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 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 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.

Factors Affecting the Utilization of Antenatal Care Visit in Nepal

Patan Pragya ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 113-121
Author(s):  
Renuka Kumar Karki
Keyword(s):  
Antenatal Care ◽  
Care Service ◽  
Health Care Service ◽  
Pregnancy Risk ◽  
Factors Affecting ◽  
Care Services ◽  
Dependent Variables ◽  
Health Care Service Utilization ◽  
The Government ◽  
Socio Economic Factors

The antenatal care is an entry point for maternal and child health care service utilization through which pregnancy risk can be detected and managed and contributes to reducing both the maternal and neonatal mortality. This study is an attempt to identify the factors affecting on the utilization of antenatal care in Nepal. It is based on data of Nepal Demographic and Health Survey (2016) that covered 3,998 currently married women, aged 15-49 years who had a live birth in the 5 years preceding the survey. In this study, ANC visit is dependent variables is defined by women who attend ANC as 4 or more visits and the women who attend ANC as less than 4 times visits. Information on socio-demography characteristics and the utilization of antenatal care (ANC) visits are collected. Findings of this study show that different demographic, socio-economic factors are responsible for the utilization of antenatal care services in Nepal. Despite the need and the efforts made by the government of Nepal through different policies to improve access to antenatal care service, complete ANC utilization has been inadequate.

Factors affecting the utilization of antenatal care services among women in Guinea: a population-based study

2020 ◽  
Author(s):  
Gebretsadik Shibre ◽  
Betregiorgis Zegeye ◽  
Dina Idriss-Wheeler ◽  
Sanni Yaya
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Maternal Education ◽  
Economic Status ◽  
Media Exposure ◽  
Population Based ◽  
Multivariate Logistic Regression ◽  
Factors Affecting ◽  
Care Services ◽  
Skilled Anc

Abstract Introduction Evidence suggests that a better understanding of determinants of antenatal care (ANC) utilization is crucial to reducing maternal and child deaths. Little is known about the utilization of ANC services in Guinea. Objective The aim of this study was to explore factors determining utilization of skilled ANC in Guinea. Methods This study focused on a sample of 7812 ever married women. Using multivariate logistic regression, factors associated with the utilization of ANC were identified. The output of the multivariate logistic regression was presented using adjusted odds ratio and the corresponding 95% confidence interval (CI). Results Several factors had significant association with utilization of skilled ANC service in Guinea: having decision-making power (2.21, 95% CI: 1.63, 3.00), employment status (1.86, 95% CI: 1.39, 2.48), media exposure (1.60, 95% CI: 1.26, 2.02), maternal education (2.68, 95% CI: 1.36, 5.28), husband/partner education status (1.66, 95% CI: 1.08, 2.55), household economic status (2.19, 95% CI: 1.40, 3.44), place of residence (0.29, 95% CI: 0.16, 0.50) and ethnicity (0.40, 95% CI: 0.23, 0.69). Conclusions These findings suggest a variety of socio-demographic and economic factors as well as media exposure are associated with women’s use of ANC. Policymakers should implement appropriate measures to address the existing variations and gaps in ANC services utilization among different subgroups of women in Guinea.

scholarly journals Piecing the evidences: Barriers to utilization of Antenatal Care Services by Currently Married Women in Rural Uttarakhand- A community-based study

2020 ◽  
Vol 32 (1) ◽  
pp. 114-119
Author(s):  
Ruchi Juyal ◽  
Jayanti Semwal ◽  
Sunil Dutt Kandpal ◽  
Ashok Kumar Srivastava ◽  
Deep Shikha ◽  
...  
Keyword(s):  
Antenatal Care ◽  
Rural Areas ◽  
Economic Status ◽  
Married Women ◽  
Chi Square ◽  
Services Utilization ◽  
Care Services ◽  
Chi Square Test ◽  
Area Of Concern

Background: High maternal mortality has always been an area of concern in developing countries. Availability and availment of adequate antenatal care play a significant role in reduction of maternal deaths. Aim & Objective: To know the extent of antenatal care (ANC) services utilization by the currently married women of rural Uttarakhand during their last pregnancy, to find the barriers for utilization of ANC services and correlate the socio-demographic variables with the non-utilization of ANC services. Methods and Material: This correlational study was conducted in rural areas of 3 randomly selected districts in Uttarakhand. Multistage stratified and simple random samplings were used for area selection and PPS technique was used to recruit the participants. Overall, 637 currently married women (CMW) who delivered in last 5 years prior to survey, were interviewed by trained social workers. Chi-square test was used to ascertain association between variables and regression analysis was done to adjust for confounding associations. Results: Overall 496 (77.9%) women availed one or more ANC services during their last pregnancy, but the complete package was availed by only 210 (33%) of the CMW. Majority of the women who did not avail any ANC services were older, illiterate, labourer, spouse of labourer/ unemployed person and belonged to lower socio-economic status. Unawareness was the most commonly cited reason for not availing ANC services followed by financial issues and unfelt need. Conclusions: Women in Uttarakhand are pliant to ANC services, but there is a need to create demand for it by increasing awareness and improving the quality of ANC services.

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.

Patterns, determinants, and outcomes of antenatal care services utilization among rural and urban women in north-western Nigeria: A comparative analysis

2021 ◽  
Vol 26 (3) ◽  
pp. 147
Author(s):  
VictoriaNanben Omole ◽  
SamuelAmos Bayero ◽  
MohammedJimoh Ibrahim ◽  
NafisatOhunene Usman ◽  
Onyemocho Audu ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Antenatal Care ◽  
Urban Women ◽  
Services Utilization ◽  
Care Services ◽  
Rural And Urban ◽  
North Western
Sign in / Sign up

Export Citation Format

Share Document