Ascertaining causes of neonatal deaths using verbal autopsy: current methods and challenges

Neonatal mortality rates, characteristics, and risk factors for neonatal deaths in Ghana: analyses of data from two health and demographic surveillance systems

Background

Reducing neonatal mortality rates (NMR) in developing countries is a key global health goal, but weak registration systems in the region stifle public health efforts.

Objective

To calculate NMRs, investigate modifiable risk factors, and explore neonatal deaths by place of birth and death, and cause of death in two administrative areas in Ghana.

Methods

Data on livebirths were extracted from the health and demographic surveillance systems in Navrongo (2004–2012) and Kintampo (2005–2010). Cause of death was determined from neonatal verbal autopsy forms. Univariable and multivariable logistic regression were used to analyse factors associated with neonatal death. Multiple imputations were used to address missing data.

Results

The overall NMR was 18.8 in Navrongo (17,016 live births, 320 deaths) and 12.5 in Kintampo (11,207 live births, 140 deaths). The annual NMR declined in both areas. 54.7% of the births occurred in health facilities. 70.9% of deaths occurred in the first week. The main causes of death were infection (NMR 4.3), asphyxia (NMR 3.7) and prematurity (NMR 2.2). The risk of death was higher among hospital births than home births: Navrongo (adjusted OR 1.14, 95% CI: 1.03–1.25, p = 0.01); Kintampo (adjusted OR 1.76, 95% CI: 1.55–2.00, p < 0.01). However, a majority of deaths occurred at home (Navrongo 61.3%; Kintampo 50.7%). Among hospital births dying in hospital, the leading cause of death was asphyxia; among hospital and home births dying at home, it was infection.

Conclusion

The NMR in these two areas of Ghana reduced over time. Preventing deaths by asphyxia and infection should be prioritised, centred respectively on improving post-delivery care in health facilities and subsequent post-natal care at home.

Application of verbal autopsy in routine civil registration in Lusaka District of Zambia

Background

Ascertaining the causes for deaths occurring outside health facilities is a significant problem in many developing countries where civil registration systems are not well developed or non-functional. Standardized and rigorous verbal autopsy methods is a potential solution to determine the cause of death. We conducted a demonstration project in Lusaka District of Zambia where verbal autopsy (VA) method was implemented in routine civil registration system.

Methods

About 3400 VA interviews were conducted for bodies “brought-in-dead” at Lusaka’s two major teaching hospital mortuaries using a SmartVA questionnaire between October 2017 and September 2018. Probable underlying causes of deaths using VA and cause-specific mortality fractions were determined.. Demographic characteristics were analyzed for each VA-ascertained cause of death.

Results

Opportunistic infections (OIs) associated with HIV/AIDS such as pneumonia and tuberculosis, and malaria were among leading causes of deaths among bodies “brought-in-dead”. Over 21.6 and 26.9% of deaths were attributable to external causes and non-communicable diseases (NCDs), respectively. The VA-ascertained causes of death varied by age-group and sex. External causes were more prevalent among males in middle ages (put an age range like 30–54 years old) and NCDs highly prevalent among those aged 55 years and older.

Conclusions

VA application in civil registration system can provide the much-needed cause of death information for non-facility deaths in countries with under-developed or non-functional civil registration systems.

The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates

The World Health Organization (WHO) has developed a global roadmap to defeat meningitis by 2030. To advocate for and track progress of the roadmap, the burden of meningitis as a syndrome and by pathogen must be accurately defined. Three major global health models estimating meningitis mortality as a syndrome and/or by causative pathogen were identified and compared for the baseline year 2015. Two models, (1) the WHO and the Johns Hopkins Bloomberg School of Public Health’s Maternal and Child Epidemiology Estimation (MCEE) group’s Child Mortality Estimation (WHO-MCEE) and (2) the Institute for Health Metrics and Evaluation (IHME) Global Burden of Disease Study (GBD 2017), identified meningitis, encephalitis and neonatal sepsis, collectively, to be the second and third largest infectious killers of children under five years, respectively. Global meningitis/encephalitis and neonatal sepsis mortality estimates differed more substantially between models than mortality estimates for selected infectious causes of death and all causes of death combined. Estimates at national level and by pathogen also differed markedly between models. Aligning modelled estimates with additional data sources, such as national or sentinel surveillance, could more accurately define the global burden of meningitis and help track progress against the WHO roadmap.

Caregiver acceptability of the guidelines for managing young infants with possible serious bacterial infections (PSBI) in primary care facilities in rural Bangladesh

INTRODUCTION

Many infants with possible serious bacterial infections (PSBI) do not receive inpatient treatment because hospital care may not be affordable, accessible, or acceptable for families. In 2015, WHO issued guidelines for managing PSBI in young infants (0-59 days) with simpler antibiotic regimens when hospital care is not feasible. Bangladesh adopted WHO's guidelines for implementation in outpatient primary health centers. We report results of an implementation research study that assessed caregiver acceptability of the guidelines in three rural sub-districts of Bangladesh during early implementation (October 2015-August 2016).

METHODS

We included 19 outpatient primary health centers involved in the initial rollout of the infection management guidelines. We extracted data for all PSBI cases (N = 192) from facility registers to identify gaps in referral feasibility, simplified antibiotic treatment, and follow-up. Focus group discussions (FGD) and in-depth interviews (IDI) were conducted with both caregivers (6 FGDs; 23 IDIs) and providers (2 FGDs; 28 IDIs) to assess caregiver acceptability of the guidelines.

RESULTS

Referral to the hospital was not feasible for many families (83.3%; N = 160/192) and acceptance varied by infection severity. Barriers to referral feasibility included economic and household factors, and previous experiences with poor quality of care at the sub-district hospital. Conversely, providers and caregivers indicated high acceptability of simplified antibiotic treatment. 80% (N = 96/120) of infants with clinical severe infection for whom referral was not feasible returned to the facility for the second antibiotic injection. Some providers reported developing local solutions-including engaging informal providers in treatment of the infant-to address organizational barriers and promote treatment compliance. Follow-up of young infants receiving simplified treatment is critical, but only 67.4% (N = 87/129) of infants received fourth day follow-up. Some providers' reported deviations from the guidelines that shifted responsibility of follow-up to the caregiver, which may have contributed to lapses.

CONCLUSION

Caregivers' perception of trust and communication with providers were influential in caregiver acceptability of care. Few caregivers accepted referral to the sub-district hospital, suggesting low acceptability of this option. When referral was not feasible, many caregivers reported satisfaction with simplified antibiotic treatment. Local solutions described by providers require further examination in this context to assess the safety and potential value of these strategies in outpatient treatment. Our findings suggest strengthening providers' interpersonal skills could improve caregiver acceptability of the guidelines.

Premature mortality in children aged 6-9 years with neurological impairments in rural Kenya: a cohort study

BACKGROUND

Neurological impairments might significantly contribute to reduced life expectancy in low-income and middle-income countries (LMICs). There are no empirical studies of premature mortality in children with neurological impairments in Africa. This study estimated the risk of premature mortality in children with neurological impairments and identified risk factors and causes of death.

