Evidence map›Paper›PMID 31974065›Full record

ArticleJournal of the American Medical Directors Association2020

Nursing Home Clinicians' Decision to Prescribe Antibiotics for a Suspected Urinary Tract Infection: Findings From a Discrete Choice Experiment.

Christine E Kistler, Anna S Beeber, Sheryl Zimmerman, Kimberly Ward, Claire E Farel, Keith Chrzan, Christopher J Wretman, Marcella H Boynton, Michael Pignone, Philip D Sloane

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Christine E KistlerDepartment of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC; The Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC. Electronic address: Christine_Kistler@med.unc.edu.
Anna S BeeberThe Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC; School of Nursing, University of North Carolina, Chapel Hill, NC.
Sheryl ZimmermanThe Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC; School of Social Work, University of North Carolina, Chapel Hill, NC.
Kimberly WardThe Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC.
Claire E FarelDivision of Infectious Diseases, Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC.
Keith ChrzanSawtooth Software, Inc, Provo, UT.
Christopher J WretmanThe Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC.
Marcella H BoyntonSchool of Public Health, University of North Carolina, Chapel Hill, NC.
Michael PignoneSchool of Medicine, University of Texas, Austin, TX.
Philip D SloaneDepartment of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC; The Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC.
University of North Carolina at Chapel Hill · USThe University of Texas at Austin · US

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Nurse and Physician Decision-making for Suspected Urinary Tract Infections in Nursing Homes: Potential Targets to Reduce Antibiotic OveruseR01HS024519 · AHRQ · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KISTLER, CHRISTINE E · 2016 to 2018
$1.5M
AHRQ HHS R01 HS024519NIAID NIH HHS P30 AI050410
6 · The paper itself

Abstract

objectiveTo determine which nursing home (NH) resident characteristics were most important to clinicians' decision to prescribe antibiotics for a suspected urinary tract infection (UTI), including both evidence-based and non-evidence-based characteristics.

designWeb-based discrete choice experiment with 19 clinical scenarios. For each scenario, clinicians were asked whether they would prescribe an antibiotic for a suspected UTI.

settingOnline survey.

participantsConvenience sample of 876 NH physicians and advanced practice providers who practiced primary care for NH residents in the United States.

methodsEach scenario varied information about 10 resident characteristics regarding urinalysis results, resident temperature, lower urinary tract symptoms, physical examination, antibiotic request, mental status, UTI risk, functional status, goals of care, and resident type. We derived importance scores for the characteristics and odds ratios (ORs) for specific information related to each characteristic from a multinomial logistic regression.

resultsApproximately half of the participants were male (56%) with a mean age of 49 years. Resident characteristics differed in their importance (ie, part-worth utility) when deciding whether to prescribe for a suspected UTI: urinalysis results (32%), body temperature (17%), lower urinary tract symptoms (17%), physical examination (15%), antibiotic request (7%), mental status (4%), UTI risk (4%), functional status (3%), goals of care (2%), and resident type (1%). Information about "positive leukocyte esterase, positive nitrates" was associated with highest odds of prescribing [OR 19.6, 95% confidence interval (CI) 16.9, 22.7], followed by "positive leukocyte esterase, negative nitrates" (OR 6.7, 95% CI 5.8, 7.6), and "painful or difficult urination" (OR 4.8, 95% CI 4.2, 5.5). CONCLUSIONS AND IMPLICATIONS: Although guidelines focus on lower urinary tract symptoms, body temperature, and physical examination for diagnosing a UTI requiring antibiotics, these characteristics were considered less important than urinalysis results, which have inconsistent clinical utility in NH residents. Point-of-care clinical decision support offers an evidence-based prescribing process.

Indexed as

Decision Support Systems, ClinicalUrinary Tract InfectionsAnti-Bacterial AgentsFemaleHumansMaleMiddle AgedNursing HomesSkilled Nursing FacilitiesAnti-Bacterial Agentsdecision makingDiscrete-choice experimentnursing homeurinary tract infection

Identifiers

PMID31974065
PMCPMC8121197
OpenAlexW3001851594

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.