Evidence map›Paper›PMID 35914831›Full record

ArticleBMJ global health2022

National learning systems to sustain and scale up delivery of quality healthcare: a conceptual framework.

Samantha R Lattof, Blerta Maliqi, Nigel Livesley, Nuhu Yaqub, Zainab Naimy, Moise Muzigaba, Minara Chowdhury, Peter Waiswa, Wilson M Were

Abstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

9 authors.

Samantha R LattofDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneve, Switzerland.ORCID 0000-0003-0934-1488
Blerta MaliqiDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneve, Switzerland maliqib@who.int.
Nigel LivesleyUniversity Research Co., LLC, New Delhi, India.
Nuhu YaqubWorld Health Organization Regional Office for Africa, Brazzaville, Congo.
Zainab NaimyDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneve, Switzerland.
Moise MuzigabaDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneve, Switzerland.
Minara ChowdhuryInstitute for Healthcare Improvement, Boston, Massachusetts, USA.
Peter WaiswaSchool of Public Health, Makerere University, Kampala, Uganda.
Wilson M WereDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneve, Switzerland.ORCID 0000-0003-0497-9626

Funding

World Health Organization 001
6 · The paper itself

Abstract

All around the world, health systems fail to provide good quality of care (QoC). By developing learning systems, health systems are able to better identify good practices and to explain how to sustain and scale these good practices. To facilitate the operationalisation of national learning systems, the Network for Improving Quality of Care for Maternal Newborn and Child Health (the Network) developed a conceptual framework for national learning systems to support QoC at scale. The Network facilitated an iterative process to reach consensus on a conceptual framework for national learning systems to sustain and scale up delivery of quality healthcare. Following a landscape analysis, the Network Secretariat and WHO convened two consultative meetings with country partners, technical experts and stakeholders. Based on these inputs, we developed a conceptual framework for national learning systems to support QoC at scale. National learning systems use a variety of approaches to identify practices that have improved QoC at the patient and provider levels. They also facilitate scale up and sustain strategies used successfully to support quality improvement. Despite growing consensus on the importance of learning for QoC, no one has yet detailed how this learning should be operationalised nationally. Our conceptual framework is the first to facilitate the operationalisation of national learning systems so that health systems can begin to develop, adapt and implement mechanisms to learn about what works or fails and to scale up and sustain this learning for QoC.

Indexed as

Quality ImprovementQuality of Health CareChildDelivery of Health CareHumansInfant, Newbornhealth education and promotionhealth policyhealth services researchhealth systemspublic health

Identifiers

PMID35914831
PMCPMC9344983

What OpenQuestion 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 OpenQuestion graph.