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Published in final edited form as: Int J Gynaecol Obstet. 2014 Jun 14;127(1):35–40. doi: 10.1016/j.ijgo.2014.05.002

Acknowledging HIV and malaria as major causes of maternal mortality in Mozambique

Kavita Singh a,b,*, Allisyn Moran c, William Story a, Patricia Bailey d, Leonardo Chavane e
PMCID: PMC4175628  NIHMSID: NIHMS621080  PMID: 24981974

Abstract

Objective

To review national data on HIV and malaria as causes of maternal death and to determine the importance of looking at maternal mortality at a subnational level in Mozambique.

Methods

Three national data surveys were used to document HIV and malaria as causes of maternal mortality and to assess HIV and malaria prevention services for pregnant women. Data were collected between 2007 and 2011, and included population-level verbal autopsy data and household survey data.

Results

Verbal autopsy data indicated that 18.2% of maternal deaths were due to HIV and 23.1% were due to malaria. Only 19.6% of recently pregnant women received at least two doses of sulfadoxine-pyrimethamine for intermittent preventive treatment, and only 42.3% of pregnant women were sleeping under an insecticide-treated net. Only 37.5% of recently pregnant women had been counseled, tested, and received an HIV test result. Coverage of prevention services varied substantially by province.

Conclusion

Triangulation of information on cause of death and coverage of interventions can enable appropriate targeting of maternal health interventions. Such information could also help countries in Sub-Saharan Africa to recognize and take action against malaria and HIV in an effort to decrease maternal mortality.

Keywords: HIV, Malaria, Maternal health, Maternal mortality, Mozambique

1. Introduction

WHO estimates that 82% of maternal deaths worldwide are due to direct causes such as hemorrhage, sepsis, pre-eclampsia or eclampsia, obstructed labor, and unsafe abortion, whereas approximately 18% are due to indirect causes, including chronic and infectious diseases [1]. These global estimates overshadow the importance of infectious disease as a major cause of maternal mortality in some regions of the world.

HIV and maternal mortality have been called intersecting epidemics in Sub-Saharan Africa—a region that contains 14% of the world's population but accounts for 59% of maternal deaths [2], and is home to over 90% of the global population of pregnant women and children with HIV [3]. It has been estimated that, in regions where the prevalence of HIV among pregnant women is 15% or more, HIV may be responsible for up to 50% of all pregnancy-related deaths [4]. In some African settings, HIV/AIDS is responsible for more maternal deaths than are direct obstetric causes [5]. HIV/AIDS can lead to maternal mortality through manifestations of the disease and through opportunistic infections such as Pneumocystis carinii pneumonia and tuberculosis. HIV also contributes to maternal mortality by increasing the likelihood of pregnancy complications, such as anemia and puerperal sepsis [57].

Increasing evidence indicates that malaria is also a major cause of maternal mortality. In a malaria-endemic region of rural Tanzania, for example, cerebral malaria accounts for 44% of all maternal deaths [8]. Pregnant women who are HIV-positive are also at increased risk of malaria [6,9]. Malaria may contribute to maternal death through resulting anemia [10] and is of concern in both high (or stable) and low (or epidemic) transmission areas; women living in low-transmission areas have little acquired immunity against malaria.

Prevention and treatment of infectious causes of maternal mortality are important to reduce the number of maternal deaths. Routine prenatal care is a means to provide pregnant women with vital health services, including intermittent preventive treatment of malaria (IPTp), education on use of insecticide-treated nets (ITNs), ITN distribution, and HIV counseling and testing. The current WHO guidelines for IPTp recommend four doses of sulfadoxine-pyrimethamine during prenatal care in areas that have moderate or high transmission of malaria [11]. Encouraging pregnant women to sleep under ITNs is another key malaria prevention strategy because an ITN serves as a protective barrier. An essential step in both HIV prevention and treatment is getting individuals tested and aware of their status. For pregnant women, testing during prenatal care is a first step in linking women to services for the prevention of mother-to-child transmission of HIV and life-long antiretroviral treatment.

The promotion of skilled delivery in a health facility is a key strategy to prevent direct causes of maternal mortality during labor, delivery, or the immediate postpartum period. The rate of cesarean delivery may be used as a proxy indicator for access to comprehensive emergency obstetric care. The general consensus is that a cesarean delivery rate of 5%–15% is most closely associated with maximum reduction of maternal mortality [12].

