysis technique used logistic regression analysis. Based on the results of logistic regression analysis with a significance level of 5% the results of the study concluded: 1) Liquidity, activity, profitability and leverage affect the financial distress with a significance value of 0,000 < 0.05 and independent variables can hear iden the occurrence of the dependent variable of 83,8% . 2) Liquidity does not affect the financial distress with a significance value of 0.199 > 0.05. 3) Activities affect the financial distress with a significance value of 0.041 < 0.05. 4) Profitability affects the financial distress with a significance value of 0,000 < 0.05. 5) Leverage affects the financial distres with a significance value of 0,000 < 0.05.Keywords: liquidity, activity, profitability, leverage, financial distress.

Can Clinical Parameters Predict Bone Marrow Involvement In DLBCL?

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 5071-5071
Author(s):  
Paul Baillargeon ◽  
Puja Nistala ◽  
Donald Doll
Keyword(s):  
Bone Marrow ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Bone Marrow Biopsy ◽  
Logistic Regression Analysis ◽  
Statistical Significance ◽  
Clinical Stage ◽  
Bone Marrow Involvement ◽  
Exact Test ◽  
Fischer Exact Test

Abstract Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma, accounting for about 1/3rd cases of NHL. At diagnosis, DLBCL involves the bone marrow in approximately 15-25% of cases. However, the bone marrow may reveal discordant morphology from the lymph node, usually an indolent lymphoma. Bone marrow biopsy is routinely used in the staging evaluation of patients with DLBCL. The aim of this study was to determine if clinical variables could predict bone marrow involvement by DLBCL. Methods Retrospective chart review of all patients with a diagnosis of DLBCL at University of Missouri-Columbia/Ellis Fischel Cancer Center from 1993-2013. The following parameters were reviewed: bone marrow biopsy reports, anemia (Hb<10g/dl), leukopenia (wbc<4000), thrombocytopenia (<150,000), lactate dehydrogenase level and clinical stage. Statistical analysis was performed by Fischer Exact test and logistic regression analysis. Results 80 charts were available for review and 7 patients had bone marrow involvement by DLBCL. Univariate analysis for cytopenias (p=0.459), elevated LDH (p=0.442), anemia (p=0.436), leukopenia (p=1.0) and thrombocytopenia (p=0.434) and bone marrow involvement by DLBCL showed no statistical significance (Fischer Exact test). Multivariate analysis comparing anemia, leukopenia, thrombocytopenia, elevated LDH and clinical stage with respect to bone marrow involvement revealed p=0.789, p=0.134, p=0.062, p=0.827 and p=0.521 respectively, and disclosed no statistical significance (logistic regression analysis). Univariate (Fisher exact tests and Cochran-Mantel-Haenszel statistics) and multivariate (logistic regression) analyses were used to test for the relationship of these parameters with bone marrow involvement. Disclosures: No relevant conflicts of interest to declare.

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