Evidence map›Paper›PMID 35271635›Full record

ArticlePloS one2022

SPiNCAR: A systematic model to evaluate and guide actions for tackling AMR.

Giulia Bravo, Giovanni Cattani, Francesca Malacarne, Pierfrancesco Tricarico, Luca Arnoldo, Laura Brunelli, Carla Zotti, Maria Luisa Moro, Giuseppe Diegoli, Patrizio Pezzotti and 13 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

23 authors.

Giulia BravoDepartment of Medicine, University of Udine, Udine, Italy.ORCID 0000-0002-3149-2883
Giovanni CattaniFriuli Centrale Healthcare University Trust, Udine, Italy.
Francesca MalacarneGiuliano Isontina Healthcare University Trust, Trieste, Italy.
Pierfrancesco TricaricoRisk Management Unit, ULSS7 Pedemontana, Bassano del Grappa, Italy.
Luca ArnoldoFriuli Centrale Healthcare University Trust, Udine, Italy.
Laura BrunelliFriuli Centrale Healthcare University Trust, Udine, Italy.
Carla ZottiDepartment of Public Health and Pediatrics, University of Turin, Turin, Italy.
Maria Luisa MoroRegional Health and Social Agency of Emilia-Romagna, Bologna, Italy.
Giuseppe DiegoliDirezione Generale Cura della Persona, Salute e Welfare Regione Emilia-Romagna, Bologna, Italy.
Patrizio PezzottiItalian National Institute of Health, Rome, Italy.
Antonino BellaItalian National Institute of Health, Rome, Italy.
Annalisa PantostiItalian National Institute of Health, Rome, Italy.
Ornella PunzoItalian National Institute of Health, Rome, Italy.ORCID 0000-0003-3077-8174
Adriano GrossiItalian National Institute of Health, Rome, Italy.ORCID 0000-0003-4418-3331
Martina BarchittaDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Catania, Italy.ORCID 0000-0002-0905-5003
Antonella AgodiDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Catania, Italy.
Greta CastelliniUnit of Clinical Epidemiology, IRCCS Orthopedic Institute Galeazzi, Milan, Italy.
Matteo MarrazzoASST Fatebenefratelli Sacco, Milan, Italy.
Francesco AuxiliaDepartment of Biomedical Sciences for Health, University of Milan-ASST Fatebenefratelli- Sacco, Milan, Italy.
Gianluca CavallaroMit Studio, Rome, Italy.
Giovanni Loris AlboraliDirezione Generale Cura della Persona, Salute e Welfare Regione Emilia-Romagna, Bologna, Italy.
Elena MazzoliniDepartment of Epidemiology, Istituto Zooprofilattico Sperimentale delle Venezie, Padua, Italy.
Silvio BrusaferroDepartment of Medicine, University of Udine, Udine, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundItaly records very alarming levels antimicrobial resistance (AMR), so a National Action Plan on Antimicrobial resistance (PNCAR) was developed, adopting the AMR European Union's recommendations based on the results of the ECDC site visit of January 2017. For achieving PNCAR objectives, it is necessary to support and harmonize the implementation of recommendations in all the different healthcare levels (regional authorities and local trusts), so the SPiNCAR project was launched to create a tool for reaching this goal.

methodsWe developed a framework based on a scientific literature and national and international guidelines. Firstly, we identified the major intervention areas for tackling AMR, then, for each area, we built a set of standards, both for regional authorities than for local trusts. Every standard is composed by a set of essential and additional criteria, which refer to a minimum or supplemental performance level respectively. The contents were firstly discussed by the project's team during face-to-face kick-off meetings, then confirmed with Delphi methodology and finally validated through a pilot study.

resultsThe final framework consists of seven different areas that reflect the PNCAR structure: Governance, Surveillance and Monitoring, Appropriate Use of antimicrobials, Healthcare-associated Infections (HAIs) control and prevention, Education and Training, Alliance among Stakeholders, Implementation. The total number of standards for the regional framework was 34 with 264 criteria and for the local version 36 criteria with 279 standards.

conclusionThe ongoing use of this tool, developed on international evidences and recommendations that were tailored on the Italian specific context, allows monitoring the improvement achieved over time and plan the next steps.

Indexed as

Anti-Infective AgentsCross InfectionDelivery of Health CareHumansItalyPilot ProjectsAnti-Infective Agents

Identifiers

PMID35271635
PMCPMC8912127

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.