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. 2014 Dec 11;11:86. doi: 10.1186/1742-4755-11-86

Practices and determinants of delivery by skilled birth attendants in Bangladesh

Nazrul Islam 1,, Mohammad Tajul Islam 2,#, Yukie Yoshimura 2,#
PMCID: PMC4292816  PMID: 25495451

Abstract

Introduction

Utilization of Skilled Birth Attendants (SBAs) at birth is low (20%) in Bangladesh. Birth attendance by SBAs is considered as the “single most important factor in preventing maternal deaths”. This paper examined the practices and determinants of delivery by SBAs in rural Bangladesh.

Methods

The data come from the post-intervention survey of a cluster-randomized community controlled trial conducted to evaluate the impact of limited post-natal care (PNC) services on healthcare seeking behavior of women with a recent live birth in rural Bangladesh (n = 702). Multivariable logistic regression model was used to identify the potential determinants of delivery by SBAs.

Results

The respondents were aged between 16 and 45, with the mean age of 24.41 (± 5.03) years. Approximately one-third (30.06%) of the women had their last delivery by SBAs. Maternal occupation, parity, complications during pregnancy and antenatal checkup (ANC) by SBAs were the significant determinants of delivery by SBAs. Women who took antenatal care by SBAs were 2.62 times as likely (95% CI: 1.66, 4.14; p < 0.001) to have their delivery conducted by SBAs compared to those who did not, after adjusting for other covariates.

Conclusion

Our findings suggest that ANC by SBAs and complications during pregnancies are significant determinants of delivery by SBAs. Measure should be in place to promote antenatal checkup by SBAs to increase utilization of SBAs at birth in line with achieving the Millennium Development Goal-5. Future research should focus in exploring the unmet need for, and potential barriers in, the utilization of delivery by SBAs.

Electronic supplementary material

The online version of this article (doi:10.1186/1742-4755-11-86) contains supplementary material, which is available to authorized users.

Keywords: Skilled birth attendants (SBAs), Bangladesh, Determinant(s), Practice(s)

Background

Maternal deaths across the globe have been estimated to be approximately 289,000 in 2013, while the death toll of newborn within the first 4 weeks of birth has reached at 3.6 million [13].

Most of the complications related to pregnancy and childbirth are unpredictable, and take place around the time of delivery and postpartum period. This is why, access to Skilled Birth Attendants (SBAs) is strongly recommended for all the pregnant women so as to make sure a normal delivery is conducted well, related complications are recognized early and referred immediately to the appropriate healthcare facilities [4]. Birth attendance by SBAs is considered as the “single most important factor in preventing maternal deaths” [5]. Delivery attendance by SBAs is also very important in preventing stillbirths and improving newborn survival [4, 6]. The proportion of births attended by SBAs is one of the two indicators of the progress toward achieving Millennium Development Goal (MDG)- 5 [7].

The utilization of SBAs at birth is quite low in Bangladesh. About one in every five deliveries is attended by SBAs; the proportion is even lower in slum and tribal areas [8]. Home delivery assisted mainly by Traditional Birth Attendants (TBAs) is as high as 71% in Bangladesh [9, 10]. Government of Bangladesh initiated the Community-based Skilled Birth Attendant (CSBA) program to increase accessibility to skilled delivery at home in 2003 with the target to train 13,500 government field staff as CSBAs. As of June 2014, nearly 9,000 government CSBAs have been trained. Besides, some of the development partners have also been supporting the CSBA training to the private candidates, especially to cover the hard-to-reach areas. Recent evaluation of the CSBA program indicates that even though CSBAs are available in the rural areas, their utilization is low in the community [11]. It is, therefore, imperative to examine the determinants of delivery by SBAs so as to understand well the areas that require further policy reform and programmatic interventions in line with progress toward MDG-5. Determinants of delivery by SBAs identified in previous studies have been inconsistent, and there is paucity of information in Bangladeshi context. Current paper aims at identifying the determinants of delivery by SBAs in rural Bangladesh.

