Effect of the COVID-19 pandemic response on intrapartum care, stillbirth, and neonatal mortality outcomes in Nepal: a prospective observational study

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Study Justification:
The study aims to assess the impact of the COVID-19 pandemic response on intrapartum care, stillbirth, and neonatal mortality outcomes in Nepal. The COVID-19 pandemic has disrupted healthcare services worldwide, and it is important to understand how this has affected maternal and neonatal health in order to develop strategies to mitigate the negative consequences.
Highlights:
– The study collected data from pregnant women enrolled in two quality improvement studies in nine hospitals in Nepal.
– The study compared outcomes before and during the national COVID-19 lockdown in Nepal.
– The number of institutional births decreased by 52.4% during the lockdown.
– The institutional stillbirth rate increased from 14 per 1000 total births before lockdown to 21 per 1000 total births during lockdown.
– The institutional neonatal mortality rate increased from 13 per 1000 livebirths to 40 per 1000 livebirths during lockdown.
– Quality of care indicators, such as intrapartum fetal heart rate monitoring and breastfeeding within 1 hour of birth, decreased during lockdown.
– However, some positive changes were observed, including improved hand hygiene practices and increased skin-to-skin contact between newborns and their mothers.
Recommendations:
– Urgent action is needed to protect access to high-quality intrapartum care during the pandemic period.
– Strategies should be implemented to prevent excess deaths among vulnerable populations.
– Efforts should be made to improve the quality of care, particularly in areas such as fetal heart rate monitoring and timely breastfeeding initiation.
Key Role Players:
– Ministry of Health: Responsible for policy development and implementation.
– Health facility administrators: Ensure the availability of resources and support for high-quality intrapartum care.
– Healthcare providers: Responsible for delivering care and implementing recommended practices.
– Community health workers: Play a crucial role in educating and supporting pregnant women and their families.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers.
– Provision of necessary equipment and supplies.
– Community outreach and education programs.
– Monitoring and evaluation activities to assess the impact of interventions.
Please note that the cost items provided are general suggestions and may vary depending on the specific context and resources available in Nepal.

Background: The COVID-19 pandemic response is affecting maternal and neonatal health services all over the world. We aimed to assess the number of institutional births, their outcomes (institutional stillbirth and neonatal mortality rate), and quality of intrapartum care before and during the national COVID-19 lockdown in Nepal. Methods: In this prospective observational study, we collected participant-level data for pregnant women enrolled in the SUSTAIN and REFINE studies between Jan 1 and May 30, 2020, from nine hospitals in Nepal. This period included 12·5 weeks before the national lockdown and 9·5 weeks during the lockdown. Women were eligible for inclusion if they had a gestational age of 22 weeks or more, a fetal heart sound at time of admission, and consented to inclusion. Women who had multiple births and their babies were excluded. We collected information on demographic and obstetric characteristics via extraction from case notes and health worker performance via direct observation by independent clinical researchers. We used regression analyses to assess changes in the number of institutional births, quality of care, and mortality before lockdown versus during lockdown. Findings: Of 22 907 eligible women, 21 763 women were enrolled and 20 354 gave birth, and health worker performance was recorded for 10 543 births. From the beginning to the end of the study period, the mean weekly number of births decreased from 1261·1 births (SE 66·1) before lockdown to 651·4 births (49·9) during lockdown—a reduction of 52·4%. The institutional stillbirth rate increased from 14 per 1000 total births before lockdown to 21 per 1000 total births during lockdown (p=0·0002), and institutional neonatal mortality increased from 13 per 1000 livebirths to 40 per 1000 livebirths (p=0·0022). In terms of quality of care, intrapartum fetal heart rate monitoring decreased by 13·4% (−15·4 to −11·3; p<0·0001), and breastfeeding within 1 h of birth decreased by 3·5% (−4·6 to −2·6; p=0·0032). The immediate newborn care practice of placing the baby skin-to-skin with their mother increased by 13·2% (12·1 to 14·5; p<0·0001), and health workers' hand hygiene practices during childbirth increased by 12·9% (11·8 to 13·9) during lockdown (p<0·0001). Interpretation: Institutional childbirth reduced by more than half during lockdown, with increases in institutional stillbirth rate and neonatal mortality, and decreases in quality of care. Some behaviours improved, notably hand hygiene and keeping the baby skin-to-skin with their mother. An urgent need exists to protect access to high quality intrapartum care and prevent excess deaths for the most vulnerable health system users during this pandemic period. Funding: Grand Challenges Canada.

