Skip to main content
Advertisement
  • Loading metrics

Role of internet use, mobile phone, media exposure and domestic migration on reproductive health service use in Bangladeshi married adolescents and young women

  • Anita Pickard ,

    Contributed equally to this work with: Anita Pickard, Md Irteja Islam

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Faculty of Medicine and Health, School of Public Health, The University of Sydney, Sydney, New South Wales, Australia

  • Md Irteja Islam ,

    Contributed equally to this work with: Anita Pickard, Md Irteja Islam

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    m.i.islam@sydney.edu.au

    Affiliations Faculty of Medicine and Health, School of Public Health, The University of Sydney, Sydney, New South Wales, Australia, Research, Innovation and Grants, Spreeha Foundation, Gulshan 2, Dhaka, Bangladesh, Centre for Health Research, The University of Southern Queensland, Toowoomba, Queensland (QLD), Australia

  • Md Sabbir Ahmed,

    Roles Data curation, Validation, Writing – review & editing

    Affiliations Department of Development Studies, Daffodil International University, Savar, Dhaka, Bangladesh, Department of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, Canada

  • Alexandra Martiniuk

    Roles Project administration, Supervision, Visualization, Writing – review & editing

    Affiliations Faculty of Medicine and Health, School of Public Health, The University of Sydney, Sydney, New South Wales, Australia, Office of the Chief Scientist, The George Institute for Global Health, Newtown, New South Wales, Australia, Dalla Lana School of Public Health, The University of Toronto, Toronto, Ontario, Canada

Abstract

Numerous studies have identified factors that are associated with increased access to reproductive health services in lower-middle-income countries (LMICs). However, limited studies examined the influence of access to internet or a mobile phone, media exposure and domestic migration on reproductive health services use in LMICs like Bangladesh. This study investigated the role of such factors on the use of contraceptives, antenatal care (ANC) and postnatal care (PNC) by married adolescents and young women in Bangladesh and whether it was varied by area. Secondary data for 1665 married women aged 15–24 years, sourced from the 2019 Multiple Indicator Cluster Surveys, were included in both bivariate analyses and logistic regression modelling to examine the role of access to internet and/or mobile phone, media exposure and domestic migration on the outcome variables (contraceptive, ANC and PNC). All regression models were controlled for age, wealth, education and number of existing children. Among all participants, 69.8% were aged 20–24 years and 85.6% lived in rural areas. Of the total sample, 67.5% used contraceptives, 75.7% utilised ANC and 48.7% accessed PNC. Domestic migration significantly increased contraceptive use, with women who had moved locally within the last five years 1.84 times more likely to use contraception than those who had never moved (95% CI: 1.41–2.41, p<0.001). Women with internet or mobile phone access were more likely to receive ANC (aOR: 1.57, 95% CI: 1.22–2.00, p<0.001) compared to those without internet/mobile phone access. Media exposure was found to increase the likelihood of receiving ANC in urban areas. No significant influence was found on the use of PNC. Internet/mobile-based platforms are promising avenues for public health messaging regarding ANC in Bangladeshi married adolescents and young women. Further research is required into determinants of PNC service use in low-resource settings.

Introduction

Access to quality reproductive healthcare services is considered a fundamental sexual and reproductive health right and is known to improve health and economic outcomes for mothers and children [14]. Quality reproductive healthcare is key to achieving sustainable development goal (SDG) 3: Ensure healthy lives and promote well-being for all at all ages, through reduction of maternal and infant mortality and ensuring access to family planning. It is also important for SDG 5: Achieve gender equality and empower all women and girls [5]. It is estimated that 290,000 pregnancy-related deaths occur each year in developing nations due to inadequacies in maternal healthcare, and there are 1.1 billion women of reproductive age in need of family planning services [1,6]. Quality reproductive healthcare services during ante- and immediate postnatal periods are particularly important for adolescents who have an increased risk of hypertension (pre-eclampsia), anaemia and preterm labour leading to preterm delivery [1,7,8].

In 2019, the highest number of women with an unmet need for modern contraception, 87 million, resided in Southern Asia [4,9]. At 64%, the contraceptive prevalence rate in Bangladesh is both higher than the Southern Asian average (52%), the lower middle-income country average (51%) and the surrounding country rates [10,11]. However, 10% of married women and 12.7% of married adolescents aged 15–19 years in Bangladesh have an unmet need for contraception [10,12]. It must also be mentioned that data on unmet needs for family planning services only exist for married adolescents, missing a large number of unmarried young women who also need access to such services [12]. Bangladesh’s 4th Health, Population and Nutrition Sector Program aims to increase the contraceptive prevalence rate to 75% by 2023 and reduce discontinuation from 30 to 20% [13]. Moreover, the number of women in Bangladesh receiving four or more antenatal care (ANC) visits has declined in recent years and at 41%, is lower than the surrounding countries such as India, Pakistan, Myanmar and Nepal [10,14]. It should also be noted that the World Health Organisation (WHO) now recommends eight or more ANC visits and the lowest attendance rates are seen in Southern Asia at 49% [15]. Immediate postnatal care (PNC) continues to be one of the most neglected aspects of maternal and child health care despite most maternal and infant deaths occurring during this time [1618]. The percentage of women in Bangladesh who received an immediate PNC check from a medically trained professional in the two days following birth was 55% in 2022 [10]. The Bangladesh National Strategy for Maternal Health 2019–2030 aims for 50% of women to receive four or more ANC visits and PNC from a medically trained provider by 2020, with this goal increasing to 80% by 2025 and 100% by 2030 [19]. Bangladesh is currently not on track for its reproductive health goals, and an increased understanding of determinants of reproductive health service use is necessary, particularly for at-risk groups such as young women and adolescents.

