Causes of preterm and low birth weight neonatal mortality in a rural community in Kenya: evidence from verbal and social autopsy

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Study Justification:
The study aimed to investigate the causes of neonatal mortality among low birth weight (LBW) and preterm babies in a rural community in Kenya. This research was important because despite the decline in under-five mortality in Kenya, the neonatal mortality rate remained stagnant. The study aimed to fill the gap in documentation of mortality and its causes among LBW and preterm neonates in a country with weak civil registration and vital statistics systems.
Highlights:
– The study included 3175 preterm and LBW babies born between January 2017 and December 2018 in Migori County, Kenya.
– Out of the total births, 164 (5.1%) neonates died within the first 28 days of life.
– Verbal and social autopsy interviews were conducted with caregivers of 88 (53.7%) of the neonatal deaths.
– The leading causes of death among LBW and preterm neonates were birth asphyxia (45.5%), neonatal sepsis (26.1%), respiratory distress syndrome (12.5%), and hypothermia (11.0%).
– Majority of the deaths occurred within the first 24 hours of life (43.2%).
– In the early neonatal period, most deaths were due to asphyxia (54.3%), while in the late neonatal period, most deaths were due to sepsis (66.7%).
– Delay in seeking medical care was reported for a small percentage (5.8%) of the neonatal deaths.
Recommendations:
– Enhance implementation of existing facility-based intrapartum and immediate postpartum care interventions.
– Target interventions to address asphyxia, sepsis, respiratory distress syndrome, and hypothermia, which were identified as the leading causes of death among LBW and preterm neonates.
Key Role Players:
– Healthcare providers and facilities involved in intrapartum and immediate postpartum care.
– Community Health Volunteers to assist in tracing study participants.
– Clinicians trained on the WHO International Classification of Diseases (ICD-10) to assign probable causes of death.
– Research assistants trained on verbal and social autopsy data collection.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers and research assistants.
– Equipment and supplies for intrapartum and immediate postpartum care interventions.
– Communication and outreach materials for community education.
– Data management and analysis software.
– Monitoring and evaluation activities to assess the impact of interventions.
Please note that the cost items provided are general examples and not actual costs. The specific budget items would need to be determined based on the context and resources available for implementation.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are actionable steps to improve it.

Background: Under-five mortality in Kenya has declined over the past two decades. However, the reduction in the neonatal mortality rate has remained stagnant. In a country with weak civil registration and vital statistics systems, there is an evident gap in documentation of mortality and its causes among low birth weight (LBW) and preterm neonates. We aimed to establish causes of neonatal LBW and preterm mortality in Migori County, among participants of the PTBI-K (Preterm Birth Initiative-Kenya) study. Methods: Verbal and social autopsy (VASA) interviews were conducted with caregivers of deceased LBW and preterm neonates delivered within selected 17 health facilities in Migori County, Kenya. The probable cause of death was assigned using the WHO International Classification of Diseases (ICD-10). Results: Between January 2017 to December 2018, 3175 babies were born preterm or LBW, and 164 (5.1%) died in the first 28 days of life. VASA was conducted among 88 (53.7%) of the neonatal deaths. Almost half (38, 43.2%) of the deaths occurred within the first 24 h of life. Birth asphyxia (45.5%), neonatal sepsis (26.1%), respiratory distress syndrome (12.5%) and hypothermia (11.0%) were the leading causes of death. In the early neonatal period, majority (54.3%) of the neonates succumbed to asphyxia while in the late neonatal period majority (66.7%) succumbed to sepsis. Delay in seeking medical care was reported for 4 (5.8%) of the neonatal deaths. Conclusion: Deaths among LBW and preterm neonates occur early in life due to preventable causes. This calls for enhanced implementation of existing facility-based intrapartum and immediate postpartum care interventions, targeting asphyxia, sepsis, respiratory distress syndrome and hypothermia.