Methods

The data analyzed in this study originated from the post-intervention survey of a cluster-randomized community trial (postnatal care intervention trial) conducted in Monohardi, a rural upazila (sub-district) of Narsingdi district, Bangladesh. The objective of the trial was to test the effectiveness of engaging community volunteers, working under the community support groups, in increasing the coverage of postnatal care by skilled healthcare providers. The study was implemented by the Government under the Safe Motherhood Promotion Project (SMPP) [12], supported by Japan International Cooperation Agency (JICA) in collaboration with a non-government organization, CARE-Bangladesh. Out of 11 unions (sub sub-district) of the upazila, 6 were randomly selected (3 for intervention and 3 for comparison) for the study. The intervention was implemented in the villages where community support groups were present.

Total population of the intervention and comparison areas was 42,370. The expected annual births were estimated as 957 based on crude birth rate of 22.6 per 1,000 population [9]. However, 702 women who had a live birth between November 2010 and October 2011 (study population) were identified through household visits and were interviewed by the data collectors.

Twelve female interviewers were recruited for the data collection. The interviewers were graduates from different disciplines with prior experience in data collection. Supervision and monitoring of data collection were done by the 4 SMPP project staff. All the data collectors and supervisors were trained for three days on the contents of the questionnaire, and data collection techniques. However, they were blinded about the objectives of the study. The Principal Investigator of the PNC study coordinated and supervised the whole efforts. Data were collected between 20 December 2011 and 1 January 2012.

A structured pre-coded questionnaire was used for face-to-face interview. This paper analyzed the data to explore the delivery care practices and factors associated with the delivery by SBAs in rural Bangladesh.

Descriptive statistics were presented to give an overview of the study participants. Bivariate analysis was done to find association between the explanatory variables and the outcome variable. Delivery by SBAs was defined as delivery conducted by qualified doctors, nurses, Community-based Skilled Birth Attendants (CSBAs), and Family Welfare Visitors (FWVs).

Odds ratio (OR) and 95% Confidence Intervals (CI) were calculated as effect measure. The variables found to be associated with the dependent variable at 10% level of significance in bivariate analysis was included in the multivariable Logistic Regression model to adjust for confounding effects after checking for multicollinearity. All the tests were two-sided, and a p-value of less than 0.05 was considered as significant. Data were analyzed in SPSS (version 20.0), and STATA (SE 12.1) [13].

Ethical consideration

This study used secondary data generated in an intervention study. Both the intervention and analysis of data for this study were approved by the Directorate General of Health Services (DGHS). DGHS is the implementing and coordinating body of all the health related activities in Bangladesh under the Ministry of Health and Family Welfare. Verbal informed consent was obtained from the respondents before data collection.

Results

In total, 702 women were interviewed who had a live birth between November 2010 and October 2011. Approximately one-third (30.06%) of the respondents had their last delivery by SBAs. Table 1 summarizes the socio-demographic characteristics of the respondents. The mean age of the women was 24.41 (± 5.03) years, mostly between the ages of 20 and 34 years. Approximately 14% experienced teenage pregnancy. Almost 90% of the respondents were Muslim while 95% were housewives. More than 60% of the participants were educated up to secondary level and beyond, while about 15% never attended school. About half the participants’ husbands completed primary schooling and continued to secondary education; however, a quarter of them did not attend school ever. Monthly family income ranged between 1,500 and 80,000 BDT (Bangladeshi Taka; 1 USD ≈ 78.55 BDT) with median income of 8,000 BDT (≈US$ 100). About 40% of the respondents had one or no child before this pregnancy. About 60% of all the respondents took antenatal care (ANC) by SBAs, and almost a quarter (n = 169) of the respondents experienced complications during pregnancy. About three-fourth (73.65%; n = 517) of the women had their delivery at home while 84.76% (n = 595) had normal vaginal delivery.Figure 1 shows the antenatal care practice of the respondents. A substantial proportion (>40%) of women did not seek antenatal care from SBAs, or did not seek for any antenatal care at all. Figure 2 demonstrates types of complications the respondents experienced during the last pregnancy. Prolonged labor (labor pain for more than 12 hours) was the single leading complication. Figure 3 shows that a substantial proportion of delivery was conducted by traditional birth attendants (TBAs).

Table 1.

