ArticleHealth information science and systems2018
Factors influencing prospective mother with prenatal qualified doctor care among the reproductive women in Bangladesh.
Article in Health information science and systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Estimation of number of ever born children using zero truncated count model: evidence from Bangladesh Demographic and Health Survey.Health information science and systems · 2019Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maternal and child mortality are the key indicators of health and development of the country. Maternal and child health are interconnected to prenatal care. Consulting a doctor at the prenatal stage will not only ensure mother's and her unborn babies' safety, but also has a great influence to reduce the maternal and infant mortality. In this paper, an attempt has been made to analyze the status of prenatal care provided by the qualified doctor among pregnant mothers in Bangladesh. Data and required information of 8793 reproductive women were collected from the Bangladesh Demographic and Health Survey (BDHS) 2014. Logistic regression model has been used to identify the most significant determinants of the prenatal doctor visits. In this research, it is found that prenatal cares by a qualified doctor during pregnancy depend on several social and demographic characteristics of a woman. It is observed that women staying both urban and rural areas have similar behaviour of caring regarding their pregnancy related complications. Beside this Respondent's age, education, her husband's education and the number of ever born children have significant contribution on prenatal doctor visit. On the other hand, division, religion, husband's desire for children has no effect on it. Overall the model is able to predict 71.65% women into their appropriate group based on these factors.
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Registered trials
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