scholarly journals Symmetry and Asymmetry in Working and Commuting Arrangements between Partners in the Netherlands: Does the Residential Context Matter?

2009 ◽  
Vol 41 (9) ◽  
pp. 2181-2200 ◽  
Author(s):  
Edith de Meester ◽  
Maarten van Ham
Keyword(s):  
Logistic Regression ◽  
Time Pressure ◽  
Multinomial Logistic Regression ◽  
Housing Demand ◽  
Full Time ◽  
Dual Earner ◽  
Residential Context ◽  
The Impact ◽  
Good Access ◽  
Made In

Time spent on work and commuting within dual-earner households is often analysed separately for individuals, but this does no justice to the reality of dual-earner households where decisions on work and commuting are made in a household context. This paper reports on a quantitative study of the impact of the residential context on working arrangements and commuting arrangements of partners in couple and family households. Using multinomial logistic regression, we analysed data from the 2002 Netherlands Housing Demand Survey and the 2004 ABF Real Estate Monitor. The results show a (gendered) effect of residential location in terms of degree of urbanisation and job access on both working and commuting arrangements. Good access to jobs makes it more likely that couples have a symmetric full-time working arrangement and also more likely that both partners work far away from home. Those in symmetric full-time working arrangements are also those most likely to be in symmetric close commuting arrangements. This finding reflects the substantial time pressure on such households.

scholarly journals 600. Decreased Hospital Readmission After Programmatic Strengthening of an Outpatient Parenteral Antimicrobial Therapy (OPAT) Program

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S362-S363
Author(s):  
Gaurav Agnihotri ◽  
Alan E Gross ◽  
Minji Seok ◽  
Cheng Yu Yen ◽  
Farah Khan ◽  
...  
Keyword(s):  
Hospital Readmission ◽  
Multinomial Logistic Regression ◽  
Univariate Analysis ◽  
Tertiary Care ◽  
Intervention Group ◽  
Care Hospital ◽  
Full Time ◽  
Post Intervention ◽  
Before And After ◽  
The Impact

Abstract Background Although it is recommended that an OPAT program should be managed by a formal OPAT team that supports the treating physician, many OPAT programs face challenges in obtaining necessary program staff (i.e nurses or pharmacists) due to limited data examining the impact of a dedicated OPAT team on patient outcomes. Our objective was to compare OPAT-related readmission rates among patients receiving OPAT before and after the implementation of a strengthened OPAT program. Methods This retrospective quasi-experiment compared adult patients discharged on intravenous (IV) antibiotics from the University of Illinois Hospital before and after implementation of programmatic changes to strengthen the OPAT program. Data from our previous study were used as the pre-intervention group (1/1/2012 to 8/1/2013), where only individual infectious disease (ID) physicians coordinated OPAT. Post-intervention (10/1/2017 to 1/1/2019), a dedicated OPAT nurse provided full time support to the treating ID physicians through care coordination, utilization of protocols for lab monitoring and management, and enhanced documentation. Factors associated with readmission for OPAT-related problems at a significance level of p< 0.1 in univariate analysis were eligible for testing in a forward stepwise multinomial logistic regression to identify independent predictors of readmission. Results Demographics, antimicrobial indications, and OPAT administration location of the 428 patients pre- and post-intervention are listed in Table 1. After implementation of the strengthened OPAT program, the readmission rate due to OPAT-related complications decreased from 17.8% (13/73) to 6.5% (23/355) (p=0.001). OPAT-related readmission reasons included: infection recurrence/progression (56%), adverse drug reaction (28%), or line-associated issues (17%). Independent predictors of hospital readmission due to OPAT-related problems are listed in Table 2. Table 1. OPAT Patient Demographics and Factors Pre- and Post-intervention Table 2. Factors independently associated with hospital readmission in OPAT patients Conclusion An OPAT program with dedicated staff at a large academic tertiary care hospital was independently associated with decreased risk for readmission, which provides critical evidence to substantiate additional resources being dedicated to OPAT by health systems in the future. Disclosures All Authors: No reported disclosures

scholarly journals Perceptions and Adaptations to Climate Change in Southern Mali

