Evidence map›Paper›PMID 36545665›Full record

ArticleFrontiers in pediatrics2022

Bridging the gap in neonatal resuscitation in Zambia.

Kunda Mutesu-Kapembwa, Jyoti Lakhwani, Rodgers Gift Benkele, Sylvia Machona, Mwila Sekeseke Shamalavu, Jean Musonda Chintende, Susan Mwila Chisela, Sharon Kapoma, Jackson Mwanza, Wisdom Chelu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

13 authors at 4 institutions in 4 countries.

Kunda Mutesu-KapembwaDepartment of Neonatology, Women and Newborn Hospital, University Teaching Hospitals, Lusaka, Zambia.
Jyoti LakhwaniDepartment of Neonatology, Women and Newborn Hospital, University Teaching Hospitals, Lusaka, Zambia.
Rodgers Gift BenkeleNewborn Support Zambia, Lusaka, Zambia.
Sylvia MachonaDepartment of Neonatology, Women and Newborn Hospital, University Teaching Hospitals, Lusaka, Zambia.
Mwila Sekeseke ShamalavuDepartment of Neonatology, Women and Newborn Hospital, University Teaching Hospitals, Lusaka, Zambia.
Jean Musonda ChintendeDepartment of Neonatology, Women and Newborn Hospital, University Teaching Hospitals, Lusaka, Zambia.
Susan Mwila ChiselaCouncil of International Neonatal Nurses, Lusaka, Zambia.
Sharon KapomaDepartment of Neonatology, Women and Newborn Hospital, University Teaching Hospitals, Lusaka, Zambia.
Jackson MwanzaClinical Anaesthetist Association of Zambia (CAAZ), California, CA, United States.
Wisdom CheluClinical Anaesthetist Association of Zambia (CAAZ), California, CA, United States.
Martha MwendafilumbaNewborn Support Zambia, Lusaka, Zambia.
Kenneth KapembwaNewborn Support Zambia, Lusaka, Zambia.
Vincent D GaertnerNewborn Research, Department of Neonatology, University Hospital and University of Zurich, Zurich, Switzerland.
University Teaching Hospital · ZMNational HIV/AIDS/STI/TB Council · ZMNia Association · USUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal resuscitation has been poorly instituted in many parts of Africa and most neonatal resuscitation algorithms are adapted from environments with abundant resources. Helping Babies Breathe (HBB) is an algorithm designed for resource-limited situations and most other algorithms are designed for resource-rich countries. However, there are neonatal referral centers in resource-limited countries who may provide more advanced resuscitation. Thus, we developed a neonatal resuscitation algorithm for a resource-limited country (Zambia) which considers more advanced interventions in situations where they can be provided. The algorithm described in this paper is based on the Newborn Life Support algorithm from the UK as well as the HBB algorithm and accounts for all situations in a resource-limited country. Most importantly, it focuses on non-invasive ventilation but includes advice on more advanced resuscitation including intravenous access, fluid management, chest compressions and adrenaline for resuscitation. Although intubation skills are included in neonatal training workshops, it is not the main focus of the algorithm as respiratory support equipment is scarce or lacking in most health facilities in Zambia. A home-grown neonatal resuscitation algorithm for a resource-limited country such as Zambia is likely to bridge the gap between limited situations requiring only bag and mask ventilation and better equipped institutions where more advanced resuscitation is possible. This algorithm will be rolled out in all training institutions and delivery facilities across Zambia over the next months.

Indexed as

algorithmbag and maskhelping babies breatheneonatal resuscitationresource limited

Identifiers

PMID36545665
PMCPMC9760668
OpenAlexW4311508940

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.