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. Author manuscript; available in PMC: 2017 Feb 1.
Published in final edited form as: Matern Child Health J. 2016 Feb;20(2):281–289. doi: 10.1007/s10995-015-1827-6

Assessing the Continuum of Care Pathway for Maternal Health in South Asia and Sub-Saharan Africa

Kavita Singh 1,2, William T Story 1, Allisyn C Moran 3
PMCID: PMC4740215  NIHMSID: NIHMS749348  PMID: 26511130

Abstract

Objective

We assess how countries in regions of the world where maternal mortality is highest - South Asia and Sub-Saharan Africa - are performing with regards to providing women with vital elements of the continuum of care.

Methods

Using recent Demographic and Health Survey data from nine countries including 18,036 women, descriptive and multilevel regression analyses were conducted on four key elements of the continuum of care - at least one antenatal care visit, four or more antenatal care visits, delivery with a skilled birth attendant and postnatal checks for the mother within the first 24 hours since birth. Family planning counseling within a year of birth was also included in the descriptive analyses.

Results

Results indicated that a major drop-out (more than 50%) occurs early on in the continuum of care between the first antenatal care visit and four or more antenatal care visits. Few women (less than 5%) who do not receive any antenatal care go on to have a skilled delivery or receive postnatal care. Women who receive some or all the elements of the continuum of care have greater autonomy and are richer and more educated than women who receive none of the elements.

Conclusion

Understanding where drop-out occurs and who drops out can enable countries to better target interventions. Four or more ANC visits plays a pivotal role within the continuum of care and warrants more programmatic attention. Strategies to ensure that vital services are available to all women are essential in efforts to improve maternal health.

Keywords: Antenatal Care, Continuum of Care, Family Planning, Maternal Health, PNC, Skilled Delivery, South Asia, Sub-Saharan Africa

Introduction

The continuum of care for maternal, newborn and child health, as defined by Kerber et al. [1] indicates that individuals should have access to key services throughout the life cycle including adolescence, pregnancy, childbirth, the postnatal period and childhood. The definition of the continuum of care is sometimes further narrowed to focus on pregnancy, childbirth and the postpartum period in an effort to prevent maternal and newborn mortality [2]. In such cases the goal of the continuum of care is to provide women with the reproductive health care they need before, during and after pregnancy and delivery and to provide newborns with the opportunity to grow into healthy children [14]. Emphasis is placed on a unified integrated approach for mothers and newborns and roles for facility-based care, outreach and community-based or home care throughout the life cycle.

Mothers and newborns are particularly vulnerable during childbirth and the days immediately afterwards, thus the importance of services provided during these times. Many of the estimated 289,000 global maternal deaths [5] occur during labor, delivery and the immediate postpartum period. Neonatal deaths, estimated to be 2.9 million worldwide, now account for 44% of under five mortality [6]. In some settings up to half of newborn deaths occur on the very first day of life [7], and 46% of the estimated 2.6 million stillbirths occur during labor [8]. The continuum of care, thus, encompasses key elements of services including antenatal care (ANC), delivery with a skilled birth attendant (SBA) and postnatal care (PNC) within 24 hours for both mothers and newborns (either in a facility or at home). While many studies have examined ANC and delivery with a SBA (typically defined as with a doctor, midwife or nurse), PNC is a newer area of focus. In addition, postpartum family planning, defined as the initiation of family planning services within a year following childbirth [9], is an important area to consider. It is estimated that family planning has reduced maternal deaths by at least 40% in the past 20 years. [10]. Until recently postpartum family planning has received little attention as an element of the continuum of care, however the latest World Health Organization (WHO) PNC guidelines include a recommendation that family planning counseling and provision should be part of PNC [11]. South Asia and Sub-Saharan Africa are two regions of the world where improvements in the provision of the continuum of care are desperately needed. These two regions, together, account for 85.8% of maternal deaths [5]. Neither region met Millennium Development Goal (MDG) 4, a two-thirds reduction in under-five mortality from 1990 to 2015, nor MDG 5, a three quarters reduction in maternal mortality from 1990 to 2015. In these two regions, large socioeconomic differentials in maternal and child health outcomes exist within countries. For example, poor women are 2.7 times less likely to deliver with a SBA compared to rich women [12].

