Evidence map›Paper›PMID 35948123›Full record

ArticleAmerican journal of infection control2023

Concerns and frustrations about the public reporting of device-related healthcare-associated infections: Perspectives of hospital leaders and staff.

Sarah R MacEwan, Alice A Gaughan, Eliza W Beal, Courtney Hebert, John Oliver DeLancey, Ann Scheck McAlearney

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of infection control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sarah R MacEwanDivision of General Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH; The Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), College of Medicine, The Ohio State University, Columbus, OH. Electronic address: Sarah.MacEwan@osumc.edu.
Alice A GaughanThe Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), College of Medicine, The Ohio State University, Columbus, OH.
Eliza W BealThe Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), College of Medicine, The Ohio State University, Columbus, OH; Department of Surgery, College of Medicine, The Ohio State University, Columbus, OH.
Courtney HebertThe Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), College of Medicine, The Ohio State University, Columbus, OH; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH; Division of Infectious Diseases, College of Medicine, The Ohio State University, Columbus, OH.
John Oliver DeLanceyThe Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), College of Medicine, The Ohio State University, Columbus, OH; Department of Urology, College of Medicine, The Ohio State University, Columbus, OH.
Ann Scheck McAlearneyThe Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), College of Medicine, The Ohio State University, Columbus, OH; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH; Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, OH.

Funding

Searching for Management Approaches to Reduce HAI Transmission (SMART)R01HS024958 · AHRQ · OHIO STATE UNIVERSITY · PI MCALEARNEY, ANN SCHECK · 2017 to 2021
$1.9M
AHRQ HHS R01 HS024958
6 · The paper itself

Abstract

backgroundPublic reporting of healthcare-associated infections (HAIs) aims to incentivize improvement in infection prevention. The motivation and mechanisms of public reporting have raised concerns about the reliability of this data, but little is known about the specific concerns of hospital leaders and staff. This study sought to better understand perspectives of individuals in these roles regarding the identification and public reporting of HAIs.

methodsWe conducted interviews with 471 participants including hospitals leaders (eg, administrative and clinical leaders) and hospital staff (eg, physicians and nurses) between 2017 and 2019 across 18 US hospitals. A semistructured interview guide was used to explore perspectives about the use of HAI data within the context of management strategies used to support infection prevention.

resultsInterviewees described concerns about public reporting of HAI data, including a lack of trust in the data and inadvertent consequences of its public reporting, as well as specific frustrations related to the identification and accountability for publicly-reported HAIs.

conclusionConcerns and frustrations related to public reporting of HAI data highlight the need for improved guidelines, transparency, and incentives. Efforts to build trust in publicly-reported HAI data can help ensure this information is used effectively to improve infection prevention practices.

Indexed as

Cross InfectionInfection ControlDelivery of Health CareFrustrationHospitalsHumansReproducibility of ResultsData collectionInfection controlInfection surveillanceMandatory reporting

Identifiers

PMID35948123
PMCPMC10303069

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.