Socio-demographic characteristics of the respondents

Characteristics No. %
Age in years
 <20 98 13.96
 20-34 563 80.20
 ≥35 41 5.84
Mean (SD) 24.41 (5.03)
Religion
 Islam 625 89.03
 Hinduism 77 10.97
Women’s education
 No education 105 14.96
 1-5 years 164 23.36
 ≥6 years 433 61.68
Women’s occupation
 Housewife 667 95.01
 Others 35 4.99
Husband’s education
 No education 180 25.90
 1-5 years 177 25.47
 ≥6 years 338 48.63
Husband’s occupation
 Laborer 430 61.25
 Jobs including professionals 68 9.69
 Business/Living abroad 204 29.06
Monthly family income (BDT)
 ≤ 6,000 196 27.92
 6,001-10,000 313 44.59
 >10,000 193 27.49
Parity (Number of children)
 0 or 1 276 39.32
 2 or more 426 60.68
Any ANC by SBAs 409 59.02
Complications faced during pregnancy 169 24.07

BDT = Bangladeshi Taka; ANC = Antenatal Care; SBAs = Skilled Birth Attendants.

Figure 1.

Figure 1

Antenatal care provider to the respondents (multiple responses were there).

Figure 2.

Figure 2

Complications experienced during delivery by the participants (multiple responses were there).

Figure 3.

Figure 3

Delivery providers.

Associations between respondents’ socio-demographic characteristics and pregnancy-related behaviors (e.g., antenatal care by skilled healthcare providers, pregnancy-related complications etc.) and delivery by skilled birth attendants are summarized in Table 2. It shows that women’s occupation, husband’s occupation, parity, antenatal care (ANC) by SBAs, and complication during pregnancy were significantly associated with delivery by SBAs in bivariate analysis.

Table 2.

Association between socio-demographic characteristics and pregnancy-related behavior and delivery by skilled birth attendants

Delivery by SBAs
Characteristics Yes (n = 211) No (n = 491) OR (95% CI) p-value
Age in years
 <20 33 (15.64) 65 (13.24) 1.22 (0.78, 1.93) 0.384
 20-34 165 (78.20) 398 (81.06) Ref.
 ≥35 13 (6.16) 28 (5.70) 1.12 (0.57, 2.22) 0.745
Religion
 Islam 188 (89.10) 437 (89.00) Ref.
 Hinduism 23 (10.90) 54 (11.00) 0.99 (0.59, 1.66) 0.970
Women’s education
 No education 23 (10.90) 82 (16.70) Ref.
 1-5 years 29 (13.74) 135 (27.49) 0.77 (0.42, 1.41) 0.393
 ≥6 years 159 (75.36) 274 (55.80) 2.07 (1.25, 3.42) 0.005
Women’s occupation
 Housewife 190 (90.05) 477 (97.15) Ref.
 Others 21 (9.95) 14 (2.85) 3.77 (1.88, 7.56) <0.001
Husband’s education
 No education 34 (16.11) 146 (30.17) Ref.
 1-5 years 43 (20.38) 134 (27.69) 1.38 (0.83, 2.29) 0.215
 ≥6 years 134 (63.51) 204 (42.15) 2.82 (1.83, 4.35) <0.001
Husband’s occupation
 Laborer 93 (44.08) 337 (68.64) Ref.
 Professionals 36 (17.06) 32 (6.52) 4.07 (2.40, 6.92) <0.001
 Business/Living abroad 82 (38.86) 122 (24.85) 2.44 (1.70, 3.50) <0.001
Monthly family income (BDT)
 ≤ 6,000 42 (19.91) 154 (31.36) Ref.
 6,001-10,000 83 (39.34) 230 (46.84) 1.32 (0.87, 2.02) 0.195
>10,000 86 (40.76) 107 (21.79) 2.95 (1.89, 4.59) <0.001
Parity (Number of children)
 0 or 1 102 (48.34) 174 (35.44) Ref.
 2 or more 109 (51.66) 317 (64.56) 0.59 (0.42, 0.81) 0.001
Any ANC by SBAs
 Yes 164 (78.47) 245 (50.62) 3.56 (2.44, 5.17) <0.001
 No 45 (21.53) 239 (49.38) Ref.
Complication during pregnancy
 Yes 121 (57.35) 48 (9.78) 12.41 (8.29, 18.58) <0.001
 No 90 (42.65) 443 (90.22) Ref.

The results of multivariable logistic regression are summarized in Table 3. It shows that, after adjustment for covariates in the model, the variables found to be significantly associated with delivery by SBAs were non-housewives (OR: 3.08; 95% CI: 1.27, 7.51; p = 0.013), having 2 or more children (OR: 0.61; 95% CI: 0.40, 0.93; p = 0.023); ANC by SBAs (OR: 2.62; 95% CI: 1.66, 4.14; p < 0.001), and complications during pregnancy (OR: 15.00; 95% CI: 9.39, 23.95; p < 0.001).

