scholarly journals Factors influencing the intention of Indonesian nursing students to work in rural areas

2019 ◽  
Vol 7 (3) ◽  
pp. e000144 ◽  
Author(s):  
Amanatul Firdaus ◽  
Ferry Efendi ◽  
Setho Hadisuyatmana ◽  
Gading Ekapuja Aurizki ◽  
Khatijah Lim Abdullah
Keyword(s):  
Logistic Regression ◽  
Nursing Students ◽  
Rural Areas ◽  
Binary Logistic Regression ◽  
Education Programme ◽  
Cross Sectional Study ◽  
Local Context ◽  
Cross Sectional ◽  
Place Of Origin ◽  
Level Of Significance

ObjectiveThe aim of this study was to analyse the factors associated with the intention of Indonesian nursing students to work in rural areas.DesignThis was a cross-sectional study. The instrument used was a self-developed questionnaire consisting of 13 questions.The data were analysed using the χ2 statistics test and binary logistic regression with a level of significance <0.05.SettingThe study was conducted at a public nursing school located in urban Surabaya, East Java, Indonesia, in December 2017.ParticipantsA total of 714 nursing students from four different programmes were involved.ResultsThis study found that almost 60% of nursing students were reluctant to work in rural areas. Of the three variables which were significant in the χ2 analysis, only two were significant following the logistic regression test, namely the class programmes of undergraduate regulars (OR=2.274; 95% CI 1.326 to 3.900), profession regulars (OR=2.262; 95% CI 1.110 to 4.607) and rural place of origin (OR=1.405; 95% CI 1.036 to 1.906).ConclusionThe education programme and place of origin were associated with the intention of nursing students to work in rural areas. Therefore, the recruitment of prospective nurses should consider these factors by considering the local context.

MO376CLINICAL OUTCOMES OF ACUTE KIDNEY INJURY FOLLOWING SNAKE BITE INJURIES

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Weerakit Naweera ◽  
Thapat Wannarong
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Kidney Injury ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Renal Recovery ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional ◽  
Hospital Arrival ◽  
Russell’S Viper

Abstract Background and Aims Snakebite is a common animal bite injury in tropical countries. Acute kidney injury (AKI) is an important complication in snakebite patients. This study aimed to comprehensively investigate the clinical profiles and outcomes of patients following hematotoxin-related snakebite associated with kidney impairment. Method We conducted a hospital-based, cross-sectional study of 238 patients with hematotoxin-related snakebite injuries. Data were retrieved from the King Narai Hospital Registry from October 2014 to August 2020. The prevalence of complications associated with snakebite injuries, including acute kidney injury (AKI) and its severity, was determined. Univariate and Multivariate predictors of AKI diagnosis were evaluated using binary logistic regression analysis Results A total of 238 patients, with 63.4% men, median (IQR) age 49.8 (39-61) years and median duration from injury to a hospital arrival of 1 hour (0.5-2) hours, were injured by Green pit viper (85.7%), Russell’s viper (12.6%) and Malayan pit viper (1.7%). AKI mostly occurred in Russell’s viper group 66.7%. An AKI was reported in thirty (12.6%, 95% CI: 8.7 % - 17.5%) patients, with the severity of 66.7% stage one, 6.7% stage two, 26.6% stage three by KDIGO classifications, and 13.3% requiring hemodialysis. Complete renal recovery was seen in twenty-two patients (73.3%), while partial renal recovery was 23.3%. Other complications included 84.4 % limb cellulitis, 4.6% significantly bleeding, 2.5% hypotension, 25.6% prolonged venous clotting time (VCT), 46.7% prolonged prothrombin time (PT), and 14.3% prolonged partial thromboplastin time (PTT). Of total patients, 60.1% were treated with anti-venom. Mortality was relatively low (0.4%). In multivariable logistic regression analyses, AKI was significantly associated with time to hospital arrival more than 3 hours (p = 0.04), Russell’s viper bitten (p = 0.01), clinical bleeding (p = 0.01), and prolonged PT (p &lt; 0.01). Conclusion The prevalence of AKI in patients bitten by hematotoxin snakes was 12.6%, mostly from Russell’s viper. Factors associated with AKI outcomes were time to hospital arrival more than 3 hours, Russell’s viper bitten, clinical bleeding, and prolonged PT. Besides, one-fourth of AKI patients turned to chronic kidney disease.

