Evidence map›Paper›PMID 38298158›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

Development of Patient Safety Measures to Identify Inappropriate Diagnosis of Common Infections.

Andrea T White, Valerie M Vaughn, Lindsay A Petty, Tejal N Gandhi, Jennifer K Horowitz, Scott A Flanders, Steven J Bernstein, Timothy P Hofer, David Ratz, Elizabeth S McLaughlin and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. 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
3.0field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Electronic Clinical Quality Measures of Antibiotic Use in Hospitalized Adults With Uncomplicated Community-Acquired Pneumonia.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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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 at 3 institutions in 1 country.

Andrea T WhiteDivision of General Internal Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID 0000-0001-7775-5696
Valerie M VaughnDivision of General Internal Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Lindsay A PettyDivision of Infectious Diseases, Department of Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Tejal N GandhiDivision of Infectious Diseases, Department of Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Jennifer K HorowitzDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Scott A FlandersDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Steven J BernsteinCenter for Clinical Management Research, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan, USA.
Timothy P HoferCenter for Clinical Management Research, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan, USA.
David RatzCenter for Clinical Management Research, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan, USA.
Elizabeth S McLaughlinDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Daniel NielsenDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Tawny CzilokDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Jennifer MinockDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Ashwin GuptaDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
University of Michigan · USUniversity of Utah · USVA Center for Clinical Management Research · US

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Engaging Hospitalists to Improve Antibiotic Prescribing at Hospital DischargeK08HS026530 · AHRQ · UNIVERSITY OF UTAH · PI VAUGHN, VALERIE MICHELE · 2020 to 2024
$765k
Agency for Healthcare Research and Quality 1-K08-HS26540-01AHRQ HHS K08 HS026530NCATS NIH HHS UM1 TR004409
6 · The paper itself

Abstract

backgroundInappropriate diagnosis of infections results in antibiotic overuse and may delay diagnosis of underlying conditions. Here we describe the development and characteristics of 2 safety measures of inappropriate diagnosis of urinary tract infection (UTI) and community-acquired pneumonia (CAP), the most common inpatient infections on general medicine services.

methodsMeasures were developed from guidelines and literature and adapted based on data from patients hospitalized with UTI and CAP in 49 Michigan hospitals and feedback from end-users, a technical expert panel (TEP), and a patient focus group. Each measure was assessed for reliability, validity, feasibility, and usability.

resultsTwo measures, now endorsed by the National Quality Forum (NQF), were developed. Measure reliability (derived from 24 483 patients) was excellent (0.90 for UTI; 0.91 for CAP). Both measures had strong validity demonstrated through (a) face validity by hospital users, the TEPs, and patient focus group, (b) implicit case review (ĸ 0.72 for UTI; ĸ 0.72 for CAP), and (c) rare case misclassification (4% for UTI; 0% for CAP) due to data errors (<2% for UTI; 6.3% for CAP). Measure implementation through hospital peer comparison in Michigan hospitals (2017 to 2020) demonstrated significant decreases in inappropriate diagnosis of UTI and CAP (37% and 32%, respectively, P < .001), supporting usability.

conclusionsWe developed highly reliable, valid, and usable measures of inappropriate diagnosis of UTI and CAP for hospitalized patients. Hospitals seeking to improve diagnostic safety, antibiotic use, and patient care should consider using these measures to reduce inappropriate diagnosis of CAP and UTI.

Indexed as

Community-Acquired InfectionsPatient SafetyUrinary Tract InfectionsAdultAgedAnti-Bacterial AgentsDiagnostic ErrorsFemaleHumansMaleMichiganMiddle AgedPneumoniaReproducibility of ResultsAnti-Bacterial Agentsasymptomatic bacteriuriacommunity-acquired pneumoniadiagnostic stewardshipquality of careurinary tract infection

Identifiers

PMID38298158
PMCPMC11175682
OpenAlexW4391447023

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.