Severe maternal morbidity in the Asia Pacific: a systematic review and meta-analysis

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Study Justification:
The study aimed to assess the burden of severe maternal morbidity in the Asia Pacific region, particularly in low and lower-middle-income countries (LMICs). Monitoring rates of severe maternal morbidity is crucial for evaluating the quality of obstetric care in these countries. By conducting a systematic review and meta-analysis, the study aimed to provide a comprehensive understanding of the proportion and causes of severe maternal morbidity in the region.
Highlights:
– The study identified 197 studies spanning 27 countries in the Asia Pacific region.
– A total of 30,183,608 pregnancies and 100,011 near misses were included in the analysis.
– The overall proportion of near miss events was 4.4 per 1000 total births.
– The Western Pacific region, particularly around Papua New Guinea, had the highest proportion of near misses at 11.8 per 1000 births.
– Low-income countries displayed the greatest proportion of near misses (13.4), followed by lower-middle income countries (11.1). High-income countries had the lowest proportion (2.2).
– The most common near miss events were postpartum hemorrhage (5.9) and eclampsia (2.7).
Recommendations:
– Targeted interventions should be implemented to address the high burden of severe maternal morbidity in the Asia Pacific region, especially in LMICs.
– Efforts should focus on preventing the most common causes of near misses, such as postpartum hemorrhage and eclampsia.
– Improving access to quality obstetric care and emergency services is crucial for reducing severe maternal morbidity.
Key Role Players:
– Policy makers and government health departments in the Asia Pacific region.
– Obstetricians, gynecologists, and other healthcare professionals involved in maternal and reproductive health.
– Non-governmental organizations (NGOs) working in the field of maternal health.
– International organizations, such as the World Health Organization (WHO) and United Nations Population Fund (UNFPA), that can provide technical support and guidance.
Cost Items for Planning Recommendations:
– Strengthening healthcare infrastructure, including the establishment or improvement of obstetric care facilities.
– Training healthcare professionals in the management of obstetric emergencies.
– Developing and implementing protocols and guidelines for the prevention and management of severe maternal morbidity.
– Increasing access to essential medications and supplies for obstetric emergencies.
– Conducting awareness campaigns and community education programs on maternal health.
– Monitoring and evaluation systems to assess the impact of interventions and track progress in reducing severe maternal morbidity.
Please note that the cost items provided are general categories and not actual cost estimates. The specific cost implications would depend on the context and resources available in each country or region.

Background: Monitoring rates of severe maternal morbidity (such as eclampsia and uterine rupture) is useful to assess the quality of obstetric care, particularly in low and lower-middle-income countries (LMICs). Methods: We undertook a systematic review characterising the proportion and causes of severe maternal morbidity in the Asia Pacific region. We searched Medline, Embase, Cochrane CENTRAL library and the World Health Organization Western Pacific Index database for studies in the Asia-Pacific reporting maternal morbidity/near miss using a predefined search strategy. We included cohort, case-control and cross-sectional studies published in English before September 2020. A meta-analysis was performed calculating the overall proportion of near miss events by sub-region, country, near miss definition, economic status, setting and cause using a random-effects model. Findings: We identified 26,232 articles, screened 24,306 and retrieved 454 full text articles. Of these, 197 studies spanning 27 countries were included. 13 countries in the region were not represented. There were 30,183,608 pregnancies and 100,011 near misses included. The total proportion of near miss events was 4•4 (95% CI 4•3-4•5) per 1000 total births. The greatest proportion of near misses were found in the Western Pacific region (around Papua New Guinea) at 11•8 per 1000 births (95% CI 6•6-17•1; I2 96.05%). Low-income countries displayed the greatest proportion of near misses (13•4, 95% CI 6•0-20•7), followed by lower-middle income countries (11•1; 95% CI 10•4 – 11•9). High-income countries had the lowest proportion (2•2, 95% CI 2•1-2•3). Postpartum haemorrhage was the most common near miss event (5•9, 95% CI 4•5-7•2), followed by eclampsia (2•7, 95% CI 2•4 – 2•9). Interpretation: There is a high burden of severe maternal morbidity in the Asia-Pacific. LMICs are disproportionately affected. Most of the common causes are preventable. This provides an opportunity to implement targeted interventions which could have major clinical impact.