2021 ◽  
Author(s):  
Tiémoko Soumaoro
Keyword(s):  
Climate Change ◽  
Logistic Regression ◽  
Educational Level ◽  
Multinomial Logistic Regression ◽  
Probit Model ◽  
Adaptation To Climate Change ◽  
Impact Of Climate Change ◽  
Main Determinants ◽  
The Impact

This study aims to determine the impact of climate change on market garden production in the extreme south of Mali through the perception and adaptation of market gardeners to climatic phenomena. The study used two models, namely the probit selection and Heckman results models and multinomial logistic regression, based on data collected from producers. A total of 194 producers were surveyed. The results of Heckman's probit model indicate that experience in agriculture and the educational level of the producers are the two main determinants of producers' perception and simultaneous adaptation to climate change. Among these variables agricultural experience is both positively and negatively correlated with perception.

scholarly journals A Novel Approach in Evaluating the Impact of Vehicle Age on Road Safety

2020 ◽  
Vol 32 (6) ◽  
pp. 789-796
Author(s):  
Árpád Török
Keyword(s):  
Logistic Regression ◽  
Road Safety ◽  
Multinomial Logistic Regression ◽  
Road Accident ◽  
Road Segment ◽  
Novel Approach ◽  
The Impact

This study examines the correlation between road accident casualties and the age of the vehicle, assuming that the age of vehicles and the improvements in their safety designs are related. The study evaluates the impact of the interrelationship between road segment characteristics and road accident type on vehicle age at the time of the accident (AVC). To analyse the nested relationship between these variables, a multinomial logistic regression (MML) model has been developed. The result of the analysis also duly finds that vehicle age has an emphatic role in the occurrence of accidents.

Tax Effects on the Net Income of Wives in Dual-Earner Households, 1980–1983

1987 ◽  
Vol 15 (4) ◽  
pp. 441-459
Author(s):  
Rose M. Rubin ◽  
Bobye J. Riney ◽  
Todd Johansen
Keyword(s):  
Women Workers ◽  
Reagan Administration ◽  
Paired Comparison ◽  
Full Time ◽  
Net Income ◽  
Income Levels ◽  
Income Distributions ◽  
Dual Earner ◽  
Tax Changes ◽  
The Impact

The objective of this study was to analyze the impact of changes in the federal income tax structure on net income of wives in dual-earner households between 1980 and 1983. Utilizing the second-earner net income model (SENIM), simulation distributions of net income of married full-time women workers, representing six occupational categories, are calculated for alternative spouse income levels and for households of different sizes. The resulting net income distributions are analyzed by paired comparison t-tests to determine the effects of tax changes on dual-earner households during the first Reagan administration. The findings indicate that the tax changes benefit dual-earner households at all income levels, but that lower-income households receive the least benefit, so that the effects are inequitable.

Revisiting the pathways to retirement: a latent structure model of the dynamics of transition from work to retirement

2014 ◽  
Vol 35 (8) ◽  
pp. 1739-1770 ◽  
Author(s):  
FENGYAN TANG ◽  
JEFFREY A. BURR
Keyword(s):  
Transition Probabilities ◽  
Multinomial Logistic Regression ◽  
Labour Force ◽  
Latent Structure ◽  
Future Research ◽  
Full Time ◽  
Structure Model ◽  
Men And Women ◽  
The Impact ◽  
Latent Structure Model

