Health care in pregnancy during the COVID-19 pandemic and pregnancy outcomes in six low- and-middle-income countries: Evidence from a prospective, observational registry of the Global Network for Women’s and Children’s Health

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Study Justification:
This study aimed to assess the impact of the COVID-19 pandemic on medical care for pregnant women in six low- and middle-income countries and its relationship to pregnancy outcomes. The study aimed to provide evidence on the effects of the pandemic on maternal and neonatal health in these regions.
Highlights:
1. The study found a small but statistically significant increase in home births during the COVID-19 period compared to the pre-COVID-19 period.
2. There was a small but significant decrease in the mean number of antenatal care visits during the COVID-19 period.
3. Overall, there was a small but significant decrease in low birthweight infants during the COVID-19 period.
4. No significant differences were observed in stillbirth, neonatal mortality, maternal mortality, or preterm birth rates during the COVID-19 period compared to the previous year.
Recommendations:
1. Further research is needed to understand the relationship between access to and use of pregnancy-related medical services and birth outcomes over an extended period.
2. Policies and interventions should be implemented to ensure access to antenatal care services during pandemics to prevent a decrease in the number of visits.
3. Strategies should be developed to address the increase in home births during pandemics and ensure safe delivery practices.
4. Efforts should be made to maintain the quality of care for pregnant women during pandemics to prevent adverse pregnancy outcomes.
Key Role Players:
1. Researchers and research institutions involved in maternal and newborn health.
2. Local healthcare providers and administrators.
3. Government health departments and policymakers.
4. Non-governmental organizations (NGOs) working in maternal and child health.
5. Community health workers and volunteers.
Cost Items for Planning Recommendations:
1. Training and capacity-building programs for healthcare providers.
2. Development and implementation of guidelines and protocols for antenatal care during pandemics.
3. Provision of personal protective equipment (PPE) for healthcare providers.
4. Communication and awareness campaigns to educate pregnant women about the importance of antenatal care and safe delivery practices during pandemics.
5. Strengthening healthcare infrastructure and facilities to ensure safe and quality care for pregnant women.
6. Monitoring and evaluation systems to assess the impact of interventions and track pregnancy outcomes.
Please note that the provided cost items are general suggestions and may vary depending on the specific context and requirements of each country or region.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it is based on a prospective, population-based study that analyzed data from multiple countries. The study compared pregnancy and delivery care practices before and during the COVID-19 pandemic, and assessed various pregnancy outcomes. The study used a large sample size and statistical analysis to draw conclusions. However, to improve the evidence, the abstract could provide more specific details about the methodology, such as the number of participants and the specific measures used to assess pregnancy outcomes. Additionally, it would be helpful to include information about potential limitations of the study, such as any biases or confounding factors that may have influenced the results.

Objective: To assess, on a population basis, the medical care for pregnant women in specific geographic regions of six countries before and during the first year of the coronavirus disease 2019 (COVID-19) pandemic in relationship to pregnancy outcomes. Design: Prospective, population-based study. Setting: Communities in Kenya, Zambia, the Democratic Republic of the Congo, Pakistan, India and Guatemala. Population: Pregnant women enrolled in the Global Network for Women’s and Children’s Health’s Maternal and Newborn Health Registry. Methods: Pregnancy/delivery care services and pregnancy outcomes in the pre-COVID-19 time-period (March 2019–February 2020) were compared with the COVID-19 time-period (March 2020–February 2021). Main outcome measures: Stillbirth, neonatal mortality, preterm birth, low birthweight and maternal mortality. Results: Across all sites, a small but statistically significant increase in home births occurred between the pre-COVID-19 and COVID-19 periods (18.9% versus 20.3%, adjusted relative risk [aRR] 1.12, 95% CI 1.05–1.19). A small but significant decrease in the mean number of antenatal care visits (from 4.1 to 4.0, p = <0.0001) was seen during the COVID-19 period. Of outcomes evaluated, overall, a small but significant decrease in low-birthweight infants in the COVID-19 period occurred (15.7% versus 14.6%, aRR 0.94, 95% CI 0.89–0.99), but we did not observe any significant differences in other outcomes. There was no change observed in maternal mortality or antenatal haemorrhage overall or at any of the sites. Conclusions: Small but significant increases in home births and decreases in the antenatal care services were observed during the initial COVID-19 period; however, there was not an increase in the stillbirth, neonatal mortality, maternal mortality, low birthweight, or preterm birth rates during the COVID-19 period compared with the previous year. Further research should help to elucidate the relationship between access to and use of pregnancy-related medical services and birth outcomes over an extended period.

