Evidence map›Paper›PMID 33403104›Full record

ArticleJournal of global health2020

Use of a participatory quality assessment and improvement tool for maternal and neonatal hospital care. Part 1: Review of implementation features and observed quality gaps in 25 countries.

Giorgio Tamburlini, Alberta Bacci, Marina Daniele, Stelian Hodorogea, Dalia Jeckaite, Gelmius Siupsinskas, Emanuelle Pessa Valente, Paola Stillo, Francesca Vezzini, Maurice Bucagu and 1 more

Abstract 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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Giorgio TamburliniCentro per la Salute del Bambino, Trieste, Italy.
Alberta BacciInternational perinatal care consultant, Trieste, Italy.
Marina DanieleDepartment of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, UK.
Stelian HodorogeaDepartment of Obstetrics and Gynecology, State University of Medicine and Pharmacy, Chisinau, Moldova.
Dalia JeckaiteInternational midwifery and perinatal care consultant, Panevezys, Lithuania.
Gelmius SiupsinskasInternational perinatal consultant, Geneva, Switzerland.
Emanuelle Pessa ValenteInstitute for Maternal and Child Health IRCCS Burlo Garofolo, WHO Collaborating Centre for Maternal and Child Health, Trieste, Italy and Instituto de Medicina Integral Fernando Figueira, Recife, Brazil.
Paola StilloPaediatric Emergency Department and Trauma center Meyer Hospital, Florence, Italy.
Francesca VezziniInstituto de Medicina Integral Fernando Figueira, Recife, Brazil.
Maurice BucaguWHO Department of Maternal, Newborn, Child, Adolescent Health and Ageing, Geneva, Switzerland.
Ornella LincettoWHO Department of Maternal, Newborn, Child, Adolescent Health and Ageing, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundA substantial proportion of maternal and neonatal mortality and morbidity is attributable to gaps in quality of care. A systematic, standard-based tool for quality assessment and improvement for maternal and neonatal hospital care (QA/QI MN tool) was developed in 2009 by the World Health Organization (WHO). The tool guides the assessment process along the whole continuum from admission to discharge, collects the views of the recipients of care and engages hospital mangers and staff in identifying gaps and drafting an action plan.

methodsPublications describing use of the WHO QA/QI MN tool from 2009 to 2017 and reports retrievable from WHO or other development partners' websites were searched and considered for inclusion in the review. Only assessments of hospitals were considered. Quality gaps were classified as regarding case management in maternal care, case management in neonatal care, hospital infrastructure, hospital policies and according to severity and frequency. Quotations from women regarding key issues in effective communication, respect and dignity, emotional support and costs incurred were selected.

resultsIn the period 2009-2017, use of the WHO QA/QI MN tool was documented in 25 countries, belonging to Central and Eastern Europe (8), Central Asia (4), Sub-Saharan Africa (11), Latin America (1) and Middle East (1). Overall, 133 hospitals were assessed. The tool allowed to identify in great detail serious quality gaps including: insufficient or incomplete adherence to recommended evidence-based procedures for normal childbirth and maternal and neonatal complications; excess of inappropriate or unnecessary interventions; insufficient infection control; failure to provide respectful care, adequate communication and emotional support to mothers and babies; poor use of information generated locally to analyse processes and outcomes. These gaps were observed in all countries. Significant differences were observed among facilities belonging to the same health systems, ie, with very similar staffing, infrastructure and equipment.

conclusionsThe experience made, the largest of this kind, provides comprehensive and detailed insight into the existing quality gaps in a wide variety of settings. QI cycles at facility level should be primarily based on assessments made by multidisciplinary teams of professionals to identify the parts of the care pathways which require improvement through a participatory approach involving managers, staff and patients.

Indexed as

HospitalsQuality Assurance, Health CareQuality ImprovementAfrica South of the SaharaAsiaChild Health ServicesEuropeFemaleHumansInfant, NewbornLatin AmericaMaternal Health ServicesMiddle EastPregnancy

Identifiers

PMID33403104
PMCPMC7750018

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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 OpenQuestion graph.