Major causes of death in preterm infants in selected hospitals in Ethiopia (SIP): a prospective, cross-sectional, observational study

listen audio

Study Justification:
– Neonatal deaths account for 47% of all deaths in children under 5 globally.
– More than a third of newborn deaths are due to preterm birth complications.
– Understanding the causes and factors contributing to neonatal deaths is crucial for reducing mortality.
– This study aimed to establish the major causes of preterm mortality in Ethiopia to identify interventions that can reduce deaths.
Study Highlights:
– The study was conducted in five hospitals in Ethiopia.
– A total of 4919 preterm infants were enrolled in the study, with 1109 (29%) dying by 28 days of postnatal age.
– The main primary causes of death were respiratory distress syndrome (45%), neonatal infections (30%), and asphyxia (14%).
– Hypothermia was the most common contributory cause of preterm mortality (69%).
– Mortality was highest in infants younger than 28 weeks of gestation (86% of deaths).
Study Recommendations:
– Scale-up interventions are needed to prevent or treat respiratory distress syndrome, neonatal infections, and asphyxia.
– Further research is required to develop effective and affordable interventions to prevent and treat the major causes of preterm death.
Key Role Players:
– Neonatologists and pediatricians
– Obstetricians and gynecologists
– Pathologists
– Nurses and midwives
– Hospital administrators
– Policy makers and government officials
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare professionals
– Equipment and supplies for neonatal intensive care units
– Diagnostic tools and laboratory equipment
– Medications and treatments for respiratory distress syndrome, neonatal infections, and asphyxia
– Research and development for new interventions
– Monitoring and evaluation systems
– Health education and awareness campaigns for parents and caregivers

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study design is prospective, cross-sectional, and observational, which provides valuable data. The sample size is large, with 4919 preterm infants enrolled in the study. The study also includes detailed information on maternal and obstetric history, clinical conditions, and laboratory investigations. The primary and contributory causes of preterm mortality were established by an independent panel of experts. However, there are a few suggestions to improve the evidence. First, the abstract could provide more information on the methodology used for data collection and analysis. Second, it would be helpful to include information on the representativeness of the study sample and the generalizability of the findings. Finally, the abstract could mention any limitations or potential biases in the study. Overall, the evidence in the abstract is strong, but these suggestions can further enhance its quality.

Background: Neonatal deaths now account for 47% of all deaths in children younger than 5 years globally. More than a third of newborn deaths are due to preterm birth complications, which is the leading cause of death. Understanding the causes and factors contributing to neonatal deaths is needed to identify interventions that will reduce mortality. We aimed to establish the major causes of preterm mortality in preterm infants in the first 28 days of life in Ethiopia. Methods: We did a prospective, cross-sectional, observational study in five hospitals in Ethiopia. Study participants were preterm infants born in the study hospitals at younger than 37 gestational weeks. Infants whose gestational age could not be reliably estimated and those born as a result of induced abortion were excluded from the study. Data were collected on maternal and obstetric history, clinical maternal and neonatal conditions, and laboratory investigations. For neonates who died of those enrolled, consent was requested from parents for post-mortem examinations (both complete diagnostic autopsy and minimally invasive tissue sampling). An independent panel of experts established the primary and contributory causes of preterm mortality with available data. Findings: Between July 1, 2016, to May 31, 2018, 4919 preterm infants were enrolled in the study and 3852 were admitted to neonatal intensive care units. By 28 days of post-natal age, 1109 (29%) of those admitted to the neonatal intensive care unit died. Complete diagnostic autopsy was done in 441 (40%) and minimally invasive tissue sampling in 126 (11%) of the neonatal intensive care unit deaths. The main primary causes of death in the 1109 infants were established as respiratory distress syndrome (502 [45%]); sepsis, pneumonia and meningitis (combined as neonatal infections; 331 [30%]), and asphyxia (151 [14%]). Hypothermia was the most common contributory cause of preterm mortality (770 [69%]). The highest mortality occurred in infants younger than 28 weeks of gestation (89 [86%] of 104), followed by infants aged 28–31 weeks (512 [54%] of 952), 32–34 weeks (349 [18%] of 1975), and 35–36 weeks (159 [8%] of 1888). Interpretation: Three conditions accounted for 89% of all deaths among preterm infants in Ethiopia. Scale-up interventions are needed to prevent or treat these conditions. Further research is required to develop effective and affordable interventions to prevent and treat the major causes of preterm death. Funding: Bill & Melinda Gates Foundation.