The main objective of this paper is to quantitatively document coverage of key interventions along the continuum of care in selected countries in South Asia and Sub-Saharan Africa, specifically to assess where drop-outs in the pathway of services occur. A woman may drop out of the continuum of care pathway for many reasons including poverty, lack of access to the next service, preference or cultural factors. Only one known study has presented the continuum of care in a step-wise fashion as was done in this paper. This study, focused on Cambodia, found wide provincial-level variation (from 14% to 96%) in the proportion of women who received all three elements (at least one ANC visit, delivery with a SBA and PNC within 48 hours) of the continuum of care that were studied [2]. Our multi-country study examines four components of the continuum of care, including at least one ANC visit, four or more ANC visits, delivery with a SBA, and PNC within 24 hours for the mother. Family planning counseling within one year of birth was also explored for those countries that have this information available. The second objective of this paper is to document socioeconomic and demographic differentials comparing women who receive all or some elements of the continuum of care versus those who receive no elements.

Data and Methods

Data

Demographic and Health Survey (DHS) survey data were pooled for the nine Maternal and Child Health priority countries for the United States Agency for International Development (USAID) that had recent data (from 2010 onwards) on ANC, delivery with a SBA and PNC. The countries included Bangladesh, Nepal, Pakistan, Ethiopia, Malawi, Rwanda, Senegal, Tanzania and Uganda. All of the countries except Bangladesh also had information on family planning counseling in the past 12 months. Because this study relied on publicly available data with no identifying information, it was reviewed but exempted from needing ethics review approval by the Institutional Review Board (IRB) at the first author’s affiliation.

Each DHS is a nationally representative population-based survey, and in all sampled households, women age 15–49 are eligible to participate in an individual questionnaire. The sample is typically based on a stratified two-stage cluster design whereby the first stage is the sample enumeration area (SEA) or cluster, generally drawn from Census files. In the second phase a sample of households is drawn from a list of households in each SEA. The sample is generally representative at the national level, regional (departments, states) level and by urban/rural residence [13]. Our study was focused on 18,036 women with a birth in the past year. (Table 1).

Table 1.

Demographic and Health Survey year and sample size by country.

Country Year Women of Reproductive Age (WRA) WRA who had a birth in the last year
Bangladesh 2011 17,842 1,547
Ethiopia 2010 16,515 2,394
Malawi 2010 23,020 3,617
Nepal 2011 12,674 1,112
Pakistan 2013 13,557 2,371
Rwanda 2010 13,671 1,409
Senegal 2013 8,636 2,577
Tanzania 2010 10,139 1,511
Uganda 2011 8,674 1,498

Outcome Variables/Elements of the Continuum of Care

There were two questions in the DHS that were used to determine if women received any ANC and if so, how many. Delivery with a SBA was defined as delivery attended by a doctor, midwife or nurse. Questions on PNC and timing of PNC were used to determine if a woman had a check (whether at home or in a facility) within 24 hours of birth. Three questions were used to determine whether a woman received family planning counseling within a year of birth 1) In the last 12 months, were you visited by a health extension worker (HEW)/community health worker (CHW) or others who talked to you about family planning? 2) In the last 12 months have you visited a health facility for care for yourself (or your children)? and 3) Did any staff member/HEW at the health facility speak to you about family planning methods? There were no specific questions on actual provision and counseling on family planning with the context of PNC.

Descriptive Presentation of the Continuum of Care

We analyzed the continuum of care descriptively in three ways. First, data on use of the five services in the continuum – at least one ANC visit, four or more ANC visits, delivery with a SBA, PNC check within 24 hours for the mother, and family planning counseling within one year of birth were presented for each country and region. Data are also presented on early ANC, defined as having an ANC visit within the first trimester. Because information on timing of subsequent visits was unavailable, the early ANC variable was not included in the subsequent analyses because of the difficulty in determining the value of one early ANC visit without subsequent ANC visits (Table 2).

Table 2.

