Central line infections in United States hospitals: An exploration of variation in central line device days and infection rates across hospitals that serve highly complex patient populations.

Jennifer L Hefner, Naleef Fareed, Daniel M Walker, Timothy R Huerta, Ann Scheck McAlearney

Abstract read

In one paragraph

Article in American journal of infection control, 2019. 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

5 authors.

Jennifer L HefnerDivision of Health Services Management and Policy, The College of Public Health, The Ohio State University, Columbus, OH; Department of Family Medicine, College of Medicine, The Ohio State University, Columbus, OH; Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH. Electronic address: Jennifer.Hefner@osumc.edu.

Naleef FareedCenter for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH.

Daniel M WalkerDepartment of Family Medicine, College of Medicine, The Ohio State University, Columbus, OH; Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH.

Timothy R HuertaDivision of Health Services Management and Policy, The College of Public Health, The Ohio State University, Columbus, OH; Department of Family Medicine, College of Medicine, The Ohio State University, Columbus, OH; Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH.

Ann Scheck McAlearneyDivision of Health Services Management and Policy, The College of Public Health, The Ohio State University, Columbus, OH; Department of Family Medicine, College of Medicine, The Ohio State University, Columbus, OH; Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH; Department of Biomedical Informatics, 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

Our descriptive analyses show a wide distribution in rates of central line device days and central line-associated bloodstream infections for a given standardized infection ratio-the measure linked to federal payment penalties-among 215 US hospitals serving highly complex patient populations. We established that the standardized infection ratio masks hospital-level variation in device use and associated patient safety.

Indexed as

Catheterization, Central VenousCentral Venous CathetersCatheter-Related InfectionsCross InfectionHospitalsHumansIntensive Care UnitsUnited StatesCentral line–associated bloodstream infectionDevice useQuality improvement

Identifiers

PMID30638670

DOI10.1016/j.ajic.2018.12.001

PMCPMC10288527

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.