The epidemiology of pregnancy outcomes in rural Burkina Faso

Maternal mortality in the covid-19 pandemic: findings from a rapid systematic review

BACKGROUND

The COVID-19 pandemic is having significant direct and associated effects on many health outcomes, including maternal mortality. As a useful marker of healthcare system functionality, trends in maternal mortality provide a lens to gauge impact and inform mitigation strategies.

OBJECTIVE

To report the findings of a rapid systematic review of studies on levels of maternal mortality before and during the COVID-19 pandemic.

METHODS

We systematically searched for studies on the 1st March 2021 in MEDLINE and Embase, with additional studies identified through MedRxiv and searches of key websites. We included studies that reported levels of mortality in pregnant and postpartum women in time-periods pre- and during the COVID-19 pandemic. The maternal mortality ratio was calculated for each study as well as the excess mortality.

RESULTS

The search yielded 3411 references, of which five studies were included in the review alongside two studies identified from grey literature searches. Five studies used data from national health information systems or death registries (Mexico, Peru, Uganda, South Africa, and Kenya), and two studies from India were record reviews from health facilities. There were increased levels of maternal mortality documented in all studies; however, there was only statistical evidence for a difference in maternal mortality in the COVID-19 era for four of these. Excess maternal mortality ranged from 8.5% in Kenya to 61.5% in Uganda.

CONCLUSIONS

Measuring maternal mortality in pandemics presents many challenges, but also essential opportunities to understand and ameliorate adverse impact both for women and their newborns. Our systematic review shows a dearth of studies giving reliable information on levels of maternal mortality, and we call for increased and more systematic reporting of this largely preventable outcome. The findings help to highlight four measurement-related issues which are priorities for continuing research and development.

Burden of disease among the world's poorest billion people: An expert-informed secondary analysis of Global Burden of Disease estimates

Background

The health of populations living in extreme poverty has been a long-standing focus of global development efforts, and continues to be a priority during the Sustainable Development Goal era. However, there has not been a systematic attempt to quantify the magnitude and causes of the burden in this specific population for almost two decades. We estimated disease rates by cause for the world’s poorest billion and compared these rates to those in high-income populations.

Methods

We defined the population in extreme poverty using a multidimensional poverty index. We used national-level disease burden estimates from the 2017 Global Burden of Disease Study and adjusted these to account for within-country variation in rates. To adjust for within-country variation, we looked to the relationship between rates of extreme poverty and disease rates across countries. In our main modeling approach, we used these relationships when there was consistency with expert opinion from a survey we conducted of disease experts regarding the associations between household poverty and the incidence and fatality of conditions. Otherwise, no within-country variation was assumed. We compared results across multiple approaches for estimating the burden in the poorest billion, including aggregating national-level burden from the countries with the highest poverty rates. We examined the composition of the estimated disease burden among the poorest billion and made comparisons with estimates for high-income countries.

Results

The composition of disease burden among the poorest billion, as measured by disability-adjusted life years (DALYs), was 65% communicable, maternal, neonatal, and nutritional (CMNN) diseases, 29% non-communicable diseases (NCDs), and 6% injuries. Age-standardized DALY rates from NCDs were 44% higher in the poorest billion (23,583 DALYs per 100,000) compared to high-income regions (16,344 DALYs per 100,000). Age-standardized DALY rates were 2,147% higher for CMNN conditions (32,334 DALYs per 100,000) and 86% higher for injuries (4,182 DALYs per 100,000) in the poorest billion, compared to high-income regions.

Conclusion

The disease burden among the poorest people globally compared to that in high income countries is highly influenced by demographics as well as large disparities in burden from many conditions. The comparisons show that the largest disparities remain in communicable, maternal, neonatal, and nutritional diseases, though NCDs and injuries are an important part of the “unfinished agenda” of poor health among those living in extreme poverty.

A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa

Background: Understanding socioeconomic disparities in all-cause and cause-specific mortality can help inform prevention and treatment strategies.

Objectives: To quantify cause-specific mortality rates by socioeconomic status across seven health and demographic surveillance systems (HDSS) in five countries (Ethiopia, Kenya, Malawi, Mozambique, and Nigeria) in the INDEPTH Network in sub-Saharan Africa.