Previous literature shows that in Bangladesh, living in an urban area, greater wealth and higher education are positively associated with the use of contraceptives, ANC and PNC visits [2032]. Residing in an urban area is thought to contribute in increased use of reproductive health services in Bangladesh and internationally due to increased health service coverage and wealth in these areas [21,29]. Further, wealth has been not only associated with a better ability to pay for care, but with increased involvement in decision-making and female empowerment, which itself is positively associated with the use of reproductive health services [21,3340]. Wealthier families often achieve higher education and a woman’s education as well as that of her husband has been positively associated with reproductive health service use in Bangladesh and other LMICs [21,22,24,28,29,4147]. Older women in Bangladesh generally have greater use of contraceptives and ANC, however, the association between age and PNC use is still unclear [21,28,31,37,38,48]. Contraceptive use also increases with the number of existing children a woman has [33,44,4951]. Therefore, age, area of residence, education, wealth and number of existing children have been included in this study as covariates.

Prior evidence, including studies from other LMICs, suggest internet access can increase contraceptive use and domestic migration influences the use of ANC services [5255]. However, these influences have not been investigated in Bangladesh. Additionally, previous research from Bangladesh suggests media plays a role in contraceptive use and ANC but there has been no research in Bangladesh of the role of media on obtaining PNC [36,56].

A previous study involving college students in Bangladesh found that use of mobile phones to access sexual and reproductive health information showed potential for bypassing traditional knowledge gatekeepers, to enable students to make their own decisions around reproduction, particularly for young women [57]. However, this influence of information via mobile phones was largely still dependant on the contributions of family, elders, and health service providers, in particular pertaining to what information was ‘appropriate to know’ and what information should be shared with peers. A further study which evaluated using telehealth for ANC and PNC in Bangladesh during the COVID-19 pandemic showed promise but concerns remained around access to technology and the nature of some care procedures that could only be provided in person [58]. There is a need to understand the current influence of internet and/or mobile phones on reproductive health service use in Bangladesh. Importantly because knowing more about this is likely to support the implementation of potentially efficient and effective initiatives to provide or support the delivery of ANC and PNC. It is highly likely, given the experience of other countries globally, that the internet and mobile phone will be an ever growing conduit of sexual and reproductive health information in Bangladesh.

Globally, rapid urbanisation sees domestic migration from rural to urban areas increasing and was predicted to cause a 93% increase in the urban population between 2000 and 2020 in Bangladesh [59]. Evidence suggests domestic migrants are more likely to use contraception and ANC, possibly due to increased targeting of health information to newer community members [60], and that urban-rural return migration sees an increase in positive attitudes towards family planning and increased knowledge of self-controllable contraceptives from women returning to the countryside [52,53]. A recent study in Nepal found that urban-to-urban migrant women and urban non-migrant women were more likely to use contraceptives than those who migrated from rural-to-rural areas. Moreover, the study also noticed that urban-to-urban migrant women and rural-to-urban migrant women were more likely to receive four ANC visits than those who migrated between rural-to-rural areas [61]. However, this has not been thoroughly investigated in Bangladesh. One study showed rural-urban migrants in Bangladesh did not show significant differences to modern contraceptive use in Bangladesh [59], but use of other reproductive health services has not been studied. Considering the economic, social and cultural change that can be caused by domestic migration, it’s role as a potential barrier or facilitator of reproductive health service use should be investigated along with other factors including mobile phone, internet use and/or media exposure.

Further, current influences such as the effects of the COVID-19 pandemic are yet to be fully understood, however, an initial review of COVID-19 impacts on sexual and reproductive health services in Bangladesh found that family planning had reduced by 23%, with a 31% decrease in ANC visits [62,63]. A model of COVID-19 impacts in 118 LMICs suggested postnatal care could reduce by 18–51.9% (45). Considering the potential impact of COVID-19 on service delivery, it is more important than ever to ensure family planning measures are targeted, preventing the reversal or further stagnation of contraceptive trends and ensuring Bangladesh achieves its reproductive health goals. This is particularly important for at-risk groups such as adolescents and young women. This research aims to investigate the influence of internet and mobile phone access, media exposure and domestic migration on the use of contraceptives, ANC and PNC by married adolescents and young women aged between 15–24 years in Bangladesh.

