Estimation of perinatal mortality rate for institutional births in Rajasthan state, India, using capture-recapture technique

Burden, Differentials and Causes of Stillbirths in India: A Systematic Review and Meta Analysis

India contributes the highest absolute number of stillbirths in the world. This systematic review and meta-analysis was conducted to synthesize the burden, timing and causes of stillbirths in India. Forty-nine reports from 46 studies conducted in 21 Indian states and Union Territories were included. It was found that there was no uniformity/standardization in the definition of stillbirths and in the classification system used to assign the cause. The share of antepartum stillbirths was estimated to be two-third while remaining were intrapartum stillbirths. Maternal conditions and fetal causes were found to be the leading cause of stillbirth in India. The maternal condition was assigned as the commonest cause (25%) followed by fetal (14%), placental cause (13%), congenital malformation (6%) and intrapartum complications (4%). Approximately 20% of the stillbirths were assigned as unknown or unexplained. This review demonstrates that there is a paucity of quality stillbirth data in India. Other than the state level differences in stillbirth rates, no other data is available on inequities in stillbirths in India. There is an urgent need for strengthening availability and quality of stillbirth data in India on both stillbirth rates as well as the causes. There is a need to conduct additional research to know the timing of the stillbirths, causes of death and actual burden. India needs to strengthen stillbirth audits along with registry to find out the modifiable factors and delays for making country specific preventive strategies. The policy makers, academic community and researchers need to work together to ensure accelerated and equitable reduction in stillbirths in India.

Global Stillbirth Policy Review - Outcomes And Implications Ahead of the 2030 Sustainable Development Goal Agenda

BACKGROUND

Globally, data on stillbirth is limited. A call to action has been issued to governments to address the data gap by strengthening national policies and strategies to drive urgent action on stillbirth reduction. This study aims to understand the policy environment for stillbirths to advance stillbirth recording and reporting in data systems.

METHODS

A systematic three-step process (survey tool examination, identifying relevant study questions, and reviewing country responses to the survey and national documents) was taken to review country responses to the global 2018-2019 World Health Organization (WHO) Reproductive, Maternal, Neonatal, Child and Adolescent Health (RMNCAH) Policy Survey. Policy Survey responses were reviewed to identify if and how stillbirths were included in national documents. This paper uses descriptive analyses to identify and describe the relationship between multiple variables.

RESULTS

Responses from 155 countries to the survey were analysed, and over 800 national policy documents submitted by countries in English reviewed. Fewer than one-fifth of countries have an established stillbirth rate (SBR) target, with higher percentages reported for under-5 (71.0%) and neonatal mortality (68.5%). Two-thirds (65.8%) of countries reported a national maternal death review panel. Less than half (43.9%) of countries have a national policy that requires stillbirths to be reviewed. Two-thirds of countries have a national policy requiring review of neonatal deaths. WHO websites and national health statistics reports are the common data sources for stillbirth estimates. Countries that are signatories to global initiatives on stillbirth reduction have established national targets. Globally, nearly all countries (94.8%) have a national policy that requires every death to be registered. However, 45.5% of reviewed national policy documents made mention of registering stillbirths. Only 5 countries had national policy documents recommending training of health workers in filling out death certificates using the International Classification of Diseases (ICD)-10 for stillbirths.

CONCLUSION

The current policy environment in countries is not supportive for identifying stillbirths and recording causes of death. This is likely to contribute to slow progress in stillbirth reduction. The paper proposes policy recommendations to make every baby count.

Extended Perinatal Mortality Audit in a Rural Hospital in India

OBJECTIVE

The aim of the study is to describe the status of perinatal mortality (PM) in an Indian rural hospital.

STUDY DESIGN

Retrospective analysis of data was compiled from PM meetings (April 2017 to December 2018) following "Making Every Baby Count: audit and review of stillbirths and neonatal deaths (ENAP or Every Newborn Action Plan)."

RESULTS

The study includes 8,801 livebirths, 105 stillbirths (SBs); 74 antepartum stillbirths [ASBs], 22 intrapartum stillbirths [ISBs], and nine unknown timing stillbirths [USBs]), 39 neonatal deaths or NDs (perinatal death or PDs 144). The higher risks for ASBs were maternal age >34 years, previous history of death, and/or SBs. Almost half of the PDs could be related with antepartum complications. More than half of the ASB were related with preeclampsia/eclampsia and abruptio placentae; one-third of the ISB were related with preeclampsia/eclampsia and gestational hypertension, fetal growth restriction, and placental dysfunction. The main maternal conditions differed between PDs (p = 0.005). The main causes of the ND were infections, congenital malformations, complications of prematurity, intrapartum complications, and unknown. The stillbirth rate was 11.8/1,000 births, neonatal mortality rate 4.4/1,000 livebirths, and perinatal mortality rate 15.8/1,000 births.