Methods: We linked demographic residence data with household survey data containing living standards and education information we used to create a poverty index. Person-years lived and deaths between 2003 and 2016 (periods varied by HDSS) were stratified in each HDSS by age, sex, year, and number of deprivations on the poverty index (0–8). Causes of death were assigned to each death using the InterVA-4 model based on responses to verbal autopsy questionnaires. We estimated rate ratios between socioeconomic groups (2–4 and 5–8 deprivations on our poverty index compared to 0–2 deprivations) for specific causes of death and calculated life expectancy for the deprivation groups.

Results: Our pooled data contained almost 3.5 million person-years of observation and 25,038 deaths. All-cause mortality rates were higher among people in households with 5–8 deprivations on our poverty index compared to 0–2 deprivations, controlling for age, sex, and year (rate ratios ranged 1.42 to 2.06 across HDSS sites). The poorest group had consistently higher death rates in communicable, maternal, neonatal, and nutritional conditions (rate ratios ranged 1.34–4.05) and for non-communicable diseases in several sites (1.14–1.93). The disparities in mortality between 5–8 deprivation groups and 0–2 deprivation groups led to lower life expectancy in the higher-deprivation groups by six years in all sites and more than 10 years in five sites.

Conclusions: We show large disparities in mortality on the basis of socioeconomic status across seven HDSS in sub-Saharan Africa due to disparities in communicable disease mortality and from non-communicable diseases in some sites. Life expectancy gaps between socioeconomic groups within sites were similar to the gaps between high-income and lower-middle-income countries. Prevention and treatment efforts can benefit from understanding subpopulations facing higher mortality from specific conditions.

Risk factors and causes of stillbirths among pregnant women in Pakistan

BACKGROUND

Globally 3 million stillbirths occur per year, and Pakistan is ranked 3rd among the countries having the highest burden. Despite being a major public health problem, efforts to reduce this figure are insufficient.

OBJECTIVE

The aim of the study was to identify and measure the inequalities in stillbirth associated risk factors, causes and fertility risk behaviors.

METHODS

Data were derived from the Pakistan Demographic and Health Surveys (PDHS) 1990-2013. Inequalities on determinants were evaluated using rate differences and rate ratios; time trends computed with annualized reduction rate (ARR).

RESULTS

Overall ARR determined for stillbirth was -12.52 percent per annum. The high ARR were recorded for mothers age <20, urban areas, educated mothers and for highest wealth quintile. The relative inequalities were most pronounced for wealth quintiles, education and age of mothers. Stillbirth causes were unexplained antepartum (33%), unexplained intrapartum (21%), intrapartum asphyxia (21%) and antepartum maternal disorders (19%). The high fertility risk behavior was found in mothers with age >34 and birth order >3.

CONCLUSION

The study concluded that to achieve gain in child survival, there is need to promote antenatal care, birth spacing, and family planning programs in developing countries.

[Is the fight against maternal mortality in Burkina Faso adapted to reduce the three delays?]

OBJECTIVE

Maternal mortality remains high in Burkina Faso despite numerous interventions designed to reduce this mortality. It therefore appeared important to analyse attempts to lower maternal mortality in Burkina Faso over the last fifteen years in order to identify the strengths and weaknesses and to improve the national programme.

METHODS

Analysis according to the ?three delays? model using the strengths, weaknesses, opportunities and threats method was conducted. Data sources were scientific publications as well as national gray literature.

RESULTS

Many studies have identified factors predisposing to the first delay, but very few effective interventions covering all of the country have been conducted to reduce this delay. The development of infrastructures, a rapid transfer system and integration of the cost of transfer into the cost of delivery subsidy were interventions designed to reduce the second delay. The promotion of blood transfusion, emergency obstetric and neonatal care, an increased number of trained health professionals, delegation of tasks, subsidy and then free delivery costs were interventions designed to reduce the third delay. The analysis globally demonstrated that interventions on the first delay were insufficient and rarely implemented and weaknesses were observed in relation to the intervention designed to act on the last two delays.

CONCLUSION

Due to their inadequacy and poor quality, the interventions failed to significantly reduce the three delays. Priority needs to be given to new interventions, especially community-based interventions, and reinforcement of the quality of care by health training.