METHODS

We did a cohort study based on a two-stage epidemiological survey in the Kilifi Health and Demographic Surveillance System (Kilifi, Kenya). Study participants were children aged 6-9 years. In the first stage, five trained field workers administered a low-cost screening tool to a random sample of households. In the second stage, we assessed for neurological impairments in five domains (epilepsy, cognitive impairments, vision impairments, hearing impairments, and motor impairments) using comprehensive clinical evaluation and extensive neuropsychological assessments. From the two-stage survey we identified a cohort of children with neurological impairment and a cohort of matched controls. We also enrolled an age-matched sample from the general population. The primary outcome was all-cause mortality. Mortality rates, standardised mortality ratio (SMR), and hazard ratios (HR) for risk factors were estimated and causes of death identified.

FINDINGS

We enrolled 306 children with neurological impairment, 9912 survey controls, and 22 873 age-matched participants from the general population, and followed up the cohorts between June 1, 2001, and Aug 31, 2018. Median follow-up was 14·5 years (IQR 8·6-17·2). 11 (3·9%) of 284 children with neurological impairment, 92 (1·0%) of 9009 controls, and 272 (1·2%) of 22 873 participants in the general population sample died during the follow-up. Overall mortality rates were 309·8 per 100 000 person-years of observation (95% CI 126·7-492·9) in children with neurological impairment, 80·8 per 100 000 person-years of observation (64·3-97·3) in controls, and 98·8 per 100 000 person-years of observation (87·1-110·6) in the general population sample (mortality rate ratio 3·83, 95% CI 2·05-7·16, p<0·001, compared with controls; 3·13, 1·71-5·72, p<0·001, compared with the general population). Mortality risk in children with neurological impairment was not dependent on the severity of impairment (p=0·291) nor on a specific neurological impairment domain (p=0·205). The overall risk of death adjusted for age and sex was higher in children with neurological impairment compared with controls (HR 4·24, 95% CI 2·26-7·94, p=0·002). An SMR of 3·15 (95% CI 1·66-5·49) was obtained after using the general population sample as the reference for indirect standardisation. In multivariable risk factor analysis, developmental delay (adjusted HR 18·92, 95% CI 2·23-160·44, p=0·007) and severe malnutrition (20·92, 3·14-139·11, p=0·002) increased the risk of mortality in children with neurological impairment. Infections such as HIV/AIDS and accidents were common among all decedents.

INTERPRETATION

The risk of premature mortality was higher in children diagnosed with neurological impairments compared with the general population and was increased by developmental delay and severe malnutrition. Child development and nutritional status should be assessed in all children in LMICs and tailored interventions started to improve outcomes.

FUNDING

Wellcome Trust, DELTAS Africa Initiative.

Mortality in schizophrenia: A study of verbal autopsy from cohorts of two rural communities of South India

BACKGROUND

Schizophrenia is a life-shortening disease. Although the rate of mortality of persons with schizophrenia in India is established to be more compared to that in the general population, there is a little exploration of the causes for the same.

AIM

The aim of this study is to explore the causes of death in two rural cohorts of schizophrenia.

MATERIALS AND METHODS

In-person interviews of primary caregivers of 53 deceased persons with schizophrenia were conducted using the World Health Organization's verbal autopsy 2014 instrument. Physician-based method was used to determine the causes of death.

RESULTS

Average age of 53 deceased schizophrenia patients was 50.45 ± 13.65 years with almost equal gender ratio. Just more than two-thirds of patients were married, just more than one-third are educated up to primary school and also had no formal education each. Noncommunicable diseases (NCDs) were the most common causes of death (30, 56.6%) in this sample, followed by communicable disease (7, 13.2%), and then unnatural deaths (suicide - 8, 15%, and road traffic accidents - 3, 5.6%).

CONCLUSIONS

It is the first study in India to explore the causes of death in schizophrenia. NCDs being the most common cause of death in schizophrenia suggests to the need of integration of schizophrenia care into general health care.

Cause-specific mortality in the Kombewa health and demographic surveillance systems site, rural Western Kenya from 2011-2015

BACKGROUND

The vast majority of deaths in the health and Kombewa demographic surveillance system (HDSS) study area are not registered and reported through official systems of vital registration. As a result, few data are available regarding causes of death in this population.

OBJECTIVES

To describe causes of death among residents of all ages in the Kombewa HDSS, located in rural Western Kenya.

METHODS

Verbal autopsy (VA) interviews at the site were conducted using the modified 2007 and later 2012 standardized WHO questionnaires. Assignment of causes of death was made using the InterVA-4 model version 4.02. Cox regression model, adjusted for sex, was built to evaluate the influence of age on mortality.

RESULTS

There were a total of 5196 deaths recorded between 2011 and 2015 at the site. VA interviews were successfully completed for 3903 of these deaths (75.1%). Mortality rates were highest among neonates HR = 38.54 (<0.001) and among Infants HR = 2.07 (<0.006) in the Kombewa HDSS. Among those deaths in which VA was performed, the top causes of death were HIV/AIDS (12.6%), Malaria (10.3%), Pneumonia (10.1%), Acute abdomen (7.0%), Stroke (5.2%) and TB (4.9%) for the whole population in general. Stroke, acute abdomen heart diseases and Pneumonia were common causes of death (CODs) among the elderly over the age of 65.

CONCLUSIONS

The analysis established the main CODs among people of all ages within the area served by the Kombewa HDSS. We hope that information generated from this study will help better address preventable deaths in the surveyed community as well as help mitigate negative health impacts in other rural communities throughout the Western Kenya region.

Husband's involvement with mother's awareness and knowledge of newborn danger signs in facility-based childbirth settings: a cross-sectional study from rural Bangladesh

Objective

The aim of this study was to examine the association between husband involvement and maternal awareness and knowledge of newborn danger signs. This cross-sectional study was conducted in three rural hospitals of Bangladesh among the recently delivered women (RDW).

Results

RDW were interviewed to determine their knowledge and understanding of seven key neonatal danger signs. About 51.4% of the respondents were able to identify at least one danger sign. ‘Fever’ was the most correctly identified (43.7%), and hypothermia was the least (26.1%) identified danger sign. The factors associated with RDW possessing knowledge of at least one neonatal danger sign were: secondary education (COR: 1.3, 95% CI 1.1–1.6), increased ANC visits (COR: 1.2, 95% CI 1.1–1.3), previous history of facility delivery (COR: 1.3, 95% CI 1.1–1.4), and husband involvement in the mother’s facility delivery (COR: 1.3, 95% CI 1.1–1.5). RDW were more likely to recall at least one newborn danger sign (AOR: 1.2, 95% CI 1.1–1.4) when the husband was actively involved in his wife’s antenatal, delivery and postnatal care. In conclusion, this study found that husband involvement was significantly associated with the maternal knowledge related to identification of neonatal danger signs.

Electronic supplementary material

The online version of this article (10.1186/s13104-018-3386-6) contains supplementary material, which is available to authorized users.