The Eunice Kennedy Shriver Global Network for Women's and Children Health's (Global Network) Maternal and Newborn Health Registry (MNHR) is a prospective, population‐based observational study that was initiated in 2009. 22 , 23 All pregnant women in defined geographic communities that include approximately 300–500 births annually, are identified and enrolled. For this study, we analysed population‐based data from the eight to ten communities at the sites in western Kenya, Zambia (Kafue and Chongwe), the Democratic Republic of the Congo (North and South Ubangi Provinces), Pakistan (Thatta in Sindh Provence), India (Belagavi and Nagpur) and Guatemala (Chimaltenango). Registry administrators, trained study healthcare staff, identified pregnant women in their respective communities and following consent, enrolled them in the MNHR. 22 , 23 Once a pregnant woman was identified, the registry administrators obtained basic health information at enrolment, and recorded the date of last menstrual period or early ultrasound report to assess gestational age and other basic demographic information. A follow‐up visit was carried out following delivery to collect information on pregnancy outcomes as well as the health care received during delivery. The maternal and newborn health statuses were collected at 42 days post‐delivery. The study outcomes were based on medical record reviews and birth attendant and family interviews. Birthweights for babies born in facilities were available from the birth certificates or hospital records and for home deliveries, babies were weighed within 48 hours of birth by the registry administrators using standardised study scales. During the onset of the COVID‐19 pandemic, some of the participating sites went through lockdown periods, when the field activities were either partially or fully halted. However, the registry administrators continued to collect information on pregnancy and neonatal outcomes either through telephone contacts or by making home visits. Stillbirths were defined as fetuses born at 20 weeks of gestation or more with no signs of life including movement, cry or respirations. Neonatal deaths were defined as the death of any live‐born infant, regardless of gestational age or birthweight, who died before 28 days of life. Maternal mortality was defined as death of the mother at any time in the pregnancy and up to 42 days postpartum. The outcome of miscarriages and medical terminations of pregnancy included any pregnancy registered in the MNHR that ended before 20 weeks of gestation. Although we attempted to capture every pregnancy ending at 20 weeks or more, some pregnancies, especially those with an early termination or miscarriage, may not be captured in the MNHR. Also, especially in Pakistan and Guatemala, the babies delivered at home may not have been weighed because of the absence of personal contact because of the COVID‐19 pandemic. However, most of the other data were collected by telephone in those sites. The analysis population included women screened for the MNHR who were eligible, consented and delivered at 20 weeks of gestation between March 2019 and February 2021. The pre‐COVID‐19 period was defined as extending from March 2019 through February 2020 and the COVID‐19 period from March 2020 through February 2021, based on the World Health Organization's declaration of a global pandemic. 24 We compared the pregnancy and delivery care practices of women in the pre‐COVID‐19 time‐period and during the COVID‐19 time‐period. For analyses, we combined data from the Democratic Republic of the Congo, Zambian and Kenyan sites as the African sites, and Belagavi and Nagpur, India, as the Indian sites. Pakistan and Guatemala were considered separately. The percentage of women with four or more antenatal care (ANC) visits as well as the mean number of ANC visits in women at each site, the percentage of deliveries by a physician and the percentage of women delivering at home were analysed by site and year overall and for each of the two time‐periods. Maternal mortality ratios, the rates of stillbirths, neonatal deaths until 28 days, early neonatal deaths before 7 days, perinatal mortality defined as stillbirths plus early neonatal mortality, low birthweight (<2500 g) and preterm birth (<37 weeks of gestation at delivery) were compared by site and overall, for both time‐periods. The rates of stillbirth and perinatal mortality are reported per 1000 live births and stillbirths, whereas neonatal mortality was calculated per 1000 live births. For display purposes, the absolute changes in healthcare measures were calculated as the values during COVID‐19 minus the pre‐pandemic values. Finally, we calculated the relative risks (RR) and corresponding 95% CI from Poisson models for categorical variables and normal distribution model for continuous ANC visits with generalised estimating equations to account for the correlation of outcomes within community, accounting for site and the interaction of pre‐COVID‐19 or during COVID‐19 and site. We ran the same models adjusting for the potential confounders, maternal age, education and parity. All statistical analyses were conducted in SAS v. 9.4 (SAS Institute, Cary, NC, USA). This study was reviewed and approved by the ethics committees of participating research sites (INCAP, Guatemala; University of Zambia, Zambia; Moi University, Kenya; Aga Khan University, Pakistan; Kinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo), KLE University's Jawaharlal Nehru Medical College, Belagavi, India; Lata Medical Research Foundation, Nagpur, India), the institutional review boards at each US partner university and the data coordinating centre (RTI International). All women provided informed consent for participation in the study, including data collection and the follow‐up visits.

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

1. Telemedicine and Remote Monitoring: Implementing telemedicine services and remote monitoring technologies can enable pregnant women to receive prenatal care and consultations from the comfort of their homes. This can help overcome barriers to accessing healthcare, especially during times of lockdowns or restricted movement.

2. Mobile Health (mHealth) Applications: Developing mobile health applications that provide educational resources, appointment reminders, and personalized health information can empower pregnant women to actively engage in their own prenatal care. These apps can also facilitate communication between healthcare providers and patients.

3. Community Health Workers: Expanding the role of community health workers can improve access to maternal health services, especially in remote or underserved areas. These workers can provide basic prenatal care, health education, and referrals to healthcare facilities when necessary.