Weighted percentage of each component of the continuum of care for women who had a child in the last year by country and region (N=18,036)

South Asia
Sub-Saharan Africa
Continuum of Care Outcome Bangladesh Nepal Pakistan Total Ethiopia Malawi Rwanda Senegal Tanzania Uganda Total
At Least 1 ANC Visit 68.3 87.9 80.0 78.2 43.2 98.8 98.6 95.2 97.8 96.6 86.7
ANC in First Trimestera NA 51.8 44.9 47.1 9.9 11.2 40.5 58.9 12.7 20.1 23.9
4 or More ANC Visits 27.2 54.2 39.1 38.8 16.5 42.2 36.2 49.5 34.9 47.2 37.5
Skilled Delivery 37.5 52.7 59.7 51.5 11.5 78.9 85.6 63.2 49.0 59.6 57.6
PNC within 24 Hours 31.6 43.4 58.1 46.9 5.1 33.3 15.6 61.6 23.9 29.1 29.3
Postpartum FPb NA 32.5 63.1 51.8 45.6 74.6 75.5 33.7 52.6 43.1 57.1

Note: NA = Data not available for this country

a

Subpopulation without Bangladesh and without missing data is 16,436

b

Subpopulation without Bangladesh and without missing data is 12,679

The second descriptive method was a depiction of the different combinations of maternal health services within the continuum of care that women are receiving by region (Table 3). This table illustrates which elements of the continuum of care are closely aligned and services that are most often missed. Studying combinations is also a method to understand places in the continuum where significant drop-out is occurring.

Table 3.

Weighted percentage of women who received each combination of continuum of care outcomes by region (N=18,036)

Continuum of care outcome combination South Asia Sub-Saharan Africa
ANC1 ANC4 SBA PNC
16.1 12.5
X 18.2 17.9
X 1.4 0.5
X 1.4 0.1
X X 8.5 7.8
X X 2.9 0.2
X X 4.3 18.0
X X 3.2 2.4
X X X 4.7 14.1
X X X 13.7 11.0
X X X 1.2 1.7
X X X X 24.5 13.9

ANC1 = At least 1 ANC visit; ANC4 = 4 or more ANC visits; SBA = Skilled Birth Attendant at Delivery; PNC = Postnatal check-up for the mother within 24 hours after delivery

The third method was an illustration of a visual cascade of services within the continuum of care to indicate the proportions of women who move from one service to the next (Figures 1 and 2). These figures also indicate the points along the continuum where a large amount of drop-out occurs. Data on family planning counseling in the past year was presented in Table 2 and Figure 2 only. The reasons for this are to keep the main focus of the paper on a restricted time period from antenatal care to 24 hours postpartum.

Figure 1.

Figure 1

Women who drop out of the continuum of care through PNC

(a) in all nine countries (N=18,036), (b) in South Asian countries (N=5,030), and (c) in Sub-Saharan African countries (N=13,006)

Figure 2.

Figure 2

Women who drop out of the continuum of care through family planning counseling within one year.

a) in all countries except Bangladesh (N=12,679), (b) in South Asian countries except Bangladesh (N=2,499), and (c) in Sub-Saharan African countries (N=10,180)

Regression Analysis

The data were pooled from all nine countries, and multilevel multinominal logistic regression analysis was used to study socioeconomic and demographic factors associated with receiving all elements of the continuum (at least one ANC visit, four or more ANC visits, delivery with a SBA, and PNC within 24 hours for the mother), some elements, or no elements. A multilevel multinomial logistic regression model was employed using Stata’s generalized linear latent and mixed models (gllamm) command to take advantage of the multilevel structure of the data and to account for clustered nature of the data [14]. By using multilevel analysis it was possible to determine whether, after accounting for differences and similarities among the countries, the variables of interest were associated with the outcome. A random intercepts model approach was used to account for the potential correlation between the continuum of care outcomes within each country by splitting the total error into two error components: one at the household level and one at the country level. Sampling weights were also applied.

Key variables that were studied were maternal age (15–19, 20–24, 25–34, or 35–49), parity (1, 2–3, or 4 or more), education (none, primary, or secondary and greater), area of residence (urban or rural), wealth quintile, and women’s decision-making (defined as being involved in decisions about one’s own health either alone or jointly with a spouse).

