Effect of age-based left-digit bias on stroke diagnosis: Regression discontinuity design

Shingo Fukuma, Ryo Ikesu, Toshiaki Iizuka and Yusuke Tsugawa

Social Science & Medicine, 2023, vol. 334, issue C

Abstract: Little is known about how left-digit bias— where humans tend to discretely categorize their decisions based on the left-most digit of the continuous variables—based on patients’ age affects the initial diagnosis of stroke patients. The aim of this study is to examine whether there is a discontinuous change in the ordering of imaging tests for stroke at the age threshold of 40 years old, which is indicative of left-digit bias, and whether the effect varies by patient sex.

Keywords: Stroke; Behavioral heuristics; Left digit bias; Clinical decision-making; Sex difference; Regression discontinuity design (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.socscimed.2023.116193

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