Missed Opportunities in Neonatal Deaths in Rwanda: Applying the Three Delays Model in a Cross-Sectional Analysis of Neonatal Death

Objective Administered in a timely manner, current evidence-based interventions could reduce neonatal deaths from infections, intrapartum injuries and complications due to prematurity. The three delays model (delay in seeking care, in arriving at a health facility, and in receiving adequate care), which has been applied to understanding maternal deaths, may be useful for understanding neonatal deaths. We assess the main causes of neonatal deaths in Rwanda and their associated delays. Methods Using a cross-sectional study design, we evaluated data from 2012 from 40 facilities in which babies were delivered. Audit committees in each facility reviewed each neonatal death in the facility and reported finding to the Ministry of Health using structured questionnaires. Information from questionnaires were centralized in an electronic database. At the end of 2012, records from 40 health facilities across Rwanda's five provinces (mainly district hospitals) were available in the database and were used for this analysis. Results Of the 1324 neonates, the major causes of death were: asphyxia and its complications (36.7%), lower respiratory tract infections (LRTI) (22.5%), and prematurity (22.4%). At least one delay was experienced by nearly three-quarters of neonates: Maternal Delay in Seeking Care 22.1%, Maternal Delay in Arrival to Care 11.2%, Maternal Delay in Adequate Care 14.2%, Neonatal Delay in Seeking Care 8.1%, Neonatal Delay in Arrival to Care 9.3%, and Neonatal Delay in Adequate Care 29.1%. Neonates with each of the main causes of death had statistically significantly increased odds of experiencing Maternal Delay in Seeking Care. Asphyxia deaths had increased odds of experiencing all three Maternal Delays. LRTI deaths had increased odds of all three Neonatal Delays. Conclusion Delays for women in seeking obstetrical care is a critical factor associated with the main causes of neonatal death in Rwanda. Improving obstetrical care quality could reduce neonatal deaths due to asphyxia. Likewise, reducing all three delays could reduce neonatal deaths due to LRTI.

Tuberculosis and HIV are the leading causes of adult death in northwest Ethiopia: evidence from verbal autopsy data of Dabat health and demographic surveillance system, 2007-2013

BACKGROUND

Reliable data on causes of death form the basis for building evidence on health policy, planning, monitoring, and evaluation. In Ethiopia, the majority of deaths occur at home and civil registration systems are not yet functional. The main objective of verbal autopsy (VA) is to describe the causes of death at the community or population level where civil registration and death certification systems are weak and where most people die at home without having had contact with the health system.

METHODS

Causes of death were classified and prepared based on the International Classification of Diseases (ICD-10). The cause of a death was ascertained based on an interview with next of kin or other caregivers using a standardized questionnaire that draws information on signs, symptoms, medical history, and circumstances preceding death. The cause of death, or the sequence of causes that led to death, is assigned based on the data collected by the questionnaire. The complete VA questionnaires were given to two blinded physicians and reviewed independently. A third physician was assigned to review the case when disagreements in diagnosis arose.

RESULTS

Communicable diseases (519 deaths [48.0%]), non-communicable diseases (377 deaths [34.8%]), and external causes (113 deaths [10.4%]) were the main causes of death between 2007 and 2013. Of communicable diseases, tuberculosis (207 deaths [19.7%]), HIV/AIDS (96 deaths [8.9%]) and meningitis (76 deaths [7.0%]) were the most common causes of death.

CONCLUSION

Tuberculosis, HIV/AIDS, and meningitis were the most common causes of deaths among adults. Death due to non-communicable diseases showed an increasing trend. Increasing community awareness of infections and their interrelationships, tuberculosis case finding, effective local TB programs, successful treatment, and interventions for HIV are supremely important.

The Global Network Neonatal Cause of Death algorithm for low-resource settings

AIM

This study estimated the causes of neonatal death using an algorithm for low-resource areas, where 98% of the world's neonatal deaths occur.

METHODS

We enrolled women in India, Pakistan, Guatemala, the Democratic Republic of Congo, Kenya and Zambia from 2014 to 2016 and tracked their delivery and newborn outcomes for up to 28 days. Antenatal care and delivery symptoms were collected using a structured questionnaire, clinical observation and/or a physical examination. The Global Network Cause of Death algorithm was used to assign the cause of neonatal death, analysed by country and day of death.

RESULTS

One-third (33.1%) of the 3068 neonatal deaths were due to suspected infection, 30.8% to prematurity, 21.2% to asphyxia, 9.5% to congenital anomalies and 5.4% did not have a cause of death assigned. Prematurity and asphyxia-related deaths were more common on the first day of life (46.7% and 52.9%, respectively), while most deaths due to infection occurred after the first day of life (86.9%). The distribution of causes was similar to global data reported by other major studies.

CONCLUSION

The Global Network algorithm provided a reliable cause of neonatal death in low-resource settings and can be used to inform public health strategies to reduce mortality.

Effect of community-based newborn care on cause-specific neonatal mortality in Sylhet district, Bangladesh: findings of a cluster-randomized controlled trial

OBJECTIVES

Community-based maternal and newborn intervention packages have been shown to reduce neonatal mortality in resource-constrained settings. This analysis uses data from a large community-based cluster-randomized trial to assess the impact of a community-based package on cause-specific neonatal mortality and draws programmatic and policy implications. In addition, the study shows that cause-specific mortality estimates vary substantially based on the hierarchy used in assigning cause of death, which also has important implications for program planning. Therefore, understanding the methods of assigning causes of deaths is important, as is the development of new methodologies that account for multiple causes of death. The objective of this study was to estimate the effect of two service delivery strategies (home care and community care) for a community-based package of maternal and neonatal health interventions on cause-specific neonatal mortality rates in a rural district of Bangladesh.

STUDY DESIGN

Within the general community of the Sylhet district in rural northeast Bangladesh. Pregnancy histories were collected from a sample of women in the study area during the year preceding the study (2002) and from all women who reported a pregnancy outcome during the intervention in years 2004 to 2005. All families that reported a neonatal death during these time periods were asked to complete a verbal autopsy interview. Expert algorithms with two different hierarchies were used to assign causes of neonatal death, varying in placement of the preterm/low birth weight category within the hierarchy (either third or last). The main outcome measure was cause-specific neonatal mortality.

RESULT

Deaths because of serious infections in the home-care arm declined from 13.6 deaths per 1000 live births during the baseline period to 7.2 during the intervention period according to the first hierarchy (preterm placed third) and from 23.6 to 10.6 according to the second hierarchy (preterm placed last).

CONCLUSION

This study confirms the high burden of neonatal deaths because of infection in low resource rural settings like Bangladesh, where most births occur at home in the absence of skilled birth attendance and care seeking for newborn illnesses is low. The study demonstrates that a package of community-based neonatal health interventions, focusing primarily on infection prevention and management, can substantially reduce infection-related neonatal mortality.

Direct estimates of national neonatal and child cause-specific mortality proportions in Niger by expert algorithm and physician-coded analysis of verbal autopsy interviews

BACKGROUND

This study was one of a set of verbal autopsy investigations undertaken by the WHO/UNCEF-supported Child Health Epidemiology Reference Group (CHERG) to derive direct estimates of the causes of neonatal and child deaths in high priority countries of sub-Saharan Africa. The objective of the study was to determine the cause distributions of neonatal (0-27 days) and child (1-59 months) mortality in Niger.

