scholarly journals Binary Logistic Model to Identify the Factors Associated with Households with Bank Accounts in Nepal

2020 ◽  
Vol 2 (2) ◽  
pp. 323-336
Author(s):  
Santosh Kumar Shah
Keyword(s):  
Logistic Regression ◽  
Financial Institutions ◽  
Goodness Of Fit ◽  
Receiver Operating Curve ◽  
P Value ◽  
Ratio Test ◽  
Multiple Logistic Regression ◽  
Goodness Of Fit Test ◽  
Factors Associated ◽  
Bank Accounts

Introduction: Banks play an important role in ensuringthe economicand social stability, and the sustainablegrowth of the economy. The savings and other accounts in financial institutions, including banks, finances, microfinances and cooperatives, enable people to execute important financial functions. Thus, households that have accounts in any of financial institutions can have access to various banking services. Objective: The objective of the study is to identify the factors associated with households having bank accounts in Nepal. Methods: The analysis is based on household data extracted from the dataset of Nepal Demographic and Health Survey, 2016. The dependent variable is dichotomous, as the households with bank accounts and without bank accounts in any formal financial channels. In order to identify the factors associated with households receiving financial services in Nepal, multiple logistic regression models were developed by examining the model adequacy test. Results: The study finds that a total of 66.9% of the households had bank accounts. Several variables were found to be 1% of significance level. The predictive power of the model is found to be 31.2% and multicollinearity among the independent variables was absent. The Hosmer-Lemoshow goodness of fit test revealed that the data were poorly (p-value=0.056) fitted by the model. However, Osius-Rojek goodness of fit test (z=0.11; p-value=0.911), Stukel test (Z=0.683, p-value=0.494), likelihood ratio test (χ2=2770; p-value<0.0001) and area under receiver operating curve (79.8%) revealed that fitted model was good. Conclusion: Multiple logistic regression model revealed that in mountainous and hilly regions, women-headed households have less chances of not having bank accounts compared to the Terai region and men-headed households. The chances of having a bank account in province-2 is even worse than in Karnali and other provinces. The odds of not having bank accounts gradually decreased with the increase in size of agricultural land, wealth index, increase in family size and the number of family members who have completed secondary education.

scholarly journals Factors Associated with Cataract Surgical Outcomes in a Tertiary Health Facility in Oyo State, Nigeria: A Retrospective Study

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Abiola T. Owolabi ◽  
Susannah T. Adepoju ◽  
Olawale Oladejo ◽  
Kunle I. Oreagba
Keyword(s):  
Visual Acuity ◽  
Cataract Surgery ◽  
Goodness Of Fit ◽  
Intraoperative Complications ◽  
Visual Outcome ◽  
Sub Saharan Africa ◽  
P Value ◽  
Goodness Of Fit Test ◽  
Intraoperative Complication ◽  
Factors Associated

Background: Cataract surgery is the most common operation performed in ophthalmology. It is the commonest cause of reversible blindness globally, in Sub-Saharan Africa and Nigeria. The study examined some factors affecting the outcome of cataracts surgery measured by Visual acuity after 6 weeks. Methods: Data was collected from the records of ophthalmic patients who had cataract surgery at LAUTECH Teaching Hospital Ogbomoso, from the period of January 2013 to December 2018. Two hundred and twenty-seven patients’ records were retrieved for the study. Logistic Regression was used to investigate factors associated with the outcome of Cataracts Surgery. The goodness of fit test was used to determine the fit of the model to the data. Results: Two variables; intraoperative complication, and unaided visual acuity on the fir st postoperative day were statistically significant (p-value < 0.05). The outcome of surgery using unaided visual acuity after six weeks of surgery showed that 47.1% of the patients had a good visual outcome (6/18) or better and 52.9% had a poor outcome (worse than 6/60). Factors such as complications within six weeks, presence of ocular and systemic comorbidity, and presence of intraoperative complications were found to increase the likelihood of poor outcomes in cataract surgery. Conclusion: This study has shown that Intraoperative complications and unaided visual acuity on the first postoperative day are important to the outcome of cataract surgery. Therefore, the two factors should be given attention during cataract surgery

scholarly journals Factors Associated with Protection of Last Live Birth against Neonatal Tetanus among Mother Age 15-49 in Ethiopia: A Multilevel Analysis Using EDHS 2016

