Abstract
Perinatal mortality is a profound issue in maternal and child health due to its close relation with the maternal condition. There exist Millennium Development Goals (MDGs) which are to be achieved by 2015. These are coupled with a continuing need for comprehensively monitoring and identifying factors associated with perinatal mortality, which is a primary concern for developing countries inclusive of Indonesia. Previous and on-going health programs could have brought about strategic interventions but as different attributes can emerge due to epidemiological transition, and given the fact that associated factors may remain persistent, forward thinking strategies in public health are forever in need of renewal. Results from our research show that educational variables, poor awareness towards proper antenatal care visits and weak services at the front-line of healthcare delivery (community outreach) worsen the condition of childbearing women, raising the question of biological risk factors in line with socio-economic variables.
Highlights
Characteristics GenderMale Female Birth size Smaller Survivors n (%) 2838 (17.2) Deaths n (%) 117 (43.3)19Jekel, James F., David L
Most of the newborn deaths carried a larger proportion of biological risk factors such as small birth size (43.3%), young maternal age (48.2%), short birth interval (49.6%), multiparity (65%), adverse signs during pregnancy (50%) and childbirth (54.8%)
This is the first study, which identified factors associated with perinatal mortality in the country by employing a retrospective approach and using the latest population data of the 2007 Indonesia Demographic Health Survey (IDHS)
Summary
The 2007 IDHS used multiple-stage sampling stratified by urban (two stages) and rural areas (three stages) in all 33 Indonesian provinces, both in urban and rural settings. The Primary Sampling Unit was Census Block (CB). Systematic sampling was employed to select CBs in urban areas while in rural areas sampling was conducted at the second stage following the selection of sub-districts with probability proportional to the number of households. 25 households were randomly selected from the household listing in each cluster. There were four types of questionnaires used in the IDHS 2007.In this study we used the Women’s questionnaire. We analyzed birth data reported from a nationally representative sample of ever-married women aged 15 to 49 years old, who were identified from the selected households. The details of the sampling procedures and questionnaires can be found elsewhere. The details of the sampling procedures and questionnaires can be found elsewhere. 8
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