Evidence map›Paper›PMID 33361248›Full record

ArticleGlobal health, science and practice2020

Improving Hospital Oxygen Systems for COVID-19 in Low-Resource Settings: Lessons From the Field.

Hamish R Graham, Sheillah M Bagayana, Ayobami A Bakare, Bernard O Olayo, Stefan S Peterson, Trevor Duke, Adegoke G Falade

Abstract read
In one paragraph

Article in Global health, science and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

22 citing papers in PubMed, 2 syntheses or guidelines 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

7 authors.

Hamish R GrahamCentre for International Child Health, University of Melbourne, MCRI, Royal Children's Hospital, Melbourne, Australia. hamish.graham@rch.org.au.
Sheillah M BagayanaFREO2 Uganda, FREO2 Foundation, Kampala, Uganda.
Ayobami A BakareDepartment of Community Medicine, University College Hospital, Ibadan, Oyo, Nigeria.
Bernard O OlayoCenter for Public Health and Development, Nairobi, Kenya.
Stefan S PetersonChief of Health, United Nations Children's Fund, New York, NY, USA.
Trevor DukeCentre for International Child Health, University of Melbourne, MCRI, Royal Children's Hospital, Melbourne, Australia.
Adegoke G FaladeDepartment of Paediatrics, University College Hospital, Ibadan, Oyo, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxygen therapy is an essential medicine and core component of effective hospital systems. However, many hospitals in low- and middle-income countries lack reliable oxygen access-a deficiency highlighted and exacerbated by the coronavirus disease (COVID-19) pandemic. Oxygen access can be challenged by equipment that is low quality and poorly maintained, lack of clinical and technical training and protocols, and deficiencies in local infrastructure and policy environment. We share learnings from 2 decades of oxygen systems work with hospitals in Africa and the Asia-Pacific regions, highlighting practical actions that hospitals can take to immediately expand oxygen access. These include strategies to: (1) improve pulse oximetry and oxygen use, (2) support biomedical engineers to optimize existing oxygen supplies, and (3) expand on existing oxygen systems with robust equipment and smart design. We make all our resources freely available for use and local adaptation.

Indexed as

Developing CountriesCOVID-19Health Services AccessibilityHospital AdministrationHumansOximetryOxygenOxygen Inhalation TherapyPandemicsSARS-CoV-2Oxygen

Identifiers

PMID33361248
PMCPMC7784072

What OpenQuestion holds

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LicenceCC BY
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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.