Results

Table 1 indicates the number of women included in this study by country. Table 2 contains information on each separate element of the continuum of care by country and region. For each country the most common service received was at least one ANC visit which varied from 43% in Ethiopia to 99% in Malawi. In many countries the proportion of women who received four or more ANC visits was less than half the proportion for one ANC visit. In seven of the nine countries the proportion of women who had a delivery with a SBA was higher than the proportion who had four or more ANC visits. Only 47% of women had their first ANC visit in the first trimester in South Asia, and this proportion was even lower at 24% in Sub-Saharan Africa. The proportion of women who received PNC within 24 hours ranged from 5% in Ethiopia to 63% in Senegal. The proportion of women who received family planning counseling in the past 12 months varied from 33% in Nepal to 76% in Rwanda. Regionally, Sub-Saharan African countries appeared to be performing slightly better in the areas of delivery with a SBA and family planning counseling within a year of birth compared to South Asian countries. On the other hand, South Asian countries appeared to be performing better in the area of PNC for mothers within 24 hours compared to Sub-Saharan African countries at 47% compared to 29%, respectively.

Table 3 illustrates the different combinations of maternal health services along the continuum of care received by women by region. In South Asia 25% of women received all services compared to 14% in Sub-Saharan Africa. The proportion of women receiving none of the services was 16% for women in South Asia and 12% for women in Sub-Saharan Africa. The most common combinations of services were receiving only one ANC visit and no other services and receiving all services except four or more ANC visits. Delivery with a SBA without any ANC was uncommon at less than 5% in South Asia and less than 1% in sub-Saharan Africa. Likewise, PNC was uncommon unless it was combined delivery with a SBA and at least one ANC visit.

Figure 1 depicts a visual presentation of women who remain in the continuum of care from one service to the next as well as the proportion who drop-out at each stage. Overall for the two regions combined 84% of women had at least one ANC visit, but there was a large drop at four or more ANC visits. The proportion of women who received one visit and who also received at least four visits was only 38% (a 55% decrease from the original 85%). Only 28% of women had at least one ANC visit, four ANC visits and delivery with a SBA, but the proportion of women who dropped out between the later two steps was the smallest across the continuum (a 25% decrease). Only 17% of the original sample received all services up to PNC (a 40% decrease from the previous step of delivery with a SBA). Comparisons between the pathways for Asia and Sub-Saharan Africa indicate that more women in the later sample had at least one ANC visit (87% compared to 78%) while more women in the former sample receive all elements of the continuum of care (25% compared to 14%).

Figure 2 presents the same continuum of care pathway, but also includes family planning counseling in the past year. The sample for Figure 2 was smaller because (as mentioned earlier) Bangladesh did not have the needed questions on family planning counseling in the past year. This figure is similar in that there was a large drop between at least one ANC visit and four or more visits. For the two regions combined only 11% of the initial sample received all services in the continuum of care through family planning counseling in the past year. A comparison of the two regions reveals that more women in the Asian sample received all the services through family planning counseling compared to women in the Sub-Saharan African sample (16% versus 9%).

In Table 4 descriptive statistics for the dependent and independent variables for the regression analysis are presented. About 13% of women in the sample received no services along the continuum of care, 70% received some, and 17% received all four services. Seventy-two percent of the sample represented Sub-Saharan Africa and 28% represented South Asia. Eighty percent of the sample resided in rural areas, and the majority of the sample was within the ages of 20–34. Over three-quarters of the women in the sample had more than one child. Over one-third of women in the sample had no education, and 44% were in the two lowest wealth quintiles. Fifty-three percent of women in the sample were involved in decisions about their own health.

Table 4.