Methods

Data source

Data was sourced from the publicly available MICS 2019 conducted by the Bangladesh Bureau of Statistics in collaboration with UNICEF Bangladesh [64]. A two-stage, stratified cluster sampling approach was used in both surveys covering all administrative districts (N = 64). Enumeration areas from the 2011 Bangladesh Population and Housing Census were classified as primary sampling units. The first stage selected primary sampling units using a probability proportional to size sampling procedure based on the number of households reported in the 2011 census for that enumeration area. Households in each primary sampling unit were listed and 20 households were selected using a systematic random sampling process from each. The total sample size for the 2019 MICS was 64, 400 households. The same sample weighting method based on the 2011 census probability based on population size was used. Data was drawn from the Questionnaire for Individual Women, translated to Bengali and administered individually, to all women aged 15–49 years living in sampled households. Verbal consent was obtained for each respondent and those aged 15–17 years, parent/guardian/caregivers’ consent was obtained in advance of the child’s assent. Taking all adolescent respondents aged 15–24 years with complete data for the variables analysed, the 2019 total sample was n = 1665. The total MICS sample size was 22166 and data was excluded due to the respondent not being asked about reproductive health or no response was recorded. Data were collected between January and June 2019. Further details of the MICS sample design and data collection methods are described elsewhere [65].

Outcome variables

Dependent variables were the use of contraceptives, use of antenatal care (ANC) services and use of immediate postnatal care (PNC) services (mother and/or baby). Women were asked what type of contraception they were currently using. The response “not using any contraception” was coded as 0 (no, not using contraception) and responses “modern method”, “traditional method”, “folkloric method” or “both modern and traditional” were coded as 1 (yes, using contraception). The response “prefer not to answer” was treated as missing data and omitted. Women were asked whether they received ANC and the responses were coded as 0 (no) and 1 (yes). To analyse immediate PNC, if neither the mother nor the baby was checked after the delivery was over, the response was coded as 0 (no, did not receive PNC) and if either mother or baby was checked the response was coded as 1 (yes, received PNC).

Explanatory variables

In this study, we considered three exposure variables, namely–(i) access to the internet or a mobile phone, (ii) media exposure, and (iii) domestic migration. Response for ‘access to the internet or a mobile phone’ was coded as ‘1’ if the women responded ‘yes’ to having access to the internet and/or a computer or access to a mobile phone (regardless of whether it was a smartphone or not) and coded as ‘0’ if the respondent did not have access to either. Exposure to mass media was defined as women who, at least once per week, watch tv, read the newspaper or listen to the radio, and responses were coded as either 1 (yes) or 0 (no). Women were asked how long they had been living in the current location and for analyses we categorised and coded the variables into the following to specify domestic migration: 0 (never moved from current location), 1 (moved within the last five years) and 2 (moved over five years ago). Based on the literature age (15–19 years, 20–24 years), education level (completed primary education or below, completed an education above primary but below secondary, completed secondary education or above), wealth index (first/poorest, second/poor, third/middle class, fourth/rich, fifth/richest), area of residence (urban and rural), and number of children ever born (1 or 2+) were included as covariates. The categorisation of urban and rural areas in both MICS data sets was in line with established definitions used by the Bangladesh Bureau of Statistics for the Population and Housing Census 2011 [65].

Statistical analysis

Descriptive analyses were used to calculate the frequencies (n) and percentages (%) of outcome variables, and explanatory variables for the total sample. Chi-squared tests were used to investigate the bivariate associations between explanatory and outcome variables. Covariates found to have a significant (p<0.05) influence on the outcome variables were adjusted in multiple logistic regression models. Further, we conducted regression analysis stratified by area. Adjusted odds ratios (aOR) with 95% CI were reported. Data were analysed using the ‘SVY’ set package of the Stata 14.1 version (StataCorp, College Station, TX, USA) to consider the complex survey design. Further, the assumptions of logistic regression models were examined by the application of the Hosmer-Lemeshow goodness-of-fit test.

Ethics

To gain access to the MICS, our online request and short research objective were approved by the UNICEF MICS team [66]. The survey protocol was approved by the technical committee of the Government of Bangladesh led by the Bangladesh Bureau of Statistics [65]. Written informed consent was obtained from parent/guardian for the study participants (adolescents/young women) aged less than 18 years. All participants were aware that information was voluntary, confidential and anonymous. Participants could refuse to answer any question and cease the interview at any time.

Results

The characteristics of the sample are displayed in Table 1. The majority of women interviewed were aged 20–24 years (n = 1163, 69.8%) and lived in rural areas (n = 1425, 85.6%). Most belonged to either the poorest or second poorest wealth quintiles (n = 991, 59.5%) and had achieved between a primary and secondary level of education (n = 900, 54.1%). Over two thirds of participants did not have access to the internet or a mobile phone (n = 1121, 67.3%) and over half did not engage with mass media (TV, newspaper, radio) at least once per week (n = 923, 55.4%).

thumbnail
Table 1. Demographic characteristics and rates of exposure to media, internet and migration of married women aged 15–24 years in Bangladesh.

https://doi.org/10.1371/journal.pgph.0002518.t001

Fig 1 shows the distribution of reproductive health service use by all participants. Of married adolescents and young women, 67.5% (n = 1124) used contraceptives in 2019. Antenatal care had the highest proportion of women using the services at 75.7% (n = 1261). Postnatal care was the only service that less than half the women used at 48.7% (n = 811). Almost all women (n = 1592, 95.6%) used at least one service.

thumbnail
Fig 1. Total sample use of reproductive health services.

