Evidence map›Paper›PMID 34345825›Full record

ArticleCritical care explorations2021

Reducing Unnecessary Laboratory Utilization in the Medical ICU: A Fellow-Driven Quality Improvement Initiative.

Megan Conroy, Elie Homsy, Jennica Johns, Kevin Patterson, Arindam Singha, Ryan Story, Geoffrey Finnegan, Kevin Shively, Kathrine Faherty, Matthew Gephart and 4 more

Abstract read
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Cultures for acid-fast bacilli: are we being good stewards?Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  7. 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

14 authors.

Megan ConroyDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Elie HomsyDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Jennica JohnsDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Kevin PattersonDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Arindam SinghaDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Ryan StoryDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Geoffrey FinneganCancer Analytics, James Cancer Center and Solove Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH.
Kevin ShivelyDepartment of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH.
Kathrine FahertyDepartment of Critical Care Nursing, The Ohio State University Wexner Medical Center, Columbus, OH.
Matthew GephartDepartment of Critical Care Nursing, The Ohio State University Wexner Medical Center, Columbus, OH.
Kari CapeDepartment of Pharmacy, The Ohio State University Wexner Medical Center, Columbus, OH.
Matthew C ExlineDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Naeem AliDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Beth BeseckerDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOverutilization of laboratory services is now recognized as harmful to patients and wasteful. In fact, the American Board of Internal Medicine's Choosing Wisely campaign recommends against ordering routine testing that does not answer a clinical question. Per peer benchmarking, our institution as a whole occupied an extreme outlier position at the 100th percentile for laboratory utilization. We sought to address this problem starting in our medical ICUs with a quality improvement project.

designQuality improvement project using the design, measure, analyze, improve, and control process. The primary endpoint was a sustained reduction in laboratory utilization. Counterbalance metrics were also followed, and these included mortality, renal replacement therapy initiation rates, stat laboratory orders, and central catheter-associated blood stream infections.

settingThe medical ICU at the Ohio State University Medical Center. PATIENTS: All patients admitted to the medical ICU from March 2019 to March 2020.

interventionsRoot causes were identified and addressed with the implementation of a wide range of interventions involving a multidisciplinary team led by trainee physicians. MEASUREMENTS AND MAIN

resultsThere was a sustained 20% reduction in the number of tests performed per patient day, with no change in the counterbalance metrics.

conclusionsTrainees can affect positive change in the culture and processes at their institutions to safely reduce laboratory utilization.

Indexed as

critical careevidence-based medicinehealthcare costslaboratoriespatient safetyquality improvement

Identifiers

PMID34345825
PMCPMC8322547

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.