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  1. Article ; Online: The level of utilization and associated factors of WHO recommended antenatal care visits in South Asian countries.

    Al-Zubayer, Md Akib / Shanto, Hasibul Hasan / Kundu, Subarna / Sarder, Md Alamgir / Ahammed, Benojir

    Dialogues in health

    2024  Volume 4, Page(s) 100175

    Abstract: Background: Antenatal care can play an important role in reducing the death of both mothers and children. This study was designed to find out the determinants of world health organization recommended antenatal care visits in six South Asian countries to ...

    Abstract Background: Antenatal care can play an important role in reducing the death of both mothers and children. This study was designed to find out the determinants of world health organization recommended antenatal care visits in six South Asian countries to achieve the targets for Sustainable Development Goal.
    Methods: This study used recent demographic and health survey data from six South Asian countries such as Afghanistan (2015), Bangladesh (2017-18), India (2015-16), Maldives (2016-17), Nepal (2016), and Pakistan (2047-18). Descriptive statistics were calculated for the distribution and prevalence of antenatal care visits. Bivariate and multivariable logistic regressions were used to investigate the influencing factors of antenatal care visits.
    Results: 71,862 women aged 15 to 49 years were included in this study, and 46.64% (95% Confidence Interval = 45.59 - 47.69%) had world health organization recommended antenatal care visits. In the pooled data, urban women (AOR ([Adjusted Odds Ratio]=1.48; 95% CI [Confidence Interval]=1.33-1.66), richest family (AOR=1.48; 95% CI=1.25-1.76), women's higher education (AOR=3.76; 95% CI=3.33-4.25), women's partner/husband's higher education (AOR=1.69; 95% CI=1.50-1.92), 35-49 years (AOR=1.25, 95% CI=1.11-1.42), women's age at first birth >25 years (AOR=1.51, 95% CI=1.36-1.68) and fully media exposure (AOR=2.11; 95% CI=1.74-2.56) were significantly positively associated with WHO recommended antenatal care visits. Whereas, working women (AOR=0.82; 95% CI=0.76-0.88), healthcare decision maker by their husband/others (AOR=0.71, 95% CI=0.60-0.84), ≥7 children (AOR=0.59; 95% CI=0.50-0.69), and ≥7 family members (AOR=0.82; 95% CI=0.73-0.93) had significant negative effect on antenatal care visits. In country specific analysis, overall, media exposure, secondary and above education of women, ≥25 of years age at first birth, and <4 living children were the key factors of antenatal care visits.
    Conclusions: This study reveals an overall scenario of the WHO-recommended antenatal care visit in South Asian countries, and significant factors related to ANC that we can concentrate onto improve accessibility to healthcare services and promote education and media exposure, especially for rural and less educated women, to increase the prevalence of WHO-recommended antenatal visits in South Asian countries In addition, evidence from this study can be used to assist the policymakers in planning and taking proper steps to increase WHO-recommended antenatal care visits by focusing on the related factors in South Asian countries.
    Language English
    Publishing date 2024-02-28
    Publishing country United States
    Document type Journal Article
    ISSN 2772-6533
    ISSN (online) 2772-6533
    DOI 10.1016/j.dialog.2024.100175
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Machine learning models for prediction of double and triple burdens of non-communicable diseases in Bangladesh.

    Al-Zubayer, Md Akib / Alam, Khorshed / Shanto, Hasibul Hasan / Maniruzzaman, Md / Majumder, Uttam Kumar / Ahammed, Benojir

    Journal of biosocial science

    2024  Volume 56, Issue 3, Page(s) 426–444

    Abstract: Increasing prevalence of non-communicable diseases (NCDs) has become the leading cause of death and disability in Bangladesh. Therefore, this study aimed to measure the prevalence of and risk factors for double and triple burden of NCDs (DBNCDs and ... ...