2020 ◽  
Author(s):  
Gebrezgiher Kalayu ◽  
Girmatsion Fisseha ◽  
Reda Shamie ◽  
Awtachew Berhe ◽  
Kebede Embaye
Keyword(s):  
Live Birth ◽  
Goodness Of Fit ◽  
Community Level ◽  
Contextual Effect ◽  
Neonatal Tetanus ◽  
P Value ◽  
Goodness Of Fit Test ◽  
Mortality And Morbidity ◽  
Factors Associated ◽  
The Individual

Abstract BackgroundEthiopia has the highest neonatal tetanus mortality and morbidity rates in the world due to low TT immunization coverage coupled with the high amount of deliveries taking place at home. This study aimed to identify individual and community-level factors associated with protections of last live birth against neonatal tetanus among mothers age 15–49 in Ethiopia.MethodsThe P-value of less than 0.05 in the final model was considered as statistically significant. The interclass correlation coefficient and proportional change in variance were used to quantify the magnitude of the general contextual effect. The relative goodness-of-fit test was conducted using Akaike's information criterion.ResultHome delivery (AOR = 0.83; 95% CI: 0.72, 0.96), at least one ANC visits (AOR = 12.35; 95% CI: 10.42, 14.62) and wealth index (poorer (AOR = 1.27, 95% CI: 1.04, 1.54) and richer (AOR = 1.53, 95% CI: 1.21, 1.93). were the individual factors that had an association with the utilization of protection of last live birth against neonatal tetanus.ConclusionsUtilization of protection of last live birth against neonatal tetanus is affected both by the individual and community level factors with high state variation.

scholarly journals Factors Associated with 0-28 Day Neonatal Mortality in Central Aceh Regency in 2020

2021 ◽  
Vol 2 (2) ◽  
pp. 38-49
Author(s):  
Asriwati Amirah ◽  
Thomson P Nadapdap ◽  
Suryani Suryani
Keyword(s):  
Logistic Regression ◽  
Neonatal Mortality ◽  
Maternal Age ◽  
P Value ◽  
Multiple Logistic Regression ◽  
Chi Square ◽  
Factors Associated ◽  
Regression Test ◽  
Chi Square Test ◽  
Logistic Regression Test

This study aims to determine the factors associated with neonatal mortality 0-28 days in Central Aceh District in 2020. This research is a quantitative study with a case control research design and uses a retrospective approach. The study population was all mothers giving birth whose babies died at the age of 0-28 days from January to December 2020. The sample in this study was 120 respondents consisting of 60 cases and 60 controls. The sampling technique used was total sampling. Data analysis using chi square test and multiple logistic regression test. The results of the bivariate analysis using the chi square test showed that there were 2 variables that were significantly related to neonatal mortality, namely the maternal age variable with p value = 0.012 and the pregnancy examination variable with p value = 0.047. The results of multivariate analysis with multiple logistic regression test showed that there were 3 variables that influenced neonatal mortality, namely the maternal age variable with a p value of 0.001, the birth spacing variable with a p value of 0.018 and the pregnancy examination variable with a p value of 0.018, while the most dominant variable affecting the incidence of death Neonatal age is the variable of maternal age with an OR value of 4.397.

scholarly journals Development and Validation of a 90-day Mortality Prediction Nomogram for AMI Patients: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Rui Yang ◽  
Wen Ma ◽  
Tao Huang ◽  
Lu-Ming Zhang ◽  
Di-Di Han ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Random Forest ◽  
Goodness Of Fit ◽  
Risk Model ◽  
Mortality Prediction ◽  
Multiple Logistic Regression ◽  
Goodness Of Fit Test ◽  
Standard Curve ◽  
Mimic Iii