Weighted descriptive statistics for women who had a child in the last year by region (N=18,036)

Variables of interest Percent
Dependent variable
Continuum of care
 None 13.5
 Some 69.6
 All 16.9
Independent variables
Region
 South Asia 28.3
 Sub-Saharan Africa 71.7
Age
 15–19 10.6
 20–24 29.5
 25–34 45.3
 35–49 14.6
Parity
 1 21.6
 2–3 37.6
 4 + 40.8
Education level
 None 38.0
 Primary 42.8
 Secondary + 19.2
Residence
 Urban 19.9
 Rural 80.1
Wealth quintile
 Poorest 22.0
 Poorer 22.3
 Middle 21.1
 Richer 18.2
 Richest 16.4
Decision-making about respondent’s health care
 Wife not involved 47.4
 Wife involved 52.6

Table 5 contains the results of the multilevel multinomial logistic regression analysis. The odds ratios are presented for women receiving some of the elements of the continuum of care compared to those who received none, and women who received all of the elements of the continuum of care compared to those who received none. Findings indicated a strong relationship with both education and wealth. Compared to women in the poorest wealth quintile, women in the richest wealth quintile had a significantly greater odds of receiving all of the elements of the continuum versus none (OR= 14.2; CI: 6.97, 28.83; p<0.001). Residence was only significant when comparing women who received all versus none of the elements of the continuum of care with rural women having lower odds of receiving all the elements compared to urban women (OR=0.42; CI: 0.27, 0.65; p<0.001). Overall, women of higher parity had a significantly lower odds of receiving some or all of the elements of the continuum of care compared to primiparous women. Older women had a significantly higher odds of receiving some or all of the elements of the continuum of care compared to younger women. An interaction between age and parity was tested, but found not to be significant. Finally, the decision-making variable was positive in both models but only significant when comparing women who received some versus none of the elements of the continuum of care (OR=1.45; CI: 1.21, 1.71; p<0.05).

Table 5.

Multilevel multinomial logistic regression results of factors associated with the continuum of care (N=18,036)

Continuum of care
Characteristic Some vs none
OR (95% CI)
All vs none
OR (95% CI)
Fixed effects
Age
 15–19 1.00 1.00
 20–24 1.48 (1.30, 1.69)*** 1.75 (1.52, 2.26)***
 25–34 1.35 (1.00, 1.82) 2.09 (1.24, 3.51)**
 35–49 1.41 (1.10, 1.83)** 2.86 (1.88, 4.36)***
Parity
 1 1.00 1.00
 2–3 0.56 (0.44, 0.73)*** 0.35 (0.25, 0.50)***
 4 + 0.45 (0.24, 0.86)* 0.17 (0.08, 0.36)***
Education level
 None 1.00 1.00
 Primary 1.83 (1.53, 2.20)*** 1.45 (1.04, 2.02)*
 Secondary + 3.68 (2.70, 5.01)*** 5.99 (2.68, 13.38)***
Residence
 Urban 1.00 1.00
 Rural 0.81 (0.67, 0.97)* 0.42 (0.27, 0.65)***
Wealth quintile
 Poorest 1.00 1.00
 Poorer 1.44 (1.17, 1.77)*** 1.82 (1.29, 2.56)***
 Middle 2.20 (1.63, 2.99)*** 3.58 (2.13, 6.02)***
 Richer 2.85 (2.16, 3.74)*** 5.89 (3.29, 10.54)***
 Richest 5.79 (4.24, 7.91)*** 14.18 (6.97, 28.83)***
Decision-making about respondent’s health care
 Wife not involved 1.00 1.00
 Wife involved 1.45 (1.21, 1.74)* 1.12 (0.89, 1.42)
Constant 6.95 (3.97, 12.15)*** 2.11 (0.76, 5.82)
Random effectsa
 Country-level variance (SE)b 2.67 (0.52)***
Log likelihood −11321
Log likelihood ratio test (χ2)c 2855.71***
*

p<0.05;

**

p<0.01;

***

p<0.001

a

We assume that the country-level random effects are equal for “Some” and “All” categories; therefore, only one variance estimate is reported for the model.

b

Significance of random effects evaluated by comparing model with a similar one in which random effects have been constrained to be zero.

c

Compared to null model with no covariates.

Discussion

Each element of the continuum of care for maternal health provides essential and potentially lifesaving services, thus the importance of quantitatively assessing the current state of the continuum of care in regions of the world where the burden of maternal mortality is highest. The current study reveals that only a small subset of women in Sub-Saharan Africa and South Asia received all elements of the continuum of care, and these women tended to be the most educated, richest and women with a high degree of autonomy. Services, thus, need to be made more accessible to the poorest and least empowered women.