Examining the causes of maternal death at a regional or provincial level can enable programs and policy-makers to focus appropriate interventions on particular areas of a country. However, many countries that measure maternal mortality have not been able to obtain such data at a subnational level [13]. Many countries lack complete vital registration systems and often rely on household surveys with direct questions about death or questions focused on the sisterhood method, which entails asking respondents about the survival status of their sisters. However, because maternal mortality is a relatively rare event, even the largest of these surveys cannot accurately estimate maternal mortality at the subnational level and may not provide information on location of death [14].

Some studies have used expensive techniques such as surveys on reproductive-age mortality and case finding [1417]. Model-based approaches have also been used to obtain subnational estimates in Bangladesh [14], and some countries are including questions on maternal mortality in their national censuses. All these methods provide valuable information on the magnitude of maternal mortality, but do not present data on the causes of maternal deaths [13].

According to WHO [2], Mozambique has experienced a 46% reduction in maternal mortality, from 910 maternal deaths per 100 000 live births in 1990 to 490 maternal deaths per 100 000 live births in 2010. However, data from the 2003 Demographic and Health Survey (DHS) and the 2011 DHS both indicate a ratio of 408 per 100 000, suggesting that there has been little change during this period [18]. Mozambique has been classified as making progress in efforts to achieve the fifth Millennium Development Goal—a three-quarters reduction in maternal mortality from 1990 to 2015. Data from Mozambique's routine health information system indicate that 12% of inhospital maternal deaths are due to HIV/AIDS and 9% are due to malaria [19]. In addition, studies of Maputo Central Hospital have shown that a high proportion of maternal deaths are due to HIV (12.9%) and malaria (12.2%), and also indicate that there is seasonal variation in cause of death, whereby higher proportions of maternal deaths due to malaria occur in the rainy season [20,21].

The aim of the present study was to assess data from three national sources to provide evidence regarding both the extent to which infectious diseases contribute to maternal mortality in Mozambique and the need to scale-up coverage of maternal health services focused on HIV and malaria.

2. Materials and methods

In a descriptive analysis, national data on maternal deaths from separate surveys carried out between 2007 and 2011 in Mozambique were evaluated. As a secondary analysis, the study was exempt from needing institutional review board approval from the University of North Carolina at Chapel Hill, NC, USA.

The study data came from three sources: (a) the 2007–2008 Post Census Mortality Verbal Autopsy Survey, or Inquérito Sobre Causas de Mortalidade (INCAM-VA) [22]; (b) the 2009 National Survey on Prevalence, Behavioral Risks and Information about HIV and AIDS, or AIDS Indicator Survey (AIS) [23] ; and (c) the 2011 DHS [18]. The INCAMVA data were used to determine causes of maternal death at a national and provincial level, whereas the AIS and DHS data were used to determine health service coverage at these levels.

The INCAM-VA was conducted in conjunction with Mozambique's national census in 2007, and was designed to be representative at national and provincial levels and to yield cause-of-death estimates consistent with the international classification system developed by WHO [24]. First, a sample of clustered enumeration areas from the census were randomly selected, and then households reporting a death in these sample areas were identified so that more information about the deaths could be gathered via a detailed WHO-endorsed verbal autopsy questionnaire. The verbal autopsy interview was conducted with a respondent who lived with or cared for the deceased, and was focused on the cause of death and events leading up to the death. Twenty-two physicians were trained to determine the underlying and direct causes of death, and two physicians reviewed each verbal autopsy interview. A total of 10 080 deaths were certified and coded between August 1, 2006, and July 31, 2007, and 213 maternal deaths were identified [23].

The AIS and DHS were population-based household surveys providing essential service coverage data. These surveys used a two-stage cluster sampling design. The 2009 AIS was administered to 6097 households, including 6413 women aged 15–64 years and 4799 men aged 15–64 years. This survey was focused largely on knowledge, practices, and attitudes regarding HIV, and included HIV testing of respondents [24]. The 2011 DHS was administered to 13 919 households, including 13 745 women aged 15–49 years and 4035 men aged 15–64 years [18], and gathered information on socioeconomic factors, health outcomes, and use of services. For the present analysis, data on HIV prevalence among women aged 15–49 years were obtained from the AIS, and those on maternal health coverage indicators among currently pregnant or recently pregnant (in the past 2–3 years) women aged 15–49 years were obtained from the DHS.

