Evidence map›Paper›PMID 36178895›Full record

ArticlePloS one2022

Institutional factors associated with the incidence rates of central line-associated bloodstream infection in California community hospitals.

Ella Calixta Nelson, Chia-Hui Wang, Garry Huang, Nai-Wen Kuo

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. National partnerships address critical needs in infection prevention and control.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    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

4 authors.

Ella Calixta NelsonSchool of Health Care Administration, College of Management, Taipei Medical University, Taipei City, Taiwan.ORCID 0000-0002-6139-4803
Chia-Hui WangDepartment of Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan.
Garry HuangSchool of Health Care Administration, College of Management, Taipei Medical University, Taipei City, Taiwan.ORCID 0000-0002-1328-5055
Nai-Wen KuoSchool of Health Care Administration, College of Management, Taipei Medical University, Taipei City, Taiwan.ORCID 0000-0001-9199-2882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central line-associated bloodstream infections are frequent, deadly, costly, and preventable. The study aimed to explore how some hospital-related characteristics were associated with incidence rates of central line-associated bloodstream infections reported by community hospitals in California from January to December 2019. This retrospective, cross-sectional study used combined data from records submitted to the California Department of Public Health, California Open Data Portal, the California Health and Human Services Open Data Portal, and the American Hospital Directory by community hospitals in California with central line-associated bloodstream infections in 2019. Results showed that CLABSIs are significantly associated with bed capacity, health care system affiliation, ownership, and hospital accreditation status (p < 0.0001). CLABSI remains a relevant threat to patient safety and quality of care, even more so in the community hospital setting. Understanding if a relationship exists between institutional factors and CLABSI rates might better prepare leaders in healthcare organizations to reduce HAIs.

Indexed as

BacteremiaCatheterization, Central VenousCatheter-Related InfectionsCross InfectionSepsisCross-Sectional StudiesHospitals, CommunityHumansIncidenceRetrospective StudiesUnited States

Identifiers

PMID36178895
PMCPMC9524680

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.