Evidence map›Paper›PMID 36109061›Full record

ArticleGlobal health, science and practice2022

Applying the Consolidated Framework for Implementation Research to Identify Implementation Determinants for the Integrated District Evidence-to-Action Program, Mozambique.

Celso Inguane, Caroline Soi, Sarah Gimbel, Nélia Manaca, Isaías Ramiro, Florência Floriano, Georgina de Castro, Orvalho Augusto, Stélio Tembe, James Pfeiffer and 2 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.7field-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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Celso InguaneDepartment of Global Health, University of Washington, Seattle, WA, USA. celsoi@uw.edu.
Caroline SoiDepartment of Global Health, University of Washington, Seattle, WA, USA.
Sarah GimbelDepartment of Family and Child Nursing, University of Washington, Seattle, WA, USA.
Nélia ManacaHealth Alliance International, Beira and Chimoio, Mozambique.
Isaías RamiroComité para a Saúde de Moçambique, Maputo City, Mozambique.
Florência FlorianoHealth Alliance International, Beira and Chimoio, Mozambique.
Georgina de CastroHealth Alliance International, Beira and Chimoio, Mozambique.
Orvalho AugustoDepartment of Global Health, University of Washington, Seattle, WA, USA.
Stélio TembeDepartment of Global Health, University of Washington, Seattle, WA, USA.
James PfeifferDepartment of Global Health, University of Washington, Seattle, WA, USA.
Quinhas FernandesDepartment of Global Health, University of Washington, Seattle, WA, USA.
Kenneth SherrDepartment of Global Health, University of Washington, Seattle, WA, USA.
University of Washington · USHealth Alliance International · USEduardo Mondlane University · MZMinistry of Health · MZ

Funding

Spreading the Integrated District Evidence-to-Action Program for Neonatal Mortality Reduction (IDEAs) in MozambiqueR01HD092449 · NICHD · UNIVERSITY OF WASHINGTON · PI FERNANDES, QUINHAS, SHERR, KENNETH · 2018 to 2022
$2.8M
NICHD NIH HHS R01 HD092449
6 · The paper itself

Abstract

introductionThe Integrated District Evidence-to-Action program is an audit and feedback intervention introduced in 2017 in Manica and Sofala provinces, Mozambique, to reduce mortality in children younger than 5 years. We describe barriers and facilitators to early-stage effectiveness of that intervention.

methodWe embedded the Consolidated Framework for Implementation Research (CFIR) into an extended case study design to inform sampling, data collection, analysis, and interpretation. We collected data in 4 districts in Manica and Sofala Provinces in November 2018. Data collection included document review, 22 in-depth individual interviews, and 2 focus group discussions (FGDs) with 19 provincial, district, and facility managers and nurses. Most participants (70.2%) were nurses and facility managers and the majority were women (87.8%). We audio-recorded all but 2 interviews and FGDs and conducted a consensus-based iterative analysis.

resultsFacilitators of effective intervention implementation included: implementation of the core intervention components of audit and feedback meetings, supportive supervision and mentorship, and small grants as originally planned; positive pressure from district managers and study nurses on health facility staff to strive for excellence; and easy access to knowledge and information about the intervention. Implementation barriers were the intervention's lack of compatibility in not addressing the scarcity of human and financial resources and inadequate infrastructures for maternal and child health services at district and facility levels and; the intervention's lack of adaptability in having little flexibility in the design and decision making about the use of intervention funds and data collection tools. DISCUSSION: Our comprehensive and systematic use of the CFIR within an extended case study design generated granular evidence on CFIR's contribution to implementation science efforts to describe determinants of early-stage intervention implementation. It also provided baseline findings to assess subsequent implementation phases, considering similarities and differences in barriers and facilitators across study districts and facilities. Sharing preliminary findings with stakeholders promoted timely decision making about intervention implementation.

Indexed as

Implementation ScienceResearch DesignChildFemaleFocus GroupsHumansMaleMozambique

Identifiers

PMID36109061
PMCPMC9476477
OpenAlexW4295942798

What OpenQuestion holds

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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.