Facilitating women’s ability to have four or more ANC visits is an important means to strengthen the continuum of care pathway. There was a large drop between the two earliest steps in the continuum of care – any ANC and four or more ANC visits. ANC is important in and of itself and it is also as a crucial link to other services as few women who do not receive ANC go on to have a delivery with a SBA or a PNC check. The connection between ANC and delivery with a SBA has also been found in other studies [1518]. Frequent contact with health providers and educational messages from health workers may partly explain the link between four or more ANC visits and skilled delivery. ANC also provides an opportunity for health workers and pregnant women to discuss birth plans and options for emergency transport in case of a complication [17,19].

Given the pivotal role of four or more ANC visits in the pathway of the continuum of care, low and middle income countries need to promote strategies and interventions to make such care more accessible. Community-based health workers can be used to help track the progress of women along the continuum of care and follow-up with individuals when appointments are missed [20,21]. Mobile phone communication may be a means of sending reminders and educational messages about the importance of ANC. A study in Zanzibar found that a mobile phone intervention was significantly associated with woman having at least four ANC visits [22]. Conditional cash transfers have been found to be effective in removing cost as a barrier to receiving adequate ANC services as well as delivery with a SBA [23,24]. Strategies to make ANC more accessible may also be helpful in making other maternal and newborn services more accessible as well.

PNC and postpartum family planning counseling are relatively newer focus areas for the global health community. While facility-based PNC following delivery with a SBA in a facility is a preferred strategy, home-based PNC for at-home births may be an intermediate strategy as countries work to increase proportions of deliveries with SBAs [25]. Health workers should be trained to include family planning counseling and provision during PNC visits as part of routine care.

Findings from the regression analysis indicated that the most wealthy and educated women as well as women with decision-making autonomy were the most likely to receive some or all elements along the continuum of care. We also found that older women were more likely to access services possibly due to their status in the household. Women of higher parity, however, were less likely to receive all or some of the elements of the continuum of care. These women may have trouble accessing services due to childcare or perhaps relied upon experiences from other pregnancies [26, 27]. Specific targeted messages and strategies may be needed for women of different socioeconomic status, ages and parities, and the promotion of gender equality may be an influential strategy in improving maternal health [2830]. Overall results from the regression analysis support current global initiatives on increasing access to services for all women. USAID has outlined ten strategic drivers to end preventable maternal mortality and driver two is improving equity of access to and use of services by the most vulnerable [31]. Similarly the WHO’s most recent recommendation on improving maternal and newborn health stress community mobilization and participation as well as community-organized transport schemes and partnerships with TBAs [32].

There were several limitations to this analysis. First, it was not possible to study the quality of services. For example, information about the quality of the ANC visits and whether all recommended components of care were provided at each visit was not available [33]. Another limitation was the inability to study the exact timing of the family planning counseling, and the fact that due to data availability we could only study counseling and not use of family planning. Furthermore, this study was descriptive and cross-sectional thus it was subject to recall bias, though such bias was minimized by focusing on women with a recent birth. Future studies should focus on subnational level differences so countries can assess which geographic or administrative areas need the most focus [2]. Despite the limitations findings from this study provide specific recommendations on how to strengthen the continuum of care in efforts to improve maternal health.

Significance.

A continuum of care approach for maternal health is being championed as a means to ensure women receive essential services during pregnancy, delivery and the postpartum period. This study, focused on countries in South Asia and Sub-Saharan Africa, is among the first that presents the continuum of care as pathway in order to assess where drop-out is occurring and to understand the characteristics of women not receiving the vital services they need.

Acknowledgments

This study was funded by the United States Agency for International Development (USAID) through a cooperative agreement (GHA-A-00-08-00003-00) with MEASURE Evaluation. The views expressed in this paper do not necessarily reflect those of USAID. This work was also supported in part by an R24 Center Grant (R24 HD050924) and a T32 Training Grant (T32 HD007168) to the Carolina Population Center at the University of North Carolina at Chapel Hill.

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