Evidence map›Paper›PMID 35014024›Full record

ArticleJournal of the American Geriatrics Society2022

Overdiagnosis of urinary tract infections by nursing home clinicians versus a clinical guideline.

Christine E Kistler, Christopher J Wretman, Sheryl Zimmerman, Chineme Enyioha, Kimberly Ward, Claire E Farel, Philip D Sloane, Marcella H Boynton, Anna S Beeber, John S Preisser

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Investigation of atypical microbial agents in patients with sterile pyuria.Annals of clinical microbiology and antimicrobials · 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

10 authors at 1 institution in 1 country.

Christine E KistlerDepartment of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0003-0566-5741
Christopher J WretmanThe Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC, USA.
Sheryl ZimmermanThe Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC, USA.
Chineme EnyiohaDepartment of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Kimberly WardThe Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC, USA.
Claire E FarelDepartment of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Philip D SloaneDepartment of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Marcella H BoyntonDepartment of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Anna S BeeberSchool of Nursing, University of North Carolina, Chapel Hill, NC, USA.
John S PreisserGillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · US

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
AHRQ HHS R01 HS024519NIAID NIH HHS P30 AI050410
6 · The paper itself

Abstract

purposeTo inform overprescribing and antibiotic stewardship in nursing homes (NHs), we examined the concordance between clinicians' (NH primary care providers and registered nurses) diagnosis of suspected UTI with a clinical guideline treated as the gold standard, and whether clinician characteristics were associated with diagnostic classification.

methodsWe conducted a cross-sectional web-based survey of a U.S. national convenience sample of NH clinicians. The survey included a discrete choice experiment with 19 randomly selected clinical scenarios of NH residents with possible UTIs. For each scenario, participants were asked if they thought a UTI was likely. Responses were compared to the guideline to determine the sensitivity and specificity of clinician judgment and performance indicators. Multivariable logistic mixed effects regression analysis of demographic, work, personality, and UTI knowledge/attitudes characteristics was conducted.

resultsOne thousand seven hundred forty-eight NH clinicians responded to 33,212 discrete choice scenarios; 867 (50%) were NH primary care providers and 881 (50%) were NH registered nurses, 39% were male, and the mean age was 45 years. Participants were uncertain about diagnosis in 30% of scenarios. Correct classification occurred for 66% of all scenarios (providers: 70%; nurses: 62%). Respondent judgment had a sensitivity of 78% (providers: 81%; nurses: 74%) and specificity of 54% (providers: 59%; nurses: 49%) compared to the clinical guideline. Adjusting for covariates in multivariable models, being a nurse and having higher closemindedness were associated higher odds of false positive UTI (odds ratio [OR] 1.61, p < 0.001; and OR 1.09, p = 0.039, respectively), although higher UTI knowledge and conscientiousness were associated with lower odds of false positive UTI ratings (OR 0.80, p < 0.001; OR 0.90, p = 0.005, respectively).

conclusionsClinicians tend to over-diagnose urinary tract infections, necessitating systems-based interventions to augment clinical decision-making. Clinician type, UTI knowledge, and personality traits may also influence behavior and deserve further study.

Indexed as

OverdiagnosisUrinary Tract InfectionsAnti-Bacterial AgentsCross-Sectional StudiesHumansMaleNursing HomesAnti-Bacterial Agentsclinical decision-makingconfusion matrixdiagnostic accuracynursing homeurinary tract infection

Identifiers

PMID35014024
PMCPMC12239993
OpenAlexW4206843483

What OpenQuestion holds

Textmetadata
LicenceTDM
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.