ABSTRACTA dynamic latent structure model of the work–retirement transition process was identified, focusing on transitions of work and retirement status for men and women aged 51–74 years. Using the Health and Retirement Study data (1998–2004), latent transition analysis was used to identify a best fitting model capturing work–retirement statuses in four samples defined by age and sex. The prevalence of each status was described and the dynamic transition probabilities within the latent structure were examined. Using multinomial logistic regression, socio-demographic, health, family and occupational factors were assessed to determine how each was related to the likelihood of occupying a specific latent status at baseline. Results showed that study respondents were classified into distinct groups: full retiree, partial retiree or part-time worker, full-time worker, work-disabled or home-maker. The prevalence of full retiree status increased, while the prevalence for full-time worker status decreased over time for both men and women. Membership rates in the work-disabled and partial retiree status were generally consistent, with decreased probabilities of the work-disabled status in the older age groups and increased probabilities of partial retirees among younger men. Our findings indicated that many older Americans experience multiple transitions on the pathway to retirement. Future research on late-life labour-force transitions should evaluate the impact of the recent Great Recession and examine the role of larger socio-economic contexts.

scholarly journals The impact on selection of non-alcoholic vs alcoholic drink availability: an online experiment

2019 ◽  
Author(s):  
Anna Katherine Mary Blackwell ◽  
Katie De-loyde ◽  
Gareth J Hollands ◽  
Richard Morris ◽  
Laura A Brocklebank ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Factorial Design ◽  
Time Pressure ◽  
Online Experiment ◽  
Cognitive Resource ◽  
Alcoholic Drink ◽  
Alcoholic Drinks ◽  
Resource Conditions ◽  
The Impact ◽  
Selection Of

Background Increasing the availability of healthier food increases its selection and consumption. However, there is an absence of evidence related to alcohol. This study aimed to estimate the impact of increasing the absolute and relative availability of non-alcoholic compared to alcoholic drinks on selection. We also assessed whether effects were modified by cognitive resource.Methods UK adult weekly alcohol consumers (n=808) were recruited to an online experiment with a hypothetical drink selection task. Participants were randomly assigned to one of eight conditions, in a 4 (availability) x 2 (cognitive resource) factorial design. The four availability conditions were: i. Reference 1 (two non-alcoholic, two alcoholic drinks); ii. Reference 2 (four non-alcoholic, four alcoholic drinks); iii. Increased non-alcoholic drinks (six non-alcoholic, two alcoholic drinks); iv. Increased alcoholic drinks (two non-alcoholic, six alcoholic drinks). The two cognitive resource conditions were: a. Low (high time pressure); b. High (low time pressure). Logistic regression was used to assess selection of a non-alcoholic drink. Results49% of participants selected a non-alcoholic drink in the Increased non-alcoholic drinks condition, compared to 36% in Reference 1, 39% in Reference 2, and 26% in the Increased alcoholic drinks condition. Non-alcoholic drink selection was similar between Reference 1 and 2 when the total number of drinks increased (absolute availability) but the proportion of non-alcoholic compared to alcoholic drinks (relative availability) was unchanged (OR = 1.15, 95% CI 0.77, 1.73). In contrast, the odds of selecting a non-alcoholic drink were 71% higher when both absolute and relative availability of non-alcoholic compared to alcoholic drinks was increased from Reference 1 to the Increased non-alcoholic drinks condition (OR: 1.71, 95% CI 1.15, 2.54), and 48% higher when increased from Reference 2 to the Increased non-alcoholic drinks condition (OR: 1.48, 95% CI 0.99, 2.19). There was no evidence of an effect of cognitive resource.ConclusionsGreater availability of non-alcoholic drinks, compared to alcoholic drinks, increased their online selection, an effect that may be larger when changing their relative availability, i.e., increasing the proportion of non-alcoholic drinks. Naturalistic studies are needed to determine the impact of availability interventions on reducing alcohol purchasing and consumption.

scholarly journals Patient Input in Regional Healthcare Planning—A Meaningful Contribution

2019 ◽  
Vol 16 (19) ◽  
pp. 3754
Author(s):  
Heidrun Sturm ◽  
Miriam Colombo ◽  
Teresa Hebeiss ◽  
Stefanie Joos ◽  
Roland Koch
Keyword(s):  
Logistic Regression ◽  
Multinomial Logistic Regression ◽  
Healthcare Services ◽  
Multivariate Model ◽  
Decision Makers ◽  
Financial Resources ◽  
Regional Factors ◽  
Model Region ◽  
User Perspectives ◽  
The Impact