Abstract Background: The purpose of this study was to identify the factors influencing the 90-day mortality of acute myocardial infarction(AMI) patients, and to establish a prognostic model for these patients based on the MIMIC-III database.Methods: Retrospective study methods were used to collect AMI patient data that met the inclusion criteria from the MIMIC-III database. Variable importance selection was determined using the random forest algorithm. Multiple logistic regression was used to determine AMI-related risk factors, with the results represented as a nomogram.Results: The baseline scores for the training and validation groups were very flat, and indicators for developing risk-model nomograms were obtained after random forest and multiple logistic regression. The AUC of the risk model was the highest (0.826 and 0.818 in the training and validation groups, respectively) . The Hosmer-Lemeshow goodness-of-fit test and standard curve both produced very consistent results. Both the NRI and IDI values indicated that the risk model had significant predictive power, and DCA results indicated that the risk model had good net benefits for clinical application.Conclusions: The results of this study indicated that age, troponinT, VT, VFI, MI_his, APS-III, bypass, and PCI were risk factors for 90-day mortality in AMI patients. Interactive nomograms could provide intuitive and concise personalized 90-day mortality predictions for AMI patients.

scholarly journals The performance of COVID-19 Surveillance System as timely containment strategy in Western Oromia, Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Afework Tamiru ◽  
Bikila Regassa ◽  
Tamirat Alemu ◽  
Zenebu Begna
Keyword(s):  
Logistic Regression ◽  
Health Facility ◽  
Goodness Of Fit ◽  
Health Facilities ◽  
P Value ◽  
Multivariable Logistic Regression Analysis ◽  
Health Extension Worker ◽  
Goodness Of Fit Test ◽  
Multivariable Logistic Regression ◽  
Event Based

Abstract Background COVID-19 has been swiftly spreading throughout the world ever since it emerged in Wuhan, China, in late December 2019. Case detection and contact identification remain the key surveillance objectives for effective containment of the pandemic. This study was aimed at assessing performance of surveillance in early containment of COVID 19 in Western Oromia, Ethiopia. Methods A cross-sectional study was conducted from August 1 to September 30, 2020, in the 7 kebeles of Nekemte and 2 kebeles of Shambu Town. Residents who lived there for at least the past six months were considered eligible for this study. Data were collected from community and health system at different levels using semi structured questionnaire and checklist, respectively. Participants’ health facility usage (dependent variable) and perceived risk, awareness, Socioeconomic Status, and practices (independent variable) were assessed. Bivariable analysis was computed to test the presence of an association between dependent and independent variables. Independent predictors were identified on multivariable logistic regression using a p-value of (<0.05) significance level. We have checked the model goodness of fit test by Hosmer-lemeshow test. Results One hundred seventy-nine (41%) of the participants believe that they have a high risk of contracting COVID-19 and 127 (29%) of them reported they have been visited by health extension worker. One hundred ninety-seven (45.2%) reported that they were not using health facilities for routine services during this pandemic. Except one hospital, all health facilities (92%) were using updated case definition. Three (33%) of the assessed health posts didn’t have community volunteers. On multivariable logistic regression analysis, the source of income AOR=0.30, 95% CI (0.11, 0.86), perceived level of risk AOR=3.42, 95% CI (2.04, 5.7) and not visited by health extension workers AOR=0.46, 95% CI (0.29, 0.74) were found to be independent predictors of not using health facilities during this pandemic. Conclusion Event based surveillance, both at community and health facility level, was not performing optimally in identifying potential suspects. Therefore, for effective early containment of epidemic, it is critical to strengthen event based surveillance and make use of surveillance data for tailored intervention in settings where mass testing is not feasible.

