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What’s in a Label? Is Diagnosis the Start or the End of Clinical Reasoning?

Overview of attention for article published in Journal of General Internal Medicine, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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2 blogs
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45 X users

Citations

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55 Dimensions

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183 Mendeley
Title
What’s in a Label? Is Diagnosis the Start or the End of Clinical Reasoning?
Published in
Journal of General Internal Medicine, January 2016
DOI 10.1007/s11606-016-3592-7
Pubmed ID
Authors

Jonathan S. Ilgen, Kevin W. Eva, Glenn Regehr

Abstract

Diagnostic reasoning has received substantial attention in the literature, yet what we mean by "diagnosis" may vary. Diagnosis can align with assignment of a "label," where a constellation of signs, symptoms, and test results is unified into a solution at a single point in time. This "diagnostic labeling" conceptualization is embodied in our case-based learning curricula, published case reports, and research studies, all of which treat diagnostic accuracy as the primary outcome. However, this conceptualization may oversimplify the richly iterative and evolutionary nature of clinical reasoning in many settings. Diagnosis can also represent a process of guiding one's thoughts by "making meaning" from data that are intrinsically dynamic, experienced idiosyncratically, negotiated among team members, and rich with opportunities for exploration. Thus, there are two complementary constructions of diagnosis: 1) the correct solution resulting from a diagnostic reasoning process, and 2) a dynamic aid to an ongoing clinical reasoning process. This article discusses the importance of recognizing these two conceptualizations of "diagnosis," outlines the unintended consequences of emphasizing diagnostic labeling as the primary goal of clinical reasoning, and suggests how framing diagnosis as an ongoing process of meaning-making might change how we think about teaching and assessing clinical reasoning.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
France 1 <1%
Germany 1 <1%
Unknown 180 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 12%
Student > Doctoral Student 20 11%
Researcher 18 10%
Student > Postgraduate 15 8%
Professor > Associate Professor 14 8%
Other 59 32%
Unknown 35 19%
Readers by discipline Count As %
Medicine and Dentistry 74 40%
Nursing and Health Professions 23 13%
Psychology 16 9%
Social Sciences 12 7%
Business, Management and Accounting 3 2%
Other 13 7%
Unknown 42 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 October 2021.
All research outputs
#1,073,220
of 25,703,943 outputs
Outputs from Journal of General Internal Medicine
#867
of 8,243 outputs
Outputs of similar age
#18,975
of 407,803 outputs
Outputs of similar age from Journal of General Internal Medicine
#9
of 94 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 407,803 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.