This is a prospective, observational study nested within two quality improvement studies, REFINE (ISRCTN16741720) and SUSTAIN (ISRCTN18148368), being done in nine health institutions in Nepal to implement a safer birth bundle package for 24 months (from January, 2019, to December, 2020; appendix 3 p 3).16 We report data over a period of 5 months including 12·5 weeks before lockdown implementation (Jan 1–March 20, 2020) and 9·5 weeks during lockdown (March 21–May 30, 2020). The nine hospitals were distributed across all seven provinces of the country (appendix 3 p 11). The annual number of births in these nine hospitals covered 11·2% of the national number of births for 2019.16 The hospitals in the study provided referral obstetric services through Comprehensive and Emergency Obstetrics and Neonatal Care services. All vaginal births took place in delivery units and caesarean births took place in operating theatres. At these nine hospitals, during the study period, no cases of COVID-19 were reported before lockdown and 1401 cases were reported during lockdown, but no cases were reported among pregnant women. There was no closure of any of the nine hospitals in the study as a result of reporting COVID-19 cases during the study period. Participants who consented and were enrolled in the REFINE and SUSTAIN studies were considered for this study. Women at 22 weeks of gestation or more admitted in the labour room and whose fetal heart sound was heard at the time of admission were eligible for inclusion. For use of the participant-level data for this study, additional approval was sought from the ethical review board of Nepal Health Research Council (registration number 439/2020). For this study, we excluded women who had multiple births and their babies. Participants provided informed written consent at the time of admission to the hospital. The SUSTAIN and REFINE studies were granted ethical approval by the ethical review board of Nepal Health Research Council. We extracted participant-level data from the existing data collection systems for the REFINE and SUSTAIN studies. For these studies, a validated clinical observation checklist was used to observe the labour and delivery event for all vaginal births possible, and women's obstetric and neonatal information was collected from patient case notes. A data collection system was set up at each hospital and observations were done by independent clinical researchers using a tablet-based application. All the data entered in the tablet-based application were reviewed on a weekly basis by an independent database manager. For this study, data were extracted by OB into SPSS software (version 17.0) for cleaning of extracted data of all births and observed data from all vaginal births. Institutional stillbirth rate was defined as the number of babies born in the institution with no signs of life, with a gestational age of 22 weeks or more, per 1000 births. Institutional neonatal mortality rate was defined as the number of neonates who died before discharge per 1000 livebirths. The health worker's performance during intrapartum care was measured on the basis of WHO's 2016 Standards for improving quality of maternal and newborn care in health facilities quality of care statement and process of care.17 The nine components of these standards are (1) health worker's handwashing practice during childbirth, defined as health-care staff who cleaned their hands correctly as per WHO's five moments for hand hygiene; (2) health worker's use of gloves and gown to reduce infection transmission during childbirth; (3) preparation of equipment to be used during childbirth; (4) health worker greeting the mother at the time of admission; (5) women having a companion during labour; (6) intrapartum fetal heart rate monitoring at 30 min intervals; (7) neonate's cord clamped 1 min after birth; (8) neonatal skin-to-skin contact with mother after birth; and (9) breastfeeding within 1 h of birth. For sociodemographic characteristics, ethnicity was recorded on the basis of the caste system in Nepal (ie, relatively disadvantaged ethnic groups [Janajati, Madeshi, Muslim, Dalit] and relatively advantaged ethnic groups [Brahmin and Chhetri-Hill, and Brahmin-Tarai]).18 We report women's age as mean (SD) and categorised as 18 years or younger, 19–24 years, 25–29 years, 30–34 years, and 35 years or older. Parity was defined as no previous births, at least one previous birth, or two or more previous births. Obstetric characteristic measurements included were complication at the time of admission, induced labour, and mode of birth, including spontaneous vaginal birth, assisted vaginal birth, and caesarean birth. For neonatal characteristics, we captured preterm birth (defined as <37 weeks of gestation on the basis of first day of mother's last menstrual period), low birthweight (≤2500 g), and sex of the baby (boy, girl, or ambiguous). We compared demographic, obstetric, and neonatal characteristics before and during lockdown using Pearson's χ2 test. We analysed the coverage of health worker's performance before and during lockdown using Pearson's χ2 test. To measure the weekly change in the number of births, we used a segmented time series model. We checked for autocorrelation using the autocorrelation factor for the outcome variable and found no significant autocorrelation.19 We used a generalised linear model with Poisson distribution and log-link function to calculate the risk of preterm birth, institutional stillbirth, and institutional neonatal mortality before and during lockdown. We adjusted for ethnicity, maternal age, and obstetric characteristics to calculate the risk of preterm birth, institutional stillbirth, and institutional neonatal mortality. We assessed the between-hospital heterogeneity on preterm birth, institutional stillbirth, and institutional neonatal mortality. We compared the weekly trend in the number of institutional births between January and May, 2019, and between January and May, 2020, to assess the difference between the two different time periods. To assess trends in outcome variables and health worker performance before and during the COVID-19 lockdown, we used locally weighted scatterplot smoothing regression analysis. We imputed missing values for gestational age using the Classification and Regression Tree method in the mice package in R. We did all data analyses using R (version 3.6.2). The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the manuscript. 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 provided information, here are some potential innovations that could be recommended to improve access to maternal health:

