Evidence map›Paper›PMID 37113198›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Controlling the chaos: Information management in home-infusion central-line-associated bloodstream infection (CLABSI) surveillance.

Susan M Hannum, Opeyemi Oladapo-Shittu, Alejandra B Salinas, Kimberly Weems, Jill Marsteller, Ayse P Gurses, Ilya Shpitser, Eili Klein, Sara E Cosgrove, Sara C Keller

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. CLABSIs aren't just for inpatients: the need to identify CLABSI burden among outpatients.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  4. 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

10 authors at 2 institutions in 1 country.

Susan M HannumDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID https://orcid.org/0000-0003-1556-8021
Opeyemi Oladapo-ShittuDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0002-9845-8647
Alejandra B SalinasDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0003-3956-4658
Kimberly WeemsDepartment of Hospital Epidemiology and Infection Control, Johns Hopkins Hospital, Baltimore, Maryland.ORCID https://orcid.org/0000-0002-2108-9257
Jill MarstellerDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID https://orcid.org/0000-0002-8458-954X
Ayse P GursesDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID https://orcid.org/0000-0001-7422-6852
Ilya ShpitserDepartment of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland.ORCID https://orcid.org/0000-0003-2571-7326
Eili KleinDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0002-1304-5289
Sara E CosgroveDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0001-9458-4331
Sara C KellerDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0001-9660-4367
Johns Hopkins University · USJohns Hopkins Hospital · US

Funding

AHRQ HHS R01 HS027819
6 · The paper itself

Abstract

Objectives: Access to patient information may affect how home-infusion surveillance staff identify central-line-associated bloodstream infections (CLABSIs). We characterized information hazards in home-infusion CLABSI surveillance and identified possible strategies to mitigate information hazards. Design: Qualitative study using semistructured interviews. Setting and participants: The study included 21 clinical staff members involved in CLABSI surveillance at 5 large home-infusion agencies covering 13 states and the District of Columbia. Methods: Interviews were conducted by 1 researcher. Transcripts were coded by 2 researchers; consensus was reached by discussion. Results: Data revealed the following barriers: information overload, information underload, information scatter, information conflict, and erroneous information. Respondents identified 5 strategies to mitigate information chaos: (1) engage information technology in developing reports; (2) develop streamlined processes for acquiring and sharing data among staff; (3) enable staff access to hospital electronic health records; (4) use a single, validated, home-infusion CLABSI surveillance definition; and (5) develop relationships between home-infusion surveillance staff and inpatient healthcare workers. Conclusions: Information chaos occurs in home-infusion CLABSI surveillance and may affect the development of accurate CLABSI rates in home-infusion therapy. Implementing strategies to minimize information chaos will enhance intra- and interteam collaborations in addition to improving patient-related outcomes.

Identifiers

PMID37113198
PMCPMC10127240
OpenAlexW4364860818

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.