    Abstract Increasing prevalence of non-communicable diseases (NCDs) has become the leading cause of death and disability in Bangladesh. Therefore, this study aimed to measure the prevalence of and risk factors for double and triple burden of NCDs (DBNCDs and TBNCDs), considering diabetes, hypertension, and overweight and obesity as well as establish a machine learning approach for predicting DBNCDs and TBNCDs. A total of 12,151 respondents from the 2017 to 2018 Bangladesh Demographic and Health Survey were included in this analysis, where 10%, 27.4%, and 24.3% of respondents had diabetes, hypertension, and overweight and obesity, respectively. Chi-square test and multilevel logistic regression (LR) analysis were applied to select factors associated with DBNCDs and TBNCDs. Furthermore, six classifiers including decision tree (DT), LR, naïve Bayes (NB), k-nearest neighbour (KNN), random forest (RF), and extreme gradient boosting (XGBoost) with three cross-validation protocols (K2, K5, and K10) were adopted to predict the status of DBNCDs and TBNCDs. The classification accuracy (ACC) and area under the curve (AUC) were computed for each protocol and repeated 10 times to make them more robust, and then the average ACC and AUC were computed. The prevalence of DBNCDs and TBNCDs was 14.3% and 2.3%, respectively. The findings of this study revealed that DBNCDs and TBNCDs were significantly influenced by age, sex, marital status, wealth index, education and geographic region. Compared to other classifiers, the RF-based classifier provides the highest ACC and AUC for both DBNCDs (ACC = 81.06% and AUC = 0.93) and TBNCDs (ACC = 88.61% and AUC = 0.97) for the K10 protocol. A combination of considered two-step factor selections and RF-based classifier can better predict the burden of NCDs. The findings of this study suggested that decision-makers might adopt suitable decisions to control and prevent the burden of NCDs using RF classifiers.
    MeSH term(s) Humans ; Noncommunicable Diseases ; Overweight ; Bangladesh ; Bayes Theorem ; Obesity ; Hypertension ; Machine Learning ; Diabetes Mellitus
    Language English
    Publishing date 2024-03-20
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 390961-x
    ISSN 1469-7599 ; 0021-9320
    ISSN (online) 1469-7599
    ISSN 0021-9320
    DOI 10.1017/S0021932024000063
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Prevalence and socioeconomic determinants of awareness and visitation of community clinic among ever married women: evidence from Bangladesh Demographic and Health Survey, 2017-2018.

    Al-Zubayer, Md Akib / Shanto, Hasibul Hasan / Kumkum, Rabeya / Alam, Sk Tasnuva / Ahammed, Benojir

    BMJ open

    2023  Volume 13, Issue 2, Page(s) e067823

    Abstract: Objectives: Bangladesh has made remarkable progress in improving the population's health, but maternal health and healthcare facilities are still in a vulnerable situation. This study aims to investigate the prevalence and determinants of awareness and ... ...

    Abstract Objectives: Bangladesh has made remarkable progress in improving the population's health, but maternal health and healthcare facilities are still in a vulnerable situation. This study aims to investigate the prevalence and determinants of awareness and visitation of community clinics (CCs) in Bangladesh.
    Design: A population-based cross-sectional study.
    Setting: The data were collected from the most recent Bangladesh Demographic and Health Survey conducted in 2017-2018.
    Participants: This study's participants are 18 893 women aged 15-49 years throughout all administrative regions.
    Primary and secondary outcome measures: The outcomes are awareness and visitation of CCs, defined as if women are aware and visit of CCs.
    Materials and methods: Descriptive statistics, bivariate and multivariate binary logistics analysis were used to determine the prevalence and associated factors of awareness and visitation of CCs.
    Results: The prevalence of awareness and visitation to CCs were 60.26% and 15.92%, respectively. The result of the multivariate analysis revealed that higher education, division and higher number of children were significantly positively associated, whereas the richest wealth index was significantly negatively associated with both awareness and visitation to CCs. Furthermore, the urban residence was negatively and respondent involvement in currently working was positively significantly related to awareness of CCs. Moreover, male household heads and exposure to media were significantly positively related to visitation to CCs.
    Conclusion: The study result highlights that more than half of the women were aware of CCs however, the CCs' visit rates were comparatively low. Priority-based public health programmes for women through community health workers are urgently needed to increase the awareness and visitation of CCs.
    MeSH term(s) Child ; Female ; Male ; Humans ; Bangladesh/epidemiology ; Prevalence ; Cross-Sectional Studies ; Family Conflict ; Socioeconomic Factors ; Family Characteristics
    Language English
    Publishing date 2023-02-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2022-067823
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Maternal Healthcare Services Utilisation and Its Associated Risk Factors: A Pooled Study of 37 Low- and Middle-Income Countries.