The coverage measures evaluated from the 2009 AIS and 2011 DHS were the percentage of women attending at least one prenatal care visit with a skilled birth attendant (SBA), delivery by a SBA, and cesarean delivery. Provision of the following services during prenatal care was specifically assessed: IPTp for malaria; use of ITNs, which are often distributed as part of prenatal care or immunization programs; and HIV counseling, testing, and receipt of results.

The study data are presented as simple descriptive statistics, summarizing the cause of maternal death, overall cause of death, and coverage of key maternal health services at both the national and provincial level.

3. Results

Table 1 and Figure 1 present the numbers of maternal deaths and causes of death for each of the 11 provinces from the 2007–2008 INCAM-VA. Direct causes accounted for 54.7% of the maternal deaths recorded nationally. Overall, HIV accounted for 18.2% of the weighted deaths, whereas malaria accounted for 23.1%. Ten women who died from direct causes were also HIV-positive. “If these deaths were to be included, then the percent of HIV-related maternal mortality would also rise to 23.1%.”

Table 1.

Population, numbers of deaths and maternal deaths, and proportions of maternal deaths due to each cause by province.

Province Population
size
(×1000)a
Total
valid
deathsb
Unweighted
maternal
deathsb
Weighted
maternal
deathsb
Direct
cause
(%)b,c
Indirect cause (%)b,c
HIV Malaria Other
Niassa 1178 561 13 122 55.5 11.4 32.7 0.0
Cabo Delgado 1633 1040 22 281 60.6 9.5 30.2 0.0
Nampula 4077 886 16 485 63.9 11.2 24.9 0.0
Zambezia 3893 1182 36 681 53.9 18.0 20.9 7.1
Tete 1832 783 20 195 57.7 7.4 30.2 4.7
Manica 1419 974 17 145 56.0 18.5 25.1 0.4
Sofala 1654 1153 24 168 44.2 29.0 24.2 2.7
Inhambane 1267 665 12 39 17.6 64.0 7.7 10.8
Gaza 1219 1002 12 90 77.6 14.1 8.3 0.0
Maputo 1260 801 19 117 48.5 19.9 20.3 11.2
Maputo City 1099 1033 22 99 55.6 17.4 21.3 5.6
Total 20 531 10 080 213 2421 54.7 18.2 23.1 4.0
a

Source: 2007 National Census [25].

b

Source: 2007 Inquérito Sobre Causas de Mortalidade

c

Percentages calculated with weighted numbers of deaths.

Figure 1.

Figure 1

Number of maternal deaths and causes of death (source: 2007–2008 Post-Census Survey. The pie charts shown within each province highlight the proportions of maternal deaths due to each cause.

Notably, the number of unweighted maternal deaths was 20 or more in only five of the 11 provinces (Table 1). Focusing specifically on these five provinces, there was considerable variation in the proportion of maternal deaths due to HIV, ranging from 7.4% in Tete to 29.0% in Sofala (Table 1). The variation in these provinces was smaller for malaria, ranging from 20.9% in Zambezia to 30.2% in both Cabo Delgado and Tete (Table 1).

Table 2 shows provincial-level differences in key maternal health outcomes. The percentage of deaths due to direct causes occurring in non-facility environments ranged from 3.9% in Maputo City to 85.7% in Gaza. There were also large variations in maternal health coverage outcomes (Table 2). In particular, Zambezia had the lowest percentage of women receiving prenatal care from an SBA (75.2%). Both Zambezia Province and Cabo Delgado lagged behind other provinces in terms of delivery with a SBA and cesarean delivery, whereas Maputo Province and Maputo City had the best outcomes (Table 2). Notably, only four of the 11 provinces achieved the recommended level of 5%–15% of cesarean deliveries (Table 2).

Table 2.

Direct cause of death and maternal health indicators among women with a live birth in the past 3 years by province.

