Factors associated with utilization of antenatal care among rural women in Bangladesh: A community-based cross-sectional study

Nizum, Md Wahidur Rahman; Shaun, Md Mahbubul Alam; Faruk, Md Omar; Shuvo, Md Asaduzzaman; Fayeza, Fahmida; Alam, Md Fakrul; Mali, Sujan Kanti; Rahman, Md. Hafizur; Hawlader, Mohammad Delwer Hossain

doi:10.1016/j.cegh.2023.101262

Cited by 5 publications

(3 citation statements)

References 36 publications

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“…The division plays a significant role in both cases, with women from the Chittagong division having the most significant relationship in receiving antenatal care in both home and Upazila health complexes. According to BDHS 2017–18, the Sylhet division showed the lowest ANC service which was 71% and the Khulna division witnessed the highest rate (91%) [ 27 ]. This study reveals that there are regional variations in receiving antenatal care for both places, which can be attributed to factors such as distance from service centers, transportation issues, availability of healthcare facilities, and quality of services [ 28 ].…”

Section: Findings and Discussionmentioning

confidence: 99%

Socio-economic status and pregnancy complications and their impact on antenatal care services provided at home and Upazila health complex

Alamgir,

Hossain,

Ullah

et al. 2024

Heliyon

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Section: Findings and Discussionmentioning

confidence: 99%

Socio-economic status and pregnancy complications and their impact on antenatal care services provided at home and Upazila health complex

Alamgir,

Hossain,

Ullah

et al. 2024

Heliyon

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“…This research aimed to identify determinants contributing to women's early intention of antenatal care (ANC) services using cox proportional hazard model analysis, given the significant impact of early ANC visits on maternal and child health outcomes. Maternal and child health indicators in Bangladesh is a concern, with early and regular antenatal care (ANC) visits crucial for reducing maternal and neonatal mortality rates 15 , 25 . Despite efforts to improve awareness and accessibility, many women delay their first ANC visit, missing opportunities for timely interventions and health promotion during pregnancy 15 , 26 .…”

Section: Discussionmentioning

confidence: 99%

Survival analysis of early intention of antenatal care among women in Bangladesh

Hossain,

Rahman,

Sadia

et al. 2024

Sci Rep

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This study focuses on the importance of early and regular Antenatal Care (ANC) visits in reducing maternal and child mortality rates in Bangladesh, a country where such health indicators are a concern. The research utilized data from the Bangladesh Demographic and Health Survey (BDHS) conducted in 2017–18 and employed the Cox proportional hazard model to identify factors influencing women’s intention of ANC services. The results revealed that 40.4% of women engaged in at least one ANC activity during the first trimester, which, although higher than in other countries, falls below the global average. Notably, women between the aged of 25 and 29 years took 15% less time for their first ANC visit compared to their younger counterparts, suggesting higher awareness and preparedness in this age group. Education, both for women and their partners, had a significant influence on the intention to visit ANC early. Women in the poor wealth quantile exhibited lower odds of seeking timely ANC, whereas those with a planned pregnancy were more likely to do so. Moreover, access to mass media decreased the timing of ANC visits by 26% compared to women who were not exposed. Moreover, living in rural areas was linked to a 17% delay in the timing of the first ANC visit compared to urban areas. These findings underscore the importance of addressing these determinants to improve the timeliness and accessibility of ANC services, thereby enhancing maternal and child health outcomes in Bangladesh.

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“…The in uences on ANC visits and postpartum care have been the subject of numerous research efforts in Bangladesh (Haque et al, 2022b;Islam and Masud, 2018;Nizum et al, 2023). Mothers' education is viewed as a critical aspect in the prevention and treatment of poor health outcomes as well as the e cient utilization of healthcare services (Smith et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Machine Learning Algorithms for Determining Influential Factors of Antenatal Care Visits in Bangladesh

Nayem,

Hossain,

Aziz

et al. 2023

Preprint

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Antenatal care (ANC) is a crucial part of the ongoing care that a mother receives before and throughout her pregnancy, at the time of delivery, and during the recovery period. This study aimed to explore the influential factors of ANC visits and evaluate the predictive model performance of identifying the determinants of ANC visits in Bangladesh using seven machine learning algorithms. This study is based on the secondary data extracted from the 2017-2018 Bangladesh Demographic and Health Survey (BDHS), which covered a nationally representative sample of 20,250 ever-married women aged 15–49 years. The final data consist of 4,946 mothers who gave birth in the three years preceding the survey. Descriptive and inferential statistical techniques along with machine learning algorithms were used for data analysis. Of the 4,946 women, most were middle-aged and in the age groups of 20-24 years (35.4%) and 25-29 years (26.2%). Receiving a greater number of ANC services was significantly positively correlated with the frequency of ANC visits. Higher wealth indices increase the chance of completing an ANC visit. The random forest (RF) model shows that age, richest, number of children, household size, and mother's primary education level are the top five important predictors of antenatal care (ANC) visits. The quality of ANC services in Bangladesh could be increased by having a better grasp of the identified risk factors and implementing them in short- and long-term initiatives.

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Factors associated with utilization of antenatal care among rural women in Bangladesh: A community-based cross-sectional study

Cited by 5 publications

References 36 publications

Socio-economic status and pregnancy complications and their impact on antenatal care services provided at home and Upazila health complex

Socio-economic status and pregnancy complications and their impact on antenatal care services provided at home and Upazila health complex

Survival analysis of early intention of antenatal care among women in Bangladesh

Performance Evaluation of Machine Learning Algorithms for Determining Influential Factors of Antenatal Care Visits in Bangladesh

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