Evidence map›Paper›PMID 37684036›Full record

ArticleEvaluation review2024

Building a Logic Model to Foster Engagement and Learning Using the Case of a Province-Wide Multispecies Antimicrobial Use Monitoring System.

Antoine Boudreau LeBlanc, Aude Motulsky, Marie-Pierre Moreault, Man Qing Liang, Ida Ngueng Feze, Luc Des Côteaux

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Evaluation review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Antoine Boudreau LeBlancDépartement de Médecine sociale et préventive (Programmes de bioéthiques), École de santé publique, Université de Montréal, Montréal, QC, Canada.ORCID 0000-0002-4273-0111
Aude MotulskyDépartement de Gestion, d'évaluation et de politique de santé, École de santé publique, Université de Montréal, Montréal, QC, Canada.
Marie-Pierre MoreaultDépartement de Gestion, d'évaluation et de politique de santé, École de santé publique, Université de Montréal, Montréal, QC, Canada.
Man Qing LiangDépartement de Gestion, d'évaluation et de politique de santé, École de santé publique, Université de Montréal, Montréal, QC, Canada.
Ida Ngueng FezeFaculté de Médecine vétérinaire, Université de Montréal, Montréal, QC, Canada.
Luc Des CôteauxFaculté de Médecine vétérinaire, Université de Montréal, Montréal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Successfully designing and implementing a program is complex; it requires a reflexive balance between the available resources and the priorities of various stakeholders, both of which change over time. Logic models are theory-based evaluation approaches used to identify and address key challenges of a program. This article describes the process of building a logic model on advanced theories in complexity studies. The models aim to support a province-wide multispecies monitoring system of antimicrobial use (AMU), designed in collaboration with the animal health sector in Quebec (Canada). Based on a rigorous theoretical foundation, the logic model is built in three steps: (1)

Indexed as

LogicAnimalsAnti-Infective AgentsAntimicrobial StewardshipHumansModels, TheoreticalQuebecAnti-Infective Agentsanimal healthantibiotics monitoring systemcomplex interventioninnovation systemlogic modelprogram success

Identifiers

PMID37684036
PMCPMC11193913

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.