scholarly journals Factors affecting the milk production of dairy cattle in northern rural areas of Bangladesh

2015 ◽  
Vol 4 (2) ◽  
pp. 41-45 ◽  
Author(s):  
MR Begum ◽  
M Anaruzzaman ◽  
MSI Khan ◽  
M Yousuf
Keyword(s):  
Body Weight ◽  
Dairy Cattle ◽  
Milk Production ◽  
Rural Areas ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Lactation Period ◽  
Cross Sectional ◽  
Age At First Calving ◽  
Factors Affecting

A cross sectional study was conducted to observe the factors affecting the productive performance of dairy cattle from northern rural areas of Bangladesh during July and September 2013. Data of 105 cows, 85 (80.95%) from local and 20 (19.05%) cows from cross breed, were randomly selected for the study. A binary logistic regression, expressed by odds ratio with 95% confidence interval, was done to determine the association of daily milk production categorized into ? 2 and > 2 liters (L), based on median, with the significant explanatory variables of body weight, age at first calving, lactation period, vitamin use, type of floor and milking person. The result demonstrated that the probability of milk production of >2 L was 6.16, 4.5, 20.65 and 5.7 times higher from the with animal body weight of >140 kg, age at first calving of >36 m, lactation period of >8 m and vitamin use than that of body weight of 140 kg, age at first calving of ?36 m, lactation period of ? 8 m, and not vitamin used respectively. The chance of milk production of > 2 L was 0.25 and 0.22 times lower for mud floor, and owner milking than that of brick floor and gowala (professional milking person) respectively. DOI: http://dx.doi.org/10.3329/ijarit.v4i2.22646 Int. J. Agril. Res. Innov. & Tech. 4 (2): 41-45, December, 2014

scholarly journals A predictive model for early diagnosis of keratoconus

2020 ◽  
Author(s):  
GRACIA CASTRO-LUNA ◽  
ANTONIO PÉREZ-RUEDA
Keyword(s):  
Logistic Regression ◽  
Predictive Model ◽  
Early Stage ◽  
Corneal Thickness ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Diagnostic Model ◽  
Binary Logistic Regression Model ◽  
Cross Sectional

Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore, to avoid possible refractive surgery that could produce ectasias. This study aims to describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus and normal corneas. Additionally to propose a diagnostic model of subclinical keratoconus based in binary logistic regression models Methods: The design was a cross-sectional study. It included 205 eyes from 205 patients distributed in 82 normal corneas, 40 early-stage keratoconus and 83 established keratoconus. The rotary Scheimpflug camera (Pentacam® type) analyzed the topographic, pachymetric and aberrometry variables. It performed a descriptive and bivariate analysis of the recorded data. A diagnostic and predictive model of early-stage keratoconus was calculated with the statistically significant variables Results: Statistically significant differences were observed when comparing normal corneas with early-stage keratoconus/ in variables of the vertical asymmetry to 90º and the central corneal thickness. The binary logistic regression model included the minimal corneal thickness, the anterior coma to 90º and posterior coma to 90º. The model properly diagnosed 92% of cases with a sensitivity of 97.59%, specificity 98.78%, accuracy 98.18% and precision 98.78%Conclusions: The differential diagnosis between normal cases and subclinical keratoconus depends on the mínimum corneal thickness, the anterior coma to 90º and the posterior coma to 90º.

scholarly journals Willingness to Accept COVID-19 Vaccine and Its Determinants among Nigeria Citizens: A Web-based Cross-sectional Study

2021 ◽  
pp. 13-22
Author(s):  
Olanrewaju Davies Eniade ◽  
Abayomi Olarinmoye ◽  
Agofure Otovwe ◽  
Funke E. Akintunde ◽  
Omowumi O. Okedare ◽  
...  
Keyword(s):  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Outcome Variable ◽  
Willingness To Accept ◽  
Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Other Information ◽  
Level Of Significance ◽  
To Receive

