scholarly journals Demographic and Socio-economic Factors Affecting on Health Facility Delivery in Nepal

2017 ◽  
Vol 25 (1-2) ◽  
pp. 24-35
Author(s):  
Sunil Kumar Acharya
Keyword(s):  
Health Facility ◽  
Economic Status ◽  
Facility Delivery ◽  
Economic Factors ◽  
Health Facility Delivery ◽  
Data Set ◽  
Factors Affecting ◽  
New Era ◽  
Analysis Technique ◽  
The Government

In Nepal, health facility delivery has improved since the 1990s, but child health delivery facility is still low. In 2001 about 9 percent of the births was delivered at a health facility (MoH, New ERA, and ORC Macro, 2002) which increased to 35 percent in 2011 (MOHP, New ERA, and ICF International Inc, 2012) and further increased to 57 percent in 2016 (MoH, New ERA and ICF, various 2017). This is a rapid increase in health facility delivery since 1996 but still nearly one-half of delivery take place at home. Research in developing countries shows that demographic, social and economic factors influence the utilization of health facility for delivery of births. This paper examines the likelihood of health facility delivery in relation to women’s demographic, social and economic status in Nepal. The 2011 Nepal Demographic and Health Survey (NDHS) data set has been utilized by applying bivariate logistics regression analysis technique to examine the effects of these variables in health facility delivery in Nepal. The analysis findings show large variations and gaps on delivery care based on demographic, social and economic status of women. Against this finding, the study concludes that there is a need for the implementation of appropriate policy and program measures by the government and other agencies to address the existing variations and gaps in utilization of health facility for delivery of births among different sub-groups of women in Nepal. Further research studies focusing on the existing barriers in health facility delivery need to be conducted in Nepal especially among women who are disadvantaged and marginalized.

scholarly journals Demographic and socio-economic factors affecting birth preparation and complication readiness (BPCR) practices in Nepal

2018 ◽  
Vol 18 (17) ◽  
pp. 23-32
Author(s):  
Sunil Kumar Acharya
Keyword(s):  
Economic Status ◽  
Economic Factors ◽  
Data Set ◽  
Complication Readiness ◽  
Factors Affecting ◽  
Logistics Regression ◽  
Analysis Technique ◽  
The Government ◽  
Status Of Women ◽  
Socio Economic Factors

BPCR practices by women in Nepal are still low. Still a relatively high percentage of women do not make BPCR to its fullest extent. Researches in developing countries show that various demographic, social and economic factors influence the BPCR practices by pregnant women. This paper examines the likelihood of BPCR practices based on women’s demographic, social and economic status in Nepal. NDHS 2011 data set has been utilized by applying bivariate logistics regression analysis technique to examine the effects of these variables on BPCR practices in Nepal. The analysis result shows high variations and gaps in BPCR practice based on demographic, social and economic status of women. Against this finding the study recommends implementation of appropriate policy and program measures by the government and other agencies to address the existing variations and gaps in BPCR practices among subgroups of women in Nepal. Further research studies focusing on the existing barriers on BPCR practice need to be conducted in Nepal especially among the women who are disadvantaged and marginalized.

scholarly journals Demographic and Socio-economic Factors Affecting Antenatal Care Services Utilization in Nepal

2018 ◽  
Vol 24 (1-2) ◽  
pp. 71-87
Author(s):  
Sunil Kumar Acharya
Keyword(s):  
Antenatal Care ◽  
Pregnant Women ◽  
Economic Status ◽  
Economic Factors ◽  
Data Set ◽  
Factors Affecting ◽  
Services Utilization ◽  
Care Services ◽  
Seeking Behavior ◽  
The Government