METHODS

Verbal autopsy interviews were conducted of random samples of 453 neonatal deaths and 620 child deaths from 2007 to 2010 identified by the 2011 Niger National Mortality Survey. The cause of each death was assigned using two methods: computerized expert algorithms arranged in a hierarchy and physician completion of a death certificate for each child. The findings of the two methods were compared to each other, and plausibility checks were conducted to assess which is the preferred method. Comparison of some direct measures from this study with CHERG modeled cause of death estimates are discussed.

FINDINGS

The cause distributions of neonatal deaths as determined by expert algorithms and the physician were similar, with the same top three causes by both methods and all but two other causes within one rank of each other. Although child causes of death differed more, the reasons often could be discerned by analyzing algorithmic criteria alongside the physician's application of required minimal diagnostic criteria. Including all algorithmic (primary and co-morbid) and physician (direct, underlying and contributing) diagnoses in the comparison minimized the differences, with kappa coefficients greater than 0.40 for five of 11 neonatal diagnoses and nine of 13 child diagnoses. By algorithmic diagnosis, early onset neonatal infection was significantly associated (χ(2) = 13.2, P < 0.001) with maternal infection, and the geographic distribution of child meningitis deaths closely corresponded with that for meningitis surveillance cases and deaths.

CONCLUSIONS

Verbal autopsy conducted in the context of a national mortality survey can provide useful estimates of the cause distributions of neonatal and child deaths. While the current study found reasonable agreement between the expert algorithm and physician analyses, it also demonstrated greater plausibility for two algorithmic diagnoses and validation work is needed to ascertain the findings. Direct, large-scale measurement of causes of death complement, can strengthen, and in some settings may be preferred over modeled estimates.

Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model

Background

The vast majority of deaths in the Kilifi study area are not recorded through official systems of vital registration. As a result, few data are available regarding causes of death in this population.

Objective

To describe the causes of death (CODs) among residents of all ages within the Kilifi Health and Demographic Surveillance System (KHDSS) on the coast of Kenya.

Design

Verbal autopsies (VAs) were conducted using the 2007 World Health Organization (WHO) standard VA questionnaires, and VA data further transformed to align with the 2012 WHO VA instrument. CODs were then determined using the InterVA-4 computer-based probabilistic model.

Results

Five thousand one hundred and eighty seven deaths were recorded between January 2008 and December 2011. VA interviews were completed for 4,460 (86%) deaths. Neonatal pneumonia and birth asphyxia were the main CODs in neonates; pneumonia and malaria were the main CODs among infants and children aged 1–4, respectively, while HIV/AIDS was the main COD for adult women of reproductive age. Road traffic accidents were more commonly observed among men than women. Stroke and neoplasms were common CODs among the elderly over the age of 65.

Conclusions

We have established the main CODs among people of all ages within the area served by the KHDSS on the coast of Kenya using the 2007 WHO VA questionnaire coded using InterVA-4. We hope that our data will allow local health planners to estimate the burden of various diseases and to allocate their limited resources more appropriately.

The contribution of reduction in malaria as a cause of rapid decline of under-five mortality: evidence from the Rufiji Health and Demographic Surveillance System (HDSS) in rural Tanzania

Background

Under-five mortality has been declining rapidly in a number of sub-Saharan African settings. Malaria-related mortality is known to be a major component of childhood causes of death and malaria remains a major focus of health interventions. The paper explored the contribution of malaria relative to other specific causes of under-five deaths to these trends.

Methods

This paper uses longitudinal demographic surveillance data to examine trends and causes of death of under-five mortality in Rufiji, whose population has been followed for over nine years (1999–2007). Causes of death, determined by the verbal autopsy technique, are analysed with Arriaga’s decomposition method to assess the contribution of declining malaria-related mortality relative to other causes of death as explaining a rapid decline in overall childhood mortality.

Results

Over the 1999–2007 period, under-five mortality rate in Rufiji declined by 54.3%, from 33.3 to 15.2 per 1,000 person-years. If this trend is sustained, Rufiji will be a locality that achieves MDG4 target. Although hypotrophy at birth remained the leading cause of death for neonates, malaria remains as the leading cause of death for post-neonates followed by pneumonia. However, declines in malaria death rates accounted for 49.9% of the observed under-five mortality decline while all perinatal causes accounted for only 19.9%.

Conclusion

To achieve MDG 4 in malaria endemic settings, health programmes should continue efforts to reduce malaria mortality and more efforts are also needed to improve newborn survival.

Effect of Facilitation of Local Maternal-and-Newborn Stakeholder Groups on Neonatal Mortality: Cluster-Randomized Controlled Trial

BACKGROUND

Facilitation of local women's groups may reportedly reduce neonatal mortality. It is not known whether facilitation of groups composed of local health care staff and politicians can improve perinatal outcomes. We hypothesised that facilitation of local stakeholder groups would reduce neonatal mortality (primary outcome) and improve maternal, delivery, and newborn care indicators (secondary outcomes) in Quang Ninh province, Vietnam.

METHODS AND FINDINGS

In a cluster-randomized design 44 communes were allocated to intervention and 46 to control. Laywomen facilitated monthly meetings during 3 years in groups composed of health care staff and key persons in the communes. A problem-solving approach was employed. Births and neonatal deaths were monitored, and interviews were performed in households of neonatal deaths and of randomly selected surviving infants. A latent period before effect is expected in this type of intervention, but this timeframe was not pre-specified. Neonatal mortality rate (NMR) from July 2008 to June 2011 was 16.5/1,000 (195 deaths per 11,818 live births) in the intervention communes and 18.4/1,000 (194 per 10,559 live births) in control communes (adjusted odds ratio [OR] 0.96 [95% CI 0.73-1.25]). There was a significant downward time trend of NMR in intervention communes (p = 0.003) but not in control communes (p = 0.184). No significant difference in NMR was observed during the first two years (July 2008 to June 2010) while the third year (July 2010 to June 2011) had significantly lower NMR in intervention arm: adjusted OR 0.51 (95% CI 0.30-0.89). Women in intervention communes more frequently attended antenatal care (adjusted OR 2.27 [95% CI 1.07-4.8]).

CONCLUSIONS

A randomized facilitation intervention with local stakeholder groups composed of primary care staff and local politicians working for three years with a perinatal problem-solving approach resulted in increased attendance to antenatal care and reduced neonatal mortality after a latent period.

Using three delays model to understand the social factors responsible for neonatal deaths in rural Haryana, India

OBJECTIVE

To investigate causes of and contributors to newborn deaths in rural Haryana using a three delays audit approach.

METHODS

The study was conducted in 28 villages under the rural field practice area of the Comprehensive Rural Health Services Project, All India Institute of Medical Sciences situated in Ballabgarh, Haryana. Data were collected through house visits and analysed using the three delays model.