Background: The peculiarity in Nigerians’ demographic, socio-economic and cultural pattern necessitated the need to explore potential COVID-19 vaccine acceptance. This study investigated the determinants of willingness to receive COVID-19 vaccine in Nigeria. Methods: An online cross-sectional study among the general population in Nigeria. Data were collected using an electronic questionnaire.  A total of 368 individuals participated in the research. The outcome variable was willingness to accept COVID-19 vaccine coded as “Yes=1 and No=0.”  Basic socio-demographic information of participants and other information related to COVID-19 were obtained. Stata MP 14 was used for the statistical analysis. Descriptive statistics were presented, test of association were carried out using chi square and a binary logistic regression was used to assess the determinants of willingness to accept COVID-19 vaccine. All analyses were performed at 5% level of significance. Results: The mean age of the respondents was 29.4 + 9.65 years.  Majority of the study participants were female (58.9%), Yoruba (74.7%) and dwellers of urban area (68.5%). Also, 85.6% have attained tertiary level of education. Two-fifth (40.5%) of respondent reported their willingness to take the COVID-19 if made available. Majority (69.8%) of those that are willing to take the vaccine would prefer a live attenuated form and 39.6% would prefer the vaccine administered intramuscularly. Age group≥40 years (AOR: 5.20, CI: 1.02- 26.41), currently married (AOR: 2.81, CI: 1.05 – 7.53) and susceptibility to COVID 19 infection (AOR: 2.52, CI: 1.21 – 5.26) were associated with likelihood of willingness to accept COVID-19 vaccine. Conclusion: Despite the fact that majority were at risk of COVID-19 infection, willingness to receive COVID-19 vaccine was low among Nigerians. Level of maturity in terms of age and marriage as well as susceptibility to COVID-19 infection increased the likelihood of accepting COVID-19 infection. In Furtherance, younger ones, unmarried and non-susceptible individual may require more efforts tailored towards enrichment of understanding about the importance of COVID-19 vaccine in other to improve the acceptance of COVID-19 vaccine in Nigeria.

scholarly journals A model of visual limitation in patients with keratoconus

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Antonio Pérez-Rueda ◽  
Gracia Castro-Luna
Keyword(s):  
Visual Acuity ◽  
Logistic Regression ◽  
Operating Characteristic ◽  
Spherical Aberration ◽  
Area Under The Curve ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Corrected Visual Acuity

Abstract This paper aims to calculate a relevance model of visual limitation (V.L.) in keratoconus patients based on refractive and topographic parameters. A cross-sectional study was carried out in Torrecárdenas Hospital, Almería, Spain, between February 2018 and July 2019. It included 250 keratoconus patients. Two groups were created according to a grading system of V.L. based on RETICS (Red Temática de Investigación Cooperativa en Salud) classification: keratoconus patients with no V.L. (best spectacle-corrected visual acuity (BSCVA) ≤ 0.05 logMAR) and keratoconus patients with V.L. (BSCVA > 0.05 logMAR). Correlations and a binary logistic regression were established. V.L. was correlated with maximum curvature (r = 0.649, p < 0.001) and root mean square higher-order aberrations (HOARMS) (r = 0.625, p < 0.001). Binary logistic regression included V.L. as the dependent variable and spherical equivalent, HOARMS, spherical aberration and interaction between the anterior and posterior vertical coma as independent variables. The model was a good fit. Area under the curve (A.U.C.) of receiver operating characteristic (R.O.C.) curve was 0.924, sensitivity 91.90%, specificity 83.60%, accuracy 88.94%; and precision 91.17%. Binary logistic regression model of V.L. is a good fit model to predict the early loss of visual acuity in keratoconus patients.

scholarly journals A predictive model for early diagnosis of keratoconus

2020 ◽  
Author(s):  
GRACIA CASTRO-LUNA ◽  
ANTONIO PÉREZ-RUEDA
Keyword(s):  
Logistic Regression ◽  
Predictive Model ◽  
Corneal Thickness ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Diagnostic Model ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Logistic Regression Models

Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore to avoid possible refractive surgery that could produce ectasias. This study aims to describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus and normal corneas. Additionally to propose a diagnostic model of subclinical keratoconus based in binary logistic regression models Methods: The design was a cross-sectional study. It included 205 eyes from 205 patients distributed in 82 normal corneas, 40 subclinical keratoconus and 83 established keratoconus The rotary Scheimpflug camera (Pentacam® type) analyzed the topographic, pachymetric and aberrometry variables. It performed a descriptive and bivariate analysis of the recorded data. A diagnostic and predictive model of subclinical keratoconus was calculated with the statistically significant variables Results: Statistically significant differences were observed when comparing normal corneas with subclinical keratoconus/ in variables of the vertical asymmetry to 90º and the central corneal thickness. The binary logistic regression model included the minimal corneal thickness, the anterior coma to 90º and posterior coma to 90º. The model properly diagnosed 92% of cases Conclusions: The differential diagnosis between normal cases and subclinical keratoconus depends on the mínimum corneal thickness, the anterior coma to 90º and the posterior coma to 90º.

scholarly journals Awareness of HIV/AIDS among rural youth in India: A community based cross-sectional study

2011 ◽  
Vol 5 (10) ◽  
pp. 711-716 ◽  
Author(s):  
Sudha B Yadav ◽  
Naresh R Makwana ◽  
Bhavin N Vadera ◽  
Kishor M Dhaduk ◽  
Kapil M Gandha
Keyword(s):  
Logistic Regression ◽  
Rural Areas ◽  
Media Exposure ◽  
Cross Sectional Study ◽  
Rural Youth ◽  
Basic Knowledge ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Hiv Aids

Introduction: More than one third of reported cases of HIV/AIDS in India are among youth and 60 percent of these reside in rural areas. Assessment of the awareness of HIV/AIDS in the youth is important for determining the impact of previous and current awareness programs as well as the need for interventions.  This study aimed to assess the knowledge of rural youth regarding HIV/AIDS and to explore the epidemiological determinants of awareness among them. Methodology: A community-based cross-sectional study was conducted among youths aged 15-24 years in rural areas of the Saurashtra region of Gujarat, India. A cluster sampling design was used, surveying 50 subjects from each of 30 clusters. Data was collected through house-to-house visits using a semi-structured questionnaire. Proportions and logistic regression were used for analysis. Results: Out of a total of 1,237 subjects who participated in survey, 60% knew something about HIV. Of those who had heard of HIV, more than 90% subjects knew the modes of transmission and more than 80% were aware of modes of prevention of HIV/AIDS. One fifth of the subjects had misconceptions in relation to HIV/AIDS.  On applying multiple logistic regression, age, education, occupation, and mass media exposure were found to be the major determinants of their knowledge with regard to HIV/AIDS. Conclusions: Basic knowledge of HIV/AIDS is still lacking in two fifths of the rural youth. Literacy and media exposure are factors that determine awareness of HIV among them and can be helpful to raise their knowledge regarding this scourge.

scholarly journals Prevalence and trend of malaria with anemia among under-five children in Jasikan District, Ghana

2020 ◽  
Vol 4 (08) ◽  
pp. 285-291
Author(s):  
William Dormechele ◽  
George Pokoanti Wak ◽  
Francis Bruno Zotor
Keyword(s):  
Rural Areas ◽  
Rainy Season ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Significance Level ◽  
Children Under Five ◽  
Under Five ◽  
Under Five Children ◽  
Strength Of Association

Background: Malaria remains a major killer of children under-five, claiming the life of one child every two minutes globally. Despite the several interventions to reduce malaria and anemia, these diseases remain global public concerns. Aim: This study assessed the prevalence and trend of malaria and anemia in children under-five years from 2012 to 2016. Subjects and methods: We conducted a descriptive cross-sectional study among children under-five with malaria and anemia who received care at the hospital in Jasikan town, Ghana from 2012 to 2016. We computed descriptive statistics to describe the data. STATA version 14 was used to carry out the analyses. Binary logistic regression was used to determine the strength of association at a 5% significance level (P<0.05). Results: Out of 30,082 malaria cases, 835 were with anemia from 2012 to 2016. This study found an overall proportion of malaria with anemia as 28 per 1,000. The year 2014 recorded the highest proportion of 38 per 1,000 malaria cases of malaria with anemia. Overall, the prevalence rate of malaria and anemia cases were found to be 61.5% and 4.4% respectively. Children within 24-35 months’ age group contributed the highest (28.3%) and 0-11 months accounted for the lowest (12.9%) malaria with anemia cases. The majority of malaria with anemia cases 63.6% occurred in the rainy season, between June to July. Conclusion: The proportion of malaria with anemia was high among children under-five and most children having malaria with anemia live in rural areas and during the rainy season. Keywords: Prevalence, Trend, Malaria, Anemia, Under-five, Children, Jasikan, Ghana.