CONCLUSION

This is the first study of its kind in Andhra Pradesh being the first step for the analysis and prevention of PM.

KEY POINTS

· Many conditions that lead to stillbirths are linked to neonatal deaths and PM has been outside of the global parameters from the last decades.. · This is the first study following International Classification of Disease perinatal mortality codes and the audit of ENAP in Andhra Pradesh.. · Extended PM and mortality are mainly caused by similar preventable and treatable conditions..

Quality of routine health facility data used for newborn indicators in low- and middle-income countries: A systematic review

Background

High-quality data are fundamental for effective monitoring of newborn morbidity and mortality, particularly in high burden low- and middle-income countries (LMIC).

Methods

We conducted a systematic review on the quality of routine health facility data used for newborn indicators in LMIC, including measures employed. Five databases were searched from inception to February 2021 for relevant observational studies (excluding case-control studies, case series, and case reports) and baseline or control group data from interventional studies, with no language limits. An adapted version (19-point scale) of the Critical Appraisal Tool to assess the Quality of Cross-Sectional Studies (AXIS) was used to assess methodological quality, and results were synthesized using descriptive analysis.

Results

From the 19 572 records retrieved, 34 studies in 16 LMIC countries were included. Methodological quality was high (>14/19) in 32 studies and moderate (10-14/19) in two. Studies were mostly from African (n = 30, 88.2%) and South-East Asian (n = 24, 70.6%) World Health Organization (WHO) regions, with very few from Eastern Mediterranean (n = 2, 5.9%) and Western Pacific (n = 1, 2.9%) ones. We found that only data elements used to calculate neonatal indicators had been assessed, not the indicators themselves. 41 data elements were assessed, most frequently birth outcome. 20 measures of data quality were used, most along three dimensions: 1) completeness and timeliness, 2) internal consistency, and 3) external consistency. Data completeness was very heterogeneous across 26 studies, ranging from 0%-100% in routine facility registers, 0%-100% in patient case notes, and 20%-68% in aggregate reports. One study reported on the timeliness of aggregate reports. Internal consistency ranged from 0% to 96.2% in four studies. External consistency (21 studies) varied widely in measurement and findings, with specificity (6.4%-100%), sensitivity (23.6%-97.6%), and percent agreement (24.6%-99.4%) most frequently reported.

Conclusions

This systematic review highlights a gap in the published literature on the quality of routine LMIC health facility data for newborn indicators. Robust evidence is crucial in driving data quality initiatives at national and international levels. The findings of this review indicate that good quality data collection is achievable even in high-burden LMIC settings, but more efforts are needed to ensure uniformly high data quality for neonatal indicators.

Stillbirths including intrapartum timing: EN-BIRTH multi-country validation study

BACKGROUND

An estimated >2 million babies stillborn around the world each year lack visibility. Low- and middle-income countries carry 84% of the burden yet have the least data. Most births are now in facilities, hence routine register-recording presents an opportunity to improve counting of stillbirths, but research is limited, particularly regarding accuracy. This paper evaluates register-recorded measurement of hospital stillbirths, classification accuracy, and barriers and enablers to routine recording.

METHODS

The EN-BIRTH mixed-methods, observational study took place in five hospitals in Bangladesh, Nepal and Tanzania (2017-2018). Clinical observers collected time-stamped data on perinatal care and birth outcomes as gold standard. To assess accuracy of routine register-recorded stillbirth rates, we compared birth outcomes recorded in labour ward registers to observation data. We calculated absolute rate differences and individual-level validation metrics (sensitivity, specificity, percent agreement). We assessed misclassification of stillbirths with neonatal deaths. To examine stillbirth appearance (fresh/macerated) as a proxy for timing of death, we compared appearance to observed timing of intrauterine death based on heart rate at admission.

