Evidence map›Paper›PMID 31295262›Full record

ArticlePloS one2019

Categorising interventions to levels of inpatient care for small and sick newborns: Findings from a global survey.

Sarah G Moxon, Hannah Blencowe, Patricia Bailey, John Bradley, Louise Tina Day, Pavani K Ram, Jean-Pierre Monet, Allisyn C Moran, Willibald Zeck, Joy E Lawn

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sarah G MoxonDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-6600-6147
Hannah BlencoweDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0003-1556-3159
Patricia BaileyAverting Maternal Death & Disability, Mailman School of Public Health, Columbia University, New York, United States of America.
John BradleyDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Louise Tina DayDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Pavani K RamOffice of Maternal and Child Health and Nutrition, US Agency for International Development, Washington DC, United States of America.
Jean-Pierre MonetTechnical Division, United Nations Population Fund (UNFPA), New York, United States of America.
Allisyn C MoranDepartment of Maternal, Newborn, Child and Adolescent Health, World Health Organisation, Geneva, Switzerland.
Willibald ZeckUNICEF Health Section, United Nations Children's Fund (UNICEF), New York, United States of America.
Joy E LawnDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

Medical Research Council MR/R010161/1World Health Organization 001
6 · The paper itself

Abstract

backgroundIn 2017, 2.5 million newborns died, mainly from prematurity, infections, and intrapartum events. Preventing these deaths requires health systems to provide routine and emergency care at birth, and quality inpatient care for small and sick newborns. Defined levels of emergency obstetric care (EmOC) and standardised measurement of "signal functions" has improved tracking of maternal care in low- and middle-income countries (LMICs). Levels of newborn care, particularly for small and sick newborns, and associated signal functions are still not consistently defined or tracked.

methodsBetween November 2016-November 2017, we conducted an online survey of professionals working in maternal and newborn health. We asked respondents to categorise 18 clinical care interventions that could act as potential signal functions for small and sick newborns to 3 levels of care they thought were appropriate for health systems in LMICs to provide: "routine care at birth", "special care" and "intensive care". We calculated the percentage of respondents that classified each intervention at each level of care and stratified responses to look at variation by respondent characteristics.

resultsSix interventions were classified to specific levels by more than 50% of respondents as "routine care at birth," three interventions as "special care" and one as "intensive care". Eight interventions were borderline between these care levels. Responses were more consistent for interventions with relevant WHO clinical care guidelines while more variation in respondents' classification was observed in complex interventions that lack standards or guidelines. Respondents with experience in lower-income settings were more likely to assign a higher level of care for more complex interventions.

conclusionsResults were consistent with known challenges of scaling up inpatient care in lower-income settings and underline the importance of comprehensive guidelines and standards for inpatient care. Further work is needed to develop a shortlist of newborn signal functions aligned with emergency obstetric care levels to track universal health coverage for mothers and their newborns.

Indexed as

Infant CareInfant, Low Birth WeightMaternal Health ServicesFemaleHospitalizationHumansInfant, NewbornInfant, Newborn, DiseasesInpatientsParturitionPregnancySurveys and Questionnaires

Identifiers

PMID31295262
PMCPMC6623953

What OpenQuestion holds

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Registered trials

None linked

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.