RESULTS

Of the 50 newborn deaths investigated, 44% occurred within the first 24 h after birth. The leading causes of death were pre-term/low birthweight (32%), birth asphyxia (28%) and neonatal sepsis (14%). Major contributing delays to neonatal death were caretaker's delay in deciding to seek care (44%, 22/50) and delay in reaching a health care facility, i.e. the transport delay (34%, 17/50).

CONCLUSIONS

Household and transport-related delays were the major contributors to newborn deaths, and efforts to improve newborn survival need to address both concurrently.

Accuracy of WHO verbal autopsy tool in determining major causes of neonatal deaths in India

Objectives

This study was conducted to evaluate the performance of World Health Organisation (WHO) verbal autopsy tool in determining major causes of neonatal deaths.

Methods

From a tertiary care hospital and a government multispecialty hospital, the attending paediatricians ascertained a clinical cause of death for 371 neonatal deaths. Trained field workers conducted verbal autopsy (VA) interviews. Two independent paediatricians, who had no access to the clinical information, assigned cause of death as per verbal autopsy. Analysis was based on 313 cases in which both clinical diagnosis and VA diagnosis was obtained.

Findings

As per the clinical diagnosis, four most common causes of neonatal deaths were sepsis (29.1%), preterm birth (27.8%), birth asphyxia (27.2%), and congenital anomalies (11.5%). Cause specific mortality fractions by VA diagnosis were statistically similar to those obtained by clinical diagnosis except for birth asphyxia (16.3%). Diagnostic accuracy of verbal autopsy diagnosis against clinical diagnosis ranged from 78% to 92% in ascertaining different underlying causes of death. Area under the Receiver-Operator Characteristics curve (95% confidence interval) was 0.75 (0.69–0.80) for sepsis, 0.74 (0.68–0.80) for preterm birth, 0.73 (0.65–0.82) for congenital anomaly and 0.70 (0.64–0.75) for birth asphyxia. Kappa for all four causes was moderate (0.46–0.55).

Interpretation

The WHO verbal autopsy tools can provide reasonably good estimates of predominant causes of neonatal deaths in countries where neonatal mortality is high. Caution is required to interpret cause specific mortality fraction (CSMF) for birth asphyxia by VA because it is likely to be an underestimate.

Causes of community stillbirths and early neonatal deaths in low-income countries using verbal autopsy: an International, Multicenter Study

OBJECTIVE

Six million stillbirths (SB) and early neonatal deaths (END) occur annually worldwide, mostly in rural settings distant from health facilities. We used verbal autopsy (VA), to understand causes of non-hospital, community-based SB and END from four low-income countries.

STUDY DESIGN

This prospective observational study utilized the train-the-trainer method. VA interviewers conducted standardized interviews; in each country data were reviewed by two local physicians who assigned an underlying causes of deaths (COD).

RESULT

There were 252 perinatal deaths (118 END; 134 SB) studied from pooled data. Almost half (45%) the END occurred on postnatal day 1, 19% on the second day and 16% the third day. Major early neonatal COD were infections (49%), birth asphyxia (26%), prematurity (17%) and congenital malformations (3%). Major causes of SB were infection (37%), prolonged labor (11%), antepartum hemorrhage (10%), preterm delivery (7%), cord complications (6%) and accidents (5%).

CONCLUSION

Many of these SB and END were from easily preventable causes. Over 80% of END occurred during the first 3 days of postnatal life, and >90% were due to infection, birth asphyxia and prematurity. The causes of SB were more varied, and maternal infections were the most common cause. Increased attention should be targeting at interventions that reduce maternal and neonatal infections and prevent END, particularly during the first 3 days of life.

Causes of neonatal death: results from NeoKIP community-based trial in Quang Ninh province, Vietnam

AIM

To ascertain the causes of neonatal death in a province in northern Vietnam and analyse their distribution over age at death, birth weight and place of delivery.

METHODS

Verbal autopsy interviews using a questionnaire derived from WHO standard and adapted to Vietnamese conditions was performed on all neonatal deaths occurring in Quang Ninh province from July 2008 to June 2010. Three experienced paediatricians independently reviewed all verbal autopsy records (233) and assigned a main cause of death. In case of disagreement in the allocation of cause of death, a consensus process was initiated to decide on a final cause.

RESULTS

Neonatal mortality rate within the study area was 16/1000 (238 neonatal deaths and 14,453 live births) over the study period. Prematurity/low birth-weight (37.8%), intrapartum-related neonatal deaths (birth asphyxia, 33.2%), infections (13.0%) and congenital malformation (6.7%) were the four leading causes of death. Four cases of neonatal tetanus were found. Intrapartum-related deaths dominated in the home delivery group, whereas prematurity was the most prominent cause of death at all facility levels. Most neonatal deaths occurred within the first 24 h after delivery (58.6%).

CONCLUSION

A high proportion of deaths due to prematurity and intrapartum-related causes, calls for improvements of delivery care and resuscitation practices at health facilities.

Birth attendants as perinatal verbal autopsy respondents in low- and middle-income countries: a viable alternative?

OBJECTIVE

To assess the feasibility of using birth attendants instead of bereaved mothers as perinatal verbal autopsy respondents.

METHODS

Verbal autopsy interviews for early neonatal deaths and stillbirths were conducted separately among mothers (reference standard) and birth attendants in 38 communities in four developing countries. Concordance between maternal and attendant responses was calculated for all questions, for categories of questions and for individual questions. The sensitivity and specificity of individual questions with the birth attendant as respondent were assessed.

FINDINGS

For early neonatal deaths, concordance across all questions was 94%. Concordance was at least 95% for more than half the questions on maternal medical history, birth attendance and neonate characteristics. Concordance on any given question was never less than 80%. Sensitivity and specificity varied across individual questions, more than 80% of which had a sensitivity of at least 80% and a specificity of at least 90%. For stillbirths, concordance across all questions was 93%. Concordance was 95% or greater more than half the time for questions on birth attendance, site of delivery and stillborn characteristics. Sensitivity and specificity varied across individual questions. Over 60% of the questions had a sensitivity of at least 80% and over 80% of them had a specificity of at least 90%. Overall, the causes of death established through verbal autopsy were similar, regardless of respondent.

CONCLUSION

Birth attendants can substitute for bereaved mothers as verbal autopsy respondents. The questions in existing harmonized verbal autopsy questionnaires need further refinement, as their sensitivity and specificity differ widely.

Verbal autopsy completion rate and factors associated with undetermined cause of death in a rural resource-poor setting of Tanzania

BACKGROUND

Verbal autopsy (VA) is a widely used tool to assign probable cause of death in areas with inadequate vital registration systems. Its uses in priority setting and health planning are well documented in sub-Saharan Africa (SSA) and Asia. However, there is a lack of data related to VA processing and completion rates in assigning causes of death in a community. There is also a lack of data on factors associated with undetermined causes of death documented in SSA. There is a need for such information for understanding the gaps in VA processing and better estimating disease burden.

OBJECTIVE

The study's intent was to determine the completion rate of VA and factors associated with assigning undetermined causes of death in rural Tanzania.