The Study of Illness in Preterms (SIP) was a prospective, multicentre, cross-sectional, observational clinical study done in five hospitals in Ethiopia. The study participants were preterm infants born at or referred within 7 days to the following five hospitals: in northwestern Ethiopia (Gondar University Hospital), in southwestern Ethiopia (Jimma University Hospital), and three hospitals in Addis Ababa (Ghandi Memorial Hospital, St Paul’s Hospital Millennium Medical College, and Tikur Anbessa Hospital). A map of Ethiopia showing the study regions is included in the appendix. All preterm, liveborn infants who were admitted to one of the study hospitals with an estimated gestational age of younger than 37 weeks were screened. The study hospital staff recruited preterm infants who were alive without any lower gestational age limit. Inclusion criteria were as follows: infant born at or transferred to one of the participating study hospitals; gestational age of younger than 37 weeks according to the algorithm using the three methods: ultrasound before 28 weeks of gestation, mother’s report of last menstrual period, and the New Ballard score completed before 7 days of postnatal age; liveborn defined as infant with crying, breathing, or movement after delivery or Apgar of 1 or greater; infant age younger than 7 days at the time of screening; and parental consent given for study participation. Participants were excluded if delivery was a result of an induced abortion or gestational age could not be reliably established using the study criteria. All eligible, liveborn babies were enrolled into the study. Infants who met the criteria were admitted regardless of whether the baby died before admission to the neonatal intensive care unit (NICU) or was discharged home without admission. The study was approved by the institutional review board of each hospital and at the College of Health Sciences of the Addis Ababa University. Written consent for participation in the study was obtained from the parent or legal guardian, with a separate written consent for complete diagnostic autopsy and minimally invasive tissue sampling (MITS), in cases of death. Consent was obtained in English, Amharic, or Oromiffa languages, as appropriate. Confidentiality of the information was maintained. All clinical procedures were done per hospital protocol. An informed consent form was developed for caretakers to read (or be read to them) so that the participants understood the implications of the research. For preterm infants who died, parents or caretakers were asked to complete a separate consent for post-mortem examinations of the whole body or samples of relevant tissue or fluids. The post-mortem examination could be complete diagnostic autopsy or MITS needle biopsy (or both) depending on the consent of parents or caretakers. Details of the protocol for the SIP study have been published elsewhere.14 Data were collected on maternal socioeconomic status, maternal and obstetric history, infant clinical conditions, imaging assessment, and microbiology of blood and cerebrospinal fluid specimens using predefined case report forms. Post-mortem examinations (both complete diagnostic autopsy and MITS) were done with additional consent from the parent or legal guardian. Following additional training, the MITS process was introduced in the second half of the study period. The clinical management of recruited patients followed the national guidelines developed by the Federal Ministry of Health of Ethiopia.15 To establish cause of death for each case, a panel consisting of international and national experts in neonatology, obstetrics, and pathology (including RP, SD, RLG, and HB) met face to face every 6 months and reviewed the deaths. For each death, the available clinical, laboratory, MITS, and autopsy data, including the sequence of clinical events during the infant’s hospital stay, were available to panellists to establish the primary and contributory fetal or neonatal and maternal causes of mortality using a protocol.14 The panel was divided into pairs comprising an Ethiopian and international clinician; each pair established cause of death for a set of cases. Criteria were prospectively defined for the primary cause of death and prioritisation when more than one possible cause was present.16 The panel assigned the primary cause of death using ICD-10.12 The primary or underlying cause of death is the “disease or injury that initiated the train of events leading directly to death, or circumstances of accident or violence which produced the fatal injury”, unlike the immediate cause of death, which was defined as “the disease or complication which directly preceded or directly led to death”. If the two panel members were unable to reach consensus, the case was presented to the full expert panel for adjudication. If insufficient or conflicting information was present, the panel could decide that the cause could not be established with the available data. In addition to the primary fetal or neonatal cause of death, the panel also identified one or more neonatal and maternal conditions that contributed to each death. Gestational age was established using a hierarchy of three methods: ultrasound before 28 weeks of gestation when available, mother’s report of last menstrual period when judged reliable, and the New Ballard Score completed at younger than 7 days of age.13 The so-called best gestational age, which was used for the study purposes to document whether the infant met the criteria of preterm (<37 weeks gestation at delivery) was calculated using the hierarchy: (1) ultrasound at younger than 28 weeks of gestation; (2) ultrasound at more than 28 weeks of gestation with agreement of a reliable last menstrual period or New Ballard Score; (3) reliable last menstrual period and New Ballard Score; (4) if discrepancy between last menstrual period and New Ballard Score was greater than 2 weeks, the last menstrual period date was used; and (5) if no ultrasound and last menstrual period estimate was not reliable, New Ballard Score was used.13 If the infant was more than 37 weeks or if the gestational age could not be established with these methods, the infant was excluded from the study. For follow-up of recruited infants, all hospitalised infants were assessed daily using a standardised tool and those at home were monitored once a week, either through a face-to-face meeting or by telephone. The research nurses and doctors underwent initial training on the case report forms, and their skills were reinforced every 3 months and with on-the-spot assessments. Each hospital team held once a week meetings to discuss and resolve challenges. In the study hospital NICU, infants were evaluated once to twice per day by a research nurse who documented the findings on case report forms. A supervisor monitored the collection of data and biospecimen for laboratory evaluation. Relevant laboratory, radiology, and pathology personnel were informed about the samples sent. Visits to each hospital were done regularly by the investigators to check data quality and provide support as necessary. At each hospital, data were entered twice by different data clerks into study computers using the data management system developed for this study to control for errors. Data were transferred on a regular basis from each hospital's data management computer to the data centre at Addis Ababa University (Addis Ababa, Ethiopia), creating a complete data repository. Data were merged into one master dataset for analysis. Frequency of the findings from complete diagnostic autopsy and MITS was computed with 95% CIs using beta distribution to account for the finite population size.17 The sample size was calculated on the basis of the sample size for comparing proportions of causes of death. Assuming 20% of preterm deaths are due to one of the likely causes of preterm mortality, with a 4% precision and 95% level of confidence, 384 preterm deaths with confirmed cause of mortality were needed. Assuming attrition of 10–20%, and that 50% of participants would refuse to consent to post-mortem examinations, we estimated that between 770 and 960 preterm deaths (mean of 865) were required. With a case fatality rate of preterm admissions of 20%, we estimated that 4325 preterm admissions were required during the study period. Descriptive statistics were done using Stata version 14.2 (2017 package). The funder had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