Province Maternal mortality]a Maternal health service utilizationb
% of maternal deaths by province % of maternal deaths due to direct obstetric complications % of non-facility maternal deaths No. of women respondents % of women who received PNC from an SBAc % of deliveries attended by an SBA % of deliveries by cesarean
Niassa 5.0 55.5 57.0 402 90.2 62.4 1.8
Cabo Delgado 11.6 56.5 61.6 541 96.4 36.3 1.5
Nampula 20.0 63.9 81.6 945 92.7 55.7 3.8
Zambezia 28.1 48.5 68.5 1273 75.2 31.9 1.1
Tete 8.1 57.7 77.4 862 89.3 53.4 3.6
Manica 6.0 56.0 65.8 473 99.2 75.6 3.8
Sofala 6.9 35.0 45.4 619 95.4 72.5 6.8
Inhambane 1.6 17.6 53.0 352 96.7 62.8 6.8
Gaza 3.7 43.9 85.7 360 96.4 85.3 4.7
Maputo 4.8 48.5 35.1 376 99.4 89.3 9.5
Maputo City 4.2 55.6 3.9 238 97.3 90.5 12.8
Total/average 100.0 50.4 63.4 6443 90.6 56.1 4.0

Abbreviations: PNC, prenatal care; SBA, skilled birth attendant.

a

Source: 2007–2008 Inquérito Sobre Causas de Mortalidade

b

Source: 2011 Demographic and Health Survey.

c

Percentage of women attending at least one PNC visit with an SBA.

Malaria, as an overall cause of death among all age groups, ranged from 11.4% in Maputo to 36.1% in Nampula (Table 3). Coverage of IPTp (defined as at least two doses of sulfadoxine-pyrimethamine as per the guideline at the time of the 2011 DHS) was low in all provinces (Table 3): only 3.7% of recently pregnant women were covered in Niassa; and only 7.7% in Zambezia, one of the provinces where malaria is most endemic. Use of ITNs by currently pregnant women was also low, ranging from 8.7% in Gaza to 52.2% in Nampula.

Table 3.

Malaria mortality and malaria preventive behaviors among pregnant and recently pregnant women by province.

Province % of maternal deaths by provincea % of maternal deaths due to malariaa % of all deaths due to malariaa % of recently pregnant women who received ≥2 doses of SP for IPT (N=4913)b % (n) % of currently pregnant women who slept under an ITN on previous night (N=1450)b % (n)
Niassa 5.0 32.7 32.9 3.7 (11) 34.9 (36)
Cabo Delgado 11.6 30.2 30.6 24.9 (97) 38.4 (44)
Nampula 20.0 24.9 36.1 36.1 (263) 52.5 (140)
Zambezia 28.1 20.9 29.8 7.7 (79) 27.5 (88)
Tete 8.1 30.2 31.6 8.7 (59) 22.2 (37)
Manica 6.0 25.1 28.8 32.5 (121) 38.8 (38)
Sofala 6.9 24.2 29.8 31.9 (148) 40.8 (55)
Inhambane 1.6 7.7 25.5 11.9 (30) 33.5 (22)
Gaza 3.7 8.3 18.8 20.3 (54) 8.7 (6)
Maputo 4.8 20.3 11.4 27.7 (73) 23.9 (16)
Maputo City 4.2 21.3 13.1 16.6 (28) 33.4 (16)
Total/average 100.0 23.1 28.8 19.6 (963) 34.3 (497)

Abbreviations: IPT, intermittent preventive treatment; ITN, insecticide-treated net; SP, sulfadoxine-pyrimethamine.

a

Source: 2007–2008 Inquérito Sobre Causas de Mortalidade.

b

Source: 2011 Demographic and Health Survey.

The proportion of deaths caused by HIV among all age groups varied from 18.4% in Nampula to 40.7% in Gaza (Table 4). The overall prevalence of HIV among women aged 15–49 years was 13.1%, ranging from 3.3% in Niassa to 29.9% in Gaza. The percentage of pregnant women who underwent HIV testing and counseling, and who received test results was under 50% in six of the 11 provinces, including Gaza (Table 4). The lowest percentages were recorded for Nampula, which had an HIV prevalence of 5.5%, and Zambezia, which had a much higher prevalence of 15.3%.

Table 4.

