Evidence map›Paper›PMID 37709835›Full record

ArticleScientific reports2023

Insights from a cross-sectional survey of neonatal resuscitation instructors from India.

Purvi Patel, Somashekhar Nimbalkar, Mayur Shinde

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

3 authors.

Purvi PatelDepartment of Pediatrics, Pramukhswami Medical College, Bhaikaka University, Karamsad, Anand, Gujarat, 388325, India. evergreen.purvi@yahoo.in.
Somashekhar NimbalkarDepartment of Neonatology, Pramukhswami Medical College, Bhaikaka University, Karamsad, Anand, Gujarat, India.
Mayur ShindeDepartment of Central Research Services, Pramukhswami Medical College, Bhaikaka University, Karamsad, Anand, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal resuscitation training can change outcomes of neonatal mortality due to perinatal asphyxia. Recently, in 2021, the advanced NRP course material was changed, and for Basic NRP, a hybrid course was introduced in India. We assessed the instructor's feedback to improve the conduct of the IAP NNF NRP Program as well as get their perception of the effectiveness, usefulness, and pitfalls of the new hybrid Basic NRP course (offline + online). A cross-sectional survey was conducted amongst instructors across India with current status with IAP NRP FGM Office. The data were exported to a Microsoft Excel Spreadsheet. STATA 14.2 was used for descriptive [Frequency (percent) analysis. 827 basic and 221 advanced NRP instructors responded. Bag and mask ventilation was identified as the most important step in basic 468 (56.6%) and advanced 147 (66.5%) courses. In the basic NRP, almost two third (71.0%) participants believe that it is challenging to conduct a case scenario for bag and mask ventilation, whereas, in the advanced course, intubation 116 (52.5%) was considered the most difficult step to teach and medication 80(36.2%) followed by intubation 62(28.1%) are the most difficult steps to conduct case scenario. 725(87.7%) reported that it would be easy to explain them in an offline course after completion of an online course. Most of the instructors were satisfied with the course structure, material, overall quality of the workshop, and support from the IAP NRP office. Constructive suggestions were obtained from the instructors for improvement of the course.

Indexed as

ResuscitationCross-Sectional StudiesFemaleHumansIndiaInfant, NewbornPregnancyRespiration

Identifiers

PMID37709835
PMCPMC10502049

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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.