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

1. Telemedicine: Implementing telemedicine services can allow healthcare providers to remotely monitor and provide consultations to pregnant women, especially those in remote or underserved areas. This can help improve access to prenatal care and reduce the need for travel.

2. Mobile health (mHealth) applications: Developing mobile applications that provide pregnant women with information, reminders, and access to healthcare resources can empower them to take an active role in their own maternal health. These apps can also facilitate communication between healthcare providers and patients.

3. Community health workers: Training and deploying community health workers who can provide basic prenatal care, education, and support to pregnant women in their communities can help improve access to maternal health services, especially in areas with limited healthcare infrastructure.

4. Maternal health clinics: Establishing dedicated maternal health clinics that provide comprehensive prenatal care, including screenings, vaccinations, and counseling, can ensure that pregnant women receive the specialized care they need in a timely manner.

5. Mobile clinics: Setting up mobile clinics that travel to remote or underserved areas can bring maternal health services directly to pregnant women who may not have easy access to healthcare facilities. These clinics can provide prenatal check-ups, screenings, and basic treatments.

6. Health education programs: Implementing targeted health education programs that focus on maternal health can help raise awareness about the importance of prenatal care, nutrition, and healthy lifestyle choices. These programs can be conducted in schools, community centers, and through media channels.

7. Maternal health financing schemes: Developing innovative financing schemes, such as health insurance or microfinance programs, specifically for maternal health can help reduce financial barriers and improve access to quality care for pregnant women.

