Evidence map›Paper›PMID 37733733›Full record

ArticlePLOS global public health2023

Individual interactions in a multi-country implementation-focused quality of care network for maternal, newborn and child health: A social network analysis.

Fidele Kanyimbu Mukinda, Nehla Djellouli, Kohenour Akter, Mithun Sarker, Asebe Amenu Tufa, Kondwani Mwandira, Gloria Seruwagi, Agnes Kyamulabi, Kasonde Mwaba, Tanya Marchant and 7 more

Abstract read
In one paragraph

Article in PLOS global public health, 2023. 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
–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

6 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

17 authors.

Fidele Kanyimbu MukindaSchool of Public Health, University of the Western Cape, Cape Town, South Africa.
Nehla DjellouliInstitute for Global Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4200-2314
Kohenour AkterPerinatal Care Project, Diabetic Association of Bangladesh, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-0409-1099
Mithun SarkerPerinatal Care Project, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Asebe Amenu TufaEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Kondwani MwandiraParent and Child Health Initiative PACHI, Lilongwe, Malawi.
Gloria SeruwagiSchool of Public Health, Makerere University, Kampala, Uganda.
Agnes KyamulabiSchool of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5865-3798
Kasonde MwabaInstitute for Global Health, University College London, London, United Kingdom.
Tanya MarchantDepartment of Disease Control, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Yusra R ShawarDepartment of International Health, School of Public Health, John Hopkins University, Baltimore, MD, United States of America.
Mike EnglishCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom.
Hilda NamakulaSchool of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0002-3438-145X
Geremew GonfaEthiopian Public Health Institute, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-5937-120X
QCN Evaluation Group
Tim ColbournInstitute for Global Health, University College London, London, United Kingdom.
Mary V KinneySchool of Public Health, University of the Western Cape, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-2903-0161

Funding

Medical Research Council MR/S013466/1
6 · The paper itself

Abstract

The Network for Improving Quality of Care for Maternal, Newborn and Child Health (QCN) was established to build a cross-country platform for joint-learning around quality improvement implementation approaches to reduce mortality. This paper describes and explores the structure of the QCN in four countries and at global level. Using Social Network Analysis (SNA), this cross-sectional study maps the QCN networks at global level and in four countries (Bangladesh, Ethiopia, Malawi and Uganda) and assesses the interactions among actors involved. A pre-tested closed-ended structured questionnaire was completed by 303 key actors in early 2022 following purposeful and snowballing sampling. Data were entered into an online survey tool, and exported into Microsoft Excel for data management and analysis. This study received ethical approval as part of a broader evaluation. The SNA identified 566 actors across the four countries and at global level. Bangladesh, Malawi and Uganda had multiple-hub networks signifying multiple clusters of actors reflecting facility or district networks, whereas the network in Ethiopia and at global level had more centralized networks. There were some common features across the country networks, such as low overall density of the network, engagement of actors at all levels of the system, membership of related committees identified as the primary role of actors, and interactions spanning all types (learning, action and information sharing). The most connected actors were facility level actors in all countries except Ethiopia, which had mostly national level actors. The results reveal the uniqueness and complexity of each network assessed in the evaluation. They also affirm the broader qualitative evaluation assessing the nature of these networks, including composition and leadership. Gaps in communication between members of the network and limited interactions of actors between countries and with global level actors signal opportunities to strengthen QCN.

Identifiers

PMID37733733
PMCPMC10513266

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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.