scholarly journals Factors influencing emergency medical competencies of health centers and fire stations in areas that are vulnerable to earthquakes

2021 ◽  
Vol 8 (3) ◽  
pp. 192-200
Author(s):  
Seolhyang Baek ◽  
Seungwoo Han
Keyword(s):  
Linear Regression ◽  
Health Center ◽  
Disaster Response ◽  
Linear Regression Analysis ◽  
Service Experience ◽  
Rescue Service ◽  
Factors Influencing ◽  
Emergency Medical ◽  
Fire Station ◽  
Response Exercise

Objective This study aimed to investigate the factors influencing the emergency medical competency (EMC), perceived by the fire station and health center staff, in the areas where of emergency medical vulnerability where earthquakes had occurred.Methods This study was conducted between December 2019 and February 2020. A proper questionnaire was created to evaluate EMC in disaster situations and administered to the fire station and the health center groups. Descriptive variables of each group were calculated. The Kendall rank correlation analysis was used to measure the relationships between the demographic variables, disaster-related variables, and EMC. The factors influencing the EMC for both groups were investigated in the linear regression analysis.Results For a total of 200 respondents, the mean scores of EMC were 99.85±21.24 and 95.24±20.05 for the fire station (n=96) and the health center (n=104) groups, respectively (P=0.121). EMC was significantly correlated with age, years of service, job position, natural disaster experience, disaster relief service experience, and joint disaster response exercise (P<0.050). Linear regression analysis revealed that the duration of joint disaster response exercise (β=0.640, t=11.696) in Model 1 (F=136.806, P<0.001), the duration of joint disaster response exercise (β=0.627, P<0.001), and disaster rescue service experience (β=0.124, P<0.001) in Model 2 (F=72.431, P<0.001) were independently associated with EMC improvement.Conclusion Our findings indicate that the disaster preparedness program with a longer duration of joint disaster response exercise and more frequent disaster rescue service experience is necessary for improved and systematic response to a disaster.

MULTILEVEL LINEAR REGRESSION ANALYSIS OF FACTORS INFLUENCING BODY MASS INDEX AMONG BANGLADESHI MARRIED NON-PREGNANT WOMEN

2016 ◽  
Vol 49 (4) ◽  
pp. 498-508 ◽  
Author(s):  
Md Kamruzzaman ◽  
A. S. M. A. Mamun ◽  
Sheikh Muhammad Abu Bakar ◽  
Aik Saw ◽  
T. Kamarul ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Reproductive Age ◽  
Cluster Effect ◽  
Women Of Reproductive Age ◽  
First Marriage ◽  
Factors Influencing ◽  
Age At First Marriage

SummaryThe aim of this study was to investigate the socioeconomic and demographic factors influencing the body mass index (BMI) of non-pregnant married Bangladeshi women of reproductive age. Secondary (Hierarchy) data from the 2011 Bangladesh Demographic and Health Survey, collected using two-stage stratified cluster sampling, were used. Two-level linear regression analysis was performed to remove the cluster effect of the variables. The mean BMI of married non-pregnant Bangladeshi women was 21.60±3.86 kg/m2, and the prevalence of underweight, overweight and obesity was 22.8%, 14.9% and 3.2%, respectively. After removing the cluster effect, age and age at first marriage were found to be positively (p<0.01) related with BMI. Number of children was negatively related with women’s BMI. Lower BMI was especially found among women from rural areas and poor families, with an uneducated husband, with no television at home and who were currently breast-feeding. Age, total children ever born, age at first marriage, type of residence, education level, level of husband’s education, wealth index, having a television at home and practising breast-feeding were found to be important predictors for the BMI of married Bangladeshi non-pregnant women of reproductive age. This information could be used to identify sections of the Bangladeshi population that require special attention, and to develop more effective strategies to resolve the problem of malnutrition.

scholarly journals ANALISIS PRILAKU KONSUMSI MUSLIM PADA BULAN RAMADHAN

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Hareastoma Hareastoma
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Consumption Patterns ◽  
Coefficient Of Determination ◽  
Analysis Model ◽  
Factors Influencing

This study aims to analyze the patterns of Muslim consumption behaviors in the Ramadhan month around Jambi. A multiple linear regression analysis model is used to see the factors influencing the consumption behaviors. The finding shows that cultural and religiosity variables are the dominant factors influencing the pattern of Muslim consumption behaviors in the Ramadhan month. From the statistic results of SPSS verse 22, it was found the coefficient of determination (adjusted R2) obtained at 0.164. (16.4%). It reflects that 16.4% of consumption patterns influencing by the Cultural, Social, Religiusity and Psychology variables while the remaining 83.6% consumption patterns are influenced by unnecessary variables in this research.

