Evidence map›Paper›PMID 39042649›Full record

ArticlePLOS global public health2024

Factors shaping network emergence: A cross-country comparison of quality of care networks in Bangladesh, Ethiopia, Malawi, and Uganda.

Yusra Ribhi Shawar, Nehla Djellouli, Kohenour Akter, Will Payne, Mary Kinney, Kasonde Mwaba, Gloria Seruwagi, Mike English, Tanya Marchant, QCN Evaluation Group and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Facilitators of co-leadership for quality care.BMJ (Clinical research ed.) · 2023
    Article
  7. Article
  8. Article
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

12 authors.

Yusra Ribhi ShawarDepartment of International Health, Bloomberg School of Public Health, John Hopkins University, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0002-9539-0341
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
Will PayneDepartment of International Health, Bloomberg School of Public Health, John Hopkins University, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0009-0005-7633-6496
Mary KinneySchool of Public Health, University of the Western Cape, Cape Town, South Africa.
Kasonde MwabaInstitute for Global Health, University College London, London, United Kingdom.
Gloria SeruwagiSchool of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0002-7280-6164
Mike EnglishCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom.
Tanya MarchantDepartment of Disease Control, London School of Hygiene & Tropical Medicine, London, United Kingdom.
QCN Evaluation Group
Jeremy ShiffmanDepartment of International Health, Bloomberg School of Public Health, John Hopkins University, Baltimore, Maryland, United States of America.
Tim ColbournInstitute for Global Health, University College London, London, United Kingdom.

Funding

Bill & Melinda Gates Foundation INV-007644
6 · The paper itself

Abstract

The Quality-of-Care Network (QCN) was conceptualized by the World Health Organization (WHO) and other global partners to facilitate learning on and improve quality of care for maternal and newborn health within and across low and middle-income countries. However, there was significant variance in the speed and extent to which QCN formed in the involved countries. This paper investigates the factors that shaped QCN's differential emergence in Bangladesh, Ethiopia, Malawi, and Uganda. Drawing on network scholarship, we conducted a replicated case study of the four country cases and triangulated several sources of data, including a document review, observations of national-level and district level meetings, and key informant interviews in each country and at the global level. Thematic coding was performed in NVivo 12. We find that QCN emerged most quickly and robustly in Bangladesh, followed by Ethiopia, then Uganda, and slowest and with least institutionalization in Malawi. Factors connected to the policy environment and network features explained variance in network emergence. With respect to the policy environment, pre-existing resources and initiatives dedicated to maternal and newborn health and quality improvement, strong data and health system capacity, and national commitment to advancing on synergistic goals were crucial drivers to QCN's emergence. With respect to the features of the network itself, the embedding of QCN leadership in powerful agencies with pre-existing coordination structures and trusting relationships with key stakeholders, inclusive network membership, and effective individual national and local leadership were also crucial in explaining QCN's speed and quality of emergence across countries. Studying QCN emergence provides critical insights as to why well-intentioned top-down global health networks may not materialize in some country contexts and have relatively quick uptake in others, and has implications for a network's perceived legitimacy and ultimate effectiveness in producing stated objectives.

Identifiers

PMID39042649
PMCPMC11265678

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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.