Table 3.

Determinants of delivery by skilled birth attendants from multivariable logistic regression

Delivery by SBAs
Characteristics Adjusted OR (95% CI) p-value
Women’s education
 No education Ref.
 1-5 years 0.54 (0.25, 1.20) 0.131
 ≥6 years 0.98 (0.47, 2.03) 0.950
Women’s occupation
 Housewife Ref.
 Others 3.08 (1.27, 7.51) 0.013
Husband’s education
 No education Ref.
 1-5 years 0.98 (0.51, 1.90) 0.958
 ≥6 years 1.36 (0.73, 2.54) 0.335
Husband’s occupation
 Laborer Ref.
 Professionals 1.87 (0.92, 3.82) 0.086
 Business/Living abroad 1.63 (1.02, 2.61) 0.043
Monthly family income (BDT)
 ≤ 6,000 Ref.
 6,001-10,000 1.36 (0.79, 2.35) 0.269
 >10,000 2.32 (1.26, 4.29) 0.007
Parity (Number of children)
 0 or 1 Ref.
 2 or more 0.61 (0.40, 0.93) 0.023
Any ANC by SBAs
 Yes 2.62 (1.66, 4.14) <0.001
 No Ref.
Complication during pregnancy
 Yes 15.00 (9.39, 23.95) <0.001
 No Ref.

Discussion

In this study, proportion of women who took any antenatal care by SBAs was 59.02%, which is higher than the earlier estimates of 48.7% in 2007 and 46.4% in 2011 [9, 14]. Approximately one-third (30.06%) of the participants had their last delivery by SBAs which is higher than the 2006 estimates of 14%, 2007 estimates of 13.2% [14], 2009 estimates of 19.2% [15], and 2011 estimates of 25.2%, but little less than another estimates of 35% in 2006 [16]. Several factors have been identified as potential determinants of delivery by SBAs. In our study, maternal occupation, parity, complications during pregnancy and antenatal checkup by SBAs were statistically significant determinants of delivery by SBAs. Monthly family income was significant only when it was more than 10,000 BDT/month. Some of our findings are compatible with the findings from other studies while others are not. For example, complications during pregnancy, ANC visits (2 or more), and asset quintile were found to be significant determinants for delivery by SBAs (latter showing a dose–response relationship) in Bangladesh, while women’s education was not found to be a significant determinant [16]. All these findings are compatible with our study. However, this study [16] also found that religion is a significant determinant of delivery by SBAs which is not compatible with our findings.

Maternal age was found either to have no effect or to increase the utilization of SBAs at birth in several studies. Marital status was found to have no association with delivery by SBAs [1719]. Studies also identified racial [20], and ethnic and/or religious [2126] disparities in the utilization of SBAs, unlike the findings of our study. Many studies found women’s and their husbands’ education as potential determinants of delivery by SBAs [4, 27], which was not evident in our study, nor in another study by Anwar et al. [16]. Other significant determinants of delivery by SBAs include ANC [4, 2729], parity/birth order [30, 31], complications during pregnancy [4, 27], and maternal occupation [32] among others.

ANC has also been found to be associated with increased institutional delivery, and improved perinatal survival [33]. Physical accessibility to skilled birth attendants has also been identified as potential determinant of delivery by SBAs [4]. However, data on these are missing in our study which is one of the major limitations of our study. Other possible reasons for poor utilization of SBAs during delivery may include: insufficient community awareness regarding the usefulness of utilization of SBAs during the delivery, lack of appropriate information with regard to availability and delivery services provided by SBAs etc. [27, 29]. However, health information awareness program targeting women (and their husbands) may not be sufficient in improving the utilization of SBAs since women, and in most cases even their husbands, are not included in decision-making process even when the issues primarily pertain to them [27]. Mothers and mother-in-laws should also be included in the awareness campaign since they are often the decision makers in the issues related to delivery [27].