METHODS

A database of deaths reported from the Ifakara Health and Demographic Surveillance System from 2002 to 2007 was used. Completion rates were determined at the following stages of processing: 1) death identified; 2) VA interviews conducted; 3) VA forms submitted to physicians; 4) coding and assigning of cause of death. Logistic regression was used to determine factors associated with deaths coded as "undetermined."

RESULTS

The completion rate of VA after identification of death and the VA interview ranged from 83% in 2002 and 89% in 2007. Ninety-four percent of deaths submitted to physicians were assigned a specific cause, with 31% of the causes coded as undetermined. Neonates and child deaths that occurred outside health facilities were associated with a high rate of undetermined classification (33%, odds ratio [OR] = 1.33, 95% confidence interval [CI] (1.05, 1.67), p = 0.016). Respondents reporting high education levels were less likely to be associated with deaths that were classified as undetermined (24%, OR = 0.76, 95% CI (0.60, -0.96), p = 0.023). Being a child of the deceased compared to a partner (husband or wife) was more likely to be associated with undetermined cause of death classification (OR = 1.35, 95% CI (1.04, 1.75), p = 0.023).

CONCLUSION

Every year, there is a high completion rate of VA in the initial stages of processing; however, a number of VAs are lost during the processing. Most of the losses occur at the final step, physicians' determination of cause of death. The type of respondent and place of death had a significant effect on final determination of the plausible cause of death. The finding provides some insight into the factors affecting full coverage of verbal autopsy diagnosis and the limitations of causes of death based on VA in SSA. Although physician review is the most commonly used method in ascertaining probable cause of death, we suggest further work needs to be done to address the challenges faced by physicians in interpreting VA forms. There is need for an alternative to or improvement of the methods of physician review.

Trends in causes of death among children under 5 in Bangladesh, 1993-2004: an exercise applying a standardized computer algorithm to assign causes of death using verbal autopsy data

Background

Trends in the causes of child mortality serve as important global health information to guide efforts to improve child survival. With child mortality declining in Bangladesh, the distribution of causes of death also changes. The three verbal autopsy (VA) studies conducted with the Bangladesh Demographic and Health Surveys provide a unique opportunity to study these changes in child causes of death.

Methods

To ensure comparability of these trends, we developed a standardized algorithm to assign causes of death using symptoms collected through the VA studies. The original algorithms applied were systematically reviewed and key differences in cause categorization, hierarchy, case definition, and the amount of data collected were compared to inform the development of the standardized algorithm. Based primarily on the 2004 cause categorization and hierarchy, the standardized algorithm guarantees comparability of the trends by only including symptom data commonly available across all three studies.

Results

Between 1993 and 2004, pneumonia remained the leading cause of death in Bangladesh, contributing to 24% to 33% of deaths among children under 5. The proportion of neonatal mortality increased significantly from 36% (uncertainty range [UR]: 31%-41%) to 56% (49%-62%) during the same period. The cause-specific mortality fractions due to birth asphyxia/birth injury and prematurity/low birth weight (LBW) increased steadily, with both rising from 3% (2%-5%) to 13% (10%-17%) and 10% (7%-15%), respectively. The cause-specific mortality rates decreased significantly due to neonatal tetanus and several postneonatal causes (tetanus: from 7 [4-11] to 2 [0.4-4] per 1,000 live births (LB); pneumonia: from 26 [20-33] to 15 [11-20] per 1,000 LB; diarrhea: from 12 [8-17] to 4 [2-7] per 1,000 LB; measles: from 5 [2-8] to 0.2 [0-0.7] per 1,000 LB; injury: from 11 [7-17] to 3 [1-5] per 1,000 LB; and malnutrition: from 9 [6-13] to 5 [2-7]).

Conclusions

Pneumonia remained the top killer of children under 5 in Bangladesh between 1993 and 2004. The increasing importance of neonatal survival is highlighted by the growing contribution of neonatal deaths and several neonatal causes. Notwithstanding the limitations, standardized computer-based algorithms remain a promising tool to generate comparable causes of child death using VA 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.

Causes of stillbirth, neonatal death and early childhood death in rural Zambia by verbal autopsy assessments

OBJECTIVES

To describe specific causes of the high rates of stillbirth, neonatal death and early child childhood death in Zambia.

METHODS

We conducted a household-based survey in rural Zambia. Socio-demographic and delivery characteristics were recorded, alongside a maternal HIV test. Verbal autopsy questionnaires were administered to elicit mortality-related information and independently reviewed by three experienced paediatricians who assigned a cause and contributing factor to death. For this secondary analysis, deaths were categorized into: stillbirths (foetal death ≥28 weeks of gestation), neonatal deaths (≤28 days) and early childhood deaths (>28 days to <2 years).

RESULTS

Among 1679 households, information was collected on 148 deaths: 34% stillbirths, 26% neonatal and 40% early childhood deaths. Leading identifiable causes of stillbirth were intrauterine infection (26%) and birth asphyxia (18%). Of 32 neonatal deaths, 38 (84%) occurred within the first week of life, primarily because of infections (37%) and prematurity (34%). The majority of early childhood deaths were caused by suspected bacterial infections (82%). HIV prevalence was significantly higher in mothers who reported an early childhood death (44%) than mothers who did not (17%; P < 0.01). Factors significantly associated with mortality were lower socio-economic status (P < 0.01), inadequate water or sanitation facilities (P < 0.01), home delivery (P = 0.04) and absence of a trained delivery attendant (P < 0.01).

CONCLUSION

We provide community-level data about the causes of death among children under 2 years of age. Infectious etiologies for mortality ranked highest. At a public health level, such information may have an important role in guiding prevention and treatment strategies to address perinatal and early childhood mortality.

The epidemiology of 'bewitchment' as a lay-reported cause of death in rural South Africa

BACKGROUND

Cases of premature death in Africa may be attributed to witchcraft. In such settings, medical registration of causes of death is rare. To fill this gap, verbal autopsy (VA) methods record signs and symptoms of the deceased before death as well as lay opinion regarding the cause of death; this information is then interpreted to derive a medical cause of death. In the Agincourt Health and Demographic Surveillance Site, South Africa, around 6% of deaths are believed to be due to 'bewitchment' by VA respondents.

METHODS

Using 6874 deaths from the Agincourt Health and Socio-Demographic Surveillance System, the epidemiology of deaths reported as bewitchment was explored, and using medical causes of death derived from VA, the association between perceptions of witchcraft and biomedical causes of death was investigated.

RESULTS

The odds of having one's death reported as being due to bewitchment is significantly higher in children and reproductive-aged women (but not in men) than in older adults. Similarly, sudden deaths or those following an acute illness, deaths occurring before 2001 and those where traditional healthcare was sought are more likely to be reported as being due to bewitchment. Compared with all other deaths, deaths due to external causes are significantly less likely to be attributed to bewitchment, while maternal deaths are significantly more likely to be.

CONCLUSIONS

Understanding how societies interpret the essential factors that affect their health and how health seeking is influenced by local notions and perceived aetiologies of illness and death could better inform sustainable interventions and health promotion efforts.

