Evidence map›Paper›PMID 31437269›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Outpatient Urinary Tract Infections in an Era of Virtual Healthcare: Trends From 2008 to 2017.

Katia J Bruxvoort, Zoe Bider-Canfield, Joan A Casey, Lei Qian, Alice Pressman, Anna S Liang, Sarah Robinson, Steven J Jacobsen, Sara Y Tartof

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  11. Gut residentmedRxiv : the preprint server for health sciences · 2024
    Article
  12. Article
  13. UropathogenicFrontiers in cellular and infection microbiology · 2024
    Article
  14. Multidrug Resistance ofOpen forum infectious diseases · 2023
    Article
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  16. 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.

Katia J BruxvoortDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Zoe Bider-CanfieldDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Joan A CaseyDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley.
Lei QianDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Alice PressmanResearch, Development, and Dissemination Department, Sutter Health, Walnut Creek, California.
Anna S LiangDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Sarah RobinsonResearch, Development, and Dissemination Department, Sutter Health, Walnut Creek, California.
Steven J JacobsenDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.
Sara Y TartofDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena.

Funding

Antimicrobial resistant E. coli before and after California Senate bill 27 (ARES): a natural experimentR01AI130066 · NIAID · KAISER FOUNDATION RESEARCH INSTITUTE · PI TARTOF, SARA · 2017 to 2021
$3.8M
NIAID NIH HHS R01 AI130066
6 · The paper itself

Abstract

backgroundUrinary tract infections (UTIs) occur commonly, but recent data on UTI rates are scarce. It is unknown how the growth of virtual healthcare delivery affects outpatient UTI management and trends in the United States.

methodsFrom 1 January 2008 to 31 December 2017, UTIs from outpatient settings (office, emergency, and virtual visits) were identified from electronic health records at Kaiser Permanente Southern California using multiple UTI definitions. Annual rates estimated by Poisson regression were stratified by sex, care setting, age, and race/ethnicity. Annual trends were estimated by linear or piecewise Poisson regression.

resultsUTIs occurred in 1 065 955 individuals. Rates per 1000 person-years were 53.7 (95% confidence interval [CI], 50.6-57.0) by diagnosis code with antibiotic and 25.8 (95% CI, 24.7-26.9) by positive culture. Compared to office and emergency visits, UTIs were increasingly diagnosed in virtual visits, where rates by diagnosis code with antibiotic increased annually by 21.2% (95% CI, 16.5%-26.2%) in females and 29.3% (95% CI, 23.7%-35.3%) in males. Only 32% of virtual care diagnoses had a culture order. Overall, UTI rates were highest and increased the most in older adults. Rates were also higher in Hispanic and white females and black and white males.

conclusionsOutpatient UTI rates increased from 2008 to 2017, especially in virtual care and among older adults. Virtual care is important for expanding access to health services, but strategies are needed in all outpatient care settings to ensure accurate UTI diagnosis and reduce inappropriate antibiotic treatment.

Indexed as

OutpatientsUrinary Tract InfectionsAgedAmbulatory CareAnti-Bacterial AgentsDelivery of Health CareFemaleHumansMaleUnited StatesAnti-Bacterial Agentsantibioticurinary tract infectionvirtual healthcare

Identifiers

PMID31437269
PMCPMC7456352

What OpenQuestion holds

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Registered trials

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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.