Descriptive analyses of contraceptive, antenatal and postnatal care use by Bangladeshi married adolescents and young women. The percentage of women using at least one service was also calculated.

https://doi.org/10.1371/journal.pgph.0002518.g001

The bivariate analysis presented in Table 2 shows history of internal migration (p<0.001) and Wealth (p = 0.050) were significantly positively associated with contraceptive use by the total sample. All independent variables (internet or mobile phone access, exposure to media, and history of internal migration) and covariates (age, education, wealth and the number of existing children) were found to be significantly positively associated with antenatal care of married adolescents and young women in Bangladesh (p<0.010 for all). Only wealth (p = 0.008) was positively associated with use of postnatal care services by the total sample.

thumbnail
Table 2. Bivariate analysis of the relationships between sample characteristics and exposures, to use of reproductive health services.

https://doi.org/10.1371/journal.pgph.0002518.t002

Results from regression modelling for the total sample are shown in Table 3. History of internal migration was found to increase the likelihood of contraceptive use by married adolescent and young women aged 15–24 years. Women who had moved within the last 5 years and who moved over five years ago were respectively 1.84 times (95% CI: 1.41–2.41, p<0.001) and 1.58 times (95% CI: 1.21–2.14, p = 0.001) more likely to use contraception than those who had never moved. Table 3 also demonstrates that women with access to the internet or a mobile phone were 1.54 times (95% CI: 1.22–2.00, p<0.001) more likely to use antenatal care services than those who did not. Women with an education above primary (OR 1.69, 95% CI: 1.32–2.17, p<0.001) and above secondary (OR 1.94, 95% CI: 1.20–3.16, p = 0.007) levels were more likely to use antenatal care services than those with an education below primary level. Women in the wealthiest quintile were over four times as likely to use antenatal care services compared to the poorest (OR 4.2, 95% CI: 1.91–9.23, p<0.001). Married adolescent and young women from all socioeconomic status (from poor to richest) also increased the use of antenatal care services compared to poorest. Having more than two children at the time of the survey reduced the likelihood a woman used antenatal care services compared to those with only one existing child (OR 0.68, 95% CI: 0.50–0.93, p = 0.016). Belonging to the richest wealth quintile was the only factor found to increase the probability of using postnatal care services compared to women in the poorest quintile (OR 1.89, 95% CI: 1.24–2.89, p = 0.008).

thumbnail
Table 3. Logistic regression analysis between exposure variables and reproductive health services for married women aged 15–24 years in Bangladesh.

https://doi.org/10.1371/journal.pgph.0002518.t003

Table 4 presents results from regression models stratified by area (rural vs urban for each reproductive service included in this study). Among those who are currently residing in a rural area, who had moved within the last five years and those who had moved over five years ago were 1.85 times (95% CI: 1.38–2.47, p<0.001) and 1.49 times (95% CI: 1.09–2.02, p = 0.012) more likely to use contraceptives than those who had never moved, respectively. Of women in urban areas, those who had moved over five years ago were 2.33 times (95% CI: 1.02–5.31, p = <0.05) as likely to use contraceptives than those who had never moved. Further, among women residing in urban areas, who belonged to the second poorest wealth quintile (OR 4.38, 95% CI: 1.50–12.82, p = 0.007) and the wealthiest quintile (OR 2.58, 95% CI: 1.09–6.07, p = 0.03) were more likely to use contraceptives than the poorest urban women. Table 4. also demonstrates that both rural (OR 1.48, 95% CI: 1.14–1.92, p = 0.003) and urban (OR 2.77, 95% CI: 1.29–5.93, p = 0.009) women were more likely to use antenatal care services if they had access to the internet or a mobile phone compared to those in the same area who did not. Women in urban areas were almost three times as likely to use antenatal care services if exposed to media at least once per week (OR 2.78, 95% CI: 1.13–5.93, p = 0.08) compared to those who did not have the exposure. Urban women with two or more children were 0.31 times less likely to use antenatal care services than urban women with one child (OR 0.31, 95% CI: 0.14–0.67, p = 0.003). Higher education and wealth were found to increase the likelihood of rural women using antenatal care services compared to their respective counterparts. No factors were found to be significantly associated with the increased use of postnatal care services in stratified analysis by area.

thumbnail
Table 4. Logistic regression analysis between exposure variable and reproductive health service use, stratified by area, for married women aged 15–24 years living in rural (n = 1425) and urban (n = 240) areas in Bangladesh.

https://doi.org/10.1371/journal.pgph.0002518.t004

Model fit statistics

All the models in Tables 3 and 4 shows that the p-values of the Hosmer-Lemeshow statistic (Goodness-of-fit test) were not statistically significant (p>0.05), which indicates good logistic regression model fit.

Discussion

This study investigated the factors that influence reproductive health service use by married women aged 15–24 years in Bangladesh. Overall, access to the internet and/or mobile phones increased use of ANC services regardless of women’s area of residence. Media exposure was found to significantly increase the use of ANC services for women residing in urban areas only. Domestic migration increased contraceptive use, particularly for women residing in rural areas. The influence of sociodemographic factors such as education, wealth, and number of existing children, on the use of contraceptive, antenatal and postnatal care were consistent with previous literature.

