Heuristic reasoning and cognitive biases: Are they hindrances to judgments and decision making in orthodontics?

Hicks, E. Preston; Kluemper, G. Thomas

doi:10.1016/j.ajodo.2010.05.018

Cited by 45 publications

(26 citation statements)

References 92 publications

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“…One‐third of participants could not explain their reason for considering themselves to be at personal risk of falling. Conditions of uncertainty may favor heuristic (automatic or intuitive) reasoning, which prior evaluations and preferences for the alternatives being considered may bias . Objective measures have better validity than subjective assessments in predicting falls in older adults.…”

Section: Discussionmentioning

confidence: 99%

Person‐Centered Fall Risk Awareness Perspectives: Clinical Correlates and Fall Risk

Verghese

2016

J American Geriatrics Society

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Background While objective measures to assess risk of falls in older adults have been established; the value of patient self-reports in the context of falls is not known. Objectives To identify clinical correlates of patient centered fall risk awareness, and their validity for predicting falls. Design Prospective cohort study. Setting and Participants 316 non-demented and ambulatory community-dwelling older adults (mean age 78 years, 55% women). Measurements Fall risk awareness was assessed with a two-item questionnaire, which asked participants about overall likelihood and personal risk of falling over the next 12 months. Incident falls were recorded over study follow-up. Results Fifty-three participants (16.8%) responded positively to the first fall risk awareness question about being likely to have a fall in the next 12 months, and 100 (31.6%) reported being at personal risk of falling over the next 12 months. There was only fair correlation (kappa 0.370) between responses on the two questions. Prior falls and depressive symptoms were associated with positive responses on both fall risk awareness questions. Age and other established fall risk factors were not associated with responses on both fall risk awareness questions. The fall risk awareness questionnaire did not predict incident falls or injurious falls. Conclusion Fall risk awareness is low in older adults. While patient centered fall risk awareness is not predictive of falls, subjective risk perceptions should be considered when designing fall preventive strategies as they may influence participation and behaviors.

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Section: Discussionmentioning

confidence: 99%

Person‐Centered Fall Risk Awareness Perspectives: Clinical Correlates and Fall Risk

Verghese

2016

J American Geriatrics Society

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“…Therefore, they choose nonextraction in those patients regardless of other factors such as crowding. [9][10][11] It can be speculated that, with experience, clinicians become more familiar with borderline cases best treated with extractions and are more comfortable making that decision than clinicians with less experience. The results of this study suggested that gender does not play a role in the decision between extraction vs nonextraction treatment.…”

Section: Discussionmentioning

confidence: 99%

Influence of clinicians' experience and gender on extraction decision in orthodontics

Saghafi

Heaton

Bayirli

et al. 2017

The Angle Orthodontist

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Objective: To determine whether, in Class I borderline cases, experienced orthodontists choose nonextraction treatment more frequently than do orthodontists with less experience. A secondary aim was to evaluate whether clinicians' gender and place of education play a role in extraction decision making. Materials and Methods: An online survey was developed using three Class I borderline patient cases. The survey included questions about clinicians' demographics as well as questions about the selected cases. The survey was distributed to approximately 2000 clinicians through the American Association of Orthodontics.Results: Of the 253 responses collected, a trend was observed wherein clinicians with more than 15 years of experience preferred an extraction treatment option more frequently than did clinicians with less than 5 years of experience. There was no association between gender and place of education and the decision to extract in the selected borderline cases. Crowding, patient's profile, and mandibular incisor inclination were among the top three reasons chosen by clinicians for both the extraction and nonextraction treatment decisions. Conclusions: A trend was observed in which clinicians with more experience chose an extraction treatment option more frequently in borderline cases than did those with less experience. Clinicians' gender did not play a role in extraction decision making. (Angle Orthod. 2017;87:641-650.)

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“…7 These models assume that the decision-maker understands the nature of the problem, has ample time to consider potential courses of action, can reasonably estimate the probability of occurrence for all outcomes for each course of action, can place a value on each of these diverse outcomes, and is able to execute the deliberation process in a step-wise manner. In the tumultuous lives of parents with gravely ill children or in similar circumstances of high risks and large amounts of uncertain information, [8][9][10][11] these assumptions are off the mark. Consequently, theories of decisionmaking based on these assumptions do not do justice to the realities of parental decision-making and ultimately fail to facilitate the advancement of the child's best interests.…”

Section: Methodsmentioning

confidence: 99%

Parental Explicit Heuristics in Decision-making for Children With Life-threatening Illnesses

Renjilian

Womer²,

Carroll³

et al. 2013

Pediatrics

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Heuristic reasoning and cognitive biases: Are they hindrances to judgments and decision making in orthodontics?

Cited by 45 publications

References 92 publications

Person‐Centered Fall Risk Awareness Perspectives: Clinical Correlates and Fall Risk

Person‐Centered Fall Risk Awareness Perspectives: Clinical Correlates and Fall Risk

Influence of clinicians' experience and gender on extraction decision in orthodontics

Parental Explicit Heuristics in Decision-making for Children With Life-threatening Illnesses

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