scholarly journals Prevalence And Factors Associated With Substance Use Among Street Children In Jimma Town, Oromiya National Regional State, Ethiopia: A Community Based Cross-Sectional StudyL STUDY

2020 ◽  
Author(s):  
Mengistu Ayenew ◽  
Teshome Kabeta ◽  
Kifle Woldemichael
Keyword(s):  
Substance Use ◽  
Logistic Regression ◽  
Street Children ◽  
World Health ◽  
P Value ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Factors Associated ◽  
The World ◽  
Jimma Town

Abstract Background: Street children constitute a marginalized population in most urban centers of the world. According to UN sources, there are up to 150 million street children in the world today. In Ethiopia, 150,000 children live on the streets in Ethiopia, about 60,000 of them in the capital. However, aid agencies estimate that the problem may be far more serious, with nearly 600,000 street children country-wide and over 100,000 in Addis Ababa. World Health Organization estimates that globally, 25- 90% of street children indulge in substance use. Even if substance use has become a common problem in Ethiopia, most of the studies done mainly focused among schools, college and university students. Research on street children and their substance use habits in Ethiopia, specifically in Jimma is limited that’s why the number of street children is not known. Objectives: To assess the prevalence and factors associated with substance use among street children in Jimma town of Ethiopia in 2019.Methods: Cross sectional study was undertaken from March 1-31, 2019. Complete enumeration of study subjects was done and all 312 children of the streets were included. Interviewer administered structured questionnaires was used to collect the data. Bivariable logistic regression was carried out to select candidate for multiple logistic regression analysis with p-value <0.25 at 95% confidence. Multiple logistic regression was carried out with those candidate variables using backward method and the association was declared with p value of <0.05 at 95% confidence level.Result: Three hundred twelve street children were included in the study. The prevalence of substance use was 96 (30.8%) with 95% CI [25-36.2]. Age>14 [AOR: 1.97 95%CI:1.00-3.889], attending grade 1-4th [AOR: 0.33 95%CI:0.151-0.737], attending 5th grade and above [AOR: 0.27 CI:0.093-0.756], child whose mother used substances [AOR: 7.78 95%CI:3.00-20.11], child didn’t know his maternal substance use status [AOR:5.1 95%CI: 2.19-11.81], child whose sibling use substance [AOR: 2.23 95%CI:1.254-5.63], best friend substance use [AOR: 11.01 95%CI:5.47-25.04] and staying 12-60 months on the street [AOR:3.00 95%CI:1.511-5.96] and staying >5 years on the street [AOR:4.6 95%CI:1.06-19.7] were significantly associated with substance use.Conclusion and recommendation: The prevalence of substance use among street children in Jimma town was high. Mothers and siblings have crucial roles in determining substance use behavior of the children. Stakeholders who are working on the improvement in the life of children of the street should try to satisfy the need of the children by intervening at individual level, at family or community level and at levels beyond community to lessen the problem to some extent. Researchers should do similar researches in more detail on these vulnerable but neglected groups of children to fully understand about the problem so the findings will be used as inputs for concerned bodies.

scholarly journals Multicenter Validation of the Survival After Acute Civilian Penetrating Brain Injuries (SPIN) Score

Neurosurgery ◽  
2019 ◽  
Vol 85 (5) ◽  
pp. E872-E879 ◽  
Author(s):  
Abdul Ghani Mikati ◽  
Julie Flahive ◽  
Muhammad W Khan ◽  
Aditya Vedantam ◽  
Shankar Gopinath ◽  
...  
Keyword(s):  
United States ◽  
Logistic Regression ◽  
Goodness Of Fit ◽  
Brain Injuries ◽  
Injury Severity ◽  
Public Health Problem ◽  
The United States ◽  
Spin Model ◽  
Receiver Operating Curve ◽  
P Value

