Evidence map›Paper›PMID 34281001›Full record

ReviewInternational journal of environmental research and public health2021

Disinfection of Neonatal Resuscitation Equipment in Low-Resource Settings: The Importance, the Reality, and Considerations for the Future.

Anne M White, Dominic Mutai, David Cheruiyot, Amy R L Rule, Joel E Mortensen, Joshua K Schaffzin, Beena D Kamath-Rayne

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 4 institutions in 2 countries.

Anne M WhiteUniversity of Minnesota Masonic Children's Hospital, University of Minnesota, Minneapolis, MN 55454, USA.
Dominic MutaiTenwek Hospital, Bomet 20400, Kenya.
David CheruiyotTenwek Hospital, Bomet 20400, Kenya.
Amy R L RuleCincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Joel E MortensenCincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Joshua K SchaffzinCincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Beena D Kamath-RayneAmerican Academy of Pediatrics, Itasca, IL 60143, USA.
Cincinnati Children's Hospital Medical Center · USTenwek Hospital · KEAmerican Academy of Pediatrics · USUniversity of Minnesota Children's Hospital · US

Funding

Cincinnati Children's Hospital Medical Center Place Outcomes Award N/ALaerdal Foundation N/A
6 · The paper itself

Abstract

Preventable neonatal deaths due to prematurity, perinatal events, and infections are the leading causes of under-five mortality. The vast majority of these deaths are in resource-limited areas. Deaths due to infection have been associated with lack of access to clean water, overcrowded nurseries, and improper disinfection (reprocessing) of equipment, including vital resuscitation equipment. Reprocessing has recently come to heightened attention, with the COVID-19 pandemic bringing this issue to the forefront across all economic levels; however, it is particularly challenging in low-resource settings. In 2015, Eslami et al. published a letter to the editor in

Indexed as

COVID-19DisinfectionEquipment ContaminationFemaleHumansInfant, NewbornKenyaMalawiPandemicsPregnancyResuscitationSARS-CoV-2disinfectionglobal child healthneonatal infectionneonatal mortalityreprocessing

Identifiers

PMID34281001
PMCPMC8297370
OpenAlexW3174533927

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.