Timing of maternal death: Levels, trends, and ecological correlates using sibling data from 34 sub-Saharan African countries

Millennium Development Goal 5 has not been universally achieved, particularly in sub-Saharan Africa. Understanding whether maternal deaths occur during pregnancy, childbirth, or puerperium is important to effectively plan maternal health programs and allocate resources. Our main research objectives are to (1) describe the proportions and rates of mortality for the antepartum, intrapartum, and postpartum periods; (2) document how these trends vary by sub-region; and (3) investigate ecological correlations between these rates and maternal care interventions. We used data from the Demographic and Health Survey program, which comprises 84 surveys from 34 sub-Saharan African countries conducted between 1990 and 2014. We calculated age-standardized maternal mortality rates and time-specific maternal mortality rates and proportions, and we assessed correlations with maternal care coverage. We found high levels of maternal mortality in all three periods. Time-specific maternal mortality rates varied by country and region, with some showing an orderly decline in all three periods and others exhibiting alarming increases in antepartum and postpartum mortality. Ecological analysis showed that antenatal care coverage was significantly associated with low antepartum mortality, whereas the presence of a skilled attendant at childbirth was significantly associated with low postpartum mortality. In sub-Saharan Africa, maternal deaths occur at high rates in all three risk periods, and vary substantially by country and region. The provision of maternal care is a predictor of time-specific maternal mortality. These results confirm the need for country-specific interventions during the continuum of care to achieve the global commitment to eliminating preventable maternal mortality.

Measuring maternal mortality: a systematic review of methods used to obtain estimates of the maternal mortality ratio (MMR) in low- and middle-income countries

Background

The new global target for maternal mortality ratio (MMR) is a ratio below 70 maternal deaths per 100 000 live births by 2030. We undertook a systematic review of methods used to measure MMR in low- and middle-income countries.

Sources of data

Systematic review of the literature; 59 studies included.

Areas of agreement

Civil registration (5 studies), census (5) and surveys (16), Reproductive Age Mortality Studies (RAMOS) (4) and the sisterhood methods (11) have been used to measure MMR in a variety of settings.

Areas of controversy

Middle-income countries have used civil registration data for estimating MMR but it has been a challenge to obtain reliable data from low-income countries with many only using health facility data (18 studies).

Growing points and areas for further research

Based on the strengths and feasibility of application, RAMOS may provide reliable and contemporaneous estimates of MMR while civil registration systems are being introduced. It will be important to build capacity for this and ensure implementation research to understand what works where and how.

Maternal mortality and distance to facility-based obstetric care in rural southern Tanzania: a secondary analysis of cross-sectional census data in 226 000 households

BACKGROUND

Access to skilled obstetric delivery and emergency care is deemed crucial for reducing maternal mortality. We assessed pregnancy-related mortality by distance to health facilities and by cause of death in a disadvantaged rural area of southern Tanzania.

METHODS

We did a secondary analysis of cross-sectional georeferenced census data collected from June to October, 2007, in five rural districts of southern Tanzania. Heads of georeferenced households were asked about household deaths in the period June 1, 2004, to May 31, 2007, and women aged 13-49 years were interviewed about birth history in the same time period. Causes of death in women of reproductive age were ascertained by verbal autopsy. We also asked for sociodemographic information. Multilevel logistic regression was used to analyse the effects of distance to health facilities providing delivery care on pregnancy-related mortality (direct and indirect maternal and coincidental deaths).

FINDINGS

The study included 818 583 people living in 225 980 households. Pregnancy-related mortality was high at 712 deaths per 100 000 livebirths, with haemorrhage being the leading cause of death. Deaths due to direct causes of maternal mortality were strongly related to distance, with mortality increasing from 111 per 100 000 livebirths among women who lived within 5 km to 422 deaths per 100 000 livebirths among those who lived more than 35 km from a hospital (adjusted odds ratio 3·68; 95% CI 1·37-9·88). Neither pregnancy-related nor indirect maternal mortality was associated with distance to hospital. Among women who lived within 5 km of a hospital, pregnancy-related mortality was 664 deaths per 100 000 livebirths even though 72% gave birth in hospital and 8% had delivery by caesarean section.

INTERPRETATION

Large distances to hospital contribute to high levels of direct obstetric mortality. High pregnancy-related mortality in those living near to a hospital suggests deficiencies in quality of care.

FUNDING

Bill & Melinda Gates Foundation.

Causes of and factors associated with stillbirth in low- and middle-income countries: a systematic literature review

BACKGROUND

Annually, 2.6 million stillbirths occur worldwide, 98% in developing countries. It is crucial that we understand causes and contributing factors.

