Evidence map›Paper›PMID 35831220›Full record

ArticleRevue d'epidemiologie et de sante publique2023

[Decision-making process and evaluation of public health interventions].

L-R Salmi, L Noël, F Saillour-Glénisson

Abstract readEnglish Abstract
In one paragraph

Article in Revue d'epidemiologie et de sante publique, 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

3 authors.

L-R SalmiUniversité de Bordeaux, ISPED, F-33000 Bordeaux, France; Inserm, ISPED, Centre Inserm U1219-Bordeaux Population Health, F-33000 Bordeaux, France. Electronic address: louis-rachid.salmi@u-bordeaux.fr.
L NoëlConsultant, F-74940 Annecy-Le-Vieux, France.
F Saillour-GlénissonUniversité de Bordeaux, ISPED, F-33000 Bordeaux, France; Inserm, ISPED, Centre Inserm U1219-Bordeaux Population Health, F-33000 Bordeaux, France; CHU de Bordeaux, Pôle de Santé Publique, Service d'information médicale, F-33000 Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe have designed a methodological framework for experts involved in the support of decision-making in public health interventions.

methodsThe methodological framework consists of four elements: 1) A series of nine questions, formulated in non-technical terms, relevant to assessment of the usefulness of an intervention, at a given time in a given context; 2) Translation of these questions into concepts related to the evaluation of interventions (definition of the intervention, its target and objective, potential and actual effectiveness, safety, efficiency, and equity); 3) Logical organization of the information needed to address and answer the questions; and 4) An algorithm to translate the available information into recommendations on the real usefulness of the intervention in the context in which the questions were raised.

resultsEach step is illustrated by questions raised about road safety interventions, screening, blood transfusion and measures proposed during the COVID-19 pandemic.

conclusionDecision-making can be facilitated if experts provide decision-makers with a formal summary of the strengths and weaknesses of existing knowledge, based on an analysis of all facets of an intervention's potential usefulness.

Indexed as

COVID-19Public HealthHumansPandemicsDecision-making support techniquesEvaluationÉvaluationméthodesMethodsPublic healthsanté publiquetechniques d'aide à la décision

Identifiers

PMID35831220
PMCPMC9271323

What OpenQuestion holds

Textmetadata
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.