Evidence map›Paper›PMID 36960127›Full record

ArticleHealth services insights2023

Journey Through the Fractalization of Multilevel Governance: Levers for Adapt Healthcare Organizations Toward Migrant Populations in Canada.

Lara Maillet, Paul A Lamarche, Marc Lemire, Bernard Roy

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Article in Health services insights, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Lara MailletHealth Administration, ÉNAP, Montréal, QC, Canada.ORCID https://orcid.org/0000-0001-6192-183X
Paul A LamarcheHealth Administration, Université de Montréal, Montréal, QC, Canada.
Marc LemireInstitutional Researcher, Department of Scientific and Technical Development Quality, INSPQ, Montréal, QC, Canada.
Bernard RoyNursing Faculty, Université Laval, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article focuses on multilevel governance applied to health organizations in Québec (Canada). The objective is to understand the action levers that facilitate the adaptation of the services toward migrant populations. This type of population establishes itself as an excellent tracer case to analyze the adaptation process, its fractalization and its involvement with the Environment. The dynamics between the actors and their self-organization takes part in the development of a multilevel governance. Interactions with the Environment-both internal and external-highlight the development of networks that emerge from the field and are then implemented at strategic levels in the organizations. The presence of connectivity actors within the organization and the Environment is established. The context, the bonds of trust between the actors and the credibility of the policymakers are reflected as important factors. However, connectivity actors cannot be successful without the support and contribution of the more "hierarchical" actors. Eight action levers are revealed by the analysis. We categorized them in 3 functions: administrative, enabling, and emerging. The levers of the administrative and emerging functions require that the levers of the enabling function be credible and legitimate and be able to support them for the adaptation to spread throughout the healthcare organization, regardless of the scope or policymaking level. The fractal function facilitates this process, by combining connectivity actors with the implementation of connectivity structures.

Indexed as

adaptationCanadacase studyfractal organizationGovernancehealth services

Identifiers

PMID36960127
PMCPMC10028622

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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.