An alternative strategy for perinatal verbal autopsy coding: single versus multiple coders

OBJECTIVE

To determine the comparability between cause of death (COD) by a single physician coder and a two-physician panel, using verbal autopsy.

METHODS

The study was conducted between May 2007 and June 2008. Within a week of a perinatal death in 38 rural remote communities in Guatemala, the Democratic Republic of Congo, Zambia and Pakistan, VA questionnaires were completed. Two independent physicians, unaware of the others decisions, assigned an underlying COD, in accordance with the causes listed in the chapter headings of the International classification diseases and related health problems, 10th revision (ICD-10). Cohen's kappa statistic was used to assess level of agreement between physician coders.

RESULTS

There were 9461 births during the study period; 252 deaths met study enrolment criteria and underwent verbal autopsy. Physicians assigned the same COD for 75% of stillbirths (SB) (K = 0.69; 95% confidence interval: 0.61-0.78) and 82% early neonatal deaths (END) (K = 0.75; 95% confidence interval: 0.65-0.84). The patterns and proportion of SBs and ENDs determined by the physician coders were very similar compared to causes individually assigned by each physician. Similarly, rank order of the top five causes of SB and END was identical for each physician.

CONCLUSION

This study raises important questions about the utility of a system of multiple coders that is currently widely accepted and speculates that a single physician coder may be an effective and economical alternative to VA programmes that use traditional two-physician panels to assign COD.

Levels, timing, and etiology of stillbirths in Sylhet district of Bangladesh

BACKGROUND

Lack of data is a critical barrier to addressing the problem of stillbirth in countries with the highest stillbirth burden. Our study objective was to estimate the levels, types, and causes of stillbirth in rural Sylhet district of Bangladesh.

METHODS

A complete pregnancy history was taken from all women (n=39 998) who had pregnancy outcomes during 2003-2005 in the study area. Verbal autopsy data were obtained for all identified stillbirths during the period. We used pre-defined case definitions and computer programs to assign causes of stillbirth for selected causes containing specific signs and symptoms. Both non-hierarchical and hierarchical approaches were used to assign causes of stillbirths.

RESULTS

A total of 1748 stillbirths were recorded during 2003-2005 from 48,192 births (stillbirth rate: 36.3 per 1000 total births). About 60% and 40% of stillbirths were categorized as antepartum and intrapartum, respectively. Maternal conditions, including infections, hypertensive disorders, and anemia, contributed to about 29% of total antepartum stillbirths. About 50% of intrapartum stillbirths were attributed to obstetric complications. Maternal infections and hypertensive disorders contributed to another 11% of stillbirths. A cause could not be assigned in nearly half (49%) of stillbirths.

CONCLUSION

The stillbirth rate is high in rural Bangladesh. Based on algorithmic approaches using verbal autopsy data, a substantial portion of stillbirths is attributable to maternal conditions and obstetric complications. Programs need to deliver community-level interventions to prevent and manage maternal complications, and to develop strategies to improve access to emergency obstetric care. Improvements in care to avert stillbirth can be accomplished in the context of existing maternal and child health programs. Methodological improvements in the measurement of stillbirths, especially causes of stillbirths, are also needed to better define the burden of stillbirths in low-resource settings.

3.6 million neonatal deaths--what is progressing and what is not?

Each year 3.6 million infants are estimated to die in the first 4 weeks of life (neonatal period)--but the majority continue to die at home, uncounted. This article reviews progress for newborn health globally, with a focus on the countries in which most deaths occur--what data do we have to guide accelerated efforts? All regions are advancing, but the level of decrease in neonatal mortality differs by region, country, and within countries. Progress also differs by the main causes of neonatal death. Three major causes of neonatal deaths (infections, complications of preterm birth, and intrapartum-related neonatal deaths or "birth asphyxia") account for more than 80% of all neonatal deaths globally. The most rapid reductions have been made in reducing neonatal tetanus, and there has been apparent progress towards reducing neonatal infections. Limited, if any, reduction has been made in reducing global deaths from preterm birth and for intrapartum-related neonatal deaths. High-impact, feasible interventions to address these 3 causes are summarized in this article, along with estimates of potential for lives saved. A major gap is reaching mothers and babies at birth and in the early postnatal period. There are promising community-based service delivery models that have been tested mainly in research studies in Asia that are now being adapted and evaluated at scale and also being tested through a network of African implementation research trials. To meet Millennium Development Goal 4, more can and must be done to address neonatal deaths. A critical step is improving the quantity, quality and use of data to select and implement the most effective interventions and strengthen existing programs, especially at district level.

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.

Using the three delays model to understand why newborn babies die in eastern Uganda

OBJECTIVES

To investigate causes of and contributors to newborn deaths in eastern Uganda using a three delays audit approach. Methods Data collected on 64 neonatal deaths from a demographic surveillance site were coded for causes of deaths using a hierarchical model and analysed using a modified three delays model to determine contributing delays. A survey was conducted in 16 health facilities to determine capacity for newborn care.

RESULTS

Of the newborn babies, 33% died in a hospital/health centre, 13% in a private clinic and 54% died away from a health facility. 47% of the deaths occurred on the day of birth and 78% in the first week. Major contributing delays to newborn death were caretaker delay in problem recognition or in deciding to seek care (50%, 32/64); delay to receive quality care at a health facility (30%; 19/64); and transport delay (20%; 13/64). The median time to seeking care outside the home was 3 days from onset of illness (IQR 1-6). The leading causes of death were sepsis or pneumonia (31%), birth asphyxia (30%) and preterm birth (25%). Health facilities did not have capacity for newborn care, and health workers had correct knowledge on only 31% of the survey questions related to newborn care.

CONCLUSIONS

Household and health facility-related delays were the major contributors to newborn deaths, and efforts to improve newborn survival need to address both concurrently. Understanding why newborn babies die can be improved by using the three delays model, originally developed for understanding maternal death.

Designing verbal autopsy studies

BACKGROUND

Verbal autopsy analyses are widely used for estimating cause-specific mortality rates (CSMR) in the vast majority of the world without high-quality medical death registration. Verbal autopsies -- survey interviews with the caretakers of imminent decedents -- stand in for medical examinations or physical autopsies, which are infeasible or culturally prohibited.

METHODS AND FINDINGS

We introduce methods, simulations, and interpretations that can improve the design of automated, data-derived estimates of CSMRs, building on a new approach by King and Lu (2008). Our results generate advice for choosing symptom questions and sample sizes that is easier to satisfy than existing practices. For example, most prior effort has been devoted to searching for symptoms with high sensitivity and specificity, which has rarely if ever succeeded with multiple causes of death. In contrast, our approach makes this search irrelevant because it can produce unbiased estimates even with symptoms that have very low sensitivity and specificity. In addition, the new method is optimized for survey questions caretakers can easily answer rather than questions physicians would ask themselves. We also offer an automated method of weeding out biased symptom questions and advice on how to choose the number of causes of death, symptom questions to ask, and observations to collect, among others.

