Dataset Information

Effect of Superstitious Beliefs and Risk Intuitions on Genetic Test Decisions.

ABSTRACT:

Introduction

Moving beyond numeric representations of risk perceptions, we examine cognitive causation, or superstitious thinking, and negative affect in risk as predictors of MC1R (i.e., moderate v. high risk) skin cancer genetic testing and responses to this testing.

Methods

Participants (N = 496) completed baseline assessments using validated measures of cognitive causation (beliefs that thinking about cancer risk increases cancer likelihood) and negative affect in risk (negative feelings generated during risk perception) and subsequently received a test offer. Participants could access a website to learn about and request genetic testing. Those who tested (n = 167) completed assessments of cognitive and affective reactions 2 wk after testing, including the Impact of Events-Revised Intrusive thoughts subscale.

Results

Those with higher negative affect in risk were less likely to return a saliva sample for testing (odds ratio = 0.98, 95% confidence interval = 0.96-0.99). Those with higher cognitive causation reported more fear (b = 0.28-0.31; P's < 0.05). Higher negative affect in risk was associated with more emotion-laden test responses, particularly in those receiving higher-risk as compared with average-risk results.

Conclusion

Negative affect in risk did not hamper test information seeking, although it did inhibit the uptake of genetic testing. Those with higher cognitive causation showed more fear regarding their test result, as indicated by higher distress in those who received average-risk results and lower believability in those who received higher-risk results.

SUBMITTER: Riley KE

PROVIDER: S-EPMC8882703 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Publications

Effect of Superstitious Beliefs and Risk Intuitions on Genetic Test Decisions.

Riley Kristen E KE Sussman Andrew L AL Schofield Elizabeth E Guest Dolores D DD Dailey Yvonne T YT Schwartz Matthew R MR Buller David B DB Hunley Keith K Kaphingst Kimberly A KA Berwick Marianne M Hay Jennifer L JL

Medical decision making : an international journal of the Society for Medical Decision Making 20210828 3

<h4>Introduction</h4>Moving beyond numeric representations of risk perceptions, we examine cognitive causation, or superstitious thinking, and negative affect in risk as predictors of <i>MC1R</i> (i.e., moderate v. high risk) skin cancer genetic testing and responses to this testing.<h4>Methods</h4>Participants (<i>N</i> = 496) completed baseline assessments using validated measures of cognitive causation (beliefs that thinking about cancer risk increases cancer likelihood) and negative affect i ...[more]

PMID: 34455851

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Project description:OBJECTIVES:To evaluate the impact of a genomic classifier (GC) test for predicting metastasis risk after radical prostatectomy (RP) on urologists' decision-making about adjuvant treatment of patients with high-risk prostate cancer. SUBJECTS AND METHODS:Patient case history was extracted from the medical records of each of the 145 patients with pT3 disease or positive surgical margins (PSMs) after RP treated by six high-volume urologists, from five community practices. GC results were available for 122 (84%) of these patients. US board-certified urologists (n = 107) were invited to provide adjuvant treatment recommendations for 10 cases randomly drawn from the pool of patient case histories. For each case, the study participants were asked to make an adjuvant therapy recommendation without (clinical variables only) and with knowledge of the GC test results. Recommendations were made without knowledge of other participants' responses and the presentation of case histories was randomised to minimise recall bias. RESULTS:A total of 110 patient case histories were available for review by the study participants. The median patient age was 62 years, 71% of patients had pT3 disease and 63% had PSMs. The median (range) 5-year predicted probability of metastasis by the GC test for the cohort was 3.9 (1-33)% and the GC test classified 72% of patients as having low risk for metastasis. A total of 51 urologists consented to the study and provided 530 adjuvant treatment recommendations without, and 530 with knowledge of the GC test results. Study participants performed a mean of 130 RPs/year and 55% were from community-based practices. Without GC test result knowledge, observation was recommended for 57% (n = 303), adjuvant radiation therapy (ART) for 36% (n = 193) and other treatments for 7% (n = 34) of patients. Overall, 31% (95% CI: 27-35%) of treatment recommendations changed with knowledge of the GC test results. Of the ART recommendations without GC test result knowledge, 40% (n = 77) changed to observation (95% CI: 33-47%) with this knowledge. Of patients recommended for observation, 13% (n = 38 [95% CI: 9-17%]) were changed to ART with knowledge of the GC test result. Patients with low risk disease according to the GC test were recommended for observation 81% of the time (n = 276), while of those with high risk, 65% were recommended for treatment (n = 118; P < 0.001). Treatment intensity was strongly correlated with the GC-predicted probability of metastasis (P < 0.001) and the GC test was the dominant risk factor driving decisions in multivariable analysis (odds ratio 8.6, 95% CI: 5.3-14.3%; P < 0.001). CONCLUSIONS:Knowledge of GC test results had a direct effect on treatment strategies after surgery. Recommendations for observation increased by 20% for patients assessed by the GC test to be at low risk of metastasis, whereas recommendations for treatment increased by 16% for patients at high risk of metastasis. These results suggest that the implementation of genomic testing in clinical practice may lead to significant changes in adjuvant therapy decision-making for high-risk prostate cancer.

Dataset Information

Effect of Superstitious Beliefs and Risk Intuitions on Genetic Test Decisions.

Introduction

Methods

Results

Conclusion

Publications

Effect of Superstitious Beliefs and Risk Intuitions on Genetic Test Decisions.

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