AbstractBACKGROUNDCivilian penetrating traumatic brain injury (pTBI) is a serious public health problem in the United States, but predictors of outcome remain largely understudied. We previously developed the Survival After Acute Civilian Penetrating Brain Injuries (SPIN) score, a logistic, regression-based risk stratification scale for estimating in-hospital and 6-mo survival after civilian pTBI with excellent discrimination (area under the receiver operating curve [AUC-ROC = 0.96]) and calibration, but it has not been validated.OBJECTIVETo validate the SPIN score in a multicenter cohort.METHODSWe identified pTBI patients from 3 United States level-1 trauma centers. The SPIN score variables (motor Glasgow Coma Scale [mGCS], sex, admission pupillary reactivity, self-inflicted pTBI, transfer status, injury severity score, and admission international normalized ratio [INR]) were retrospectively collected from local trauma registries and chart review. Using the original SPIN score multivariable logistic regression model, AUC-ROC analysis and Hosmer–Lemeshow goodness of fit testing were performed to determine discrimination and calibration.RESULTSOf 362 pTBI patients available for analysis, 105 patients were lacking INR, leaving 257 patients for the full SPIN model validation. Discrimination (AUC-ROC = 0.88) and calibration (Hosmer–Lemeshow goodness of fit, P value = .58) were excellent. In a post hoc sensitivity analysis, we removed INR from the SPIN model to include all 362 patients (SPINNo-INR), still resulting in very good discrimination (AUC-ROC = 0.82), but reduced calibration (Hosmer–Lemeshow goodness of fit, P value = .04).CONCLUSIONThis multicenter pTBI study confirmed that the full SPIN score predicts survival after civilian pTBI with excellent discrimination and calibration. Admission INR significantly adds to the prediction model discrimination and should be routinely measured in pTBI patients.

scholarly journals Risk factors for peripheral venous catheter failure: A prospective cohort study of 5345 patients

2021 ◽  
pp. 112972982110150
Author(s):  
Ya-mei Chen ◽  
Xiao-wen Fan ◽  
Ming-hong Liu ◽  
Jie Wang ◽  
Yi-qun Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Cohort Study ◽  
Goodness Of Fit ◽  
Insertion Site ◽  
Healthcare Providers ◽  
Venous Catheter ◽  
Goodness Of Fit Test ◽  
Peripheral Venous Catheter ◽  
Independent Risk Factors

Purpose: The objective of this study was to determine the independent risk factors associated with peripheral venous catheter (PVC) failure and develop a model that can predict PVC failure. Methods: This prospective, multicenter cohort study was carried out in nine tertiary hospitals in Suzhou, China between December 2017 and February 2018. Adult patients undergoing first-time insertion of a PVC were observed from catheter insertion to removal. Logistic regression was used to identify the independent risk factors predicting PVC failure. Results: This study included 5345 patients. The PVC failure rate was 54.05% ( n = 2889/5345), and the most common causes of PVC failure were phlebitis (16.3%) and infiltration/extravasation (13.8%). On multivariate analysis, age (45–59 years: OR, 1.295; 95% CI, 1.074–1.561; 60–74 years: OR, 1.375; 95% CI, 1.143–1.654; ⩾75 years: OR, 1.676; 95% CI, 1.355–2.073); department (surgery OR, 1.229; 95% CI, 1.062–1.423; emergency internal/surgical ward OR, 1.451; 95% CI, 1.082–1.945); history of venous puncture in the last week (OR, 1.298, 95% CI 1.130–1.491); insertion site, number of puncture attempts, irritant fluid infusion, daily infusion time, daily infusion volume, and type of sealing liquid were independent predictors of PVC failure. Receiver operating characteristic curve analysis indicated that a logistic regression model constructed using these variables had moderate accuracy for the prediction of PVC failure (area under the curve, 0.781). The Hosmer-Lemeshow goodness of fit test demonstrated that the model was correctly specified (χ2 = 2.514, p = 0.961). Conclusion: This study should raise awareness among healthcare providers of the risk factors for PVC failure. We recommend that healthcare providers use vascular access device selection tools to select a clinically appropriate device and for the timely detection of complications, and have a list of drugs classified as irritants or vesicants so they can monitor patients receiving fluid infusions containing these drugs more frequently.