We conducted a descriptive cross-sectional study for all preterm and low birth weight (LBW) neonatal deaths that occurred January 1, 2017, to December 31, 2018 in 17 selected health facilities in Migori County, Western Kenya. The study population included a cohort of preterm and LBW neonates enrolled in an implementation science study conducted by the Preterm Birth Initiative (PTBi), a collaboration among Kenya Medical Research Institute (KEMRI), Makerere University and University of California, San Francisco. The initiative employed a package of selected interventions to improve birth outcomes and reduce morbidity and mortality of preterm and low birth weight babies in selected health facilities in Migori County, Kenya and Busoga region in Uganda. The study areas and the intervention package are described in detail in the published study protocol [21]. In Kenya, the 17 selected health facilities in Migori County, included one county referral hospital, 14 government health facilities and two missionary hospitals. The selected facilities were high volume in terms of annual deliveries compared to other facilities within the county. All babies born with birth weight < 2500 g (LBW); or birth weight ≥ 2500 and < 3000 g with documented or calculated gestational age less than 37 weeks (preterm) were eligible for enrollment into the study. Upon consenting, mothers who delivered live low birth weight and preterm babies were followed up to determine status of the baby at day 28. The baby’s status was recorded in the PTBi database. The caregivers of babies who had died within 28 days of life were invited to participate in the VASA study. Babies who died before discharge were identified from the health facility maternity registers and the ones who died post-discharge were identified from the PTBi database. We abstracted identifying contact information of the deceased neonates onto the VASA study locator form. The provided phone contact and/or physical location information was used to reach out to the mothers/caregivers of the deceased neonates for an appointment. In case the contact information was missing, or the provided contact was unreachable after three phone attempts, Community Health Volunteers helped to trace the study participant within the indicated village of residence. A caregiver was declared lost to follow up after 3 attempts using all possible methods to trace her. The identified households were visited by research assistants trained on VASA to administer the VASA questionnaire for data collection. This was done at least two weeks after the death of the baby, to allow for the mourning period. The appropriate respondent was the person involved in primary care for the neonate before he/she died. In most cases this would be the mother, however, secondary respondents were allowed, if necessary, to capture information on all phases of the illness, including the mother’s pregnancy and delivery, during which she may herself have been too ill and unaware of the neonates’ condition. For respondents who had multiple neonatal deaths, the questionnaire was administered for each baby except for the socio-demographic section. The VASA questionnaire used for data collection was adapted from the WHO standardized verbal autopsy questionnaire for deaths that occur before 28 days [22] and social autopsy questionnaire from the Child Health Epidemiology Reference Group (CHERG) [23]. The questionnaire is divided into three main sections; the first section covers general information for deceased neonates, demographics of the deceased, and household and socio-demographic characteristics of the respondent. The second section covers the circumstances surrounding the child’s death, including signs and symptoms of any illness, the caregiver’s perception of the illness, actions taken and care sought. Any barriers to seeking care are also noted. In addition to neonatal deaths, this section also asks questions about the maternal history, including the mother’s antenatal care and care-seeking for obstetric complications, and about newborn care before and during the illness. The third section is an open narrative that allows the caregiver to narrate about the baby’s illness and events preceding death in his or her own words. Any health records provided by the caregiver describing the treatment the child received were also noted. To assign a probable cause of death, two clinicians trained on the WHO International Classification of Diseases (ICD 10) independently reviewed the signs and symptoms recorded on the questionnaires. If the same diagnosis was reached by the two physicians, this was accepted as the probable cause of death. If there was a discrepancy between diagnoses, an independent third physician was involved to determine a consensus on the probable cause of death. Completed questionnaires were checked for completeness, validity and reliability. Data were entered into a Microsoft Access database then transferred into Stata 12 statistical software for cleaning and analysis. Descriptive statistics presented measures of central tendencies for quantitative data, including mean (standard deviation), median (range) and frequency distributions (frequencies and percentages). Data were presented in tables and graphs. Reporting of the study conforms to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement [24].

Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Strengthening Civil Registration and Vital Statistics Systems: Implementing a robust system for documenting mortality and its causes among low birth weight (LBW) and preterm neonates can provide valuable data for understanding and addressing the factors contributing to neonatal mortality.

2. Enhancing Facility-Based Intrapartum and Postpartum Care Interventions: Focusing on improving the quality and availability of care during the critical periods of labor, delivery, and immediate postpartum can help prevent deaths due to birth asphyxia, neonatal sepsis, respiratory distress syndrome, and hypothermia.

3. Implementing Early Recognition and Management of Birth Asphyxia: Developing protocols and training healthcare providers to promptly identify and manage birth asphyxia can significantly reduce neonatal mortality, especially in the early neonatal period.

4. Strengthening Neonatal Sepsis Prevention and Treatment: Implementing evidence-based interventions, such as improved infection control practices, early recognition of sepsis symptoms, and timely administration of antibiotics, can help reduce the burden of neonatal sepsis and improve survival rates.

