Evidence map›Paper›PMID 38150250›Full record

Trial reportJAMA network open2023

Syndromic Antibiograms and Nursing Home Clinicians' Antibiotic Choices for Urinary Tract Infections.

Lindsay N Taylor, Brigid M Wilson, Mriganka Singh, Jessica Irvine, Sally A Jolles, Corinne Kowal, Taissa A Bej, Christopher J Crnich, Robin L P Jump

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 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
1.1field-weighted citation impact, top 20% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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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

9 authors at 5 institutions in 1 country.

Lindsay N TaylorUniversity of Wisconsin School of Medicine and Public Health, Madison.
Brigid M WilsonGeriatric Research Education and Clinical Center (GRECC), Veterans Affairs Northeast Ohio Healthcare System, Cleveland.
Mriganka SinghDivision of Geriatrics and Palliative Medicine, Department of Medicine, Warren Alpert School of Medicine at Brown University, Providence, Rhode Island.
Jessica IrvineUniversity of Wisconsin School of Medicine and Public Health, Madison.
Sally A JollesUniversity of Wisconsin School of Medicine and Public Health, Madison.
Corinne Kowal
Taissa A BejGeriatric Research Education and Clinical Center (GRECC), Veterans Affairs Northeast Ohio Healthcare System, Cleveland.
Christopher J CrnichUniversity of Wisconsin School of Medicine and Public Health, Madison.
Robin L P JumpTECH-GRECC, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
University of Wisconsin–Madison · USGeriatric Research Education and Clinical Center · USBrown University · USCase Western Reserve University · USUW Health University Hospital · US

Funding

AHRQ HHS R01 HS027820
6 · The paper itself

Abstract

Importance: Empirical antibiotic prescribing in nursing homes (NHs) is often suboptimal. The potential for antibiograms to improve empirical antibiotic decision-making in NHs remains poorly understood. Objective: To determine whether providing NH clinicians with a urinary antibiogram improves empirical antibiotic treatment of urinary tract infections (UTIs). Design, Setting, and Participants: This was a survey study using clinical vignettes. Participants were recruited via convenience sampling of professional organization listservs of NH clinicians practicing in the US from December 2021 through April 2022. Data were analyzed from July 2022 to June 2023. Interventions: Respondents were randomized to complete vignettes using a traditional antibiogram (TA), a weighted-incidence syndromic combination antibiogram (WISCA), or no tool. Participants randomized to antibiogram groups were asked to use the antibiogram to empirically prescribe an antibiotic. Participants randomized to the no tool group functioned as controls. Main Outcomes and Measures: Empirical antibiotic selections were characterized as microbiologically (1) active and (2) optimal according to route of administration and spectrum of activity. Results: Of 317 responses, 298 (95%) were included in the analysis. Duplicate responses (15 participants), location outside the US (2 participants), and uninterpretable responses (2 participants) were excluded. Most respondents were physicians (217 respondents [73%]) and had over 10 years of NH practice experience (155 respondents [52%]). A mixed-effects logistic model found that use of the TA (odds ratio [OR], 1.41; 95% CI, 1.19-1.68; P < .001) and WISCA (OR, 1.54; 95% CI, 1.30-1.84; P < .001) were statistically superior to no tool when choosing an active empirical antibiotic. A similarly constructed model found that use of the TA (OR, 1.94; 95% CI, 1.42-2.66; P < .001) and WISCA (OR, 1.7; 95% CI, 1.24-2.33; P = .003) were statistically superior to no tool when selecting an optimal empirical antibiotic. Although there were differences between tools within specific vignettes, when compared across all vignettes, the TA and WISCA performed similarly for active (OR, 1.09; 95% CI, 0.92-1.30; P = .59) and optimal (OR, 0.87; 95% CI, 0.64-1.20; P = .69) antibiotics. Conclusions and Relevance: Providing NH clinicians with a urinary antibiogram was associated with selection of active and optimal antibiotics when empirically treating UTIs under simulated conditions. Although the antibiogram format was not associated with decision-making in aggregate, context-specific effects may have been present, supporting further study of syndromic antibiograms in clinical practice.

Indexed as

Anti-Bacterial AgentsMicrobial Sensitivity TestsUrinary Tract InfectionsHumansNursing HomesSkilled Nursing FacilitiesAnti-Bacterial Agents

Identifiers

PMID38150250
PMCPMC10753399
OpenAlexW4390275371

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.