METHODS

We conducted a systematic review of studies reporting factors associated with and cause(s) of stillbirth in low- and middle-income countries (2000-13). Narrative synthesis to compare similarities and differences between studies with similar outcome categories.

MAIN RESULTS

A total of 142 studies with 2.1% from low-income settings were investigated; most report on stillbirths occurring at health facility level. Definition of stillbirth varied; 10.6% of studies (mainly upper middle-income countries) used a cut-off point of ≥22 weeks of gestation and 32.4% (mainly lower income countries) used ≥28 weeks of gestation. Factors reported to be associated with stillbirth include poverty and lack of education, maternal age (>35 or <20 years), parity (1, ≥5), lack of antenatal care, prematurity, low birthweight, and previous stillbirth. The most frequently reported cause of stillbirth was maternal factors (8-50%) including syphilis, positive HIV status with low CD4 count, malaria and diabetes. Congenital anomalies are reported to account for 2.1-33.3% of stillbirths, placental causes (7.4-42%), asphyxia and birth trauma (3.1-25%), umbilical problems (2.9-33.3%), and amniotic and uterine factors (6.5-10.7%). Seven different classification systems were identified but applied in only 22% of studies that could have used a classification system. A high percentage of stillbirths remain 'unclassified' (3.8-57.4%).

CONCLUSION

To build capacity for perinatal death audit, clear guidelines and a suitable classification system to assign cause of death must be developed. Existing classification systems may need to be adapted. Better data and more data are urgently needed.

Contribution of suicide and injuries to pregnancy-related mortality in low-income and middle-income countries: a systematic review and meta-analysis

BACKGROUND

Although suicide is one of the leading causes of deaths in young women in low-income and middle-income countries, the contribution of suicide and injuries to pregnancy-related mortality remains unknown.

METHODS

We did a systematic review to identify studies reporting the proportion of pregnancy-related deaths attributable to suicide or injuries, or both, in low-income and middle-income countries. We used a random-effects meta-analysis to calculate the pooled prevalence of pregnancy-related deaths attributable to suicide, stratified by WHO region. To account for the possible misclassification of suicide deaths as injuries, we calculated the pooled prevalence of deaths attributable to injuries, and undertook a sensitivity analysis reclassifying the leading methods of suicides among women in low-income and middle-income countries (burns, poisoning, falling, or drowning) as suicide.

FINDINGS

We identified 36 studies from 21 countries. The pooled total prevalence across the regions was 1·00% for suicide (95% CI 0·54-1·57) and 5·06% for injuries (3·72-6·58). Reclassifying the leading suicide methods from injuries to suicide increased the pooled prevalence of pregnancy-related deaths attributed to suicide to 1·68% (1·09-2·37). Americas (3·03%, 1·20-5·49), the eastern Mediterranean region (3·55%, 0·37-9·37), and the southeast Asia region (2·19%, 1·04-3·68) had the highest prevalence for suicide, with the western Pacific (1·16%, 0·00-4·67) and Africa (0·65%, 0·45-0·88) regions having the lowest.

INTERPRETATION

The available data suggest a modest contribution of injuries and suicide to pregnancy-related mortality in low-income and middle-income countries with wide regional variations. However, this study might have underestimated suicide deaths because of the absence of recognition and inclusion of these causes in eligible studies. We recommend that injury-related and other co-incidental causes of death are included in the WHO definition of maternal mortality to promote measurement and effective intervention for reduction of maternal mortality in low-income and middle-income countries.

FUNDING

National Institute of Mental Health.

Systematic review of the proportion of pregnancy-related deaths attributed to HIV in population-based studies in sub-Saharan Africa

OBJECTIVES

To estimate the proportion of pregnancy-related deaths attributed to HIV in population-based studies in sub-Saharan Africa, and to document the methods used to make such attribution.

METHODS

Four databases were searched for studies on causes of maternal and pregnancy-related mortality published from 2003 to June 2013. Data were extracted, and meta-analysis of proportions with random effects was used to obtain summary estimates.

