Literature DB >> 28240921

Prevalence and alternative explanations influence cancer diagnosis: An experimental study with physicians.

Miroslav Sirota1, Olga Kostopoulou2, Thomas Round3, Shyamalee Samaranayaka4.   

Abstract

OBJECTIVE: Cancer causes death to millions of people worldwide. Early detection of cancer in primary care may enhance patients' chances of survival. However, physicians often miss early cancers, which tend to present with undifferentiated symptoms. Within a theoretical framework of the hypothesis generation (HyGene) model, together with psychological literature, we studied how 2 factors-cancer prevalence and an alternative explanation for the patient's symptoms-impede early cancer detection, as well as prompt patient management.
METHOD: Three hundred family physicians diagnosed and managed 2 patient cases, where cancer was a possible diagnosis (one colorectal cancer, the other lung cancer). We employed a 2 (cancer prevalence: low vs. high) × 2 (alternative explanation: present vs. absent) between-subjects design. Cancer prevalence was manipulated by changing either patient age or sex; the alternative explanation for the symptoms was manipulated by adding or removing a relevant clinical history. Each patient consulted twice.
RESULTS: In a series of random-intercept logistic models, both higher prevalence (OR = 1.92, 95% confidence interval [CI 1.27, 2.92]) and absence of an alternative explanation (OR = 1.70, 95% CI [1.11, 2.59]) increased the likelihood of a cancer diagnosis, which, in turn, increased the likelihood of prompt referral (OR = 22.84, 95% CI [16.14, 32.32]).
CONCLUSIONS: These findings confirm the probabilistic nature of the diagnosis generation process and validate the application of the HyGene model to early cancer detection. Increasing the salience of cancer-such as listing cancer as a diagnostic possibility-during the initial hypothesis generation phase may improve early cancer detection. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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Year:  2017        PMID: 28240921     DOI: 10.1037/hea0000461

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  4 in total

1.  Decision support for diagnosis should become routine in 21st century primary care.

Authors:  Brendan C Delaney; Olga Kostopoulou
Journal:  Br J Gen Pract       Date:  2017-11       Impact factor: 5.386

2.  Using cancer risk algorithms to improve risk estimates and referral decisions.

Authors:  Olga Kostopoulou; Kavleen Arora; Bence Pálfi
Journal:  Commun Med (Lond)       Date:  2022-01-10

3.  Do patients' faces influence General Practitioners' cancer suspicions? A test of automatic processing of sociodemographic information.

Authors:  Rosalind Adam; Roberta Garau; Edwin Amalraj Raja; Benedict Jones; Marie Johnston; Peter Murchie
Journal:  PLoS One       Date:  2017-11-22       Impact factor: 3.240

4.  Ability of verbal autopsy data to detect deaths due to uncontrolled hyperglycaemia: testing existing methods and development and validation of a novel weighted score.

Authors:  Sarah Blackstock; Miles D Witham; Alisha N Wade; Amelia Crampin; David Beran; Graham D Ogle; Justine I Davies
Journal:  BMJ Open       Date:  2019-10-18       Impact factor: 2.692

  4 in total

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