Evidence map›Paper›PMID 33425334›Full record

ArticleJournal of global health2020

Simulation and team training embedded nurse mentoring programme and improvement in intrapartum and newborn care in a low-resource setting in Bihar, India.

Rakesh Ghosh, Hilary Spindler, Jessica Dyer, Amelia Christmas, Susanna R Cohen, Aritra Das, Sunil Sonthalia, Tanmay Mahapatra, Aboli Gore, Hemant Shah and 1 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02726230 (Bihar Family Health Initiative), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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.

NCT02726230 nacompletednot on this map

Bihar Family Health Initiative (Ananya)

TypeinterventionalSponsorUniversity of California, San DiegoRan2012 to 2014Enrolled27,633ConditionsMaternal and Child HealthArmsAnanya
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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  16. Learning fromJournal of global health · 2020
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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

11 authors at 3 institutions in 2 countries.

Rakesh GhoshGlobal Health Sciences, University of California San Francisco, San Francisco, California, USA.
Hilary SpindlerGlobal Health Sciences, University of California San Francisco, San Francisco, California, USA.
Jessica DyerPRONTO International, Seattle, Washington, USA.
Amelia ChristmasPRONTO International, Patna, Bihar, India.
Susanna R CohenCollege of Nursing, University of Utah, Salt Lake City, Utah, USA.
Aritra DasCARE India, Bihar, India.
Sunil SonthaliaCARE India, Bihar, India.
Tanmay MahapatraCARE India, Bihar, India.
Aboli GoreCARE India, Bihar, India.
Hemant ShahCARE India, Bihar, India.
Dilys M WalkerGlobal Health Sciences, University of California San Francisco, San Francisco, California, USA.
Care India · INUniversity of California, San Francisco · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImprovement of the quality of maternal and child health care remains a focus in India. Working with the Government of Bihar, CARE-India facilitated a comprehensive set of quality of care improvement initiatives. PRONTO's simulation and team-training was incorporated into the large-scale

methodsDeliveries were observed to obtain specific information on evidence-based practice (EBP) indicators before and after the intervention. Intrapartum and newborn care composite scores - were calculated using those EBP indicators. A web-based routine monitoring system provided total training days, weeks and days/week of training and counts of simulation and teamwork-communication activities. Multilevel linear regression was used to examine the exposure-outcome associations.

resultsThe final analysis included 668 normal spontaneous vaginal deliveries (NSVDs) from 289 public health facilities in Bihar. Facility-level intrapartum and newborn scores improved by 37 and 26-percentage points, respectively, from baseline to endline. Compared to the bottom one-third facilities that performed fewest NSVD simulations, the top one-third had 6 (95% confidence interval (CI) = 1-12) percentage points higher intrapartum score. Similar comparison using maternal complication simulations yielded 7 (95% CI = 1-12) percentage point higher scores. The highest newborn scores were observed in the middle one-third of facilities relative to the bottom one-third that did the fewest NSVD simulations (5, 95% CI: 1-10).

conclusionsFindings suggest significant overall improvement in intrapartum and newborn care practices after the AMANAT nurse-mentoring program in public sector BEmONC facilities. Simulation and team-training likely contributed towards the overall improvement, especially for intrapartum care. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.

Indexed as

Maternal-Child Health ServicesMentoringDelivery, ObstetricFemaleHumansIndiaInfant, NewbornMentorsPregnancyQuality Improvement

Identifiers

PMID33425334
PMCPMC7759018
OpenAlexW3114349687

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.