scholarly journals Analysis and Factors Associated with Measles in Larut, Matang and Selama Districts, Perak, Malaysia

2020 ◽  
Vol 27 (5) ◽  
pp. 130-140
Author(s):  
Asraf Ahmad Qamruddin ◽  
Reza Qamruddin ◽  
Ayu Malik
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Incidence Rate ◽  
Logistic Regression Analysis ◽  
Protective Factor ◽  
Multiple Logistic Regression Analysis ◽  
Prior History ◽  
Multiple Logistic Regression ◽  
Case Definitions ◽  
Factors Associated

Objectives: To determine the incidence rate of measles and the factors associated with confirmed measles cases in Larut, Matang and Selama districts. Methods: Cross-sectional analysis was carried out looking at all suspected and laboratoryconfirmed measles cases in Larut, Matang and Selama districts between 2015 and 2019. Multiple logistic regression analysis was used to determine the associated factors for laboratory-confirmed measles cases. Results: The incidence rate for suspected measles showed an increasing trend from 2015–2019. For laboratory-confirmed measles cases, the incidence rate showed more variation with an increase to 36.11 per million population in 2017 from 5.67 per million population in 2015. The incidence rate later decreased to 10.99 per million population in 2018 and increased again to 24.47 per million population in 2019. From multiple logistic regression analysis, cases that fulfilled the case definition of measles were more likely to be laboratory-confirmed measles. On the other hand, a prior history of measles immunisation was a protective factor. Conclusion: Measles incidence is increasing in trend. Any suspected measles cases that fulfilled the clinical case definitions need to be further investigated. Immunisation should be promoted as they are effective in preventing and eliminating measles.

scholarly journals Identification of Factors Determining Winning in Men’s and Women’s Beach Volleyball: a Logistical Regression Approach

2021 ◽  
Vol 21 (1) ◽  
pp. 26-35
Author(s):  
Gopal Kumar ◽  
Anshuman Shukla ◽  
Amit Chhoker ◽  
Rohit Kumar Thapa
Keyword(s):  
Odds Ratio ◽  
Goodness Of Fit ◽  
Binary Logistic Regression ◽  
Ratio Test ◽  
Goodness Of Fit Test ◽  
Men And Women ◽  
Regression Approach ◽  
Lemeshow Test ◽  
Calculated Model ◽  
Women's Competition

The purpose of this study was to find the factors responsible for winning in the men’s and women’s beach volleyball championship. Materials and methods. The study sample consisted of a total of 212 matches for men and 214 matches for women of the 2017 & 2019 FIVB Men and Women Beach Volleyball World Championships held at Vienna & Hamburg from 28 July to 6 Aug 2017 and 28 June to 7 July 2019. The matches were played by 192 teams (both men and women combined) consisting of 384 numbers (both men and women combined) of players from different nations. The data were analyzed using Binary Logistic Regression (Forward: LR Method) with the result of the game as the dependent variable and predictor variables as covariates. β, standard error β, Wald’s χ2, odds ratio with 95% confidence interval were calculated. Model evaluation was conducted using the likelihood ratio test, Cox & Snell (R2), and Nagelkerke (R2) tests. The goodness of fit test for the models was conducted using the Hosmer & Lemeshow test. Results. The analysis revealed seven factors related to winning in men’s and women’s competition. While in league rounds, six factors in men’s and seven factors in women’s competition were related to winning. Besides, in knockout rounds, four factors in men’s and six factors in women’s competition were related to winning. Conclusion. The study shows that there is a significant association of important factors with respect to winning a match in an elite beach volleyball championship. The coaches and players can take note of the important factors responsible for winning in the elite beach volleyball championship, with different factors playing an important role in men’s and women’s competition during league and knockout rounds as well.

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