CONCLUSIONS

With the advice offered here, researchers should be able to design verbal autopsy surveys and conduct analyses with greatly reduced statistical biases and research costs.

Can mothers recognize neonatal illness correctly? Comparison of maternal report and assessment by community health workers in rural Bangladesh

OBJECTIVES

To validate maternal recognition of neonatal illnesses at home compared to assessment by community health workers (CHWs) during routine household surveillance for neonatal illness in rural Bangladesh.

METHODS

Surveillance in the intervention arm of two cluster-randomized, controlled trials of newborn interventions conducted in Sylhet and Mirzapur districts of Bangladesh. CHWs promoted birth and newborn care preparedness during two prenatal visits, including recognition of neonatal illnesses. CHWs assessed 8472 neonates on post-natal days 0, 3, and 6 between 2004 and 2005 in Sylhet, and 7587 neonates on post-natal days 0, 2, 5, and 8 between 2004 and 2006 in Mirzapur. In both sites, CHW identified neonates with very severe disease (VSD), using clinical algorithms that included ascertainment of illness history reported by mother and observation of clinical signs of illness. We calculated sensitivity, specificity, positive predictive value and negative predictive value of maternal report of any illness sign compared to CHWs' assessments and classification of VSD. Analysis was restricted to mothers whose neonates were assessed by CHWs at home during the routine visit schedule.

RESULTS

Maternal report of any signs had sensitivity of 24% and 20% and positive predictive value of 45% and 54% in Sylhet and Mirzapur, respectively.

CONCLUSIONS

Maternal recognition of neonatal illnesses at home was poor in two rural areas in Bangladesh. Interventions need to be designed to improve maternal recognition, and routine post-natal assessment by CHWs at home may be an essential component of community-based newborn care to improve care-seeking for newborn illness.

Two million intrapartum-related stillbirths and neonatal deaths: where, why, and what can be done?

BACKGROUND

Intrapartum-related neonatal deaths ("birth asphyxia") are a leading cause of child mortality globally, outnumbering deaths from malaria. Reduction is crucial to meeting the fourth Millennium Development Goal (MDG), and is intimately linked to intrapartum stillbirths as well as maternal health and MDG 5, yet there is a lack of consensus on what works, especially in weak health systems.

OBJECTIVE

To clarify terminology for intrapartum-related outcomes; to describe the intrapartum-related global burden; to present current coverage and trends for care at birth; and to outline aims and methods for this comprehensive 7-paper supplement reviewing strategies to reduce intrapartum-related deaths.

RESULTS

Birth is a critical time for the mother and fetus with an estimated 1.02 million intrapartum stillbirths, 904,000 intrapartum-related neonatal deaths, and around 42% of the 535,900 maternal deaths each year. Most of the burden (99%) occurs in low- and middle-income countries. Intrapartum-related neonatal mortality rates are 25-fold higher in the lowest income countries and intrapartum stillbirth rates are up to 50-fold higher. Maternal risk factors and delays in accessing care are critical contributors. The rural poor are at particular risk, and also have the lowest coverage of skilled care at birth. Almost 30,000 abstracts were searched and the evidence is evaluated and reported in the 6 subsequent papers.

CONCLUSION

Each year the deaths of 2 million babies are linked to complications during birth and the burden is inequitably carried by the poor. Evidence-based strategies are urgently needed to reduce the burden of intrapartum-related deaths particularly in low- and middle-income settings where 60 million women give birth at home.

Factors associated with physician agreement on verbal autopsy of over 27000 childhood deaths in India

Introduction

Each year, more than 10 million children younger than five years of age die. The large majority of these deaths occur in the developing world. The verbal autopsy (VA) is a tool designed to ascertain cause of death in such settings. While VA has been validated against hospital diagnosed cause of death, there has been no research conducted to better understand the factors that may influence individual physicians in determining cause of death from VA.

Methodology/Principal Findings

This study uses data from over 27,000 neonatal and childhood deaths from The Million Death Study in which 6.3 million people in India were monitored for vital status between 1998 and 2003. The main outcome variable was physician agreement or disagreement of category of death and the variables were assessed for association using the kappa statistic, univariate and multivariate logistic regression using a conceptual hierarchical model, and a sensitivity and specificity analysis using the final VA category of mortality as the gold standard. The main variables found to be significantly associated with increased physician agreement included older ages and male gender of the deceased. When taking into account confounding factors in the multivariate analysis, we did not find consistent significant differences in physician agreement based on the death being in a rural or urban area, at home or in a health care facility, registered or not, or the respondent's gender, religion, relationship to the deceased, or whether or not the respondent lived with the deceased.

Conclusions/Significance

Factors influencing physician agreement/disagreement to the greatest degree are the gender and age of the deceased; specifically, physicians tend to be less likely to agree on a common category of death in female children and in younger ages, particularly neonates. Additional training of physician reviewers and continued adaptation of the VA itself, with a focus on gender and age of the deceased, may be useful in increasing rates of physician agreement in these groups.

Verbal autopsy: methods in transition

Understanding of global health and changing morbidity and mortality is limited by inadequate measurement of population health. With fewer than one-third of deaths worldwide being assigned a cause, this long-standing dearth of information, almost exclusively in the world's poorest countries, hinders understanding of population health and limits opportunities for planning, monitoring, and evaluating interventions. In the absence of routine death registration, verbal autopsy (VA) methods are used to derive probable causes of death. Much effort has been put into refining the approach for specific purposes; however, there has been a lack of harmony regarding such efforts. Subsequently, a variety of methods and principles have been developed, often focusing on a single aspect of VA, and the resulting literature provides an inconsistent picture. By reviewing methodological and conceptual issues in VA, it is evident that VA cannot be reduced to a single one-size-fits-all tool. VA must be contextualized; given the lack of "gold standards," methodological developments should not be considered in terms of absolute validity but rather in terms of consistency, comparability, and adequacy for the intended purpose. There is an urgent need for clarified thinking about the overall objectives of population-level cause-of-death measurement and harmonized efforts in empirical methodological research.

3.2 million stillbirths: epidemiology and overview of the evidence review

More than 3.2 million stillbirths occur globally each year, yet stillbirths are largely invisible in global data tracking, policy dialogue and programme implementation. This mismatch of burden to action is due to a number of factors that keep stillbirths hidden, notably a lack of data and a lack of consensus on priority interventions, but also to social taboos that reduce the visibility of stillbirths and the associated family mourning. Whilst there are estimates of the numbers of stillbirths, to date there has been no systematic global analysis of the causes of stillbirths. The multiple classifications systems in use are often complex and are primarily focused on high-income countries. We review available data and propose a programmatic classification that is feasible and comparable across settings. We undertook a comprehensive global review of available information on stillbirths in order to 1) identify studies that evaluated risk factors and interventions to reduce stillbirths, 2) evaluate the level of evidence for interventions, 3) place the available evidence for interventions in a health systems context to guide programme implementation, and 4) elucidate key implementation, monitoring, and research gaps. This first paper in the series outlines issues in stillbirth data availability and quality, the global epidemiology of stillbirths, and describes the methodology and framework used for the review of interventions and strategies.