RESULTS

In the 19 studies found, the proportion of deaths attributed to HIV ranged from 0.0% to 27.0%. The summary proportion was 3.4% (95% confidence interval: 1.8–6.3), with high heterogeneity. Subregionally, the summary proportions were 1.1% (0.4–3.3%) in West Africa, 4.5%(1.7–11.2%) in East Africa and 26.1% (21.9–30.7%) in Southern Africa. Criteria for assigning HIV as a cause of maternal death were rarely reported, and overall, methods were poor.

CONCLUSIONS

The proportion of pregnancy-related/maternal deaths attributed to HIV is substantially lower than modelled estimates, but comparisons are hampered by the absence of standard approaches. Clear guidelines on how to classify pregnancy-related deaths as attributable to HIV are urgently needed, so that the effect of the HIV epidemic on pregnancy-related mortality can be monitored and action taken accordingly.

Maternal mortality, birth with a health professional and distance to obstetric care in Indonesia and Bangladesh

OBJECTIVE

To examine the relationship between distance to a health facility, consulting a health professional and maternal mortality.

METHODS

Retrospective cohort study in Matlab, Bangladesh (1987-2005), to collect data on all pregnancies, births and deaths. In Java, Indonesia (2004-2005), an informant-based approach identified maternal deaths and a population-based survey sampled women who survived birth. Logistic regression was used to examine the influence of distance to a health facility and uptake of a health professional on odds of dying.

RESULTS

Maternal mortality was 320 per 100 000 births (95% CI: 290, 353) in Indonesia and 318 per 100 000 (95% CI: 272, 369) in Bangladesh. Women who lived further from health centres in both countries were less likely to have their births attended by health professionals than those who lived closer. For women who were assisted by a health professional, the odds of dying increased with increasing distance from a health centre [odds ratio per km; Indonesia: 1.07 (95% CI: 1.02-1.11), Bangladesh: 1.47 (95% CI: 1.22-1.78)]. There was no evidence for an association between distance to a health centre and maternal death for women who were not assisted by a health professional.

CONCLUSIONS

Even in settings where health services are relatively close to women's homes, distance to a health facility affects maternal mortality for women giving birth with a health professional. Women may only seek professional care in an emergency and may be unable to reach timely care when living far away from a health centre.

Measuring unsafe abortion-related mortality: a systematic review of the existing methods

BACKGROUND

The WHO estimates that 13% of maternal mortality is due to unsafe abortion, but challenges with measurement and data quality persist. To our knowledge, no systematic assessment of the validity of studies reporting estimates of abortion-related mortality exists.

STUDY DESIGN

To be included in this study, articles had to meet the following criteria: (1) published between September 1(st), 2000-December 1(st), 2011; (2) utilized data from a country where abortion is "considered unsafe"; (3) specified and enumerated causes of maternal death including "abortion"; (4) enumerated ≥100 maternal deaths; (5) a quantitative research study; (6) published in a peer-reviewed journal.

RESULTS

7,438 articles were initially identified. Thirty-six studies were ultimately included. Overall, studies rated "Very Good" found the highest estimates of abortion related mortality (median 16%, range 1-27.4%). Studies rated "Very Poor" found the lowest overall proportion of abortion related deaths (median: 2%, range 1.3-9.4%).

CONCLUSIONS

Improvements in the quality of data collection would facilitate better understanding global abortion-related mortality. Until improved data exist, better reporting of study procedures and standardization of the definition of abortion and abortion-related mortality should be encouraged.

Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool

Background

Verbal autopsy (VA) is the only available approach for determining the cause of many deaths, where routine certification is not in place. Therefore, it is important to use standards and methods for VA that maximise efficiency, consistency and comparability. The World Health Organization (WHO) has led the development of the 2012 WHO VA instrument as a new standard, intended both as a research tool and for routine registration of deaths.

Objective

A new public-domain probabilistic model for interpreting VA data, InterVA-4, is described, which builds on previous versions and is aligned with the 2012 WHO VA instrument.

Design

The new model has been designed to use the VA input indicators defined in the 2012 WHO VA instrument and to deliver causes of death compatible with the International Classification of Diseases version 10 (ICD-10) categorised into 62 groups as defined in the 2012 WHO VA instrument. In addition, known shortcomings of previous InterVA models have been addressed in this revision, as well as integrating other work on maternal and perinatal deaths.

Results

The InterVA-4 model is presented here to facilitate its widespread use and to enable further field evaluation to take place. Results from a demonstration dataset from Agincourt, South Africa, show continuity of interpretation between InterVA-3 and InterVA-4, as well as differences reflecting specific issues addressed in the design and development of InterVA-4.

