Factors That Affect The K4 In Indonesia

DOI

10.2991/ichlas-17.2017.36How to use a DOI?

Keywords

women; antenatal care; K4

Abstract

K4 coverage targets for according to health programs in Indonesia namely of 95% is still difficult to achieve. From various provinces in Indonesia, only 3 provinces that managed to hit the target, namely the provinces of Jakarta, West Java and Riau. The low coverage of K4 in various provinces in Indonesia are influenced by various factors. This research aims to know the various factors that affect the K4 in Indonesia. The design of this research study is cross sectional, with respondents as much 13,955 women aged 15-49 years, which gave birth to the last child in the 5 years prior to the survey. This study uses secondary data, i.e. data from Indonesia Demographic Health Survey (IDHS) in 2012. The data were analyzed using logistic regression analysis. The results showed there were 29.6% of respondents who have children >2, 14.3% of respondents who have birth spacing <3 years, 16.4% of respondents aged <20 years, 10.9 respondents aged >35 years, 60.2% of respondents who have not finished high school and 38% of respondents who live below the poverty line. On bivariate analysis, meaningful relationship is obtained between the all confounding variables with a value of p< 0.25. On multivariate analysis, there is a negative relationship between the intention of pregnancy, the level of economy, the level of education, region of residence, marital status, parity, age, birth spacing and K4 visits in Indonesia. The rate of the economy is the most dominant variables related to the visit of K4. The Government is expected to open up new jobs, to lose Indonesia's poor presentation; and also expected to increase socialization and participation of the poor population to become members of the health insurance.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Kirana Anggraini
AU  - Krisnawati Bantas
AU  - Sandra Fikawati
AU  - Raditya Wratsangka
PY  - 2017/12
DA  - 2017/12
TI  - Factors That Affect The K4 In Indonesia
BT  - Proceedings of the 1st International Integrative Conference on Health, Life and Social Sciences (ICHLaS 2017)
PB  - Atlantis Press
SP  - 56
EP  - 61
SN  - 2468-5739
UR  - https://doi.org/10.2991/ichlas-17.2017.36
DO  - 10.2991/ichlas-17.2017.36
ID  - Anggraini2017/12
ER  -