In Nepal, Antenatal care (ANC) services seeking behavior has improved since the 1990s. More pregnant women are seeking the services now than ever. Still a relatively high percentage does not seek even a onetime ANC care and the percentage of women who seek 4 or more ANC care from a skilled service provider is still low. Research in developing countries shows that various demographic, social and economic factors influence the utilization of ANC services and the number of times the care is sought by pregnant women. This paper examines the likelihood of utilization of ANC services 4 or more times in relation to women’s demographic, social and economic status in Nepal. The 2011 Nepal Demographic and Health Survey (NDHS) data set has been utilized by applying bivariate logistics regression analysis technique to examine the effects of these variables in 4 or more ANC use in Nepal. The analysis findings show large variations and gaps in the utilization of ANC care based on demographic, social and economic status of women. Against this finding, the study recommends implementation of appropriate policy and program measures by the government and other agencies to address the existing variations and gaps in ANC services utilization among different sub-groups of women in Nepal. Further research studies focusing on the existing barriers in ANC services utilization need to be conducted in Nepal especially among the women who are disadvantaged and marginalized.  The Journal of Development and Administrative Studies (JODAS)Vol. 24 (1-2), pp. 71-87

scholarly journals Economic Factors Affecting Retention of HIV Patient on Treatment at Wuse General Hospital, Abuja, Nigeria

2021 ◽  
Vol 9 (2) ◽  
pp. 234-243
Author(s):  
Uba Sabo Ado
Keyword(s):  
General Hospital ◽  
Health Facility ◽  
Employment Status ◽  
Economic Status ◽  
Retention In Care ◽  
Transport Cost ◽  
Economic Factors ◽  
Hiv Patients ◽  
Factors Affecting ◽  
Cost Of Transportation

The Economic Barriers To The Retention Of HIV Patient On Treatment Is A Challenge To Optimal Viral Suppression. This Study Examined Economic Factors Related To Retention Such As Employment Status, Food Insecurity And Cost Of Transportation To Health Facility That May Influence Retention At Wuse General Hospital, Abuja. A Retrospective Cohort Study Design Was Used To Access Economic Factors That Influence The Retention Of HIV Patients On Treatment. A Total Of 240 Clients Were Recruited, And A Pre-Tested Interviewer-Administered Semi-Structured Questionnaire Was Used For Data Collection. Data Were Entered Into Stata/MP 15.0 And Then Exported Into SPSS Version 23.0 For Statistical Analysis. Of The 240 Respondents Interviewed. The Findings Revealed That There Is An Association Between Socio-Demographic And Employment Status And Retention In Care. The Results Show That Younger Ages (20-49), Being Males (64.1%) And Unemployed (72.3%), Are More Likely To Be Associated With Retention (P<0.047). The Association Between Socio-Economic Characteristics Of Respondents And Cost Of Travelling To Facility (P=0.016) And Rural Of Place Residence (P=0.000) Was Statistically Significant, Respectively. This Study Also Reveals That The Cost Of Transportation Less Than N200 Has Significant Relationships With Retention In At The Study Site (P=0.016). To Address The Challenges Related To Travel Distance To Health Facility And High Transport Cost, Patients Should Be Continually Encouraged To Access Treatment At Their Nearest Clinic Of Their Choice. Linking Unemployed HIV Patients To Economic Empowerment Programmes Will Help Improve Their Economic Status.

scholarly journals Higher rates of early initiation of breastfeeding associated with health facility delivery in Nepal

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
D Dharel ◽  
A Bhattarai ◽  
Y R Paudel ◽  
P Acharya ◽  
K Acharya
Keyword(s):  
Health Facility ◽  
Newborn Care ◽  
Facility Delivery ◽  
Early Initiation ◽  
Health Facility Delivery ◽  
Essential Newborn Care ◽  
Place Of Delivery ◽  
Early Initiation Of Breastfeeding ◽  
Nationally Representative ◽  
Initiation Of Breastfeeding

