Observational studyJournal of global health2019
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Observational study in Journal of global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 135 citations in OpenAlex.
- Effects of the Helping Mothers Survive Bleeding after Birth training on near miss morbidity and mortality in Uganda: A cluster-randomized trial.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2021Trial
- Stillbirth and newborn data quality and use and related input and process factors: findings of the IMPULSE study in Uganda.Journal of global health · 2026Article
- Global, regional and national disease burden of neonatal disorders from 2000 to 2021 and the comparison before and during COVID-19: a systematic analysis.BMC public health · 2025Article
- Measuring ENAP interventions for small and/or sick newborns in routine health information systems: indicators and considerations from a WHO expert consultation.Journal of global health · 2025Article
- Neonatal indicator data in Tanzania District Health Information System: evaluation of availability and quality of selected newborn indicators, 2015-2022.BMC pediatrics · 2025Article
- Assessing the quality of data for selected reproductive health indicators in designated public health facilities in Bangladesh.Journal of global health · 2024Article
- Effect of Performance-Based Nonfinancial Incentives on Data Quality in Individual Medical Records of Institutional Births: Quasi-Experimental Study.JMIR medical informatics · 2024Article
- How and why does mode of birth affect processes for routine data collection and use? A qualitative study in Bangladesh and Tanzania.PLOS global public health · 2024Article
- Neonatal inpatient dataset for small and sick newborn care in low- and middle-income countries: systematic development and multi-country operationalisation with NEST360.BMC pediatrics · 2023Review
- Exploring the accuracy of self-reported maternal and newborn care in select studies from low and middle-income country settings: do respondent and facility characteristics affect measurement?BMC pregnancy and childbirth · 2023Article
- Measuring coverage and quality of supportive care for inpatient neonatal infections: EN-BIRTH multi-country validation study.Journal of global health · 2022Article
- Association between maternal depression and neonatal outcomes: Evidence from a survey of nationally representative longitudinal studies.Frontiers in public health · 2022Article
- Impact evaluation of a maternal and neonatal health training intervention in private Ugandan facilities.Health policy and planning · 2021Article
- Neonatal resuscitation: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
- Uterotonics for prevention of postpartum haemorrhage: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
- Barriers and enablers to routine register data collection for newborns and mothers: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
- Respectful maternal and newborn care: measurement in one EN-BIRTH study hospital in Nepal.BMC pregnancy and childbirth · 2021Observational
- Birthweight: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
- Stillbirths including intrapartum timing: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
- Immediate newborn care and breastfeeding: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
61 authors at 18 institutions in 8 countries.
Funding
Abstract
backgroundTo achieve Sustainable Development Goals and Universal Health Coverage, programmatic data are essential. The Every Newborn Action Plan, agreed by all United Nations member states and >80 development partners, includes an ambitious Measurement Improvement Roadmap. Quality of care at birth is prioritised by both Every Newborn and Ending Preventable Maternal Mortality strategies, hence metrics need to advance from health service contact alone, to content of care. As facility births increase, monitoring using routine facility data in DHIS2 has potential, yet validation research has mainly focussed on maternal recall surveys. The
methodsEN-BIRTH is an observational study including >20 000 facility births in three countries (Tanzania, Bangladesh and Nepal) to validate selected indicators. Direct clinical observation will be compared with facility register data and a pre-discharge maternal recall survey for indicators including: uterotonic administration, immediate newborn care, neonatal resuscitation and Kangaroo mother care. Indicators including neonatal infection management and antenatal corticosteroid administration, which cannot be easily observed, will be validated using inpatient records. Trained clinical observers in Labour/Delivery ward, Operation theatre, and Kangaroo mother care ward/areas will collect data using a tablet-based customised data capturing application. Sensitivity will be calculated for numerators of all indicators and specificity for those numerators with adequate information. Other objectives include comparison of denominator options (ie, true target population or surrogates) and quality of care analyses, especially regarding intervention timing. Barriers and enablers to routine recording and data usage will be assessed by data flow assessments, quantitative and qualitative analyses.
conclusionsTo our knowledge, this is the first large, multi-country study validating facility-based routine data compared to direct observation for maternal and newborn care, designed to provide evidence to inform selection of a core list of indicators recommended for inclusion in national DHIS2. Availability and use of such data are fundamental to drive progress towards ending the annual 5.5 million preventable stillbirths, maternal and newborn deaths.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.