Of all the deliveries by SBA, majority (85.78%) were conducted at the health facilities. Only 5.8% of the home deliveries were conducted by SBAs. Government of Bangladesh introduced CSBA training program in 2003 in collaboration with World Health Organization (WHO) and United Nations Population Fund (UNFPA) [11]. The goal of the program is to provide at least 2 CSBAs in each of the unions. About 7,000 CSBAs have been trained until 2012. The CSBA evaluation conducted in 2011 shows that the utilization of CSBAs are poor for home deliveries. Several problems have been identified for this, which include busy schedule of the service providers trained as CSBA, inadequate monitoring and supervision, and lack of community awareness. Other studies also indicate lack of awareness of community about CSBA in the locality. These findings indicate that promotional activities are required to improve utilization of CSBAs by the community for home delivery.

Finally, according to Millennium Development Goal (MDG) 5 target set for Bangladesh by 2015, delivery by skilled birth attendants has to be increased to 50%, and (at least one) antenatal care coverage has to be increased to 71.2%. However, if the government has to achieve the MDG target of at least 50% deliveries by SBAs, either institutional delivery has to be increased or home delivery by SBA has to be increased. About 3 million births take place annually in Bangladesh. A 20% increase of institutional delivery means that at least an additional 600,000 deliveries need to be conducted at the health facilities. Though rural health facilities, in general, are under-utilized, the health facilities are not prepared to accommodate such a huge number of deliveries at this moment. On the other hand, to promote home delivery by SBA, mass awareness of community and physical accessibility to CSBAs need to be considered. The findings from this study, supported by those from other studies, suggest that Bangladesh has to exert much concerted effort to meet the indicators of MDG-5 [3436].

Conclusion

The proportion of deliveries by SBAs was similar to the estimates of nationally representative survey findings though the proportion of women received any ANC was higher. Maternal occupation, parity, complications during pregnancy and antenatal checkup by SBAs were the significant determinants of delivery by SBAs. Promotion of quality antenatal care in the community may improve the delivery by skilled providers in rural areas of Bangladesh. Further research to explore the unmet need for, and potential barriers in, the utilization of skilled birth attendants for delivery is recommended.

Acknowledgements

Japan International Cooperation Agency (JICA) provided financial and technical support to the whole project.

Abbreviations

ANC

Antenatal Care

CI

Confidence Intervals

SACMO

Sub-assistant Community Medical Officer

CSBA

Community Skilled Birth Attendant

FWV

Family Welfare Visitor

JICA

Japan International Cooperation Agency

MBBS

Bachelor of Medicine and Surgery

MDG

Millennium Development Goal

PNC

Postnatal Care

SBA

Skilled Birth Attendant

TBA

Traditional Birth Attendant

UNFPA

United Nations Population Fund

WHO

World Health Organization.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Footnotes

Mohammad Tajul Islam and Yukie Yoshimura contributed equally to this work.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All the authors contributed substantially in this manuscript. NI, TI, and YY conceptualized the paper; TI and YY were actively involved in project implementation and data collection; NI and TI did the data analysis; NI wrote the first draft of this manuscript; all three authors revised and provided significant intellectual contribution to the final version of the manuscript. All authors read and approved the final manuscript.

Contributor Information

Nazrul Islam, Email: nazrul.islam@ubc.ca.

Mohammad Tajul Islam, Email: abc.taj@gmail.com.

Yukie Yoshimura, Email: yoshiboubd@gmail.com.

