Literature DB >> 25675907

When is rational to order a diagnostic test, or prescribe treatment: the threshold model as an explanation of practice variation.

Benjamin Djulbegovic1, Jef van den Ende, Robert M Hamm, Thomas Mayrhofer, Iztok Hozo, Stephen G Pauker.   

Abstract

BACKGROUND: The threshold model represents an important advance in the field of medical decision-making. It is a linchpin between evidence (which exists on the continuum of credibility) and decision-making (which is a categorical exercise - we decide to act or not act). The threshold concept is closely related to the question of rational decision-making. When should the physician act, that is order a diagnostic test, or prescribe treatment? The threshold model embodies the decision theoretic rationality that says the most rational decision is to prescribe treatment when the expected treatment benefit outweighs its expected harms. However, the well-documented large variation in the way physicians order diagnostic tests or decide to administer treatments is consistent with a notion that physicians' individual action thresholds vary.
METHODS: We present a narrative review summarizing the existing literature on physicians' use of a threshold strategy for decision-making.
RESULTS: We found that the observed variation in decision action thresholds is partially due to the way people integrate benefits and harms. That is, explanation of variation in clinical practice can be reduced to a consideration of thresholds. Limited evidence suggests that non-expected utility threshold (non-EUT) models, such as regret-based and dual-processing models, may explain current medical practice better. However, inclusion of costs and recognition of risk attitudes towards uncertain treatment effects and comorbidities may improve the explanatory and predictive value of the EUT-based threshold models.
CONCLUSIONS: The decision when to act is closely related to the question of rational choice. We conclude that the medical community has not yet fully defined criteria for rational clinical decision-making. The traditional notion of rationality rooted in EUT may need to be supplemented by reflective rationality, which strives to integrate all aspects of medical practice - medical, humanistic and socio-economic - within a coherent reasoning system.
© 2015 Stichting European Society for Clinical Investigation Journal Foundation.

Entities:  

Keywords:  Clinical cognition; decision making; diagbnostic threshold; practice variation; rationality; treatment threshold

Mesh:

Year:  2015        PMID: 25675907     DOI: 10.1111/eci.12421

Source DB:  PubMed          Journal:  Eur J Clin Invest        ISSN: 0014-2972            Impact factor:   4.686


  14 in total

1.  Threshold analysis in the presence of both the diagnostic and the therapeutic risk.

Authors:  Stefan Felder; Thomas Mayrhofer
Journal:  Eur J Health Econ       Date:  2017-12-26

Review 2.  Is a Positive Developmental-Behavioral Screening Score Sufficient to Justify Referral? A Review of Evidence and Theory.

Authors:  R Christopher Sheldrick; Daryl Garfinkel
Journal:  Acad Pediatr       Date:  2017-03-07       Impact factor: 3.107

3.  A system dynamics model of clinical decision thresholds for the detection of developmental-behavioral disorders.

Authors:  R Christopher Sheldrick; Dominic J Breuer; Razan Hassan; Kee Chan; Deborah E Polk; James Benneyan
Journal:  Implement Sci       Date:  2016-11-25       Impact factor: 7.327

4.  Expected utility versus expected regret theory versions of decision curve analysis do generate different results when treatment effects are taken into account.

Authors:  Iztok Hozo; Athanasios Tsalatsanis; Benjamin Djulbegovic
Journal:  J Eval Clin Pract       Date:  2016-12-15       Impact factor: 2.431

5.  Many faces of rationality: Implications of the great rationality debate for clinical decision-making.

Authors:  Benjamin Djulbegovic; Shira Elqayam
Journal:  J Eval Clin Pract       Date:  2017-07-20       Impact factor: 2.431

6.  Distinguishing variation in referral accuracy from referral threshold: analysis of a national dataset of referrals for suspected cancer.

Authors:  Christopher D Burton; David J McLernon; Amanda J Lee; Peter Murchie
Journal:  BMJ Open       Date:  2017-08-21       Impact factor: 2.692

7.  Dual Processing Model for Medical Decision-Making: An Extension to Diagnostic Testing.

Authors:  Athanasios Tsalatsanis; Iztok Hozo; Ambuj Kumar; Benjamin Djulbegovic
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

8.  Rationality, practice variation and person-centred health policy: a threshold hypothesis.

Authors:  Benjamin Djulbegovic; Robert M Hamm; Thomas Mayrhofer; Iztok Hozo; Jef Van den Ende
Journal:  J Eval Clin Pract       Date:  2015-12-07       Impact factor: 2.431

Review 9.  Explaining variations in test ordering in primary care: protocol for a realist review.

Authors:  Claire Duddy; Geoffrey Wong
Journal:  BMJ Open       Date:  2018-09-12       Impact factor: 2.692

10.  Rational decision making in medicine: Implications for overuse and underuse.

Authors:  Benjamin Djulbegovic; Shira Elqayam; William Dale
Journal:  J Eval Clin Pract       Date:  2017-12-01       Impact factor: 2.431

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