Evidence map›Paper›PMID 35307357›Full record

ArticleThe American journal of medicine2022

Clinician Attitudes and Beliefs Associated with More Aggressive Diagnostic Testing.

Deborah Korenstein, Laura D Scherer, Andrew Foy, Lisa Pineles, Alison D Lydecker, Jill Owczarzak, Larry Magder, Jessica P Brown, Christopher D Pfeiffer, Christopher Terndrup and 6 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Article
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  6. Article
  7. Testing wisely: toward more efficient laboratory utilization.Proceedings (Baylor University. Medical Center) · 2024
    Article
  8. Article
  9. Review
  10. Developing a diagnosis calculator to estimate the probability of bacterial pneumonia.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

  • Commented on by
    2022
5 · Who and what money

Authors and funding

16 authors at 9 institutions in 2 countries.

Deborah KorensteinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY. Electronic address: korenstd@mskcc.org.
Laura D SchererAdult and Child Consortium of Health Outcomes Research and Delivery Science (ACCORDS); Division of Cardiology, University of Colorado School of Medicine, Aurora; Center of Innovation for Veteran-Centered and Value-Driven Care, VA Denver, Colo.
Andrew FoyDepartment of Medicine; Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pa.
Lisa PinelesDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
Alison D LydeckerDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
Jill OwczarzakDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md.
Larry MagderDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
Jessica P BrownDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md.
Christopher D PfeifferDivision of Infectious Diseases, Department of Medicine, Oregon Health & Science University, Portland; Division of Hospital and Specialty Medicine, VA Portland Health Care System, Ore.
Christopher TerndrupDivision of General Internal Medicine & Geriatrics, Department of Medicine, Oregon Health & Science University, Portland.
Luci LeykumDepartment of Medicine, Dell Medical School, the University of Texas at Austin; South Texas Veterans Health Care System, San Antonio.
Deborah StevensDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
David A FeldsteinDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison.
Scott A WeisenbergDepartment of Medicine, New York University Grossman School of Medicine, New York, NY.
Jonathan D BaghdadiDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore; VA Maryland Healthcare System, Baltimore.
Daniel J MorganDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore; VA Maryland Healthcare System, Baltimore.
University of Maryland, Baltimore · USJohns Hopkins University · USOregon Health & Science University · USMemorial Sloan Kettering Cancer Center · USNew York University · USOutcomes Research Consortium · USPennsylvania State University · USSouth Texas Veterans Health Care System · USUniversity of Wisconsin–Madison · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Institutional Career Development CoreKL2TR003099 · NCATS · JOHNS HOPKINS UNIVERSITY · PI GEBO, KELLY A · 2019 to 2023
$7.9M
Incorporating Bayesian reasoning into physician testing and treatment decisionsDP2LM012890 · NLM · UNIVERSITY OF MARYLAND BALTIMORE · PI MORGAN, DANIEL J · 2017 to 2017
$2.3M
NCATS NIH HHS KL2 TR003099NCI NIH HHS P30 CA008748NLM NIH HHS DP2 LM012890
6 · The paper itself

Abstract

backgroundVariation in clinicians' diagnostic test utilization is incompletely explained by demographics and likely relates to cognitive characteristics. We explored clinician factors associated with diagnostic test utilization.

methodsWe used a self-administered survey of attitudes, cognitive characteristics, and reported likelihood of test ordering in common scenarios; frequency of lipid and liver testing in patients on statin therapy. Participants were 552 primary care physicians, nurse practitioners, and physician assistants from practices in 8 US states across 3 regions, from June 1, 2018 to November 26, 2019. We measured Testing Likelihood Score: the mean of 4 responses to testing frequency and self-reported testing frequency in patients on statins.

resultsRespondents were 52.4% residents, 36.6% attendings, and 11.0% nurse practitioners/physician assistants; most were white (53.6%) or Asian (25.5%). Median age was 32 years; 53.1% were female. Participants reported ordering tests for a median of 20% (stress tests) to 90% (mammograms) of patients; Testing Likelihood Scores varied widely (median 54%, interquartile range 43%-69%). Higher scores were associated with geography, training type, low numeracy, high malpractice fear, high medical maximizer score, high stress from uncertainty, high concern about bad outcomes, and low acknowledgment of medical uncertainty. More frequent testing of lipids and liver tests was associated with low numeracy, high medical maximizer score, high malpractice fear, and low acknowledgment of uncertainty.

conclusionsClinician variation in testing was common, with more aggressive testing consistently associated with low numeracy, being a medical maximizer, and low acknowledgment of uncertainty. Efforts to reduce undue variations in testing should consider clinician cognitive drivers.

Indexed as

Nurse PractitionersPhysician AssistantsAdultAttitude of Health PersonnelDiagnostic Techniques and ProceduresFemaleHumansMaleSurveys and QuestionnairesClinician characteristicsMedical overuseUtilization

Identifiers

PMID35307357
PMCPMC9728553
OpenAlexW4220671928

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.