Conclusions

InterVA-4 is made freely available as a new standard model for interpreting VA data into causes of death. It can be used for determining cause of death both in research settings and for routine registration. Further validation opportunities will be explored. These developments in cause of death registration are likely to substantially increase the global coverage of cause-specific mortality data.

Performance of InterVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

Background

InterVA is a widely disseminated tool for cause of death attribution using information from verbal autopsies. Several studies have attempted to validate the concordance and accuracy of the tool, but the main limitation of these studies is that they compare cause of death as ascertained through hospital record review or hospital discharge diagnosis with the results of InterVA. This study provides a unique opportunity to assess the performance of InterVA compared to physician-certified verbal autopsies (PCVA) and alternative automated methods for analysis.

Methods

Using clinical diagnostic gold standards to select 12,542 verbal autopsy cases, we assessed the performance of InterVA on both an individual and population level and compared the results to PCVA, conducting analyses separately for adults, children, and neonates. Following the recommendation of Murray et al., we randomly varied the cause composition over 500 test datasets to understand the performance of the tool in different settings. We also contrasted InterVA with an alternative Bayesian method, Simplified Symptom Pattern (SSP), to understand the strengths and weaknesses of the tool.

Results

Across all age groups, InterVA performs worse than PCVA, both on an individual and population level. On an individual level, InterVA achieved a chance-corrected concordance of 24.2% for adults, 24.9% for children, and 6.3% for neonates (excluding free text, considering one cause selection). On a population level, InterVA achieved a cause-specific mortality fraction accuracy of 0.546 for adults, 0.504 for children, and 0.404 for neonates. The comparison to SSP revealed four specific characteristics that lead to superior performance of SSP. Increases in chance-corrected concordance are attained by developing cause-by-cause models (2%), using all items as opposed to only the ones that mapped to InterVA items (7%), assigning probabilities to clusters of symptoms (6%), and using empirical as opposed to expert probabilities (up to 8%).

Conclusions

Given the widespread use of verbal autopsy for understanding the burden of disease and for setting health intervention priorities in areas that lack reliable vital registrations systems, accurate analysis of verbal autopsies is essential. While InterVA is an affordable and available mechanism for assigning causes of death using verbal autopsies, users should be aware of its suboptimal performance relative to other methods.

Mortality measurement in transition: proof of principle for standardised multi-country comparisons

Objective

To demonstrate the viability and value of comparing cause-specific mortality across four socioeconomically and culturally diverse settings using a completely standardised approach to VA interpretation.

Methods

Deaths occurring between 1999 and 2004 in Butajira (Ethiopia), Agincourt (South Africa), FilaBavi (Vietnam) and Purworejo (Indonesia) health and socio-demographic surveillance sites were identified. VA interviews were successfully conducted with the caregivers of the deceased to elicit information on signs and symptoms preceding death. The information gathered was interpreted using the InterVA method to derive population cause-specific mortality fractions for each of the four settings.

Results

The mortality profiles derived from 4784 deaths using InterVA illustrate the potential of the method to characterise sub-national profiles well. The derived mortality patterns illustrate four populations with plausible, markedly different disease profiles, apparently at different stages of health transition.

Conclusions

Given the standardised method of VA interpretation, the observed differences in mortality cannot be because of local differences in assigning cause of death. Standardised, fit-for-purpose methods are needed to measure population health and changes in mortality patterns so that appropriate health policy and programmes can be designed, implemented and evaluated over time and place. The InterVA approach overcomes several longstanding limitations of existing methods and represents a valuable tool for health planners and researchers in resource-poor settings.

Perinatal mortality in rural Burkina Faso: a prospective community-based cohort study

BACKGROUND

There is a scarcity of reliable data on perinatal mortality (PNM) in Sub-Saharan Africa. The PROMISE-EBF trial, during which we promoted exclusive breastfeeding, gave us the opportunity to describe the epidemiology of PNM in Banfora Health District, South-West in Burkina Faso.

STUDY OBJECTIVES

To measure the perinatal mortality rate (PNMR) in the PROMISE-EBF cohort in Banfora Health District and to identify potential risk factors for perinatal death.

