Factors That Affect The K4 In Indonesia
- Kirana Anggraini, Krisnawati Bantas, Sandra Fikawati, Raditya Wratsangka
- Corresponding Author
- Kirana Anggraini
Available Online December 2017.
- https://doi.org/10.2991/ichlas-17.2017.36How to use a DOI?
- women; antenatal care; K4
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 1st International Integrative Conference on Health, Life and Social Sciences (ICHLaS 2017) PB - Atlantis Press SN - 2468-5739 UR - https://doi.org/10.2991/ichlas-17.2017.36 DO - https://doi.org/10.2991/ichlas-17.2017.36 ID - Anggraini2017/12 ER -