Previous studies have found that access to mass media can increase the likelihood of contraceptive and antenatal care service use [27,67], however, this study suggests this finding does not hold for adolescent or young women. One reason for this could be reduced decision-making power of adolescents who may need to rely on partners or in-laws for health-related decision-making compared to older women [68]. In this context, the targeting of family planning, ante- and post-natal care messaging or information may be more influential when addressed to family members of adolescent or young women. Alternatively, the role of technology may have shifted from traditional forms of media (radio, TV, printed news) to online, internet and mobile based platforms for this age group. It is important to note that though access to the internet and/or mobile phones was positively associated with ANC, data regarding how, or how often, the internet or mobiles were used in relation to reproductive health care or information was not captured. A recent review on sexual and reproductive health rights among Bangladeshi adolescents found that the internet is now the second most used form of mass media (still behind TV) and is a promising platform for sexual health messaging [12].

Migration can cause an increased financial burden and stress on families and couples [6971]. This expenditure and instability may contribute to the increased use of contraception by those who have recently moved found in this study, as these couples or families may not be ready for a child. Internal migration is often also for job opportunities and women who are employed are more likely to use contraception due to the perceived effects of childbearing on career aspirations [24]. The influence of internal migration was more pronounced in this study for women now living in rural areas. International evidence suggests urban-rural return migration sees an increase in positive attitudes towards family planning and increased knowledge of self-controllable contraceptives from women returning to the countryside and may be present in this study [52,53]. Alternatively, women who have migrated due to marriage between rural areas may be more likely to be using contraceptives before the couple decides to start a family.

Limitations

This study conducted secondary data analysis using pre-COVID-19 data, preventing analysis of COVID-19 impacts on reproductive health services use in Bangladesh. However, it is a valuable analysis of pre-pandemic data and can serve as baseline to observe changes, if any, due to the pandemic on use of reproductive services. These data will assist in understanding future actions required to address any declines in health services due to the COVID-19 pandemic and may help improve the efficiency and cost-effectiveness of future communication and services delivery. As a cross sectional study, this research is unable to determine causal factors of reproductive health service use and only investigate influences. Some bias may also be present in survey responses due to cultural expectations surrounding reproductive health services and childbirth.

Conclusion

Access to the internet or a mobile phone increases the likelihood of using ANC services and suggests online-based platforms are promising avenues for increasing use of reproductive services. Furthermore, domestic migration is associated with increased access to reproductive health services (contraceptives and ANC) in Bangladesh. More research is required into the determinants of PNC service use by adolescent and young mothers in Bangladesh. This work highlights the changing influences on the use of reproductive health services in Bangladesh as the country experiences rapid economic growth, urbanisation and increased use of technology within the general population. This study can direct further research and advise policy planning to address women’s knowledge regarding sexual and reproductive health services as well as potentially improve women’s access to reproductive and maternal healthcare in Bangladesh.