4. Transportation Solutions: Addressing transportation challenges can significantly improve access to maternal health services. Implementing innovative transportation solutions such as mobile clinics, community-based transportation networks, or partnerships with ride-sharing services can help pregnant women reach healthcare facilities in a timely manner.

5. Strengthening Health Information Systems: Enhancing health information systems can improve data collection, analysis, and monitoring of maternal health outcomes. This can help identify gaps in care, track progress, and inform evidence-based decision-making to improve maternal health services.

6. Maternal Health Financing Models: Exploring innovative financing models, such as microinsurance or community-based health financing, can help reduce financial barriers to accessing maternal health services. These models can provide affordable and sustainable options for pregnant women, especially those from low-income backgrounds.

7. Public-Private Partnerships: Collaborating with private sector organizations, including technology companies and pharmaceutical companies, can leverage their expertise and resources to improve access to maternal health services. This can involve initiatives such as mobile clinics, telemedicine platforms, or supply chain management systems.

It’s important to note that the specific context and needs of each country or community should be considered when implementing these innovations. Additionally, continuous evaluation and research are essential to assess the effectiveness and impact of these innovations on improving access to maternal health.
AI Innovations Description
Based on the description provided, the study aimed to assess the impact of the COVID-19 pandemic on medical care for pregnant women and pregnancy outcomes in six low- and middle-income countries. The study analyzed data from the Global Network for Women’s and Children’s Health’s Maternal and Newborn Health Registry, which includes pregnant women from defined geographic communities.

The study found that during the COVID-19 period, there was a small but statistically significant increase in home births and a small but significant decrease in the mean number of antenatal care visits. However, there were no significant differences in stillbirth, neonatal mortality, maternal mortality, low birthweight, or preterm birth rates compared to the previous year.

Based on these findings, a recommendation to improve access to maternal health could be to strengthen and promote the use of telehealth services for antenatal care. Telehealth allows pregnant women to receive medical advice, counseling, and monitoring remotely, reducing the need for in-person visits and the risk of exposure to infectious diseases like COVID-19. This can help ensure that pregnant women have access to necessary care and support, even during times of crisis or limited mobility.

Additionally, efforts should be made to address barriers to accessing healthcare facilities, such as transportation and financial constraints. This could involve providing transportation vouchers or subsidies for pregnant women to attend antenatal care visits or delivering healthcare services closer to communities through mobile clinics or community health workers.

Furthermore, community education and awareness campaigns should be implemented to emphasize the importance of seeking appropriate medical care during pregnancy, even during challenging times. This can help dispel misconceptions and fears that may discourage pregnant women from seeking healthcare services.

Overall, the recommendation is to leverage telehealth services, address barriers to accessing healthcare facilities, and promote community education to improve access to maternal health during crises like the COVID-19 pandemic.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Telemedicine and Mobile Health: Implementing telemedicine and mobile health technologies can provide remote access to prenatal care, allowing pregnant women to consult with healthcare providers, receive guidance, and monitor their health from the comfort of their homes.

2. Community Health Workers: Training and deploying community health workers can help bridge the gap between healthcare facilities and pregnant women in remote or underserved areas. These workers can provide education, support, and basic healthcare services to pregnant women, improving access to maternal health.

3. Transportation and Infrastructure: Improving transportation infrastructure in rural areas can facilitate access to healthcare facilities for pregnant women. This can include building roads, providing transportation subsidies, or implementing mobile clinics to reach remote communities.

4. Health Education and Awareness: Conducting health education campaigns to raise awareness about the importance of prenatal care and maternal health can encourage pregnant women to seek appropriate healthcare services. This can be done through community outreach programs, media campaigns, or partnerships with local organizations.

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

1. Define the Metrics: Identify specific metrics that measure access to maternal health, such as the percentage of pregnant women receiving prenatal care, the distance to the nearest healthcare facility, or the number of home births.

2. Collect Baseline Data: Gather data on the current state of access to maternal health in the target population. This can include information on healthcare utilization, geographical distribution of healthcare facilities, and demographic characteristics of pregnant women.

3. Develop a Simulation Model: Create a simulation model that incorporates the potential recommendations and their expected impact on the identified metrics. This model should consider factors such as population size, geographical distribution, and resource availability.

4. Input Data and Parameters: Input the baseline data and parameters into the simulation model. This includes information on the target population, healthcare infrastructure, and the expected effects of the recommendations.

5. Run Simulations: Run multiple simulations using different scenarios and assumptions to assess the potential impact of the recommendations on improving access to maternal health. This can involve adjusting parameters such as the coverage of telemedicine services, the number of community health workers deployed, or the level of infrastructure improvement.

6. Analyze Results: Analyze the simulation results to evaluate the potential impact of the recommendations on the identified metrics. This can include comparing the outcomes of different scenarios and identifying the most effective strategies for improving access to maternal health.

7. Refine and Iterate: Based on the analysis of the simulation results, refine the recommendations and simulation model as needed. Iterate the process to further optimize the strategies for improving access to maternal health.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of different recommendations and make informed decisions to improve access to maternal health.

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