1. Telemedicine: Implementing telemedicine services can allow pregnant women to receive prenatal care and consultations remotely, reducing the need for in-person visits and increasing access to healthcare professionals.

2. Mobile health (mHealth) applications: Developing mobile applications that provide educational resources, appointment reminders, and personalized health information can empower pregnant women to take control of their own health and access necessary information easily.

3. Community health workers: Training and deploying community health workers who can provide basic prenatal care, education, and support to pregnant women in remote or underserved areas can improve access to maternal health services.

4. Transportation services: Establishing transportation services specifically for pregnant women in rural or remote areas can help overcome geographical barriers and ensure that women can reach healthcare facilities in a timely manner.

5. Remote monitoring devices: Introducing remote monitoring devices, such as wearable sensors or mobile apps, can enable healthcare providers to remotely monitor the health of pregnant women, detect any potential complications, and provide timely interventions.

6. Public-private partnerships: Collaborating with private healthcare providers and organizations can help expand access to maternal health services, especially in areas where public healthcare facilities are limited.

7. Maternal health hotlines: Setting up dedicated hotlines staffed by healthcare professionals can provide pregnant women with immediate access to medical advice, support, and guidance.

8. Maternal health awareness campaigns: Launching targeted awareness campaigns to educate communities about the importance of maternal health, available services, and how to access them can help reduce barriers and increase utilization of maternal health services.

9. Financial incentives: Introducing financial incentives, such as subsidies or cash transfers, for pregnant women seeking prenatal care and delivering in healthcare facilities can help overcome financial barriers and encourage utilization of maternal health services.

10. Strengthening healthcare infrastructure: Investing in improving healthcare infrastructure, including the availability of skilled healthcare professionals, medical equipment, and facilities, can enhance access to quality maternal health services.

It is important to note that the specific context and needs of the target population should be considered when implementing these innovations to ensure their effectiveness and sustainability.
AI Innovations Description
The study titled “Effect of the COVID-19 pandemic response on intrapartum care, stillbirth, and neonatal mortality outcomes in Nepal: a prospective observational study” aimed to assess the impact of the COVID-19 pandemic on maternal and neonatal health services in Nepal. The study collected data from pregnant women enrolled in the SUSTAIN and REFINE studies from January 1 to May 30, 2020, in nine hospitals in Nepal. The study compared the number of institutional births, institutional stillbirth and neonatal mortality rates, and the quality of intrapartum care before and during the national COVID-19 lockdown.

The findings of the study showed a significant decrease in the number of institutional births during the lockdown period compared to before the lockdown. The institutional stillbirth rate and institutional neonatal mortality rate increased during the lockdown. In terms of quality of care, there was a decrease in intrapartum fetal heart rate monitoring and breastfeeding within 1 hour of birth, but an increase in the immediate newborn care practice of placing the baby skin-to-skin with their mother and health workers’ hand hygiene practices during childbirth.