References

  1. 1. Family planning/contraception methods [Internet]. World Health Organisation. 2020 [cited 2022 Jun 4]. Available from: https://www.who.int/news-room/fact-sheets/detail/family-planning-contraception.
  2. 2. Report of the International Conference on Population and Development [Internet]. Cairo: United Nations; 1994 Sep [cited 2022 Jun 4]. Available from: https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/icpd_en.pdf.
  3. 3. Family Planning—A global handbook for providers [Internet]. World Health Organisation,; 2018 [cited 2022 Jun 4]. Available from: https://www.who.int/publications/i/item/9780999203705.
  4. 4. World Family Planning 2020 Highlights: Accelerating action to ensure universal access to family planning [Internet]. United Nations, Department of Economic and Social Affairs, Population Division; 2020 [cited 2022 Jun 4]. Available from: https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/files/documents/2020/Sep/unpd_2020_worldfamilyplanning_highlights.pdf.
  5. 5. Global indicator framework adopted by the General Assembly in A/RES/71/313 (Annex), annual refinements contained in E/CN.3/2018/2 (Annex II), E/CN.3/2019/2 (Annex II), 2020 Comprehensive Review changes (Annex II) and annual refinements (Annex III) contained in E/CN.3/2020/2 annual refinements contained in E/CN.3/2021/2 (Annex). E/CN.3/2022/2 (Annex I), and decision (53/101) by the 53rd United Nations Statistical Commission (E/2022/24-E/CN.3/2022/41). [Internet]. UN; 2020 [cited 2022 Jun 4]. Available from: https://unstats.un.org/sdgs/indicators/indicators-list/.
  6. 6. Barot S. Sexual and Reproductive Health and Rights Are Key to Global Development: The Case for Ramping Up Investment [Internet]. The Guttmacher Institute; 2015 [cited 2022 Sep 5]. Available from: https://www.guttmacher.org/gpr/2015/02/sexual-and-reproductive-health-and-rights-are-key-global-development-case-ramping.
  7. 7. Scholl TO, Hediger ML, Belsky DH. Prenatal care and maternal health during adolescent pregnancy: A review and meta-analysis. Journal of Adolescent Health. 1994 Sep 1;15(6):444–56. pmid:7811676
  8. 8. Family Planning Can Reduce High Infant Mortality Levels. The Alan Guttmacher Institute [Internet]. 2002 Apr [cited 2022 Jun 4];(2). Available from: https://www.guttmacher.org/sites/default/files/report_pdf/ib_2-02.pdf.
  9. 9. Kantorova V, Wheldon MC, Ueffing P, Dasgupta ANZ. Estimating progress towards meeting women’s contraceptive needs in 185 countries: A Bayesian hierarchical modelling study. PLoS Medicine [Internet]. 2020 Feb 18;17(2). Available from: pmid:32069289
  10. 10. Bangladesh Demographic Health Survey, 2022. National Institute of Population Research and Training; 2023 Mar.
  11. 11. Contraceptive Prevalence, any method (% of married women ages 15–49)—Bangladesh, Lower middle income, South Asia [Internet]. World Bank. 2018 [cited 2022 Jun 22]. Available from: https://data.worldbank.org/indicator/SP.DYN.CONU.ZS?locations=BD-XN-8S.
  12. 12. Islam MM, Arannya M. Unmet need for family planning and sexual and reproductive health and rights among adolescents in Bangladesh. China Population and Development Studies [Internet]. 2023 May 24; Available from: https://doi.org/10.1007/s42379-023-00131-6.
  13. 13. Bangladesh Demographic and Health Survey 2017–2018 [Internet]. National Institute of Population Research and Training and ICF; 2020 Oct. Available from: https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf.
  14. 14. Antenatal Care [Internet]. UNICEF. 2022. Available from: https://data.unicef.org/topic/maternal-health/antenatal-care/.
  15. 15. UNICEF. Antenatal Care [Internet]. Global Development COmmons. 2020. Available from: https://gdc.unicef.org/resource/antenatal-care#:~:text=Globally%2C%20while%2086%20per%20cent,at%20least%20four%20antenatal%20visits.
  16. 16. WHO urges quality care for women and newborns in critical first weeks after childbirth [Internet]. World Health Organisation. 2022. Available from: https://www.who.int/news/item/30-03-2022-who-urges-quality-care-for-women-and-newborns-in-critical-first-weeks-after-childbirth#:~:text=Worldwide%2C%20more%20than%203%20in,maternal%20and%20infant%20deaths%20occur.
  17. 17. Sacks E, Langlois ÉV. Postnatal care: increasing coverage, equity, and quality. The Lancet Global Health. 2016 Jul 1;4(7):e442–3. pmid:27185467
  18. 18. Postnatal Care [Internet]. Maternal Health Taskforce. 2022. Available from: https://www.mhtf.org/topics/postnatal-care/.
  19. 19. Bangladesh National Strategy for Maternal Health 2019–2030 [Internet]. Government of the People’s Republic of Bangladesh Ministry of Health and Family Welfare; 2019. Available from: http://dgnm.portal.gov.bd/sites/default/files/files/dgnm.portal.gov.bd/page/18c15f9c_9267_44a7_ad2b_65affc9d43b3/2021-06-24-11-27-702ae9eea176d87572b7dbbf566e9262.pdf.
  20. 20. Kim ET, Weiss W. Maternal postnatal care in Bangladesh: a closer look at specific content and coverage by different types of providers. Journal of global health reports [Internet]. 2019;3. Available from: https://doi.org/10.29392/joghr.3.e2019004.
  21. 21. Ahmed MdS, Khan S, Yunus FM. Factors associated with the utilization of reproductive health services among the Bangladeshi married women: Analysis of national representative MICS 2019 data. Midwifery. 2021 Dec 1;103:103139. pmid:34560376