5. Improving Access to Neonatal Resuscitation and Emergency Care: Ensuring that healthcare facilities are equipped with the necessary equipment, supplies, and trained personnel for neonatal resuscitation and emergency care can save the lives of newborns in critical condition.

6. Promoting Timely and Appropriate Care-Seeking Behavior: Implementing community-based interventions to raise awareness about the signs of neonatal illness and the importance of seeking timely and appropriate healthcare can help reduce delays in seeking medical care and improve neonatal outcomes.

7. Strengthening Antenatal Care and Obstetric Complications Management: Enhancing the quality and coverage of antenatal care services, including early detection and management of obstetric complications, can contribute to better maternal and neonatal health outcomes.

These innovations, when implemented effectively, have the potential to improve access to maternal health and reduce neonatal mortality rates in rural communities like Migori County, Kenya.
AI Innovations Description
The study conducted in Migori County, Kenya aimed to establish the causes of neonatal low birth weight (LBW) and preterm mortality. The study found that the leading causes of death among LBW and preterm neonates were birth asphyxia, neonatal sepsis, respiratory distress syndrome, and hypothermia. The study also highlighted the importance of early intervention and immediate postpartum care to prevent these deaths.

Based on the findings of the study, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Strengthening Facility-Based Intrapartum and Postpartum Care: Enhance the implementation of existing facility-based interventions to improve birth outcomes and reduce morbidity and mortality of LBW and preterm babies. This can include training healthcare providers on proper management of birth asphyxia, neonatal sepsis, respiratory distress syndrome, and hypothermia. Additionally, ensure that healthcare facilities have the necessary equipment and resources to provide quality care during and after childbirth.

By implementing this recommendation, healthcare facilities can provide better care for LBW and preterm neonates, reducing the risk of preventable deaths. This innovation can contribute to improving access to maternal health and reducing neonatal mortality rates in rural communities like Migori County, Kenya.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Strengthening facility-based intrapartum and immediate postpartum care interventions: Enhance the implementation of existing interventions targeting asphyxia, sepsis, respiratory distress syndrome, and hypothermia. This can include training healthcare providers on best practices, ensuring the availability of necessary equipment and supplies, and improving the quality of care provided during labor and delivery.

2. Improving community awareness and education: Conduct community-based education programs to increase awareness about the importance of maternal health and the early recognition of danger signs during pregnancy and childbirth. This can involve engaging community health workers, conducting health campaigns, and utilizing local media channels to disseminate information.

3. Strengthening referral systems: Enhance the coordination and effectiveness of referral systems between community-level health facilities and higher-level facilities. This can involve improving communication channels, providing transportation options, and ensuring that higher-level facilities are adequately equipped to handle obstetric emergencies.

4. Addressing delays in seeking medical care: Identify and address the barriers that contribute to delays in seeking medical care for maternal health issues. This can involve addressing cultural beliefs and practices, improving transportation options, and providing financial support for healthcare expenses.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the indicators: Identify specific indicators that reflect access to maternal health, such as the number of antenatal care visits, the percentage of births attended by skilled healthcare providers, or the time taken to reach a healthcare facility in case of an obstetric emergency.

2. Collect baseline data: Gather data on the selected indicators before implementing the recommendations. This can involve conducting surveys, reviewing existing health records, or utilizing data from national health information systems.

3. Implement the recommendations: Put the identified recommendations into action, ensuring that they are implemented consistently and effectively across the target population.

4. Monitor and evaluate: Continuously monitor the selected indicators to assess the impact of the recommendations on improving access to maternal health. This can involve conducting follow-up surveys, reviewing updated health records, or utilizing data from national health information systems.

5. Analyze the data: Analyze the collected data to determine the changes in the selected indicators after implementing the recommendations. This can involve comparing the baseline data with the post-intervention data and conducting statistical analyses to assess the significance of the changes.

6. Interpret the results: Interpret the findings to understand the extent to which the recommendations have improved access to maternal health. Identify any gaps or areas for further improvement.

7. Adjust and refine: Based on the results and interpretation, make any necessary adjustments or refinements to the recommendations to optimize their impact on improving access to maternal health.

By following this methodology, it would be possible to simulate the impact of the recommendations on improving access to maternal health and make evidence-based decisions for further interventions.

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