Background: There are well-known methodological and analytical challenges in planning regional healthcare services (HCS). Increasingly, the need for data-derived planning, including user-perspectives, is discussed. This study aims to better understand the possible contribution of citizen experience in the assessment of regional HCS needs in two regions of Germany. Methods: We conducted a written survey in two regions of differing size—a community (3653 inhabitants) and a county (165,211 inhabitants). Multinomial logistic regression was used to assess the impact of sociodemographic and regional factors on the assessment of HCS provided by general practitioners (GPs) and specialists. Results: Except for age and financial resources available for one’s own health, populations did not differ significantly between the regions. However, citizens’ perception of HCS (measured by satisfaction with 1 = very good to 5 = very poor) differed clearly between different services (e.g., specialists: 3.8–4.3 and pharmacies: 1.7–2.5) as well as between regions (GPs: 1.7–3.1; therapists: 2.9–4). In the multivariate model, region (next to income and age) was a consistent predictor of the perception of GP- and specialist-provided care. Discussion: Citizens’ perceptions of HCS correspond to regional provider density (the greater the density, the better the perception) and add insights into citizens’ needs. Therefore, they can provide valuable information on regional HCS strengths and weaknesses and are a valid resource to support decision makers in shaping regional care structures.

scholarly journals Impact of COVID-19 on the Knowledge and Attitudes of Dentists toward Teledentistry

2021 ◽  
pp. 238008442199863
Author(s):  
S.P. Plaza-Ruíz ◽  
D.M. Barbosa-Liz ◽  
A.A. Agudelo-Suárez
Keyword(s):  
Logistic Regression ◽  
Digital Media ◽  
Multinomial Logistic Regression ◽  
Bivariate Analysis ◽  
Dental Practice ◽  
Cross Sectional Survey ◽  
Sociodemographic Variables ◽  
Knowledge And Attitudes ◽  
Knowledge And Practice ◽  
The Impact

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has created a new scenario for dental practice, and teledentistry (TD) is a field of relevance for dentists. Objective: To evaluate the impact of the COVID-19 pandemic on the knowledge, practices, and expectations of dentists toward TD and its association with sociodemographic variables. Methods: A cross-sectional survey was administered to dentists in Colombia as part of global research on the impact of COVID-19 on dentistry. The core questionnaire included 5 additional questions on TD that were added by the Colombian research team in 5 domains about TD: Q1, knowledge; Q2, practices; Q3, expectations; Q4, usefulness; and Q5, reimbursement. Sociodemographic variables were also measured. The questionnaire was validated in a pilot test and administered via digital media. Descriptive and bivariate analysis for sociodemographic and TD variables were done. For the evaluation of the chances of a determined answer, an ordinal multinomial logistic regression (Q1 and Q2) and binomial logistic regression (Q3 and Q5) analyses were made. Results: In total, 5,370 dentists answered the survey (women: 3,878; mean age: 45 y). The response rate of the survey was 16.84%. Knowledge and practice of TD before the COVID-19 pandemic were both low (25.75% and 12.42%, respectively); however, since the beginning of the current pandemic, knowledge increased by 62.72% and practice by 42.53%. Some 93.1% of respondents considered that TD could be useful in their clinical practice, and 59.55% would consider practicing it after the pandemic. A high number of dentists (88.58%) did not charge for these services. Logistic regressions showed significant differences according to sociodemographic variables. Conclusions: The COVID-19 pandemic has had a great impact on TD, increasing knowledge and practice significantly. Dentists expect to continue practicing TD in the future. However, some geographical, technological, and attitudinal barriers need to be broken down to increase daily use of TD. Knowledge Transfer Statement: This article provides an overview about the impact of COVID-19 pandemic in the knowledge and attitudes about teledentistry (TD) in general dentists and both clinical and nonclinical specialists. Although some barriers to the use of TD continue, this pandemic brought with it a new scenario for dental practice, which must be implemented through training for professionals to increase its use.

scholarly journals Rationale and methodology for a population-based study of diabetes and common eye diseases in a rural area in Bangladesh: Bangladesh Population based Diabetes and Eye Study (BPDES)

