TY - JOUR
T1 - Adverse birth outcomes among women with ‘low-risk’ pregnancies in India
T2 - findings from the Fifth National Family Health Survey, 2019–21
AU - Tandon, Ajay
AU - Roder-DeWan, Sanam
AU - Chopra, Mickey
AU - Chhabra, Sheena
AU - Croke, Kevin
AU - Cros, Marion
AU - Hasan, Rifat
AU - Jammy, Guru Rajesh
AU - Manchanda, Navneet
AU - Nagaraj, Amith
AU - Pandey, Rahul
AU - Pradhan, Elina
AU - Rajkumar, Andrew Sunil
AU - Peters, Michael A.
AU - Kruk, Margaret E.
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/8
Y1 - 2023/8
N2 - Background: Despite substantial progress in improving maternal and newborn health, India continues to experience high rates of newborn mortality and stillbirths. One reason may be that many births happen in health facilities that lack advanced services—such as Caesarean section, blood transfusion, or newborn intensive care. Stratification based on pregnancy risk factors is used to guide ‘high-risk’ women to advanced facilities. To assess the utility of risk stratification for guiding the choice of facility, we estimated the frequency of adverse newborn outcomes among women classified as ‘low risk’ in India. Methods: We used the 2019–21 Fifth National Family Health Survey (NFHS-5)—India's Demographic and Health Survey—which includes modules administered to women aged 15–49 years. In addition to pregnancy history and outcomes, the survey collected a range of risk factors, including biomarkers. We used national obstetric risk guidelines to classify women as ‘high risk’ versus ‘low risk’ and assessed the frequency of stillbirths, newborn deaths, and unplanned Caesarean sections for the respondent's last pregnancy lasting 7 or more months in the past five years. We calculated the proportion of deliveries occurring at non-hospital facilities in all the Indian states. Findings: Using data from nearly 176,699 recent pregnancies, we found that 46.6% of India's newborn deaths and 56.3% of stillbirths were among women who were ‘low risk’ according to national guidelines. Women classified as ‘low risk’ had a Caesarean section rate of 8.4% (95% CI 8.1–8.7%), marginally lower than the national average of 10.0% (95% CI 9.8–10.3%). In India as a whole, 32.0% (95% CI 31.5–32.5%) of deliveries occurred in facilities that were likely to lack advanced services. There was substantial variation across the country, with less than 5% non-hospital public facility deliveries in Punjab, Kerala, and Delhi compared to more than 40% in Odisha, Madhya Pradesh, and Rajasthan. Newborn mortality tended to be lower in states with highest hospital delivery rates. Interpretation: Individual risk stratification based on factors identified in pregnancy fails to accurately predict which women will have delivery complications and experience stillbirth and newborn death in India. Thus a determination of ‘low risk’ should not be used to guide women to health facilities lacking key life saving services, including Caesarean section, blood transfusion, and advanced newborn resuscitation and care. Funding: Bill and Melinda Gates Foundation and the World Bank. The findings, interpretations and conclusions expressed in the paper are entirely those of the authors, and do not represent the views of the Gates Foundation or of the World Bank, its Executive Directors, or the countries they represent.
AB - Background: Despite substantial progress in improving maternal and newborn health, India continues to experience high rates of newborn mortality and stillbirths. One reason may be that many births happen in health facilities that lack advanced services—such as Caesarean section, blood transfusion, or newborn intensive care. Stratification based on pregnancy risk factors is used to guide ‘high-risk’ women to advanced facilities. To assess the utility of risk stratification for guiding the choice of facility, we estimated the frequency of adverse newborn outcomes among women classified as ‘low risk’ in India. Methods: We used the 2019–21 Fifth National Family Health Survey (NFHS-5)—India's Demographic and Health Survey—which includes modules administered to women aged 15–49 years. In addition to pregnancy history and outcomes, the survey collected a range of risk factors, including biomarkers. We used national obstetric risk guidelines to classify women as ‘high risk’ versus ‘low risk’ and assessed the frequency of stillbirths, newborn deaths, and unplanned Caesarean sections for the respondent's last pregnancy lasting 7 or more months in the past five years. We calculated the proportion of deliveries occurring at non-hospital facilities in all the Indian states. Findings: Using data from nearly 176,699 recent pregnancies, we found that 46.6% of India's newborn deaths and 56.3% of stillbirths were among women who were ‘low risk’ according to national guidelines. Women classified as ‘low risk’ had a Caesarean section rate of 8.4% (95% CI 8.1–8.7%), marginally lower than the national average of 10.0% (95% CI 9.8–10.3%). In India as a whole, 32.0% (95% CI 31.5–32.5%) of deliveries occurred in facilities that were likely to lack advanced services. There was substantial variation across the country, with less than 5% non-hospital public facility deliveries in Punjab, Kerala, and Delhi compared to more than 40% in Odisha, Madhya Pradesh, and Rajasthan. Newborn mortality tended to be lower in states with highest hospital delivery rates. Interpretation: Individual risk stratification based on factors identified in pregnancy fails to accurately predict which women will have delivery complications and experience stillbirth and newborn death in India. Thus a determination of ‘low risk’ should not be used to guide women to health facilities lacking key life saving services, including Caesarean section, blood transfusion, and advanced newborn resuscitation and care. Funding: Bill and Melinda Gates Foundation and the World Bank. The findings, interpretations and conclusions expressed in the paper are entirely those of the authors, and do not represent the views of the Gates Foundation or of the World Bank, its Executive Directors, or the countries they represent.
KW - Health system
KW - Health system quality
KW - India
KW - Newborn mortality
KW - Pregnancy risk
KW - Risk stratification
UR - https://www.scopus.com/pages/publications/85165579071
U2 - 10.1016/j.lansea.2023.100253
DO - 10.1016/j.lansea.2023.100253
M3 - Article
AN - SCOPUS:85165579071
SN - 2772-3682
VL - 15
JO - The Lancet Regional Health - Southeast Asia
JF - The Lancet Regional Health - Southeast Asia
M1 - 100253
ER -