Application of a Novel PM Model to Assess the Risk of

Zofia Maria Kiersnowska, Ewelina Lemiech-Mirowska, Aleksandra Sierocka, Michał Zawadzki, Michał Michałkiewicz, Michał Marczak

Abstract read

PubMed Full text at PMC Publisher

In one paragraph

Article in International journal of environmental research and public health, 2021. 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.

Detection and Analysis ofInternational journal of environmental research and public health · 2022
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

6 authors.

Zofia Maria KiersnowskaDepartment of Management and Logistics in Healthcare, Medical University of Lodz, 90-419 Lodz, Poland.ORCID 0000-0001-8751-0748

Ewelina Lemiech-MirowskaDepartment of Management and Logistics in Healthcare, Medical University of Lodz, 90-419 Lodz, Poland.

Aleksandra SierockaDepartment of Management and Logistics in Healthcare, Medical University of Lodz, 90-419 Lodz, Poland.

Michał ZawadzkiWarsaw School of Information Technology (WIT) under the Auspices of the Polish Academy of Sciences, 01-447 Warsaw, Poland.

Michał MichałkiewiczFaculty of Environmental Engineering and Energy, Institute of Environmental Engineering and Building Installations, Poznan University of Technology, 60-965 Poznan, Poland.ORCID 0000-0002-2945-6971

Michał MarczakDepartment of Management and Logistics in Healthcare, Medical University of Lodz, 90-419 Lodz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections with multi-drug resistant microorganisms associated with the provision of health services have become an acute problem worldwide. These infections cause increased morbidity as well as mortality and are a financial burden for the healthcare system. Effective risk management can reduce the spread of infections and thus minimize their number in hospitalized patients. We have developed a new approach to the analysis of hazards and of exposure to the risk of adverse events by linking the patient's health record system to the entire infrastructure of the hospital unit. In this study, using the developed model, we focused on infections caused by the

Indexed as

Clostridioides difficileClostridium InfectionsCross InfectionHealth FacilitiesHealth ServicesHumansCDIClostridioides difficileinfection risk managementProposed Model (PM model)

Identifiers

PMID35010698

DOI10.3390/ijerph19010441

PMCPMC8744772

What OpenQuestion holds

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LicenceCC BY

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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.