The Determinant Factors of Foreign Tourists’ Visit to Tourism Destination in North Sumatra

2019 ◽  
Vol 10 (1) ◽  
pp. 266
Author(s):  
Maria Magdalena BATE’E ◽  
Syah Abadi MENDROFA ◽  
Yamolala ZEGA ◽  
Syukur Kasieli HULU ◽  
LELYSO LELYSO ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Negative Influence ◽  
Dominant Factor ◽  
Tourism Destination ◽  
Factors Influencing ◽  
North Sumatra

This research aims to investigate the factors influencing the rate of foreign tourists’ visit to tourism destination in North Sumatra, Indonesia. The data were collected using observation, interview, documentation study and questionnaires. The data were analysed using multiple linear regression analysis. The findings of the study indicated that the ancillary facilities are the dominant factor influencing tourists’ visit to tourism destination in North Sumatera. The factors of service quality and facilities and infrastructures provide negative influence on tourists’ visit to tourism destination.

scholarly journals Determinan Permintaan Motor Kredit Pada PT. Federal International Finance (FIF) di Kabupaten Manokwari

2018 ◽  
Vol 1 (1) ◽  
pp. 35-45
Author(s):  
Yuyun P. Rahayu ◽  
Elina R. Situmorang ◽  
Yospin Pasiamping
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
International Finance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Descriptive Statistics ◽  
Analysis Method ◽  
Factors Influencing ◽  
Credit Demand

Purpose of this study is to analyze determinant factors influencing the demand for Honda motorcycle credit at PT. Federal International Finance (FIF) Manokwari Regency. Descriptive statistics analysis method is used. Data was collected by interviews and questionnaires. Data analysis was performed using multiple linear regression analysis tools. The results show that the growth of credit demand in Manokwari Regency from 2011 to 2014 showed an increase. This because the use of motorbikes are efficient and economical as transportation. Thus, people prefer to use it rather than other transportation, such as cars. Furthermore, result of this study is that of the four variables used (income, credit payment period, the price of substituted products and goods) simultaneously have a positive and significant effect on the demand for Honda motorcycle credit in Manokwari Regency. While partially, only the credit payment period does not affect the demand for Honda motorcyclecredit.

An Empirical Study on Awqaf Endowers’ Perception: Imperatives for Awqaf Institutions’ Success

2018 ◽  
Vol 15 (2) ◽  
pp. 66-79
Author(s):  
Fuadah Johari ◽  
Nursilah Ahmad ◽  
Mohammad Haji Alias ◽  
Syadiyah Abdul Shukor ◽  
Kalsom Abd Wahab ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Significant Contribution ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
External Factors ◽  
Easy Access ◽  
Charitable Behavior ◽  
Factors Influencing ◽  
Internal And External Factors

The success of awqaf institutions are determined by many factors, among others is good feedback from the endowers either from their contribution or repeat endowing. This study investigates the perception of endowers to endow and factors motivating them to repeat endowing in ensuring waqf institution success among 366 respondents in 2014. The study employs two models of multiple linear regression analysis. The first model examines the determinant factors influencing the intention to endow whereas the second model investigates internal and external factors influencing the intention to repeated waqf endowment in future. The findings show integrity of waqf institution, religious obligation and access to cash waqf have significant contribution to the endower’s perception to endow cash waqf. Meanwhile, repeated cash waqf behavior will take place if endowers are familiar with waqf institutions and have easy access to cash waqf as these two variables are significantly related to dependent variable. Thus, in order to motivate endowers to repeat cash waqf behavior, continuous promotion to create familiarity together with easy access to cash waqf are vital to encourage repeated charitable behavior.

scholarly journals Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Johann Georg Keunecke ◽  
Christine Gall ◽  
Torsten Birkholz ◽  
Andreas Moritz ◽  
Christian Eiche ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Task Demands ◽  
Measurement Tool ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Emergency Medical

