Evidence map›Paper›PMID 35100620›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Clinical Decision Support Systems to Reduce Unnecessary Clostridioides difficile Testing Across Multiple Hospitals.

Clare Rock, Oluchi Abosi, Susan Bleasdale, Erin Colligan, Daniel J Diekema, Prashila Dullabh, Ayse P Gurses, Krysta Heaney-Huls, Jesse T Jacob, Sheetal Kandiah and 11 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Impact of an Intervention Program onOpen forum infectious diseases · 2024
    Article
  9. Article
  10. Article
  11. The Impact of Pandemic-Driven Care Redesign on Hospital Efficiency.Risk management and healthcare policy · 2024
    Review
  12. Review
  13. Review
  14. Infection control and hospital epidemiology · 2023
    Article
  15. Diagnostic stewardship forAntimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  16. Review
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

21 authors.

Clare RockJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Oluchi AbosiUniversity of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Susan BleasdaleUniversity of Illinois College of Medicine at Chicago, Chicago, Illinois, USA.
Erin ColliganNational Opinion Research Center, University of Chicago, Chicago, Illinois, USA.
Daniel J DiekemaCarver College of Medicine, University of Iowa, Iowa City, Iowa, USA.
Prashila DullabhNational Opinion Research Center, University of Chicago, Chicago, Illinois, USA.
Ayse P GursesJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Krysta Heaney-HulsNational Opinion Research Center, University of Chicago, Chicago, Illinois, USA.
Jesse T JacobEmory University School of Medicine, Atlanta, Georgia, USA.
Sheetal KandiahEmory University School of Medicine, Atlanta, Georgia, USA.
Sonam LamaNational Opinion Research Center, University of Chicago, Chicago, Illinois, USA.
Surbhi LeekhaUniversity of Maryland School of Medicine, Baltimore, Maryland, USA.
Jeanmarie MayerUniversity of Utah School of Medicine, Salt Lake City, Utah, USA.
Alfredo J Mena LoraUniversity of Illinois College of Medicine at Chicago, Chicago, Illinois, USA.
Daniel J MorganUniversity of Maryland School of Medicine, Baltimore, Maryland, USA.
Patience OseiJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sara PauJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jorge L SalinasCarver College of Medicine, University of Iowa, Iowa City, Iowa, USA.
Emily SpivakUniversity of Utah School of Medicine, Salt Lake City, Utah, USA.
Eric WenzlerCollege of Pharmacy, University of Illinois Chicago, Chicago, Illinois, USA.
Sara E CosgroveJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

CDC HHS 6 U01CK000554-02-02NCEZID CDC HHS U01 CK000554
6 · The paper itself

Abstract

backgroundInappropriate Clostridioides difficile testing has adverse consequences for patients, hospitals, and public health. Computerized clinical decision support (CCDS) systems in the electronic health record (EHR) may reduce C. difficile test ordering; however, effectiveness of different approaches, ease of use, and best fit into healthcare providers' (HCP) workflow are not well understood.

methodsNine academic and 6 community hospitals in the United States participated in this 2-year cohort study. CCDS (hard stop or soft stop) triggered when a duplicate C. difficile test order was attempted or if laxatives were recently received. The primary outcome was the difference in testing rates pre- and post-CCDS interventions, using incidence rate ratios (IRRs) and mixed-effect Poisson regression models. We performed qualitative evaluation (contextual inquiry, interviews, focus groups) based on a human factors model. We identified themes using a codebook with primary nodes and subnodes.

resultsIn 9 hospitals implementing hard-stop CCDS and 4 hospitals implementing soft-stop CCDS, C. difficile testing incidence rate (IR) reduction was 33% (95% confidence interval [CI]: 30%-36%) and 23% (95% CI: 21%-25%), respectively. Two hospitals implemented a non-EHR-based human intervention with IR reduction of 21% (95% CI: 15%-28%). HCPs reported generally favorable experiences and highlighted time efficiencies such as inclusion of the patient's most recent laxative administration on the CCDS. Organizational factors, including hierarchical cultures and communication between HCPs caring for the same patient, impact CCDS acceptance and integration.

conclusionsCCDS systems reduced unnecessary C. difficile testing and were perceived positively by HCPs when integrated into their workflow and when displaying relevant patient-specific information needed for decision making.

Indexed as

Clostridioides difficileClostridium InfectionsDecision Support Systems, ClinicalClostridioidesCohort StudiesHospitalsHumansLaxativesLaxativesC. difficile testingclinical decision supportClostridiodes difficilediagnostic stewardship

Identifiers

PMID35100620
PMCPMC12590945

What OpenQuestion holds

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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.