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Understanding clinical and non-clinical decisions under uncertainty: a scenario-based survey

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2016
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Title
Understanding clinical and non-clinical decisions under uncertainty: a scenario-based survey
Published in
BMC Medical Informatics and Decision Making, December 2016
DOI 10.1186/s12911-016-0391-3
Pubmed ID
Authors

Vlad V. Simianu, Margaret A. Grounds, Susan L. Joslyn, Jared E. LeClerc, Anne P. Ehlers, Nidhi Agrawal, Rafael Alfonso-Cristancho, Abraham D. Flaxman, David R. Flum

Abstract

Prospect theory suggests that when faced with an uncertain outcome, people display loss aversion by preferring to risk a greater loss rather than incurring certain, lesser cost. Providing probability information improves decision making towards the economically optimal choice in these situations. Clinicians frequently make decisions when the outcome is uncertain, and loss aversion may influence choices. This study explores the extent to which prospect theory, loss aversion, and probability information in a non-clinical domain explains clinical decision making under uncertainty. Four hundred sixty two participants (n = 117 non-medical undergraduates, n = 113 medical students, n = 117 resident trainees, and n = 115 medical/surgical faculty) completed a three-part online task. First, participants completed an iced-road salting task using temperature forecasts with or without explicit probability information. Second, participants chose between less or more risk-averse ("defensive medicine") decisions in standardized scenarios. Last, participants chose between recommending therapy with certain outcomes or risking additional years gained or lost. In the road salting task, the mean expected value for decisions made by clinicians was better than for non-clinicians(-$1,022 vs -$1,061; <0.001). Probability information improved decision making for all participants, but non-clinicians improved more (mean improvement of $64 versus $33; p = 0.027). Mean defensive decisions decreased across training level (medical students 2.1 ± 0.9, residents 1.6 ± 0.8, faculty1.6 ± 1.1; p-trend < 0.001) and prospect-theory-concordant decisions increased (25.4%, 33.9%, and 40.7%;p-trend = 0.016). There was no relationship identified between road salting choices with defensive medicine and prospect-theory-concordant decisions. All participants made more economically-rational decisions when provided explicit probability information in a non-clinical domain. However, choices in the non-clinical domain were not related to prospect-theory concordant decision making and risk aversion tendencies in the clinical domain. Recognizing this discordance may be important when applying prospect theory to interventions aimed at improving clinical care.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Student > Master 7 11%
Student > Bachelor 6 10%
Other 5 8%
Researcher 5 8%
Other 10 16%
Unknown 20 33%
Readers by discipline Count As %
Medicine and Dentistry 12 20%
Psychology 8 13%
Economics, Econometrics and Finance 3 5%
Business, Management and Accounting 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 7 11%
Unknown 28 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 October 2017.
All research outputs
#12,975,132
of 22,903,988 outputs
Outputs from BMC Medical Informatics and Decision Making
#878
of 1,997 outputs
Outputs of similar age
#196,931
of 416,461 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 25 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,997 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 54% 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 416,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.