References

  • 1.Lawn JE, Kerber K, Enweronu-Laryea C, Cousens S. 3.6 million neonatal deaths–what is progressing and what is Not? Semin Perinatol. 2010;34:371–386. doi: 10.1053/j.semperi.2010.09.011. [DOI] [PubMed] [Google Scholar]
  • 2.Starrs AM. Safe motherhood initiative: 20 years and counting. Lancet. 2006;368:1130–1132. doi: 10.1016/S0140-6736(06)69385-9. [DOI] [PubMed] [Google Scholar]
  • 3.WHO, UNICEF, UNFPA, The World Bank, United Nations: Trends in maternal mortality . 1990 to 2013: Estimates by WHO, UNICEF, UNFPA, The World Bank and the United Nations Population Division. Geneva, Switzerland: World Health Organization; 2014. [Google Scholar]
  • 4.Gabrysch S, Campbell O. Still too far to walk: literature review of the determinants of delivery service use. BMC Pregnancy Childbirth. 2009;9:34. doi: 10.1186/1471-2393-9-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.World Health Organization . Reduction of Maternal Mortality: A Joint WHO/UNFPA/UNICEF/World Bank Statement. Geneva, Switzerland: World Health Organization; 1999. [Google Scholar]
  • 6.Lawn JE, Cousens S, Zupan J. 4 million neonatal deaths: When? Where? Why? Lancet. 2005;365:891–900. doi: 10.1016/S0140-6736(05)71048-5. [DOI] [PubMed] [Google Scholar]
  • 7.Vieira C, Portela A, Miller T, Coast E, Leone T, Marston C. Increasing the use of skilled health personnel where traditional birth attendants were providers of childbirth care: a systematic review. PLoS ONE. 2012;7:e47946. doi: 10.1371/journal.pone.0047946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Bangladesh Bureau of Statistics-UNICEF . Key Findings: Multiple Indicators Clusters Survey Bangladesh 2006. Dhaka: Bangladesh Bureau of Statistics and UNICEF; 2007. [Google Scholar]
  • 9.National Institute of Population Research and Training . Bangladesh Demographic and Health Survey 2011. Calverton, Maryland, USA: National Institute of Population Research and Training (NIPORT), Dhaka, Bangladesh; Mitra and Associates, Dhaka, Bangladesh; MEASURE DHS, ICF International; 2013. [Google Scholar]
  • 10.Rowen T, Prata N, Passano P. Evaluation of a traditional birth attendant training programme in Bangladesh. Midwifery. 2011;27:229–236. doi: 10.1016/j.midw.2009.06.003. [DOI] [PubMed] [Google Scholar]
  • 11.Directorate General of Health Services Bangladesh, United Nations Population Fund Bangladesh . Evaluation of the Community Based Skilled Birth Attendant (CSBA) Programme-Bangladesh. Government of the People’s Republic of Bangladesh: Directorate General of Health Services, Ministry of Health and Family Welfare; 2011. [Google Scholar]
  • 12.Kamiya Y, Yoshimura Y, Islam MT. An impact evaluation of the safe motherhood promotion project in Bangladesh: evidence from Japanese aid-funded technical cooperation. Soc Sci Med. 2013;83:34–41. doi: 10.1016/j.socscimed.2013.01.035. [DOI] [PubMed] [Google Scholar]
  • 13.StataCorp . Stata Statistical Software: Release 12. College Station, TX: StataCorp LP; 2011. [Google Scholar]
  • 14.National Institute of Population Research and Training . Bangladesh Demographic and Health Survey 2007. Dhaka: National Institute of Population Research and Training (NIPORT), Dhaka, Bangladesh; Mitra and Associates, Dhaka, Bangladesh; MEASURE DHS, ICF International, Calverton, Maryland, USA; 2009. [Google Scholar]
  • 15.Bangladesh Bureau of Statistics-UNICEF . Progotir Pathey 2009. Dhaka: Bangladesh Bureau of Statistics and UNICEF; 2010. Multiple Indicators Clusters Survey Bangladesh 2009. [Google Scholar]
  • 16.Anwar I, Sami M, Akhtar N, Chowdhury M, Salma U, Rahman M, Koblinsky M. Inequity in maternal health-care services: evidence from home-based skilled-birth-attendant programmes in Bangladesh. Bull World Health Organ. 2008;86:252–259. doi: 10.2471/BLT.07.042754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Gyimah SO, Takyi BK, Addai I. Challenges to the reproductive-health needs of African women: on religion and maternal health utilization in Ghana. Soc Sci Med. 2006;62:2930–2944. doi: 10.1016/j.socscimed.2005.11.034. [DOI] [PubMed] [Google Scholar]