METHODS

We used data collected prospectively during the PROMISE-EBF-trial to estimate the stillbirth rate (SBR) and early neonatal mortality rate (ENMR). We used binomial regression with generalized estimating equations to identify potential risk factors for perinatal death.

RESULTS

895 pregnant women were enrolled for data collection in the EBF trial and followed-up to 7 days after birth. The PNMR, the SBR and the ENMR, were 79 per 1000 (95% CI: 59-99), 54 per 1000 (95% CI: 38-69) and 27 per 1000 (95% CI: 9-44), respectively. In a multivariable analysis, nulliparous women (RR = 2.90, 95% CI: 1.6-5.0), primiparae mothers (RR = 2.20, 95% CI: 1.2-3.9), twins (RR = 4.0, 95% CI: 2.3-6.9) and giving birth during the dry season (RR = 2.1 95% CI: 1.3-3.3) were factors associated with increased risk of perinatal death. There was no evidence that risk of perinatal death differed between deliveries at home and at a health centre

CONCLUSION

Our study observed the highest PNMR ever reported in Burkina. There is an urgent need for sustainable interventions to improve maternal and newborn health in the country.

Moving from data on deaths to public health policy in Agincourt, South Africa: approaches to analysing and understanding verbal autopsy findings

BACKGROUND

Cause of death data are an essential source for public health planning, but their availability and quality are lacking in many parts of the world. Interviewing family and friends after a death has occurred (a procedure known as verbal autopsy) provides a source of data where deaths otherwise go unregistered; but sound methods for interpreting and analysing the ensuing data are essential. Two main approaches are commonly used: either physicians review individual interview material to arrive at probable cause of death, or probabilistic models process the data into likely cause(s). Here we compare and contrast these approaches as applied to a series of 6,153 deaths which occurred in a rural South African population from 1992 to 2005. We do not attempt to validate either approach in absolute terms.

METHODS AND FINDINGS

The InterVA probabilistic model was applied to a series of 6,153 deaths which had previously been reviewed by physicians. Physicians used a total of 250 cause-of-death codes, many of which occurred very rarely, while the model used 33. Cause-specific mortality fractions, overall and for population subgroups, were derived from the model's output, and the physician causes coded into comparable categories. The ten highest-ranking causes accounted for 83% and 88% of all deaths by physician interpretation and probabilistic modelling respectively, and eight of the highest ten causes were common to both approaches. Top-ranking causes of death were classified by population subgroup and period, as done previously for the physician-interpreted material. Uncertainty around the cause(s) of individual deaths was recognised as an important concept that should be reflected in overall analyses. One notably discrepant group involved pulmonary tuberculosis as a cause of death in adults aged over 65, and these cases are discussed in more detail, but the group only accounted for 3.5% of overall deaths.

CONCLUSIONS

There were no differences between physician interpretation and probabilistic modelling that might have led to substantially different public health policy conclusions at the population level. Physician interpretation was more nuanced than the model, for example in identifying cancers at particular sites, but did not capture the uncertainty associated with individual cases. Probabilistic modelling was substantially cheaper and faster, and completely internally consistent. Both approaches characterised the rise of HIV-related mortality in this population during the period observed, and reached similar findings on other major causes of mortality. For many purposes probabilistic modelling appears to be the best available means of moving from data on deaths to public health actions. Please see later in the article for the Editors' Summary.

A lost cause? Extending verbal autopsy to investigate biomedical and socio-cultural causes of maternal death in Burkina Faso and Indonesia

Maternal mortality in developing countries is characterised by disadvantage and exclusion. Women who die whilst pregnant are typically poor and live in low-income and rural settings where access to quality care is constrained and where deaths, within and outside hospitals, often go unrecorded and unexamined. Verbal autopsy (VA) is an established method of determining cause(s) of death for people who die outside health facilities or without proper registration. This study extended VA to investigate socio-cultural factors relevant to outcomes. Interviews were conducted with relatives of 104 women who died during pregnancy, childbirth or postpartum in two rural districts in Indonesia and for 70 women in a rural district in Burkina Faso. Information was collected on medical signs and symptoms of the women prior to death and an extended section collected accounts of care pathways and opinions on preventability and cause of death. Illustrative quantitative and qualitative analyses were performed and the implications for health surveillance and planning were considered. The cause of death profiles were similar in both settings with infectious diseases, haemorrhage and malaria accounting for half the deaths. In both settings, delays in seeking, reaching and receiving care were reported by more than two-thirds of respondents. Relatives also provided information on their experiences of the emergencies revealing culturally-derived systems of explanation, causation and behaviour. Comparison of the qualitative and quantitative results suggested that the quantified delays may have been underestimated. The analysis suggests that broader empirical frameworks can inform more complete health planning by situating medical conditions within the socio-economic and cultural landscapes in which healthcare is situated and sought. Utilising local knowledge, extended VA has potential to inform the relative prioritisation of interventions that improve technical aspects of life-saving services with those that address the conditions that underlie health, for those whom services typically fail to reach.