    Shanto, Hasibul Hasan / Al-Zubayer, Md Akib / Ahammed, Benojir / Sarder, Md Alamgir / Keramat, Syed Afroz / Hashmi, Rubayyat / Haque, Rezwanul / Alam, Khorshed

    International journal of public health

    2023  Volume 68, Page(s) 1606288

    Abstract: Objectives: ...

    Abstract Objectives:
    MeSH term(s) Pregnancy ; Child ; Female ; Humans ; Maternal Health Services ; Developing Countries ; Prenatal Care ; Facilities and Services Utilization ; Patient Acceptance of Health Care ; Delivery of Health Care
    Language English
    Publishing date 2023-10-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2274130-6
    ISSN 1661-8564 ; 1661-8556
    ISSN (online) 1661-8564
    ISSN 1661-8556
    DOI 10.3389/ijph.2023.1606288
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 843: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017-2018 demographic and health survey data.

    Rahman, Md Ashfikur / Kundu, Satyajit / Rashid, Harun Or / Shanto, Hasibul Hasan / Rahman, Md Mahmudur / Khan, Bayezid / Howlader, Md Hasan / Islam, Md Akhtarul

    PloS one

    2022  Volume 17, Issue 11, Page(s) e0278093

    Abstract: Background: In many low- and middle-income countries (LMICs), including Bangladesh, socioeconomic inequalities in access to maternity care remain a substantial public health concern. Due to the paucity of research, we attempted to determine the factors ... ...

    Abstract Background: In many low- and middle-income countries (LMICs), including Bangladesh, socioeconomic inequalities in access to maternity care remain a substantial public health concern. Due to the paucity of research, we attempted to determine the factors affecting the facility delivery, quantify wealth-related inequality, and identify potential components that could explain the inequality.
    Methods: We used the latest Bangladesh Demographic and Health Survey (BDHS 2017-18) data in this study. We utilized logistic regression to investigate the associated factors of facility delivery. The concentration curves (CC), concentration index (CIX) and decomposition of CIX techniques were used to analyze the inequality in-facility delivery.
    Results: Women living in the urban areas, age at first birth after (18-24 years ≥25 years), being overweight/obese, having secondary and higher-level education of the women and their husband, seeking four or more ANC, coming from more affluent households, and women with high enlightenment were significant determinants of facility delivery. The concentration curve was below the line of equality, and the relative concentration index (CIX) was 0.205 (p <0.001), indicating that women from wealthy groups were disproportionately more prevalent to facility delivery. The decomposition analysis reveals that wealth status of women (57.40%), age at first birth (10.24%), husband's education (8.96%), husband's occupation (7.35%), education of women (7.13%), women's enlightenment (6.15%), residence (8.64%) and ANC visit (6.84%) are the most major contributors to the inequalities in utilizing facility delivery.
    Conclusion: The study demonstrates a clear disparity in the use of facility delivery among Bangladeshi women; hence, immediate action is required to lower the inequalities, with a special emphasis on the contributing factors.
    MeSH term(s) Pregnancy ; Humans ; Female ; Adolescent ; Young Adult ; Adult ; Bangladesh ; Maternal Health Services ; Educational Status ; Poverty ; Demography
    Language English
    Publishing date 2022-11-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0278093
    Database MEDical Literature Analysis and Retrieval System OnLINE

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