The systematic review protocol was registered with PROSPERO (CDR42019135672) and conducted per Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidance. [22] Our initial search was conducted in July 2018 for studies investigating maternal morbidity/near miss in the Asia-Pacific region (as defined by the United Nations). We included the electronic databases Medline, Embase, Cochrane CENTRAL Library and the WHO Western Pacific Regional Index database. We also reviewed the reference lists of all included studies. A secondary search was performed prior to data analysis in September 2020 to ascertain any further studies published since our initial search. In consultation with an information specialist, we developed a pre-defined and detailed search strategy using the following terms (Appendix A): Asia, South Asia, East Asia, Southeast Asia, Oceania, North Asia, maternal morbidity, maternal near miss, near miss morbidity, severe acute maternal morbidity, severe maternal morbidity, obstetric near miss, emergency hysterectomy, emergency obstetric hysterectomy, maternal complications, pregnancy complications, severe maternal haemorrhage, severe postpartum haemorrhage, severe sepsis, infection, uterine rupture, hypertensive disorders pregnancy, pre-eclampsia, eclampsia, intensive care unit, critical care unit. Studies which met the following criteria were included: reported near miss incidence, prevalence or data that could be used to calculate these; studies including patients in the Asia-Pacific region, published in the English language. All years of publication were eligible for review. We included case control, cohort and cross-sectional studies and randomised controlled trials which defined maternal near misses using either the WHO near miss criteria (Appendix B), [9] modified WHO criteria (i.e. a local adaptation of the WHO criteria), disease-specific (using disease-based endpoints included in the WHO near miss criteria, such as; eclampsia, massive post-partum haemorrhage [≥ 1.5L estimated blood loss], uterine rupture, sepsis or abruption) or management-based criteria (using any management-based endpoints included in the WHO near miss criteria, such as; ICU admission, massive blood transfusion [transfusion of ≥3 units packed red blood cells], renal dialysis or peripartum hysterectomy). Search results from different databases were merged and duplicates removed using reference manager software (Endnote). Two independent reviewers (RH & MD) screened titles and abstracts retrieved for potentially eligible studies via Covidence. RH and MD sought and retrieved full texts for all potentially eligible studies and recorded all reasons for exclusion. Any disagreements during screening were resolved through discussion, or consulting a third reviewer. MD, RH and AM independently extracted data using a standardized data extraction form including the following: study characteristics, design, level of hospitals participating, funding source, study country and sub-region, methods, participant characteristics, possible confounders, primary outcomes, secondary outcomes. Extracted data were compared to identify any disagreements, which were resolved through discussion. Quality of included studies were independently assessed by the primary reviewers (MD, RH and AM) using the Newcastle-Ottawa Scale (NOS) tool for non-randomised studies. No eligible randomised studies were identified. For quality appraisal, we assessed: study characteristics, study design, level of facility, sampling method, sources of data, ascertainment of exposure, reporting definitions, comparability of cohorts, selection of controls (where applicable), representativeness of the exposed cohort, completeness of follow-up and data, funding source, study country and sub-region, methods, participant characteristics, possible confounders, primary outcomes, secondary outcomes. The NOS broadly scores studies using a points-based system, with a maximum score of 9 stars, based on three categories: the selection of the study groups, the comparability of the groups, and the ascertainment of either the exposure or outcome of interest, for case-control or cohort studies respectively. We used these scores to rank study quality as “high”, “medium” or ‘low” quality. A NOS score of 7 or more is considered of “high” quality, or “low” risk of bias. A NOS score of 3-6 is considered “moderate” quality or “unclear” risk of bias; and a score of 3 studies per sub-group were present. We also reported proportions and 95% CIs of maternal mortality and perinatal death proportion, where included. Publication bias, reporting bias and biases related to a small sample size were assessed with the use of the regression asymmetry test of Egger. [24] We used STATA IC version 15 for our statistical analyses. Funding bodies had no role in study design, data collection, data analysis, data representation, or writing of the manuscript. The corresponding author and RH had full access to all the data in the study and had final responsibility for the decision to submit for publication. All authors reviewed the final manuscript before submission for publication.

Based on the information provided, it seems that the goal of the study was to assess the burden of severe maternal morbidity in the Asia-Pacific region, particularly in low and lower-middle-income countries (LMICs). The study identified several key findings, including the high proportion of near miss events in the region, with low-income countries being disproportionately affected. The most common near miss events were postpartum hemorrhage and eclampsia.

To improve access to maternal health in the Asia-Pacific region, the following innovations could be considered:

1. Telemedicine: Implementing telemedicine services can help overcome geographical barriers and provide access to healthcare professionals for remote areas. This can enable pregnant women to receive timely advice, consultations, and monitoring without the need for physical travel.

2. Mobile health (mHealth) applications: Developing mobile applications that provide information, reminders, and educational resources related to maternal health can empower women to take proactive steps in managing their health. These apps can also facilitate communication with healthcare providers and offer personalized guidance.

3. Community health workers: Training and deploying community health workers can improve access to maternal health services, especially in rural and underserved areas. These workers can provide basic prenatal care, health education, and referrals to appropriate healthcare facilities.

4. Emergency transportation systems: Establishing efficient emergency transportation systems, such as ambulances or emergency helplines, can ensure timely access to obstetric care for women experiencing complications during pregnancy or childbirth.

5. Task-shifting: Expanding the roles of midwives, nurses, and other healthcare professionals to perform certain procedures and provide essential maternal health services can help address the shortage of skilled healthcare providers in some areas.