HIV/AIDS mortality and HIV/AIDS testing behaviors among women of reproductive age and pregnant or recently pregnant women by province

Province Maternal mortality and HIV-related mortality HIV prevalence and testing
% of maternal deaths by provincea % of maternal deaths due to HIV/AIDS a % of all deaths due to HIV/AIDSa % prevalence of HIV/AIDS among womenb (N=5229) % (n) % of recently pregnant women who were counseled, tested, and received an HIV test resultc (N=4914) % (n)
Niassa 5.0 11.4 24.9 3.3 (10) 39.9 (120)
Cabo Delgado 11.6 9.5 20.7 9.5 (40) 24.0 (93)
Nampula 20.0 11.2 18.4 5.5 (56) 16.3 (119)
Zambezia 28.1 18.0 26.4 15.3 (145) 20.5 (211)
Tete 8.1 7.4 22.7 8.0 (35) 58.3 (395)
Manica 6.0 18.5 30.6 15.6 (56) 27.7 (103)
Sofala 6.9 29.0 31.1 17.8 (75) 64.2 (298)
Inhambane 1.6 64.0 30.6 10.0 (32) 61.1 (154)
Gaza 3.7 14.1 40.7 29.9 (100) 40.7 (109)
Maputo 4.8 19.9 38.9 20 (69) 55.8 (147)
Maputo City 4.2 17.4 33.3 20.5 (69) 54.4 (96)
Total/average 100.0 18.2 26.9 13.1 (685) 37.5 (1843)
a

Source: 2007–2008 Inquérito Sobre Causas de Mortalidade.

b

Source: 2009 AIDS Indicator Survey.

c

Source: 2011 Demographic Health Survey.

4. Discussion

Estimates of maternal mortality and information on cause of death at a subnational level can be difficult to obtain for many countries, but such information is vital in assisting efforts to target maternal health interventions [13]. Often, countries only have national estimates, which then must be used uniformly throughout a country. In the present study, existing population-level verbal autopsy data and household survey data were used to derive a nuanced picture of the importance of HIV and malaria as causes of maternal mortality in Mozambique.

Data from the INCAM-VA indicated that both HIV and malaria account for a considerable proportion of maternal deaths: 18.2% in the case of HIV, and 23.1% in the case of malaria. If the deaths of HIV-positive women who were classified as dying of direct maternal causes are also included as HIV-related maternal deaths, then the contribution of HIV rises to 23.1% of maternal deaths. These percentages are higher than estimates provided by facility-level sources in Mozambique [1921], thus highlighting the importance of capturing cause of death for maternal deaths that occur at home or in non-facility environments. The present study adds to other studies documenting HIV [47] and malaria [610] as significant contributors to maternal mortality. The present descriptive summary of cause of death by province also indicates provincial variation, although this subanalysis is limited by the small sample size of only 213 maternal deaths in total.

In terms of the coverage of maternal health interventions in Mozambique by province, it is clear that not enough women have access to delivery with an SBA and/or in a health facility. Regarding malaria interventions in particular, both IPTp and use of ITNs were low across the country overall. Malaria is endemic throughout Mozambique on a seasonal basis, and in parts of Zambezia, Nampula, and Cabo Delgado, transmission occurs for 7–12 months of the year. As a result, efforts are needed to rapidly scale up these interventions. In many provinces, higher proportions of pregnant women were getting tested and counseled for HIV than were receiving malaria interventions. Nevertheless, in six of the provinces, the percentages of women being tested for HIV were below 50%. Getting more women tested and aware of their status is crucial in the effort to improve maternal health and prevent mother-to-child transmission of HIV.

The present study has a few limitations. First, the number of maternal deaths assigned by the INCAM-VA at the provincial level was small. Second, the INCAM-VA data referred to a slightly earlier time period (2006–2007) than the coverage indicators from both the AIS (2009) and DHS (2011). Maternal health coverage data from the DHS referred to women who were currently pregnant or had been pregnant in the past 2–3 years (and thus a time period of 2008–2011). Finally, cause of death was assigned solely on the basis of the INCAM-VA data, and might have been affected by recall bias among the respondents and by coding errors among the physicians.

In summary, the use of population-based data on maternal deaths in conjunction with coverage data on preventive behaviors at a subnational level provides information necessary to understand the most important causes of maternal mortality. Such information is crucial for national and provincial authorities in their efforts to reduce maternal mortality. In addition, malaria and HIV must be acknowledged and addressed as major contributors to maternal mortality.

Synopsis.

National surveys highlight the importance of HIV and malaria as causes of maternal mortality in Mozambique in addition to the need for subnational data

Acknowledgments

The study was funded by the US 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 a NIH R24 Center Grant to the Carolina Population Center at the University of North Carolina at Chapel Hill.

Footnotes

Conflict of interest

The authors have no conflicts of interest.

References

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