It’s important to note that these recommendations are general and may need to be tailored to the specific context and needs of Ethiopia.
AI Innovations Description
The study titled “Major causes of death in preterm infants in selected hospitals in Ethiopia (SIP): a prospective, cross-sectional, observational study” aimed to identify the major causes of preterm mortality in Ethiopia in order to develop interventions that can reduce mortality rates. The study was conducted in five hospitals in Ethiopia and enrolled 4919 preterm infants.

The findings of the study revealed that the main primary causes of death in preterm infants were respiratory distress syndrome (45%), neonatal infections (30%), and asphyxia (14%). Hypothermia was identified as the most common contributory cause of preterm mortality. The study also found that the highest mortality occurred in infants younger than 28 weeks of gestation.

Based on these findings, the study recommends the need for scale-up interventions to prevent or treat the major causes of preterm death. It emphasizes the importance of developing effective and affordable interventions to prevent and treat respiratory distress syndrome, neonatal infections, and asphyxia. Further research is also suggested to explore and develop these interventions.

It is important to note that the study was funded by the Bill & Melinda Gates Foundation and was approved by the institutional review board of each hospital and the College of Health Sciences of the Addis Ababa University. Written consent was obtained from parents or legal guardians for study participation and post-mortem examinations. The study collected data on maternal and obstetric history, clinical conditions, and laboratory investigations.

Overall, the study provides valuable insights into the major causes of preterm mortality in Ethiopia and highlights the need for innovative interventions to improve access to maternal health and reduce neonatal deaths.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations for improving access to maternal health:

1. Strengthening Antenatal Care: Enhance antenatal care services to ensure early detection and management of high-risk pregnancies, including preterm births. This can involve increasing the number of antenatal visits, providing comprehensive screenings and tests, and offering education and counseling to pregnant women.

2. Improving Neonatal Intensive Care Units (NICUs): Enhance the capacity and quality of NICUs in hospitals to provide specialized care for preterm infants. This can include training healthcare providers in neonatal care, ensuring the availability of necessary equipment and medications, and implementing protocols for the management of preterm complications.

3. Enhancing Community-Based Interventions: Implement community-based interventions to improve maternal and neonatal health outcomes. This can involve training community health workers to provide basic antenatal and postnatal care, promoting breastfeeding and nutrition education, and raising awareness about the importance of seeking timely healthcare during pregnancy and childbirth.

4. Strengthening Referral Systems: Improve the referral systems between primary healthcare facilities and higher-level hospitals to ensure timely access to appropriate care for high-risk pregnancies and preterm births. This can involve establishing clear protocols for referrals, providing transportation support for pregnant women in need, and enhancing communication channels between healthcare providers.

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 key indicators that reflect access to maternal health, such as the number of antenatal care visits, the percentage of preterm births receiving specialized care, and the maternal mortality rate.

2. Collect baseline data: Gather data on the current status of these indicators in the target population or region. This can involve conducting surveys, reviewing existing health records, and interviewing healthcare providers and community members.

3. Develop a simulation model: Create a mathematical or statistical model that simulates the impact of the recommended interventions on the selected indicators. This model should take into account factors such as population size, healthcare infrastructure, and resource availability.

4. Input intervention scenarios: Define different scenarios that represent the implementation of the recommended interventions. This can include variations in the coverage and quality of services, as well as different levels of community engagement and resource allocation.

5. Run simulations: Use the simulation model to project the potential impact of each intervention scenario on the selected indicators. This can involve running multiple iterations of the model to account for uncertainties and variations in the input parameters.

6. Analyze results: Analyze the simulation results to assess the potential benefits and challenges of each intervention scenario. This can include comparing the projected changes in the indicators, identifying potential bottlenecks or limitations, and estimating the cost-effectiveness of the interventions.

7. Refine and validate the model: Continuously refine and validate the simulation model based on feedback from experts, stakeholders, and additional data sources. This can involve adjusting the model parameters, incorporating new evidence, and conducting sensitivity analyses to assess the robustness of the results.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of different interventions on improving access to maternal health and make informed decisions on resource allocation and implementation strategies.

Partagez ceci :
Facebook
Twitter
LinkedIn
WhatsApp
Email