Evidence map›Paper›PMID 30756307›Full record

ArticleJournal of general internal medicine2019

Imprinting on Clinical Rotations: Multisite Survey of High- and Low-Value Medical Student Behaviors and Relationship with Healthcare Intensity.

Andrea N Leep Hunderfund, Stephanie R Starr, Liselotte N Dyrbye, Elizabeth G Baxley, Jed D Gonzalo, Bonnie M Miller, Paul George, Helen K Morgan, Bradley L Allen, Ari Hoffman and 3 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 9 institutions in 1 country.

Andrea N Leep HunderfundMayo Clinic, Neurology, Rochester, MN, USA. leep.andrea@mayo.edu.
Stephanie R StarrMayo Clinic, Neurology, Rochester, MN, USA.
Liselotte N DyrbyeMayo Clinic, Neurology, Rochester, MN, USA.
Elizabeth G BaxleyEast Carolina University, Greenville, NC, USA.
Jed D GonzaloPennsylvania State University, Hershey, PA, USA.
Bonnie M MillerVanderbilt University, Nashville, TN, USA.
Paul GeorgeBrown University, Providence, RI, USA.
Helen K MorganUniversity of Michigan, Ann Arbor, MI, USA.
Bradley L AllenIndiana University School of Medicine, Indianapolis, IN, USA.
Ari HoffmanUniversity of California, San Francisco, San Francisco, CA, USA.
Tonya L FancherUniversity of California Davis, Sacramento, CA, USA.
Jay MandrekarMayo Clinic, Neurology, Rochester, MN, USA.
Darcy A ReedMayo Clinic, Neurology, Rochester, MN, USA.
Mayo Clinic in Arizona · USBrown University · USEast Carolina University · USIndiana University School of MedicinePenn State Milton S. Hershey Medical Center · USUniversity of California, Davis · USUniversity of California, San Francisco · USUniversity of Michigan–Ann Arbor · USVanderbilt University · US

Funding

SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
NCATS NIH HHS UL1 TR001086
6 · The paper itself

Abstract

backgroundPhysician behaviors are important to high-value care, and the learning environment medical students encounter on clinical clerkships may imprint their developing practice patterns.

objectivesTo explore potential imprinting on clinical rotations by (a) describing high- and low-value behaviors among medical students and (b) examining relationships with regional healthcare intensity (HCI).

designMultisite cross-sectional survey

participantsThird- and fourth-year students at nine US medical schools MAIN MEASURES: Survey items measured high-value (n = 10) and low-value (n = 9) student behaviors. Regional HCI was measured using Dartmouth Atlas End-of-Life Chronic Illness Care data (ratio of physician visits per decedent compared with the US average, hospital care intensity index, ratio of medical specialty to primary care physician visits per decedent). Associations between regional HCI and student behaviors were examined using unadjusted and adjusted (controlling for age, sex, and year in school) logistic regression analyses, using median item ratings to summarize reported engagement in high- and low-value behaviors. KEY

resultsOf 2623 students invited, 1304 (50%) responded. Many reported trying to determine healthcare costs (1085/1234, 88%), but only 45% (571/1257) reported including cost details in case presentations. Students acknowledged suggesting tests solely to anticipate what their supervisor would want (1143/1220, 94%), show off their ability to generate a broad differential diagnosis (1072/1218, 88%), satisfy curiosity (958/1217, 79%), protect the team from liability (938/1215, 77%), and build clinical experience (533/1217, 44%). Students in higher intensity regions reported significantly more low-value behaviors: each one-unit increase in the ratio of physician visits per decedent increased the odds of reporting low-value behaviors by 20% (OR 1.20, 95% CI 1.04-1.38; P = 0.01).

conclusionsThird- and fourth-year medical students report engaging in both high- and low-value behaviors, which are related to regional HCI. This underscores the importance of the clinical learning environment and suggests imprinting is already underway during medical school.

Indexed as

Attitude of Health PersonnelSurveys and QuestionnairesAdultClinical ClerkshipCross-Sectional StudiesDelivery of Health CareFemaleHumansMaleStudents, Medicalcost-conscious carehigh-value cost-conscious caremedical studentssurveyundergraduate medical education

Identifiers

PMID30756307
PMCPMC6614293
OpenAlexW2915014899

What OpenQuestion holds

Textmetadata
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.