Literature DB >> 25378297

Doctors and numbers: an assessment of the critical risk interpretation test.

Tanner J Caverly1, Allan V Prochazka2,3, Brandon P Combs2, Brian P Lucas4, Shane R Mueller2, Jean S Kutner2, Ingrid Binswanger2, Angela Fagerlin1, Jacqueline McCormick3, Shirley Pfister3, Daniel D Matlock2.   

Abstract

BACKGROUND: Risk interpretation affects decision making. Yet, there is no valid assessment of how clinicians interpret the risk data that they commonly encounter.
OBJECTIVE: To establish the reliability and validity of a 20-item test of clinicians' risk interpretation.
METHODS: The Critical Risk Interpretation Test (CRIT) measures clinicians' abilities to 1) modify the interpretation based on meaningful differences in the outcome (e.g., disease specific v. all-cause mortality) and time period (e.g., lifetime v. 10-year mortality), 2) maintain a stable interpretation for different risk framings (e.g., relative v. absolute risk), and 3) correctly interpret how diagnostic testing modifies risk. There were 658 clinicians and medical trainees who participated: 116 nurse practitioners (NPs) at a national conference, 273 medical students at 1 institution, 148 residents in internal medicine at 2 institutions, and 121 internists at 1 institution. Participants completed a self-administered paper test during educational conferences. Seventeen evidence-based medicine experts took the test online and formally assessed content validity. Eighteen second-year medical students were recruited to take the test and a retest 3 weeks later to explore test-retest correlation.
RESULTS: Expert review supported test clarity and content validity. Factor analysis supported that the CRIT identifies at least 3 separable areas of clinician knowledge. Test-retest correlation was fair (intraclass correlation coefficient = 0.65; standard error = 0.15). Scores on our test correlated with other tests of related abilities. Mean test scores varied among groups, with differences in prior evidence-based medicine training and experience (93 for NPs, 101 for medical students, 101 for residents, 103 for academic internists, and 110 for physician experts; P < 0.001).
CONCLUSIONS: Our results provide supporting evidence for the reliability and validity of the CRIT as an index of critical risk interpretation abilities, which is acceptable and feasible to administer in an educational setting.
© The Author(s) 2014.

Entities:  

Keywords:  medical decision making; numeracy; risk communication; risk perception

Mesh:

Year:  2014        PMID: 25378297     DOI: 10.1177/0272989X14558423

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  6 in total

1.  Interpreting Clinical Trial Outcomes for Optimal Patient Care: A Survey of Clinicians and Trainees.

Authors:  Tanner J Caverly; Daniel D Matlock; Allan V Prochazka; Brian P Lucas; Rodney A Hayward
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2.  Repeated testing improves achievement in a blended learning approach for risk competence training of medical students: results of a randomized controlled trial.

Authors:  C Spreckelsen; J Juenger
Journal:  BMC Med Educ       Date:  2017-09-26       Impact factor: 2.463

3.  Testing for a Sweet Spot in Randomized Trials.

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Journal:  Med Decis Making       Date:  2021-08-11       Impact factor: 2.583

4.  Self-Reported Practices and Emotions in Prescribing Opioids for Chronic Noncancer Pain: A Cross-Sectional Study of German Physicians.

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Journal:  J Clin Med       Date:  2022-04-29       Impact factor: 4.241

5.  Experiencing the risk of overutilising opioids among patients with chronic non-cancer pain in ambulatory care (ERONA): the protocol of an exploratory, randomised controlled trial.

Authors:  Odette Wegwarth; Claudia Spies; Erika Schulte; Joerg J Meerpohl; Christine Schmucker; Edris Nury; Dirk Brockmann; Norbert Donner-Banzhoff; Stefan Wind; Eva Goebel; Wolf-Dieter Ludwig; Ralph Hertwig
Journal:  BMJ Open       Date:  2020-09-06       Impact factor: 2.692

6.  Health numeracy skills of medical students:cross-sectional and controlled before-and-after study.

Authors:  Ivan Buljan; Ružica Tokalić; Matko Marušić; Ana Marušić
Journal:  BMC Med Educ       Date:  2019-12-21       Impact factor: 2.463

  6 in total

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