Based on these findings, the study highlights the urgent need to protect access to high-quality intrapartum care and prevent excess deaths for vulnerable individuals during the COVID-19 pandemic. The study emphasizes the importance of maintaining essential maternal and neonatal health services and improving the quality of care provided during this challenging period.

To improve access to maternal health, the following recommendations can be considered:

1. Strengthening healthcare infrastructure: Ensure that healthcare facilities have adequate resources, equipment, and trained healthcare professionals to provide essential maternal health services, even during emergencies such as pandemics.

2. Telehealth and remote monitoring: Implement telehealth and remote monitoring systems to provide prenatal and postnatal care, as well as consultations, to pregnant women who may face challenges in accessing healthcare facilities during lockdowns or other restrictive measures.

3. Community-based interventions: Engage community health workers and volunteers to provide education, support, and basic maternal health services to pregnant women in their communities. This can help bridge the gap in access to healthcare facilities during times of restricted mobility.

4. Mobile health (mHealth) solutions: Utilize mobile health technologies, such as mobile applications and text messaging, to deliver important health information, reminders, and guidance to pregnant women. This can help improve access to information and promote healthy behaviors during pregnancy.

5. Collaboration and coordination: Foster collaboration and coordination among healthcare providers, government agencies, non-governmental organizations, and other stakeholders to ensure a comprehensive and integrated approach to maternal health during emergencies. This can help optimize resource allocation and minimize duplication of efforts.

6. Addressing social determinants of health: Recognize and address the social determinants of health that may impact access to maternal health services, such as poverty, gender inequality, and lack of education. Implement targeted interventions to address these underlying factors and promote equitable access to care.

By implementing these recommendations, it is possible to develop innovative approaches that improve access to maternal health, even in challenging circumstances like the COVID-19 pandemic.
AI Innovations Methodology
The study you provided is titled “Effect of the COVID-19 pandemic response on intrapartum care, stillbirth, and neonatal mortality outcomes in Nepal: a prospective observational study.” The study aimed to assess the impact of the COVID-19 pandemic response on maternal and neonatal health services in Nepal. The methodology used in the study involved collecting participant-level data for pregnant women enrolled in the SUSTAIN and REFINE studies from nine hospitals in Nepal. The data collection period included 12.5 weeks before the national lockdown and 9.5 weeks during the lockdown. The study analyzed changes in the number of institutional births, quality of care, and mortality rates before and during the lockdown using regression analyses.

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

1. Identify the recommendations: Review existing literature, guidelines, and expert opinions to identify potential recommendations for improving access to maternal health. These recommendations could include interventions such as increasing the number of healthcare facilities, improving transportation infrastructure, enhancing healthcare workforce capacity, implementing telemedicine services, and promoting community-based care.

2. Define indicators: Determine the indicators that will be used to measure the impact of the recommendations on improving access to maternal health. These indicators could include the number of institutional births, stillbirth rates, neonatal mortality rates, quality of care measures, and other relevant metrics.

3. Collect baseline data: Gather baseline data on the current state of maternal health access in the target population or region. This data could include information on the number of institutional births, stillbirth and neonatal mortality rates, healthcare infrastructure, healthcare workforce capacity, and other relevant factors.

4. Develop a simulation model: Create a simulation model that incorporates the baseline data and the identified recommendations. The model should simulate the impact of implementing the recommendations on the defined indicators of maternal health access. This could involve using statistical modeling techniques, such as regression analysis or mathematical modeling, to estimate the potential effects of the recommendations.

5. Validate the model: Validate the simulation model by comparing its outputs with real-world data or expert opinions. This step ensures that the model accurately represents the potential impact of the recommendations on improving access to maternal health.

6. Simulate the impact: Run the simulation model with different scenarios to assess the potential impact of implementing the recommendations. This could involve varying parameters such as the scale of implementation, the timeline for implementation, and the resources allocated to each recommendation.

7. Analyze the results: Analyze the outputs of the simulation model to understand the potential effects of the recommendations on improving access to maternal health. This could include quantifying the changes in the defined indicators, identifying potential challenges or limitations, and assessing the cost-effectiveness of the recommendations.

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

By following this methodology, policymakers and healthcare stakeholders can gain insights into the potential impact of different recommendations on improving access to maternal health. This information can inform decision-making and resource allocation to prioritize interventions that are most likely to have a positive impact on maternal health outcomes.

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