  22. 22. Ahmed MdS Yunus FM. Factors associated with knowledge and use of the emergency contraceptive pill among ever-married women of reproductive age in Bangladesh: findings from a nationwide cross-sectional survey. null. 2021 May 4;26(3):195–201.
  23. 23. Rahman A, Nisha MK, Begum T, Ahmed S, Alam N, Anwar I. Trends, determinants and inequities of 4+ ANC utilisation in Bangladesh. Journal of Health, Population and Nutrition. 2017 Jan 13;36(1):2. pmid:28086970
  24. 24. Islam MdK, Haque MdR, Hema PS. Regional variations of contraceptive use in Bangladesh: A disaggregate analysis by place of residence. PLoS ONE [Internet]. 2020 Mar 25;15(3). Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0230143.
  25. 25. Huda FA, Robertson Y, Chowdhuri S, Sarker BK, Reichenbach L, Somrongthong R. Contraceptive practices among married women of reproductive age in Bangladesh: a review of the evidence. Reproductive Health. 2017 Jun 6;14(1):69. pmid:28587619
  26. 26. Islam M, Masud M. Determinants of frequency and contents of antenatal care visits in Bangladesh: Assessing the extent of compliance with the WHO recommendations. PLoS ONE [Internet]. 2018;13(9). Available from: pmid:30261046
  27. 27. Bhowmik K, Das S, Islam M. Modelling the number of antenatal care visits in Bangladesh to determine the risk factors for reduced antenatal care attendance. PLoS ONE [Internet]. 2020;15(1). Available from: pmid:31978200
  28. 28. Ashikuzzaman M, Chanda S, Ahammed B, Howlader M, Shovo TEA, Hossain M. Factors associating different antenatal care contacts of women: A cross-sectional analysis of Bangladesh demographic and health survey 2014 data. PLoS ONE [Internet]. 2020;15(4). Available from: pmid:32348364
  29. 29. Islam MdA, Sathi NJ, Abdullah HM, Naime J, Butt ZA. Factors Affecting the Utilization of Antenatal Care Services During Pregnancy in Bangladesh and 28 Other Low- and Middle-income Countries: A Meta-analysis of Demographic and Health Survey Data. Dr Sulaiman Al Habib Medical Journal. 2022 Mar 1;4(1):19–31.
  30. 30. Aziz S, Basit A, Sultana S, Homer C, Vogel JP. Inequalities in women’s utilization of postnatal care services in Bangladesh from 2004 to 2017. Scientific Reports [Internet]. 2022;12(1). Available from: pmid:35177728
  31. 31. Islam MM, Masud MS. Health care seeking behaviour during pregnancy, delivery and the postnatal period in Bangladesh: Assessing the compliance with WHO recommendations. Midwifery. 2018 Aug 1;63:8–16. pmid:29758443
  32. 32. Kamal MM, Islam MS, Alam MS, Hassan ABME. Determinants of Male Involvement in Family Planning and Reproductive Health in Bangladesh. American Journal of Human Ecology. 2013;2(3).
  33. 33. Ullah MS, Chakraborty N. Factors affecting the use of contraception in Bangladesh: a multivariate analysis. Asia-Pacific Population Journal. 1993;8(3):19–30. pmid:12287078
  34. 34. Hou X, Ma N. The Effect of Women’s Decision-Making Power on Reproductive Health Services Uptake—Evidence from Pakistan. eSocialSciences [Internet]. Available from: https://ideas.repec.org/p/ess/wpaper/id6453.html.
  35. 35. Stephenson R, Elfstrom KM. Community influences on antenatal and delivery care in Bangladesh, Egypt, and Rwanda. Public health reports. Public Health Reports [Internet]. 2012;127(1). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3234403/. pmid:22298928
  36. 36. Hossain B, Hoque AA. WOMEN EMPOWERMENT AND ANTENATAL CARE UTILIZATION IN BANGLADESH. The Journal of Developing Areas. 2015;49(2):109–24.
  37. 37. Nayan SK, Begum N, Abid MR, Rahman S, Rajib AK, Farzana N, et al. Utilization of Postnatal Care Services among the Rural Women in Bangladesh. Northern Int Med Coll J. 2017 May 14;8(2):208–12.
  38. 38. Winch PJ, Alam MA, Akther A, Afroz D, Ali NA, Ellis AA, et al. Local understandings of vulnerability and protection during the neonatal period in Sylhet district, Bangladesh: a qualitative study. The Lancet. 2005 Aug 6;366(9484):478–85. pmid:16084256
  39. 39. Chakraborty N, Islam MA, Chowdhury RI, Bari W. Utilisation of postnatal care in Bangladesh: evidence from a longitudinal study. Health & Social Care in the Community. 2002 Nov 1;10(6):492–502. pmid:12485137
  40. 40. Mosiur Rahman M, Haque SE, Sarwar Zahan M. Factors affecting the utilisation of postpartum care among young mothers in Bangladesh. Health & Social Care in the Community. 2011 Mar 1;19(2):138–47.
  41. 41. DALAL K, ANDREWS J, DAWAD S. CONTRACEPTION USE AND ASSOCIATIONS WITH INTIMATE PARTNER VIOLENCE AMONG WOMEN IN BANGLADESH. Journal of Biosocial Science. 2011/06/16 ed. 2012;44(1):83–94. pmid:21676277
  42. 42. Thorvaldsen G, Islam R. Family planning knowledge and current use of contraception among the Mru indigenous women in Bangladesh: a multivariate analysis. Open Access Journal of Contraception. 2012;3:9–16.
  43. 43. Apanga PA, Kumbeni MT, Ayamga EA, Ulanja MB, Akparibo R. Prevalence and factors associated with modern contraceptive use among women of reproductive age in 20 African countries: a large population-based study. BMJ Open. 2020 Sep 1;10(9):e041103. pmid:32978208
  44. 44. Hossain M, Khan M, Ababneh F, Shaw J. Identifying factors influencing contraceptive use in Bangladesh: evidence from BDHS 2014 data. BMC Public Health. 2018 Jan 30;18(1):192. pmid:29378546
  45. 45. Haque MdA, Dash SK, Chowdhury MAB. Maternal health care seeking behavior: the case of Haor (wetland) in Bangladesh. BMC Public Health. 2016 Jul 18;16(1):592. pmid:27430897