RESULTS

23,072 births were observed including 550 stillbirths. Register-recorded completeness of birth outcomes was > 90%. The observed study stillbirth rate ranged from 3.8 (95%CI = 2.0,7.0) to 50.3 (95%CI = 43.6,58.0)/1000 total births and was under-estimated in routine registers by 1.1 to 7.3 /1000 total births (register: observed ratio 0.9-0.7). Specificity of register-recorded birth outcomes was > 99% and sensitivity varied between hospitals, ranging from 77.7-86.1%. Percent agreement between observer-assessed birth outcome and register-recorded birth outcome was very high across all hospitals and all modes of birth (> 98%). Fresh or macerated stillbirth appearance was a poor proxy for timing of stillbirth. While there were similar numbers of stillbirths misclassified as neonatal deaths (17/430) and neonatal deaths misclassified as stillbirths (21/36), neonatal deaths were proportionately more likely to be misclassified as stillbirths (58.3% vs 4.0%). Enablers to more accurate register-recording of birth outcome included supervision and data use.

CONCLUSIONS

Our results show these routine registers accurately recorded stillbirths. Fresh/macerated appearance was a poor proxy for intrapartum stillbirths, hence more focus on measuring fetal heart rate is crucial to classification and importantly reduction in these preventable deaths.

Completeness of a Maternal and Perinatal Mortality Enhanced Surveillance System in Pakistan: Evidence from Capture-Recapture Methods

Objectives An enhanced surveillance system that integrated health information systems and extended surveillance to previously uncovered areas to capture all births, perinatal and maternal deaths in a rural district of Pakistan was established in 2015, and this study uses capture-recapture methodology to assess completeness. Methods Births and deaths collected by the survey were matched with the data captured by the enhanced surveillance system. Capture-recapture methodology was used to estimate the total number of births and deaths, measure the degree of underestimation, and adjust mortality rates. Results Of all births, 99% were captured by the enhanced surveillance system. Ninety percent of neonatal deaths and 86% of early neonatal deaths were recorded. The recorded neonatal mortality rate was 40 per 1000 live births (95% CI 35-44), and after adjustment for under-enumeration was 42 per 1000 live births (95% CI 37-46). Recorded rates underestimated neonatal mortality by 5% and perinatal mortality by 7%. Five stillbirths were recorded by the survey and all were matched to recorded stillbirths. The one maternal death recorded by the survey was matched with the maternal death captured by the enhanced surveillance system. The maternal mortality ratio prior to adjustment for under-enumeration was 247 per 100,000 live births (95% CI 147-391), whereas after adjustment it was 246 per 100,000 live births (95% CI 146-389). Conclusion Application of capture-recapture methods to the enhanced surveillance system indicated a high completeness of birth and death recording by the surveillance system.

Level, causes, and risk factors of stillbirth: a population-based case control study from Chandigarh, India

Background

Globally, India ranks first in the absolute number of stillbirths. Hence, the level, causes, and risk factors of stillbirths were estimated to facilitate designing of prevention strategy.

Methods

Capture and recapture method was used to identify 301 stillbirths from 1st July 2013 to 31st August 2014 in Chandigarh Union Territory of India. Verbal autopsies (n = 181) were done at household level to identify causes of stillbirths. Risk factors were determined using case-control approach. Women who had a stillbirth in the past 3 months were enrolled as cases (n = 181) and those who had live-birth in same neighbourhood were included as controls (n = 181). Statistical differences in the distribution of characteristics of cases and controls were tested by t test and chi square test respectively for quantitative and categorical variables. In logistic regression models adjusted odds ratios (aOR) and 95% confidence intervals (CIs) were estimated for various risk factors.

Results

Stillbirth rate was estimated to be 16/1000 birth. Antepartum causes were more common (68%) than intrapartum causes (32%). Among maternal conditions, hypertension (18.2%) and chorio-amnionitis (13.8%), and among foetal conditions, growth restriction (19.9%) and congenital anomalies (18.8%) were the leading causes. In about half of the stillbirths foetal (48%) and maternal (44.7%) causes were unidentifiable. Risk factors of stillbirths were: higher maternal age (aOR 1.1, 95%CI 1.0–1.2), vaginal delivery (aOR 8.1, 95%CI 2.6–26), induced labour (aOR 2.6, 95%CI 1.5–4.5), green or light brown liquor (aOR 2.0, 95%CI 1.1–3.8), preterm delivery (aOR 6.4, 95%CI 3.7–11) and smaller household size (aOR 1.2, 95% CI 1.1–1.3).

Conclusions

Stillbirth rate was high in Chandigarh Union Territory of India. Major causes and risk factors amenable to interventions were infections, hypertension, congenital malformations, foetal growth restriction, pre-maturity and household size. Therefore, better maternity ante-natal and intra-natal care is required to achieve a single digit stillbirth rate.

Electronic supplementary material

The online version of this article (10.1186/s12884-017-1557-4) contains supplementary material, which is available to authorized users.