Evidence map›Paper›PMID 34344752›Full record

ArticleBMJ open quality2021

Increasing adherence to plotting e-partograph: a quality improvement project in a rural maternity hospital in India.

Shuchi Jain, Pramod Kumar, Manish Jain, Megha Bathla, Shiv Joshi, Sushil Srivastava, Mahtab Singh, Ajit Sudke, Vikram Datta, Poonam Shivkumar

Abstract read
In one paragraph

Article in BMJ open quality, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Shuchi JainObstetrics & Gynecology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India shuchijain@mgims.ac.in.ORCID 0000-0002-9614-3430
Pramod KumarObstetrics & Gynecology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India.
Manish JainPediatrics, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India.
Megha BathlaObstetrics & Gynecology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India.ORCID 0000-0002-9553-1802
Shiv JoshiCommunity Medicine, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India.
Sushil SrivastavaPediatrics, University College of Medical Sciences, New Delhi, Delhi, India.
Mahtab SinghFreelance QI advisor and public heath profession, NQOCN, New Delhi, Delhi, India.
Ajit SudkeProject Samagra, Population Services International, New Delhi, Delhi, India.ORCID 0000-0001-7068-8478
Vikram DattaNeonatology, Lady Hardinge Medical College, New Delhi, Delhi, India.ORCID 0000-0002-1047-6884
Poonam ShivkumarObstetrics & Gynecology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal prolonged labour and its effects are important contributors to maternal and perinatal mortality and morbidity worldwide. E-partograph is a modern tool for real-time computerised recording of labour data which improves maternal and neonatal outcome. The aim was to improve the rates of e-partograph plotting in all eligible women in the labour room from existing 30% to achieve 90% in 6 months through a quality improvement (QI) process.A team of nurses, obstetricians, postgraduates and a data entry operator did a root cause analysis to identify the possible reasons for the drop in e-partograph plotting to 30%. The team used process flow mapping and fish bone analysis. Various change ideas were tested through sequential Plan-Do-Study-Act (PDSA) cycles to address the issues identified.The interventions included training labour room staff, identification of eligible women and providing an additional computer and internet facility for plotting and assigning responsibility of plotting e-partographs. We implemented these interventions in five PDSA cycles and observed outcomes by using control charts. A set of process, output and outcome indicators were used to track if the changes made were leading to improvement.The rate of e-partograph plotting increased from 30% to 93% over the study period of 6 months from August 2018 to January 2019. The result has been sustained since the last PDSA cycle. The maternal outcome included a decrease in obstructed and prolonged labour with its associated complications from 6.2% to 2.4%. The neonatal outcomes included a decrease in admissions in the neonatal intensive care unit for birth asphyxia from 8% to 3.4%. It can thus be concluded that a QI approach can help in improving adherence to e-partography plotting resulting in improved maternal health services in a rural maternity hospital in India.

Indexed as

Labor, ObstetricMaternal Health ServicesFemaleHospitals, MaternityHumansInfant, NewbornPregnancyQuality ImprovementRural Populationmaternal health servicesquality improvementroot cause analysis

Identifiers

PMID34344752
PMCPMC8336132

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.