Observational studyBMC pregnancy and childbirth2021
Kangaroo mother care: EN-BIRTH multi-country validation study.
Observational study in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What influences the implementation of kangaroo mother care? An umbrella review.BMC pregnancy and childbirth · 2022Pooled it
- The effect of post discharge Kangaroo mother care with and without telephone advice on anthropometric indexes of preterm newborns: a randomized clinical trial.BMC pediatrics · 2025Trial
- Lived Experiences of Mothers With Preterm Infants Providing Kangaroo Mother Care.Nursing open · 2026Article
- Article
- Bridging the Survival Gap: Strengthening Post-Discharge Care for Preterm Infants in Tanzania.Annals of global health · 2026Article
- Advancing maternal and newborn healthcare measurement: developing quality of care indices for postnatal and small and/or sick newborn care in low- and middle-income countries.Journal of global 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
- Article
- Kangaroo mother care among hospitalised neonates: evaluation of the validity of duration measurement methods compared to observation linked to the OMWaNA trial in Uganda.BMC pediatrics · 2025Observational
- Article
- 'Counselling is the only thing to do': healthcare providers' experience of Kangaroo Mother Care in Bangladesh - a qualitative study.BMJ public health · 2024Article
- Parental perceptions and experiences of kangaroo care for preterm infants in neonatal intensive care units in China: a qualitative study.BMC pregnancy and childbirth · 2024Article
- Travelling numbers and broken loops: A qualitative systematic review on collecting and reporting maternal and neonatal health data in low-and lower-middle income countries.SSM - population health · 2024Review
- Healthcare providers' perceptions and experiences of kangaroo mother care for preterm infants in four neonatal intensive care units in China: a qualitative descriptive study.Frontiers in public health · 2024Article
- The clinical experience of early skin-to-skin contact combined with non-nutritive comfort sucking in mothers of preterm infants: a qualitative study.BMC pregnancy and childbirth · 2023Article
- Exploring caregivers' experiences of Kangaroo Mother Care in Bangladesh: A descriptive qualitative study.PloS one · 2023Article
- The efficacy of Kangaroo-Mother care to the clinical outcomes of LBW and premature infants in the first 28 days: A meta-analysis of randomized clinical trials.Frontiers in pediatrics · 2023Review
- Ending Neonatal Deaths From Hypothermia in Sub-Saharan Africa: Call for Essential Technologies Tailored to the Context.Frontiers in public health · 2022Article
- Impact of early kangaroo mother care versus standard care on survival of mild-moderately unstable neonates <2000 grams: A randomised controlled trial.EClinicalMedicine · 2021Article
- Barriers and enablers to routine register data collection for newborns and mothers: EN-BIRTH multi-country validation study.BMC pregnancy and childbirth · 2021Observational
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
backgroundKangaroo mother care (KMC) reduces mortality among stable neonates ≤2000 g. Lack of data tracking coverage and quality of KMC in both surveys and routine information systems impedes scale-up. This paper evaluates KMC measurement as part of the Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study.
methodsThe EN-BIRTH observational mixed-methods study was conducted in five hospitals in Bangladesh, Nepal and Tanzania from 2017 to 2018. Clinical observers collected time-stamped data as gold standard for mother-baby pairs in KMC wards/corners. To assess accuracy, we compared routine register-recorded and women's exit survey-reported coverage to observed data, using different recommended denominator options (≤2000 g and ≤ 2499 g). We analysed gaps in quality of provision and experience of KMC. In the Tanzanian hospitals, we assessed daily skin-to-skin duration/dose and feeding frequency. Qualitative data were collected from health workers and data collectors regarding barriers and enablers to routine register design, filling and use.
resultsAmong 840 mother-baby pairs, compared to observed 100% coverage, both exit-survey reported (99.9%) and register-recorded coverage (92.9%) were highly valid measures with high sensitivity. KMC specific registers outperformed general registers. Enablers to register recording included perceptions of data usefulness, while barriers included duplication of data elements and overburdened health workers. Gaps in KMC quality were identified for position components including wearing a hat. In Temeke Tanzania, 10.6% of babies received daily KMC skin-to-skin duration/dose of ≥20 h and a further 75.3% received 12-19 h. Regular feeding ≥8 times/day was observed for 36.5% babies in Temeke Tanzania and 14.6% in Muhimbili Tanzania. Cup-feeding was the predominant assisted feeding method. Family support during admission was variable, grandmothers co-provided KMC more often in Bangladesh. No facility arrangements for other family members were reported by 45% of women at exit survey.
conclusionsRoutine hospital KMC register data have potential to track coverage from hospital KMC wards/corners. Women accurately reported KMC at exit survey and evaluation for population-based surveys could be considered. Measurement of content, quality and experience of KMC need consensus on definitions. Prioritising further KMC measurement research is important so that high quality data can be used to accelerate scale-up of high impact care for the most vulnerable.
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