Abstract Background Initiation of breastfeeding within one hour from birth is one of the five key essential newborn care messages, implemented along with birth preparedness package since 2008. This study aimed to determine the trend of early initiation of breastfeeding (EIBF) and to assess the effect of health facility delivery on EIBF in Nepal. Methods We analyzed the data from the last four nationally representative Nepal Demographic and Health Surveys (NDHS) conducted in 2001,2006,2011 and 2016. Data on the early initiation of breastfeeding was obtained from the mothers of infants born within 24 months prior to the survey. The explanatory variable was the place of delivery, dichotomized as either the health facility, or home delivery. Survey year had a significant interaction with the place of delivery. Multivariable logistic regression was conducted separately on pooled samples before (NDHS 2001 and 2006) and after (NDHS 2011 and 2016) the program implementation. Adjusted odds ratio (AOR) with 95% confidence interval (CI) for EIBF was calculated after adjusting for predetermined covariates. Results The rate of EIBF increased by 26.5% points (from 32.8% in 2001 to 59.3% in 2016) among infants delivered in a health facility, compared to an increase by 17.1% points (from 29.9% to 47.0%) among home born infants. EIBF increased by 32.5% points before, compared to 49.7% points after BPP. Delivery in a health facility was associated with a higher odd of EIBF in later years (AOR2.3, 95% CI 2.0,2.8), but not in earlier years (AOR1.3, 95% CI 0.9,2.0). Delivery by caesarean section, first-born infant, and lack of maternal education were associated with a lower rate of EIBF in both periods. Conclusions Higher EIBF was associated with health facility delivery in Nepal, only after programmatic emphasis on essential newborn care messages. This implies the need for explicit focus on EIBF at birth, particularly when mother is less educated, primiparous or undergoing operative delivery. Key messages The rate of initiation of breastfeeding within an hour from birth is increasing in Nepal, with higher rates in health facility delivery, as shown by the recent four nationally representative surveys. Programmatic focus on essential newborn care messages may have contributed to significant association of higher rates of early initiation of breastfeeding when delivered in health facility.

An Experimental Study of Spammer Detection on Chinese Microblogs

2020 ◽  
Vol 30 (11n12) ◽  
pp. 1759-1777
Author(s):  
Jialing Liang ◽  
Peiquan Jin ◽  
Lin Mu ◽  
Jie Zhao
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
User Behavior ◽  
Real Data ◽  
User Profile ◽  
Data Set ◽  
Sina Weibo ◽  
Factors Affecting ◽  
The Government ◽  
Hot Event

With the development of Web 2.0, social media such as Twitter and Sina Weibo have become an essential platform for disseminating hot events. Simultaneously, due to the free policy of microblogging services, users can post user-generated content freely on microblogging platforms. Accordingly, more and more hot events on microblogging platforms have been labeled as spammers. Spammers will not only hurt the healthy development of social media but also introduce many economic and social problems. Therefore, the government and enterprises must distinguish whether a hot event on microblogging platforms is a spammer or is a naturally-developing event. In this paper, we focus on the hot event list on Sina Weibo and collect the relevant microblogs of each hot event to study the detecting methods of spammers. Notably, we develop an integral feature set consisting of user profile, user behavior, and user relationships to reflect various factors affecting the detection of spammers. Then, we employ typical machine learning methods to conduct extensive experiments on detecting spammers. We use a real data set crawled from the most prominent Chinese microblogging platform, Sina Weibo, and evaluate the performance of 10 machine learning models with five sampling methods. The results in terms of various metrics show that the Random Forest model and the over-sampling method achieve the best accuracy in detecting spammers and non-spammers.

scholarly journals Factors Affecting the Socio-Economic Status of Households in Southern Punjab

2020 ◽  
Vol 3 (2) ◽  
pp. 315-331
Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq
Keyword(s):  
Economic Development ◽  
Economic Status ◽  
Household Head ◽  
External Shocks ◽  
Factors Affecting ◽  
Poor Countries ◽  
Socio Economic Status ◽  
Level Data ◽  
Physical Assets ◽  
The Government

The Households having low socio-economic status possess less resource in term of wealth and income to resist against any kind of external shocks. Apart from heath shocks (physical and mental disabilities) there are numerous other factors that force them to follow subsistence life style having low per capita income. A primary level data has been collected to examine the socio economic status of households in Southern Punjab for the year 2019.The findings show that household size, occupation, dependency ratio, mental disability and physical disability are negatively affecting economic development across the region. However, age, education of the household head, own house, spouse ‘s participation, remittances, number of earners in the household and value of physical assets are increasing economic development in Southern Punjab. Developing strategies, adequate planning and their timely implementation is very crucial for the government to pursue the process of economic growth and development of the poor countries like Pakistan.

scholarly journals Maternal healthcare services use in Mwanza Region, Tanzania: A cross-sectional baseline survey

