Evidence map›Paper›PMID 32399505›Full record

ArticleBMJ paediatrics open2020

Cohort study of neonatal resuscitation skill retention in frontline healthcare facilities in Bihar, India, after PRONTO simulation training.

Brennan V Higgins, Melissa M Medvedev, Hilary Spindler, Rakesh Ghosh, Ojungsangla Longkumer, Susanna R Cohen, Aritra Das, Aboli Gore, Tanmay Mahapatra, Dilys M Walker

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in BMJ paediatrics open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06001879 (Protocol Title), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 19% 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.

NCT06001879 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Protocol Title : Development, Validation, and Evaluation of the Effectiveness of Simulation in Basic Life Support Training (SBLST) on Newly Employed Nurses in Governmental Jordanian Hospitals.

TypeinterventionalSponsoryousef Shukry Mohammad Abu-WardehRan2022 to 2024Enrolled102ConditionsHealthy Nurses, Educational ActivitiesArmsSimulation in basic life support training (SBLST), standard treatment by using an AHA-BLS 2020 brochure
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 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

10 authors at 3 institutions in 3 countries.

Brennan V HigginsDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-8304-6658
Melissa M MedvedevDepartment of Pediatrics, University of California San Francisco, San Francisco, California, USA.
Hilary SpindlerInstitute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.
Rakesh GhoshInstitute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.
Ojungsangla LongkumerPRONTO International, Patna, Bihar, India.
Susanna R CohenCollege of Nursing, University of Utah, Salt Lake City, Utah, USA.
Aritra DasCare India, Patna, Bihar, India.
Aboli GoreCare India, Patna, Bihar, India.
Tanmay MahapatraCare India, Patna, Bihar, India.
Dilys M WalkerSchool of Medicine and Department of Obstetrics-Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · USCare India · INUniversity of Utah · US

Funding

Medical Research Council MR/S004971/1
6 · The paper itself

Abstract

backgroundUse of simulation in neonatal resuscitation (NR) training programmes has increased throughout low-income and middle-income countries. Many of such programmes have demonstrated a positive impact on NR knowledge and skill acquisition along with reduction of early neonatal mortality and fresh stillbirth rates. However, NR skill retention after simulation programmes remains a challenge.

methodsThis study assessed facility level NR skill retention after PRONTO International's simulation training in Bihar, India. Training was conducted within CARE India's statewide in-job, on-site Apatkaleen Matritva evam Navjat Tatparta mentoring programme as part of a larger quality improvement and health systems strengthening initiative. Public sector facilities were initially offered training, facilitated by trained nursing graduates, during 8-month phases between September 2015 and January 2017. Repeat training began in February 2018 and was facilitated by peers. NR skills in simulated resuscitations were assessed at the facility level at the midpoint and endpoint of initial training and prior to and at the midpoint of repeat training.

resultsFacilities administering effective positive pressure ventilation and assessing infant heart rate increased (31.1% and 13.1%, respectively, both p=0.03) from midinitial to postinitial training (n=64 primary health centres (PHCs) and 192 simulations). This was followed by a 26.2% and 20.9% decline in these skills respectively over the training gap (p≤0.01). A significant increase (16.1%, p=0.04) in heart rate assessment was observed by the midpoint of repeat training with peer facilitators (n=45 PHCs and 90 simulations). No significant change was observed in other skills assessed.

conclusionsDespite initial improvement in select NR skills, deterioration was observed at a facility-level post-training. Given the technical nature of NR skills and the departure these skills represent from traditional practices in Bihar, refresher trainings at shorter intervals are likely necessary. Very limited evidence suggests peer simulation facilitators may enable such increased training frequency, but further study is required.

Indexed as

neonatologyresuscitation

Identifiers

PMID32399505
PMCPMC7204812
OpenAlexW3020085558

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.