Accessibility and utilisation of delivery care within a Skilled Care Initiative in rural Burkina Faso

OBJECTIVES

The Skilled Care Initiative (SCI) was a comprehensive skilled attendance at delivery strategy implemented by the Ministry of Health and Family Care International in Ouargaye district (Burkina Faso) from 2002 to 2005. We aimed to evaluate the relationships between accessibility, functioning of health centres and utilisation of delivery care in the SCI intervention district (Ouargaye) and compare this with another district (Diapaga).

METHODS

Data were collected on staffing, equipment, water and energy supply for all health centres and a functionality index for health centres were constructed. A household census was carried out in 2006 to assess assets of all household members, and document pregnancies lasting more than 6 months between 2001 and 2005, with place of delivery and delivery attendant. Utilisation of delivery care was defined as birth in a health institution or birth by Caesarean section. Analyses included univariate and multivariate logistic regression.

RESULTS

Distance to health facility, education and asset ownership were major determinants of delivery care utilisation, but no association was found between the functioning of health centres (as measured by infrastructure, energy supply and equipment) and institutional birth rates or births by Caesarean section. The proportion of births in an institution increased more substantially in the SCI district over time but no changes were seen in Caesarean section rates.

CONCLUSION

The SCI has increased uptake of institutional deliveries but there is little evidence that it has increased access to emergency obstetric care, at least in terms of uptake of Caesarean sections. Its success is contingent on large-scale coverage and 24-h availability of referral for life saving drugs, skilled personnel and surgery for pregnant women.

Undertaking a complex evaluation of safe motherhood in rural Burkina Faso

Evaluations of composite health interventions, such as those attempting to make motherhood safer, are by definition complex, but nevertheless regarded as essential to informing progress in global health. This paper introduces a series of reports which set out the basis of Family Care International's Skilled Care Initiative in rural Burkina Faso, go on to describe strategies and methods for evaluating it, and present evaluation findings in terms of pregnancy outcomes, utilisation and effects of the intervention and economics. Although there were encouraging findings, no 'magic bullets' emerged from these studies, illustrating the reality that sustained and increasing resources are needed to achieve safe motherhood for all. There is no cheap or short-cut solution.

Assessing the repeatability of verbal autopsy for determining cause of death: two case studies among women of reproductive age in Burkina Faso and Indonesia

Background

Verbal autopsy (VA) is an established tool for assessing cause-specific mortality patterns in communities where deaths are not routinely medically certified, and is an important source of data on deaths among the poorer half of the world's population. However, the repeatability of the VA process has never been investigated, even though it is an important factor in its overall validity. This study analyses repeatability in terms of the overall VA process (from interview to cause-specific mortality fractions (CSMF)), as well as specifically for interview material and individual causes of death, using data from Burkina Faso and Indonesia.

Methods

Two series of repeated VA interviews relating to women of reproductive age in Burkina Faso (n = 91) and Indonesia (n = 116) were analysed for repeatability in terms of interview material, individual causes of death and CSMFs. All the VA data were interpreted using the InterVA-M model, which provides 100% intrinsic repeatability for interpretation, and thus eliminated the need to consider variations or repeatability in physician coding.

Results

The repeatability of the overall VA process from interview to CSMFs was good in both countries. Repeatability was moderate in the interview material, and lower in terms of individual causes of death. Burkinabé data were less repeatable than Indonesian, and repeatability also declined with longer recall periods between the death and interview, particularly after two years.

Conclusion

While these analyses do not address the validity of the VA process in absolute terms, repeatability is a prerequisite for intrinsic validity. This study thus adds new understanding to the quest for reliable cause of death assessment in communities lacking routine medical certification of deaths, and confirms the status of VA as an important and reliable tool at the community level, but perhaps less so at the individual level.