2019 ◽  
Author(s):  
James Orwa ◽  
Michaela Mantel ◽  
Micheal Mugerwa ◽  
Sharon Brownie ◽  
Eunice Siaity Pallangyo ◽  
...  
Keyword(s):  
Antenatal Care ◽  
Health Facility ◽  
Healthcare Services ◽  
Facility Delivery ◽  
Postpartum Care ◽  
Reproductive Age ◽  
Antenatal Visit ◽  
Health Facility Delivery ◽  
Maternal Healthcare ◽  
Cross Sectional

Abstract Background: Improving maternal health by reducing maternal mortality/morbidity relates to Goal 3 of the Sustainable Development Goals. Achieving this goal is supported by antenatal care (ANC), health facility delivery, and postpartum care. This study aimed to understand levels of use and correlates of uptake of maternal healthcare services among women of reproductive age (15–49 years) in Mwanza Region, Tanzania. Methods: A cross-sectional multi-stage sampling household survey was conducted to obtain data from 1476 households in six districts of Mwanza Region. Data for the 409 women who delivered in the 2 years before the survey were analyzed for three outcomes: four or more ANC visits (ANC4+), health facility delivery, and postpartum visits. Factors associated with the three outcomes were determined using generalized estimating equations to account for clustering at the district level while adjusting for all variables. Results: Of the 409 eligible women, 58.2% attended ANC4+, 76.8% delivered in a health facility, and 43.5% attended a postpartum clinic. Women from peri-urban, island, and rural regions were less likely to have completed ANC4+ or health facility delivery compared with urban women. Education and early first antenatal visit were associated with ANC4+ and health facility delivery. Mothers from peri-urban areas and those who with health facility delivery were more likely to attend postpartum check-ups. Conclusion: Use of ANC services in early pregnancy influences the number of ANC visits, leading to higher uptake of ANC4+ and health facility delivery. Postpartum check-ups for mothers and newborns are associated with health facility delivery. Encouraging early initiation of ANC visits may increase the uptake of maternal healthcare services. Keywords: Antenatal care, health facility delivery, postpartum care, Mwanza, Tanzania

scholarly journals Determinants of Health Facility Delivery in Northwest Ethiopia: A Community-Based Case-Control Study

2021 ◽  
Vol Volume 14 ◽  
pp. 993-1001
Author(s):  
Tadesse Guadu Delele ◽  
Gashaw Andargie Biks ◽  
Solomon Mekonnen Abebe ◽  
Zemene Tigabu Kebede
Keyword(s):  
Health Facility ◽  
Case Control Study ◽  
Case Control ◽  
Northwest Ethiopia ◽  
Facility Delivery ◽  
Determinants Of Health ◽  
Health Facility Delivery ◽  
Community Based ◽  
Control Study

scholarly journals Analysis on Present Mathematical Model for Predicting the Crop Production

2020 ◽  
Vol 9 (12) ◽  
pp. 168-170
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Real World ◽  
Crop Production ◽  
Ghg Emissions ◽  
Data Set ◽  
Factors Affecting ◽  
The Government ◽  
The Mathematical Model ◽  
Government Website

India is a worldwide agriculture business powerhouse. Future of agriculture-based products depends on the crop production. A mathematical model might be characterized as a lot of equations that speak to the conduct of a framework. By using mathematical model in agriculture field, we can predict the production of crop in particular area. There are various factors affecting crops such as Rainfall, GHG Emissions, Temperature, Urbanization, climate, humidity etc. A mathematical model is a simplified representation of a real-world system. It forms the system using mathematical principles in the form of a condition or a set of conditions. Suppose we need to increase the crop production, at that time the mathematical model plays a major role and our work can be easier, more significant by using the mathematical model. Through the mathematical model we predict the crop production in upcoming years. .AI, ML, IOT play a major role to predict the future of agriculture, but without mathematical models it is not possible to predict crop production accurately. To solve the real-world agriculture problem, mathematical models play a major role for accurate results. Correlation Analysis, Multiple Regression analysis and fuzzy logic simulation standards have been utilized for building a grain production benefit depending model from crop production. Prediction of crop is beneficiary to the farmer to analyze the crop management. By using the present agriculture data set which is available on the government website, we can build a mathematical model.

Sign in / Sign up

Export Citation Format

Share Document