scholarly journals Prevalence and trend of malaria with anemia among under-five children in Jasikan District, Ghana

2020 ◽  
Vol 4 (8) ◽  
pp. 285-291
Author(s):  
William Dormechele ◽  
George Pokoanti Wak ◽  
Francis Zotor
Keyword(s):  
Rural Areas ◽  
Rainy Season ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Significance Level ◽  
Children Under Five ◽  
Under Five ◽  
Under Five Children ◽  
Strength Of Association

Background: Malaria remains a major killer of children under-five, claiming the life of one child every two minutes globally. Despite the several interventions to reduce malaria and anemia, these diseases remain global public concerns. Aim: This study assessed the prevalence and trend of malaria and anemia in children under-five years from 2012 to 2016. Subjects and methods: We conducted a descriptive cross-sectional study among children under-five with malaria and anemia who received care at the hospital in Jasikan town, Ghana from 2012 to 2016. We computed descriptive statistics to describe the data. STATA version 14 was used to carry out the analyses. Binary logistic regression was used to determine the strength of association at a 5% significance level (P<0.05). Results: Out of 30,082 malaria cases, 835 were with anemia from 2012 to 2016. This study found an overall proportion of malaria with anemia as 28 per 1,000. The year 2014 recorded the highest proportion of 38 per 1,000 malaria cases of malaria with anemia. Overall, the prevalence rate of malaria and anemia cases were found to be 61.5% and 4.4% respectively. Children within 24-35 months’ age group contributed the highest (28.3%) and 0-11 months accounted for the lowest (12.9%) malaria with anemia cases. The majority of malaria with anemia cases 63.6% occurred in the rainy season, between June to July. Conclusion: The proportion of malaria with anemia was high among children under-five and most children having malaria with anemia live in rural areas and during the rainy season. Keywords: Prevalence, Trend, Malaria, Anemia, Under-five, Children, Jasikan, Ghana.

scholarly journals Antenatal care use and its determinants among migrant women during the first delivery: a nation-wide cross-sectional study in China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Xue Tang ◽  
Lulu Ding ◽  
Yuejing Feng ◽  
Yi Wang ◽  
Chengchao Zhou
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Multivariate Logistic Regression Model ◽  
Migrant Women ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Primiparous Women

Abstract Background Reasonable use of antenatal care (ANC) services by pregnant women played a crucial role in ensuring maternal and child safety and reducing the risk of complications, disability, and death in mothers and their infants. This study aimed to investigate the ANC use, and to explore the factors associated with ANC use among migrant women during the first delivery in China. Methods This study used the data of National Health and Family Planning Commission of People Republic of China in 2014. A total of 1505 migrant primiparous women were included in our current analysis. Frequencies and proportions were used to describe the data. Chi-square tests and multivariate binary logistic regression models were performed to explore the determinants that affect the number of times migrant women used ANC during their first delivery. Results Of the 1505 participants, 279 (18.54%) women received the ANC less than 5 times, and 1226 (81.46%) women used the ANC at least 5 times during the first delivery. The multivariate logistic regression model showed that migrant primiparous women with college and above education(P < 0.05;OR = 2.57;95%CI = 1.19–5.55), from the households with higher monthly income (P < 0.01;OR = 2.01;95%CI = 1.30–3.13), covered by maternity insurance(P < 0.01;OR = 2.01;95%CI = 1.28–3.18), with maternal health records (P < 0.001;OR = 2.44;95%CI = 1.61–3.69), migrating across county (P < 0.05;OR = 2.57;95%CI = 1.14–5.81), having migration experience before pregnancy(P < 0.05;OR = 1.37;95%CI = 1.03–1.81) were more likely to use ANC for at least five times. Conclusions This study demonstrated that there were still some migrant maternal women (18.54%) who attended the ANC less than 5 times. Targeted policies should be developed to improve the utilization of ANC among migrant pregnant women.

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