6. Quality improvement initiatives: Implementing quality improvement programs in healthcare facilities can enhance the provision of obstetric care and reduce the occurrence of preventable complications. This can involve training healthcare providers, improving infrastructure, and implementing evidence-based practices.

7. Financial incentives: Introducing financial incentives, such as conditional cash transfers or subsidies, can encourage pregnant women to seek antenatal care and deliver in healthcare facilities. This can help reduce financial barriers and increase access to essential maternal health services.

It is important to note that the specific implementation of these innovations should be tailored to the local context and healthcare system of each country in the Asia-Pacific region.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health in the Asia-Pacific region is to implement targeted interventions that address the preventable causes of severe maternal morbidity. The systematic review and meta-analysis identified a high burden of severe maternal morbidity in the region, with low and lower-middle-income countries being disproportionately affected. The most common preventable causes of severe maternal morbidity were postpartum hemorrhage and eclampsia.

To develop this recommendation into an innovation, the following steps can be taken:

1. Develop targeted intervention programs: Based on the identified causes of severe maternal morbidity, develop targeted intervention programs that focus on preventing and managing postpartum hemorrhage and eclampsia. These programs should include strategies such as improved access to skilled birth attendants, emergency obstetric care, and essential obstetric supplies.

2. Strengthen healthcare systems: Enhance the capacity of healthcare systems in the Asia-Pacific region to provide quality maternal healthcare. This can be done by improving infrastructure, training healthcare providers, and ensuring the availability of essential medical equipment and supplies.

3. Increase awareness and education: Implement awareness campaigns to educate women, families, and communities about the importance of maternal health and the signs of complications during pregnancy and childbirth. This can help in early detection and timely management of maternal morbidity.

4. Improve data collection and monitoring: Enhance the collection and analysis of data on maternal morbidity and near misses to better understand the extent of the problem and track progress over time. This can inform evidence-based decision-making and help identify areas that require further intervention.

5. Collaborate with international organizations and stakeholders: Foster collaboration with international organizations, governments, non-governmental organizations, and other stakeholders to mobilize resources, share best practices, and coordinate efforts to improve maternal health in the region.

By implementing these recommendations and developing innovative approaches to address the preventable causes of severe maternal morbidity, access to maternal health can be significantly improved in the Asia-Pacific region.
AI Innovations Methodology
Based on the information provided, here are some potential recommendations for improving access to maternal health:

1. Strengthening healthcare infrastructure: Invest in improving healthcare facilities, especially in low and lower-middle-income countries (LMICs), by providing necessary equipment, supplies, and trained healthcare professionals.

2. Enhancing emergency obstetric care: Focus on improving emergency obstetric care services, including access to skilled birth attendants, emergency transportation, and well-equipped facilities to manage complications such as postpartum hemorrhage and eclampsia.

3. Increasing community awareness and education: Implement community-based programs to raise awareness about maternal health, promote antenatal care, and educate women and families about the importance of seeking timely medical assistance during pregnancy and childbirth.

4. Addressing socio-cultural barriers: Identify and address socio-cultural factors that hinder access to maternal health services, such as gender inequality, traditional beliefs, and stigma surrounding maternal health issues.

5. Strengthening health information systems: Develop robust health information systems to collect and analyze data on maternal health outcomes, identify gaps in service delivery, and monitor the impact of interventions.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the indicators: Identify specific indicators that reflect access to maternal health, such as the proportion of women receiving antenatal care, the availability of emergency obstetric care services, or the reduction in maternal mortality rates.

2. Collect baseline data: Gather existing data on the selected indicators to establish a baseline for comparison. This data can be obtained from national health surveys, health facility records, or other relevant sources.

3. Develop a simulation model: Create a simulation model that incorporates the recommended interventions and their potential impact on the selected indicators. This model should consider factors such as population demographics, healthcare infrastructure, and socio-cultural context.

4. Input intervention parameters: Define the parameters for each intervention, such as the scale of investment in healthcare infrastructure, the number of trained healthcare professionals, or the coverage of community awareness programs. These parameters should be based on evidence-based estimates or expert opinions.

5. Run simulations: Use the simulation model to run multiple scenarios, varying the intervention parameters to assess their impact on the selected indicators. This can help identify the most effective combination of interventions and estimate the potential improvements in access to maternal health.

6. Analyze results: Analyze the simulation results to determine the projected changes in access to maternal health services. Assess the feasibility, cost-effectiveness, and sustainability of the recommended interventions based on the simulation outcomes.

7. Refine and validate the model: Continuously refine and validate the simulation model by incorporating new data, updating intervention parameters, and comparing the simulated results with real-world outcomes. This iterative process helps improve the accuracy and reliability of the simulation.

8. Communicate findings: Present the findings of the simulation study to policymakers, healthcare professionals, and other stakeholders involved in maternal health. Use the results to advocate for the implementation of evidence-based interventions and inform decision-making processes.

It is important to note that the methodology for simulating the impact of recommendations may vary depending on the specific context and available data. The steps outlined above provide a general framework for conducting such simulations.

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