Evidence map›Paper›PMID 36562433›Full record

ArticleGlobal health, science and practice2022

Does Quality Certification Work? An Assessment of Manyata, a Childbirth Quality Program in India's Private Sector.

Megan Marx Delaney, Gulnoza Usmanova, Tapas Sadasivan Nair, Vanessa L Neergheen, Kate Miller, Eliza Fishman, Nitin Bajpai, Parvez Memon, Lauren Bobanski, Dinesh Singh and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Global health, science and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.6field-weighted citation impact, top 5% 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.

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

6 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Megan Marx DelaneyAriadne Labs, a joint center of the Harvard T.H. Chan School of Public Health and Brigham and Women's Hospital, Boston, MA, USA. mmarxdelaney@ariadnelabs.org.
Gulnoza UsmanovaJhpiego India Country Office, New Delhi, India.
Tapas Sadasivan NairJhpiego India Country Office, New Delhi, India.
Vanessa L NeergheenAriadne Labs, a joint center of the Harvard T.H. Chan School of Public Health and Brigham and Women's Hospital, Boston, MA, USA.
Kate MillerAriadne Labs, a joint center of the Harvard T.H. Chan School of Public Health and Brigham and Women's Hospital, Boston, MA, USA.
Eliza FishmanAriadne Labs, a joint center of the Harvard T.H. Chan School of Public Health and Brigham and Women's Hospital, Boston, MA, USA.
Nitin BajpaiJhpiego India Country Office, New Delhi, India.
Parvez MemonJhpiego India Country Office, New Delhi, India.
Lauren BobanskiAriadne Labs, a joint center of the Harvard T.H. Chan School of Public Health and Brigham and Women's Hospital, Boston, MA, USA.
Dinesh SinghJhpiego India Country Office, New Delhi, India.
Vineet Kumar SrivastavaJhpiego India Country Office, New Delhi, India.
Hema DivakarManyata Steering Committee, Federation of Obstetric and Gynaecological Societies of India, Mumbai, India.
Hrishikesh PaiManyata Steering Committee, Federation of Obstetric and Gynaecological Societies of India, Mumbai, India.
Katherine E A SemrauAriadne Labs, a joint center of the Harvard T.H. Chan School of Public Health and Brigham and Women's Hospital, Boston, MA, USA.
Suranjeen Prasad PallipamulaJhpiego India Country Office, New Delhi, India.
Brigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn India, more than 60% of hospital beds are in private facilities, yet several studies have observed suboptimal quality of care in private facilities. We aimed to understand the role of Manyata, a quality improvement initiative in private facilities focused on mentorship and clinical standards, to improve the knowledge and skills of health care providers, their adherence to key childbirth-related clinical practices, and health outcomes for women and newborns.

methodsWe conducted a secondary analysis of Manyata program data collected from 466 private facilities across 3 states (Jharkhand, Maharashtra, and Uttar Pradesh) in India from October 2016 to February 2019. We calculated means and 95% confidence intervals for knowledge and skills assessment, adherence to facility standards was analyzed by calculating the proportion of facilities passing a given quality standard at baseline and endline, and changes in pregnancy outcomes were assessed with autoregression modeling.

resultsFrom assessments conducted before and after training among providers in Manyata, we observed a significant increase in average knowledge score (6.3 vs. 13.2 of 20) and skill score (8.0 vs. 34.3 of 40). Overall, a significant increase occurred in adherence to clinical standards between baseline and endline assessments (29% vs. 93%). The standards with the greatest improvements were identification and management of eclampsia/preeclampsia, postpartum hemorrhage, and neonatal resuscitation. There were no significant changes over time in absolute rate of reported complications; however, referral rates from private facilities for preeclampsia and newborn sepsis identification and management declined.

conclusionOur analysis indicates private facilities' adherence to quality standards and nurses' childbirth knowledge and practical skills increased during Manyata. Additional efforts are needed to ensure high-quality care during cesarean deliveries at private facilities. Future studies with rigorous design are required to evaluate the impact of this quality improvement initiative in improving pregnancy outcomes.

Indexed as

Pre-EclampsiaPrivate SectorFemaleHumansIndiaInfant, NewbornParturitionPregnancyQuality of Health CareResuscitation

Identifiers

PMID36562433
PMCPMC9771457
OpenAlexW4312184882

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.