  • 18.Mekonnen Y, Mekonnen A. Factors influencing the use of maternal healthcare services in Ethiopia. J Health Popul Nutr. 2003;21:374–382. [PubMed] [Google Scholar]
  • 19.Nwakoby BN. Use of obstetric services in rural Nigeria. J R Soc Promot Health. 1994;114:132–136. doi: 10.1177/146642409411400304. [DOI] [PubMed] [Google Scholar]
  • 20.Burgard S. Race and pregnancy-related care in Brazil and South Africa. Soc Sci Med. 2004;59:1127–1146. doi: 10.1016/j.socscimed.2004.01.006. [DOI] [PubMed] [Google Scholar]
  • 21.Elo IT. Utilization of maternal health-care services in Peru: the role of women’s education. Health Transit Rev. 1992;2:49–69. [PubMed] [Google Scholar]
  • 22.Glei DA, Goldman N, Rodríguez G. Utilization of care during pregnancy in rural Guatemala: does obstetrical need matter? Soc Sci Med. 2003;57:2447–2463. doi: 10.1016/S0277-9536(03)00140-0. [DOI] [PubMed] [Google Scholar]
  • 23.Brentlinger PE, Javier Sánchez-Pérez H, Arana Cedeño M, Guadalupe Vargas Morales L, Hernán MA, Micek MA, Ford D. Pregnancy outcomes, site of delivery, and community schisms in regions affected by the armed conflict in Chiapas, Mexico. Soc Sci Med. 2005;61:1001–1014. doi: 10.1016/j.socscimed.2004.12.022. [DOI] [PubMed] [Google Scholar]
  • 24.De Broe S. Diversity in the use of pregnancy-related care among ethnic groups in Guatemala. J Fam Plann Reprod Health Care. 2005;31:199–205. doi: 10.1783/1471189054483889. [DOI] [PubMed] [Google Scholar]
  • 25.Short SE, Zhang F. Use of maternal health services in rural China. Popul Stud. 2004;58:3–19. doi: 10.1080/0032472032000175446. [DOI] [PubMed] [Google Scholar]
  • 26.Celik Y, Hotchkiss DR. The socio-economic determinants of maternal health care utilization in Turkey. Soc Sci Med. 2000;50:1797–1806. doi: 10.1016/S0277-9536(99)00418-9. [DOI] [PubMed] [Google Scholar]
  • 27.Paul BK, Rumsey DJ. Utilization of health facilities and trained birth attendants for childbirth in rural Bangladesh: an empirical study. Soc Sci Med. 2002;54:1755–1765. doi: 10.1016/S0277-9536(01)00148-4. [DOI] [PubMed] [Google Scholar]
  • 28.Gage AJ, Guirlène Calixte M. Effects of the physical accessibility of maternal health services on their use in rural Haiti. Population Studies. 2006;60:271–288. doi: 10.1080/00324720600895934. [DOI] [PubMed] [Google Scholar]
  • 29.Anwar AI, Killewo J, Chowdhury M, Dasgupta S. Bangladesh: Inequalities in Utilization of Maternal Health Care Services: Evidence from Matlab. Washington, DC: World Bank; 2004. [Google Scholar]
  • 30.Navaneetham K, Dharmalingam A. Utilization of maternal health care services in Southern India. Soc Sci Med. 2002;55:1849–1869. doi: 10.1016/S0277-9536(01)00313-6. [DOI] [PubMed] [Google Scholar]
  • 31.Stephenson R, Tsui AO. Contextual influences on reproductive health service use in Uttar Pradesh, India. Stud Fam Plann. 2002;33:309–320. doi: 10.1111/j.1728-4465.2002.00309.x. [DOI] [PubMed] [Google Scholar]
  • 32.Addai I. Determinants of use of maternal-child health services in rural Ghana. J Biosoc Sci. 2000;32:1–15. [PubMed] [Google Scholar]
  • 33.Pervin J, Moran A, Rahman M, Razzaque A, Sibley L, Streatfield P, Reichenbach L, Koblinsky M, Hruschka D, Rahman A. Association of antenatal care with facility delivery and perinatal survival - a population-based study in Bangladesh. BMC Pregnancy Childbirth. 2012;12:111. doi: 10.1186/1471-2393-12-111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Chowdhury S, Banu L, Chowdhury T, Rubayet S, Khatoon S. Achieving millennium development goals 4 and 5 in Bangladesh. BJOG. 2011;118:36–46. doi: 10.1111/j.1471-0528.2011.03111.x. [DOI] [PubMed] [Google Scholar]
  • 35.Koblinsky M, Anwar I, Mridha MK, Chowdhury ME, Botlero R. Reducing maternal mortality and improving maternal health: Bangladesh and MDG 5. J Health Popul Nutr. 2008;26:280. doi: 10.3329/jhpn.v26i3.1896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Government of the People’s Republic of Bangladesh . The Millennium Development Goals: Bangladesh Progress Report 2011. Dhaka: General Economics Division, Bangladesh Planning Commission, Government of the People’s Republic of Bangladesh; 2012. [Google Scholar]

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