Microeconometric Analysis on Determinants of Antenatal Care in Bangladesh

Ali, Manhal

doi:10.1177/0019466220120307

Cited by 5 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many studies have assessed the determinants of prenatal care attendance in Bangladesh, particularly focussing on the WHO guideline of taking at least four ANC visits [6][7][8][9], but only a few studies have assessed the determinants of the number of ANC visits in general [10][11][12][13]. It has been shown that there may be two separate processes that generate decisions regarding the use and frequency of prenatal care use [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…In such situations, zero-inflated and hurdle regression (ZIR and HR) models can be applied [18]. These so-called two-part models have been used in a limited number of studies [10,11]. In addition to the problems of overdispersion and zero-inflation in the ANC data, correlation among measurements (a common phenomenon in longitudinal, repeated surveys, and clustered data) known as intra-cluster correlation (ICC) needs to be considered [19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling the number of antenatal care visits in Bangladesh to determine the risk factors for reduced antenatal care attendance

Bhowmik¹,

Das²,

Islam³

2020

PLoS ONE

View full text Add to dashboard Cite

The existence of excess zeros in the distribution of antenatal care (ANC) visits in Bangladesh raises the research question of whether there are two separate generating processes in taking ANC and the frequency of ANC. Thus the main objective of this study is to identify a proper count regression model for the number of ANC visits by pregnant women in Bangladesh covering the issues of overdispersion, zero-inflation, and intra-cluster correlation with an additional objective of determining risk factors for ANC use and its frequency. The data have been extracted from the nationally representative 2014 Bangladesh Demographic and Health Survey, where 22% of the total 4493 women did not take any ANC during pregnancy. Since these zero ANC visits can be either structural or sampling zeros, two-part zero-inflated and hurdle regression models are investigated along with the standard onepart count regression models. Correlation among response values has been accounted for by incorporating cluster-specific random effects in the models. The hurdle negative binomial regression model with cluster-specific random intercepts in both the zero and the count part is found to be the best model according to various diagnostic tools including likelihood ratio and uniformity tests. The results show that women who have poor education, live in poor households, have less access to mass media, or belong to the Sylhet and Chittagong regions are less likely to use ANC and also have fewer ANC visits. Additionally, women who live in rural areas, depend on family members' decisions to take health care, and have unintended pregnancies had fewer ANC visits. The findings recommend taking both cluster-specific random effects and overdispersion and zero-inflation into account in modelling the ANC data of Bangladesh. Moreover, safe motherhood programmes still need to pay particular attention to disadvantaged and vulnerable subgroups of women.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling the number of antenatal care visits in Bangladesh to determine the risk factors for reduced antenatal care attendance

Bhowmik¹,

Das²,

Islam³

2020

PLoS ONE

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

“…For this kind of problem, count data regression models, like the ‘Poisson model’ or ‘negative binomial model’, are appropriate methods for analysis. Logically, count data regression models are adopted when we encounter a skewed distribution for the response variable (Ali, 2012; Deb & Trivedi, 1997; Winkelmann, 2008). This feature of data sometimes demonstrates zero observations for the response variable, because substantial numbers of pregnant women make no ANC visit throughout their pregnancy.…”

Section: Introductionmentioning

confidence: 99%

“…Adequate facilities of maternal healthcare services and their proper utilisation at the time of pregnancy may considerably improve the health conditions of both mothers and children (Ali, 2012). Inadequacy of antenatal care (ANC) utilisation leads to premature delivery, which causes a catastrophic rise in infant and maternal mortality and also many postnatal complications (Ali, 2012;Habibov, 2011). A robust direct association between ANC visits and maternal mortality rate (MMR) and infant mortality rate (IMR) has been well evidenced in empirical research concerning children's and mothers' health (Kiross et al, 2021;Louangpradith et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determinants of Antenatal Care Utilisation in India: A Count Data Modelling Approach

Yadav

NAG

Jena

et al. 2021

Journal of Development Policy and Practice

View full text Add to dashboard Cite

The article explores the micro-level factors (social, economic and demographic) that determine the utilisation of antenatal care (ANC) services in India using the Bayesian count data regression model. The primary purpose is to rectify the methodological loopholes in the existing literature using a count data regression model that overcomes the problems of overdispersion in the data. Using data from ‘National Family Health Survey’ (NFHS) data on women of reproductive age (15–49 years), we find that about 33% of pregnant women have not availed ANC during their pregnancy. The factors such as women’s education and partner/husband’s education, children’s birth order, household income, availability of basic amenities, like clean drinking water, media exposure, holding of bank accounts and use of mobile phones are statistically significant and positively affect ANC utilisation. Therefore, the study calls for prioritisation of and special attention to uneducated or less educated rural pregnant women. They should be incentivised adequately to utilise ANC services, which may drastically reduce inadequacy in ANC utilisation and improve mothers’ health before and after delivery. Awareness camps should be organised in every village in rural areas about pregnancy-related complications and the benefits of ANC check-ups. Massive infrastructure in the form of primary health centres or community health centres is the need of the hour in rural India.

show abstract

Determining Risk Factors of Antenatal Care Attendance and its Frequency in Bangladesh: An Application of Count Regression Analysis

Bhowmik

Das

Islam

2020

Statistics for Data Science and Policy Analysis

View full text Add to dashboard Cite

Microeconometric Analysis on Determinants of Antenatal Care in Bangladesh

Cited by 5 publications

References 0 publications

Modelling the number of antenatal care visits in Bangladesh to determine the risk factors for reduced antenatal care attendance

Modelling the number of antenatal care visits in Bangladesh to determine the risk factors for reduced antenatal care attendance

Determinants of Antenatal Care Utilisation in India: A Count Data Modelling Approach

Determining Risk Factors of Antenatal Care Attendance and its Frequency in Bangladesh: An Application of Count Regression Analysis

Contact Info

Product

Resources

About