Evidence map›Paper›PMID 33115899›Full record

Observational studyBMJ open2020

Feasibility of using an Early Warning Score for preterm or low birthweight infants in a low-resource setting: results of a mixed-methods study at a national referral hospital in Kenya.

Eleanor J Mitchell, Zahida P Qureshi, Fredrick Were, Jane Daniels, George Gwako, Alfred Osoti, Jacqueline Opira, Lucy Bradshaw, Mary Oliver, Phoebe Pallotti and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

11 authors.

Eleanor J MitchellNottingham Clinical Trials Unit, School of Medicine, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, Nottingham, UK Eleanor.Mitchell@nottingham.ac.uk.ORCID 0000-0002-6998-4533
Zahida P QureshiDepartment of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Nairobi, Kenya.
Fredrick WereDepartment of Paediatrics and Child Health, University of Nairobi, Nairobi, Nairobi, Kenya.
Jane DanielsNottingham Clinical Trials Unit, School of Medicine, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, Nottingham, UK.
George GwakoDepartment of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Nairobi, Kenya.
Alfred OsotiDepartment of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Nairobi, Kenya.
Jacqueline OpiraKenya Paediatric Research Consortium (KEPRECON), Nairobi, Kenya.
Lucy BradshawNottingham Clinical Trials Unit, School of Medicine, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, Nottingham, UK.
Mary OliverSchool of Education, University of Nottingham, Nottingham, Nottinghamshire, UK.
Phoebe PallottiSchool of Health Sciences, University of Nottingham, Nottingham, Nottinghamshire, UK.
Shalini OjhaDivision of Graduate Entry Medicine, School of Medicine, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, Nottingham, UK.ORCID 0000-0001-5668-4227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFifteen million babies are born prematurely, before 37 weeks gestational age, globally. More than 80% of these are in sub-Saharan Africa and Asia. 35% of all deaths in the first month of life are due to prematurity and the neonatal mortality rate is eight times higher in low-income and middle-income countries (LMICs) than in Europe. Early Warning Scores (EWS) are a way of recording vital signs using standardised charts to easily identify adverse clinical signs and escalate care appropriately. A range of EWS have been developed for neonates, though none in LMICs. This paper reports the findings of early work to examine if the use of EWS is feasible in LMICs.

methodsWe conducted an observational study to understand current practices for monitoring of preterm infants at a large national referral hospital in Nairobi, Kenya. Using hospital records, data were collected over an 8-week period in 2019 on all live born infants born at <37 weeks and/or <2500 g (n=294, 255 mothers) in the first week of life. Using a chart adopted from the EWS developed by the British Association of Perinatal Medicine, we plotted infants' vital signs. In addition, we held group discussions with stakeholders in Kenya to examine opinions on use of EWS.

resultsRecording of vital signs was variable; only 63% of infants had at least one temperature recorded and 53% had at least one heart rate and respiratory rate recorded. Stakeholders liked the traffic-light system and simplicity of the chart, though recognised challenges, such as staffing levels and ability to print in colour, to its adoption.

conclusionEWS may standardise documentation and identify infants who are at higher risk of an adverse outcome. However, human and non-human resource issues would need to be explored further before development of an EWS for LMICs.

Indexed as

Infant, PrematureInfant, Very Low Birth WeightKangaroo-Mother Care MethodCesarean SectionEarly Warning ScoreFeasibility StudiesFemaleHospitalsHumansInfantInfant, NewbornKenyaPregnancymaternal medicineneonatologyperinatology

Identifiers

PMID33115899
PMCPMC7594348

What OpenQuestion holds

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Registered trials

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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.