Abstract Background Human workload is a key factor for system performance, but data on emergency medical services (EMS) are scarce. We investigated paramedics’ workload and the influencing factors for non-emergency medical transfers. These missions make up a major part of EMS activities in Germany and are growing steadily in number. Methods Paramedics rated missions retrospectively through an online questionnaire. We used the NASA-Task Load Index (TLX) to quantify workload and asked about a variety of medical and procedural aspects for each mission. Teamwork was assessed by the Weller teamwork measurement tool (TMT). With a multiple linear regression model, we identified a set of factors leading to relevant increases or decreases in workload. Results A total of 194 non-emergency missions were analysed. Global workload was rated low (Mean = 27/100). In summary, 42.8% of missions were rated with a TLX under 20/100. TLX subscales revealed low task demands but a very positive self-perception of performance (Mean = 15/100). Teamwork gained high ratings (Mean TMT = 5.8/7), and good teamwork led to decreases in workload. Aggression events originating from patients and bystanders occurred frequently (n = 25, 12.9%) and increased workload significantly. Other factors affecting workload were the patient’s body weight and the transfer of patients with transmittable pathogens. Conclusion The workload during non-emergency medical transfers was low to very low, but performance perception was very positive, and no indicators of task underload were found. We identified several factors that led to workload increases. Future measures should attempt to better train paramedics for aggression incidents, to explore the usefulness of further technical aids in the transfer of obese patients and to reconsider standard operating procedures for missions with transmittable pathogens.

scholarly journals Theory of Planned Behavior Application to ANC behavior for Early Detection of Pregnancy Risk in Public Health Center Saronggi, Sumenep Regency

2021 ◽  
Vol 5 (1) ◽  
pp. 195-202
Author(s):  
Siti Zainurrah ◽  
Katmini Katmini
Keyword(s):  
Linear Regression ◽  
Early Detection ◽  
Health Center ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Multiple Linear Regression Analysis ◽  
P Value ◽  
Pregnancy Risk ◽  
Cross Sectional

Antenatal care services are basic health services for pregnant women that must be carried out according to standards, namely at least 4 times during pregnancy. Each pregnancy can develop into problems or complications, so monitoring is necessary during pregnancy.The purpose of this study was to analyze the effect of attitudes and norms on ANC behavior for early detection of pregnancy risk at the Saronggi Health Center, Sumenep Regency. The design of this study is a quantitative observational study with a cross sectional approach with the focus of the research being directed at analyzing the influence of attitudes and norms on ANC behavior for early detection of pregnancy risk at the Saronggi Health Center, Sumenep Regency. The total population is 134 respondents and a sample of 100 respondents is taken using the Simple Random Sampling technique. Data analysis using Linear Regression test. The results showed thatalmost half of the respondents have attitudes in the moderate category, 46 respondents (46%). Most of the respondents have a norm in the sufficient category of 52 respondents (52%). Almost half of the respondents have behavior in the moderate category, as many as 48 respondents (48%).Based on the results of Multiple Linear Regression analysis shows that with a p-value of 0.000 <0.05 then H1 is accepted so it can be concluded that simultaneously there is the influence of attitudes and norms on ANC behavior for early detection of pregnancy risk at the Saronggi Health Center, Sumenep Regency with a magnitude of 86.9%. It is expected that respondents can carry out Integrated ANC regularly and follow all the treatment agendas that must be carried out during pregnancy in order to avoid the risk of pregnancy.

Proposed models to measure the quality of highway projects

2017 ◽  
Vol 24 (6) ◽  
pp. 988-1003 ◽  
Author(s):  
Saad Abdel-Karim El-Hamrawy ◽  
Ahmed Ebrahim Abu El-Maaty ◽  
Ahmed Yousry Akal
Keyword(s):  
Regression Analysis ◽  
Quality Improvement ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Quality Measurement ◽  
Quality Performance ◽  
Highway Projects ◽  
Content Type ◽  
Factors Influencing

Purpose Quality measurement is the trigger for quality improvement. Indeed, what gets measured gets done. The real scope of quality improvement in construction projects is the difficulty and-maybe-lack of quality measurement methods. The purpose of this paper is to identify the factors influencing the quality performance of highway projects in Egypt. Furthermore, this paper also contributes to develop models to measure the quality level of these projects. Design/methodology/approach A literature review is conducted to compile a list of factors influencing the quality of highway projects. The resulting list of factors is subjected to a questionnaire survey which was sent to owners, consultants and contractors of highway projects in Egypt. Furthermore, linear regression analysis and statistical fuzzy approaches are adopted for modeling process. Findings The survey results show that availability of experienced staff in the owner’s and contractor’s teams during the project execution, asphalt quality and type used in the construction process, pavement is not designed according to the regional conditions, and contractor’s labors and equipment capability are among the most important factors influencing quality performance. Originality/value The main contribution of this study is to develop models to measure the quality of highway projects in Egypt. The first model is based on the linear regression analysis, while the second one is based on a statistical fuzzy approach which is a hybrid approach from the fuzzy logic and regression analysis. Validation of the models reveals that the linear regression and the statistical fuzzy models can accurately assess expected quality of any future highway projects at confidence levels 68.97 and 87.44 percent, respectively.

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