  46. 46. Shahjahan M, Chowdhury HA, Al-Hadhrami AY, Harun GD. Antenatal and postnatal care practices among mothers in rural Bangladesh: A community based cross-sectional study. Midwifery. 2017 Sep 1;52:42–8. pmid:28599136
  47. 47. Kabir M. Adopting Andersen’s behavior model to identify factors influencing maternal healthcare service utilization in Bangladesh. PLoS ONE [Internet]. 2021;16(11). Available from: pmid:34843566
  48. 48. Pervin J, Venkateswaran M, Nu UT, Rahman M, O’Donnell BF, Friberg IK, et al. Determinants of utilization of antenatal and delivery care at the community level in rural Bangladesh. PLoS ONE [Internet]. 2021;16(9). Available from: pmid:34582490
  49. 49. Khan MA. Factors affecting use of contraception in Matlab, Bangladesh. Journal of Biosocial Science. 2008/07/31 ed. 1996;28(3):265–79. pmid:8698707
  50. 50. Hoq MN. Influence of the preference for sons on contraceptive use in Bangladesh: A multivariate analysis. Heliyon. 2020 Oct 1;6(10):e05120. pmid:33083605
  51. 51. Ubaidur RAK. Determinants of fertility in Bangladesh. Biology and society: the journal of the Eugenics Society. 1990;7(1):31–7. pmid:12283180
  52. 52. Chen J, Liu H, Xie Z. Effects of Rural–Urban Return Migration on Women’s Family Planning and Reproductive Health Attitudes and Behavior in Rural China. Studies in Family Planning. 2010 Mar 1;41(1):31–44. pmid:21465720
  53. 53. Lindstrom D, Hernandez C. Internal Migration and Contraceptive Knowledge And Use in Guatemala. International Family Planning Perspectives. 2006;32(3):146–53. pmid:17015244
  54. 54. Toffolutti V, Ma H, Menichelli G, Berlot E, Mencarini L, Aassve A. How the internet increases modern contraception uptake: evidence from eight sub-Saharan African countries. BMJ Glob Health. 2020 Nov;5(11):e002616. pmid:33257416
  55. 55. Ihsan Nulhakim, Omas Bulan Samosir. The Effects of Internet Access on Contraceptive Use in Indonesia (Intercensal Population Survey Data Analysis of 2015). In: Proceedings of the 2nd International Conference on Indonesian Economy and Development (ICIED 2017) [Internet]. Atlantis Press; 2017. p. 65–9. Available from: https://doi.org/10.2991/icied-17.2018.13.
  56. 56. Kabir M. How do traditional media access and mobile phone use affect maternal healthcare service use in Bangladesh? Moderated mediation effects of socioeconomic factors. PLoS ONE [Internet]. 2022;17(4). Available from: pmid:35476825
  57. 57. Waldman L, Ahmed T, Scott N, Akter S, Standing H, Rasheed S. ‘We have the internet in our hands’: Bangladeshi college students’ use of ICTs for health information. Globalization and Health. 2018 Mar 20;14(1):31. pmid:29554929
  58. 58. Turkmani S, Smith R, Tan A, Kamkong C, Anderson R, Sakulku S, et al. An evaluation of the introduction of telehealth for remote antenatal and postnatal contacts in Bangladesh and Lao People’s Democratic Republic during the COVID-19 pandemic. PLOS Global Public Health [Internet]. 2023 May 10;3(5). Available from: pmid:37163506
  59. 59. Islam MM, Gagnon AJ. Use of reproductive health care services among urban migrant women in Bangladesh. BMC Women’s Health. 2016 Mar 9;16(1):15. pmid:26961123
  60. 60. Sudhinaraset M, Diamond-Smith N, Thet MM, Aung T. Influence of internal migration on reproductive health in Myanmar: results from a recent cross-sectional survey. BMC Public Health. 2016 Mar 9;16(1):246. pmid:26961883
  61. 61. Thapa N, Adhikari S, Buudhathoki P. Influence of internal migration on the use of reproductive and maternal health services in Nepal: An analysis of the Nepal Demographic and Health Survey 2016. PLoS ONE [Internet]. 2019 May 9;14(5). Available from: pmid:31071179
  62. 62. The effects of COVID-19 on Sexual and Reproductive Health: A Case Study of Six Countries [Internet]. USAID, UNOCHA; 2021. Available from: https://reliefweb.int/report/world/effects-covid-19-sexual-and-reproductive-health-case-study-six-countries.
  63. 63. Roy N, Amin MdB, Maliha MJ, Sarker B, Aktarujjaman M Hossain E, et al. Prevalence and factors associated with family planning during COVID-19 pandemic in Bangladesh: A cross-sectional study. PLoS ONE [Internet]. 2021 Sep 21;COVID-19 Pandemic (2019–21). Available from: pmid:34547041
  64. 64. Bangladesh Bureau of Statistics. Multiple Indicator Cluster Survey (MICS6) Bangladesh 2019 [Internet]. 2019 [cited 2022 May 12]. Available from: https://mics.unicef.org/surveys.
  65. 65. Multiple Indicator Cluster Survey 2019, Survey Findings Report [Internet]. Bangladesh Bureau of Statistics; 2019. Available from: https://www.unicef.org/bangladesh/media/3281/file/Bangladesh%202019%20MICS%20Report_English.pdf.
  66. 66. UNICEF MICS. Surveys. [cited 2022 May 12]; Available from: https://mics.unicef.org/surveys.
  67. 67. Abdul Goni M, Rahman M. The impact of education and media on contraceptive use in Bangladesh: A multivariate analysis. International journal of nursing practice. 2012 Dec 1;18:565–73. pmid:23181958
  68. 68. Kamal SMM, Hassan CH, Islam MdN. Factors Associated With the Timing of Antenatal Care Seeking in Bangladesh. Asia Pac J Public Health. 2015 Mar 1;27(2):NP1467–80. pmid:24097925
  69. 69. Holz M. Health inequalities in Germany: differences in the ‘Healthy migrant effect’ of European, non-European and internal migrants. Journal of Ethnic and Migration Studies. 2022 Aug 18;48(11):2620–41.
  70. 70. Munton AG. Job Relocation, Stress and the Family. Journal of Organizational Behavior. 1990;11(5):401–6.
  71. 71. Virupaksha HG, Kumar A, Nirmala BP. Migration and mental health: An interface. 2014;5(2):233–9.