Evidence map›Paper›PMID 30875319›Full record

ArticleDiagnosis (Berlin, Germany)2019

Internal medicine residents' evaluation of fevers overnight.

Jessica Howard-Anderson, Kristin E Schwab, Sandy Chang, Holly Wilhalme, Christopher J Graber, Roswell Quinn

Abstract read
In one paragraph

Article in Diagnosis (Berlin, Germany), 2019. 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
–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

5 citing papers in PubMed.

  1. Review
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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

6 authors.

Jessica Howard-AndersonDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, 49 Jesse Hill Jr. Drive, Atlanta, GA 30303, USA.ORCID https://orcid.org/0000-0001-9924-0458
Kristin E SchwabDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Sandy ChangDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Holly WilhalmeDepartment of Medicine Statistics Core, University of California Los Angeles, Los Angeles, CA, USA.
Christopher J GraberDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Roswell QuinnDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
J: NRSA Training CoreTL1TR002382 · NCATS · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Vasiliki Michopoulos · 2017 to 2026
$8.5M
NCATS NIH HHS TL1 TR002382NCATS NIH HHS UL1 TR002378
6 · The paper itself

Abstract

Background Scant data exists to guide the work-up for fever in hospitalized patients, and little is known about what diagnostic tests medicine residents order for such patients. We sought to analyze how cross-covering medicine residents address fever and how sign-out systems affect their response. Methods We conducted a prospective cohort study to evaluate febrile episodes that residents responded to overnight. Primary outcomes included diagnostic tests ordered, if an in-person evaluation occurred, and the effect of sign-out instructions that advised a "full fever work-up" (FFWU). Results Investigators reviewed 253 fevers in 155 patients; sign-out instructions were available for 204 fevers. Residents evaluated the patient in person in 29 (11%) episodes. The most common tests ordered were: blood cultures (48%), urinalysis (UA) with reflex culture (34%), and chest X-ray (30%). If the sign-out advised an FFWU, residents were more likely to order blood cultures [odds ratio (OR) 14.75, 95% confidence interval (CI) 7.52-28.90], UA with reflex culture (OR 12.07, 95% CI 5.56-23.23), chest X-ray (OR 16.55, 95% CI 7.03-39.94), lactate (OR 3.33, 95% CI 1.47-7.55), and complete blood count (CBC) (OR 3.16, 95% CI 1.17-8.51). In a multivariable regression, predictors of the number of tests ordered included hospital location, resident training level, timing of previous blood culture, in-person evaluation, escalation to a higher level of care, and sign-out instructions. Conclusions Sign-out instructions and a few patient factors significantly impacted cross-cover resident diagnostic test ordering for overnight fevers. This practice can be targeted in resident education to improve diagnostic reasoning and stewardship.

Indexed as

Continuity of Patient CareInpatientsInternship and ResidencyAdultDiagnostic Tests, RoutineEducation, Medical, GraduateFemaleFeverHospitalsHumansInternal MedicineMaleMiddle AgedProspective Studiesblood culturesdiagnostic stewardshipfeverhospital communicationresident education

Identifiers

PMID30875319
PMCPMC6541517

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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.