2015 ◽  
Vol 14 (4) ◽  
pp. 367-375 ◽  
Author(s):  
Rahul Chakrabarti ◽  
Robert P Finger ◽  
Ecosse Lamoureux ◽  
M Tauhidul Islam ◽  
Mohamed Dirani ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Formal Education ◽  
Multinomial Logistic Regression ◽  
Adult Population ◽  
Medical Science ◽  
Population Based ◽  
Anthropometric Parameters ◽  
Diabetes Status ◽  
The Impact

Objectives: The purpose of this study were (i) to assess the knowledge, attitudes and practice (KAP) and impact of socioeconomic factors upon the prevalence of pre-diabetes and diabetes (ii) compute a diabetes risk score and (iii) estimate the undiagnosed prevalence of hypertension amongst a large adult population in rural Bangladesh. Methods/design: A sample of 3104 adults aged ?30 years were interviewed from a cluster sample of 18 villages in the Banshgram Union of the Narail District, Bangladesh. Each participant was interviewed using a semi-structured questionnaire that assessed participant knowledge, attitudes and practice (KAP) regarding diabetes, its risk factors, complications and management. Data on demographic details, education, socioeconomic status, medical history, dietary and lifestyle behavior was obtained. Fasting capillary glucose, blood pressure, presenting vision and anthropometric parameters were measured. Participants were stratified into those without diabetes, pre-diabetes, and diagnosed diabetes (known and newly diagnosed). The association of KAP components and other risk factors with diabetes status was assessed. Logistic regression analysis allowed for the development of a non-invasive risk-stratification tool to be developed and implemented for the rural Bangladeshi community. Multinomial logistic regression was applied to report the associations of risk factors with the severity of hypertension. Results and discussion: In Banshgram, over 95% people had not undergone any previous diabetes screening. Baseline demographics estimated the prevalence of diabetes in the sample was 3.2% (n=99). 47% of participants had no formal education. Whilst there is literature on the prevalence of diabetes in urban and semi-urban Bangladesh there is a paucity of evidence examining the impact of KAP of diabetes amongst the general community. We believe that the BPDES has developed a methodology to provide new evidence to guide health policy and targeted population-based interventions in these rural areas.Bangladesh Journal of Medical Science Vol.14(4) 2015 p.367-375

scholarly journals Domestic and International Remittances and Food Security in Sub-Saharan Africa

2020 ◽  
Vol 5 (1) ◽  
pp. 37-54
Author(s):  
Narges Ebadi ◽  
Davod Ahmadi ◽  
Hugo Melgar-Quiñonez
Keyword(s):  
Logistic Regression ◽  
Food Security ◽  
Food Insecurity ◽  
Multinomial Logistic Regression ◽  
Binary Logistic Regression ◽  
Sub Saharan Africa ◽  
International Remittances ◽  
Food Security Status ◽  
Sub Saharan ◽  
The Impact

The amount of remittances to developing counties, defined as the flow of monetary and non-monetary goods, has increased globally and has surpassed the amount of money spent on foreign aid in these developing countries. The impact of remittances on households’ purchasing power has been studied; however, its link to food security status is yet to be explored. This paper quantitatively analyses the relationship between food security status (measured using the Food Insecurity Experience Scale) and the receipt of domestic/ international or both remittances on households in sub- Saharan Africa. Data are derived from the Gallup World Poll from the years 2014-2017. Multinomial logistic regression models and binary logistic regression analyses were conducted to analyze the data. Results showed that remittance recipients had significantly higher household incomes (especially if the remittance was coming internationally and domestically), lived with significantly more household members (7 or more members), and were more likely to be separated (including divorced or widowed). Households that received domestic remittances had significantly higher odds of being food insecure than households receiving no remittances. Conversely, households receiving remittances internationally or a combination of domestic and international remittances had significantly lower odds of food insecurity compared to non-receivers. This study found that receiving remittances affect the food security status of people living in SSA countries. 

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