Accepted for/Published in: JMIR Research Protocols
Date Submitted: Mar 27, 2020
Open Peer Review Period: Mar 27, 2020 - May 22, 2020
Date Accepted: Oct 2, 2020
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Mapping Evidence of Neonatal Resuscitation Training on Practice of Unskilled Birth Attendants in Low- Resource Countries: a scoping review protocol
ABSTRACT
Background:
Competence in neonatal resuscitation of the newborn is very critical to ensure the safety and health of the newborn infants. Effects of acquisition of neonatal resuscitation skills improve self-efficacy, thereby reducing neonatal mortality as a result of asphyxia. About one-quarter of all neonatal deaths globally are caused by birth asphyxia. The need for neonatal resuscitation is most imperative in a resource-constrained setting, where access to intrapartum obstetric care is inadequate and poor.
Objective:
The protocol describes the methodology of a scoping review on evidence of training in neonatal resuscitation and its association with practice in low-resources countries. The aim of the review is to map available evidence of neonatal resuscitation training proficient on unskilled birth attendants practice.
Methods:
This scoping review protocol uses the framework proposed by Arksey & O’Malley and refined by Levac et al, published by Joanna Briggs Institute while following the Preferred Reporting Items for Systematic Review and Meta-Analysis Extension for Scoping Review Protocols guidelines. The search strategy was developed with the assistance of the college librarian. Five peer-reviewed data-bases (EBSCOhost (PsychINFO, Wiley online), PubMed, MEDLINE with full-text, Google Scholar (Science Direct), CINAHL Plus with full text EBSCOhost), databases committed to grey literature sources, and reference extraction will be used. Two independent reviewers will screen and extract data. Discrepancies will be resolved by the third reviewer. The extracted data will undergo a descriptive analysis of contextual data and a quantitative analysis using appropriate statistical methods.
Results:
NULL
Conclusions:
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Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.