Evidence map›Paper›PMID 39722532›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2025

Changes in Risk Tolerance for Ovarian Cancer Prevention Strategies during the COVID-19 Pandemic: Results of a Discrete Choice Experiment.

Brian L Egleston, Mary B Daly, Kaitlyn Lew, Lisa Bealin, Alexander D Husband, Jill E Stopfer, Pawel Przybysz, Olga Tchuvatkina, Yu-Ning Wong, Judy E Garber and 1 more

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Brian L EglestonFox Chase Cancer Center, Temple University Health System, Philadelphia, PA, USA.ORCID 0000-0002-1633-799X
Mary B DalyFox Chase Cancer Center, Temple University Health System, Philadelphia, PA, USA.
Kaitlyn LewDana-Farber Cancer Institute, Boston, MA, USA.
Lisa BealinFox Chase Cancer Center, Temple University Health System, Philadelphia, PA, USA.
Alexander D HusbandDana-Farber Cancer Institute, Boston, MA, USA.ORCID 0009-0000-6033-529X
Jill E StopferDana-Farber Cancer Institute, Boston, MA, USA.
Pawel PrzybyszFox Chase Cancer Center, Temple University Health System, Philadelphia, PA, USA.
Olga TchuvatkinaFox Chase Cancer Center, Temple University Health System, Philadelphia, PA, USA.
Yu-Ning WongSection of Hematology and Oncology, Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
Judy E GarberDana-Farber Cancer Institute, Boston, MA, USA.
Timothy R RebbeckDana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-4799-1900

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Eric Andrew Ross · 1985 to 2026
$138.8M
Precision Assessment and Delivery of Cancer Risks in BRCA 1/2 Mutation CancersR01CA207365 · NCI · DANA-FARBER CANCER INST · PI CHEN, JINBO, REBBECK, TIMOTHY R · 2017 to 2021
$3.6M
Data and Information Integration for Risk Prediction in the Era of Big DataR01CA236468 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CHEN, JINBO · 2019 to 2024
$2.2M
NCI NIH HHS P30 CA006927NCI NIH HHS R01 CA207365NCI NIH HHS R01 CA236468
6 · The paper itself

Abstract

backgroundPrior to COVID-19, little was known about how risks associated with such a pandemic would compete with and influence patient decision making regarding cancer risk reducing medical decision making. We investigated how the pandemic affected preferences for medical risk-reducing strategies among women at elevated risk of breast or ovarian cancer.

methodsWe conducted a discrete choice experiment. Women about to undergo genetic testing and counseling at 2 medical centers participated. Enrollment occurred between 2019 and 2022, allowing us to investigate changes in preferences from before the pandemic to after the pandemic. Women chose from permuted scenarios that specified type of surgery, age of menopause, quality of menopausal symptoms, and risk of ovarian cancer, heart disease, or osteoporosis.

resultsA total of 355 women, with a median age of 36 y, participated. In 2019, women were less likely to choose prevention scenarios with higher ovarian cancer risk (odds ratio [OR] = 0.42 per 10-point increase in risk, 95% confidence interval [CI] 0.22-0.61). In June 2020, the effect of higher ovarian cancer risk scenarios on choice was attenuated (OR = 0.86, 95% CI 0.68-1.04), with the effect becoming more salient again by July 2021 (OR = 0.59, 95% CI 0.52-0.67) (

conclusionThe risks associated with the COVID-19 pandemic may have attenuated the impact of risk of ovarian cancer on choice of risk-reducing prevention strategies for ovarian cancer. The maximum attenuation occurred at the beginning of the pandemic when access to risk-reducing surgery was most restricted. Our findings highlight how individuals evaluate competing health risks and adjust their uptake of cancer prevention strategies when faced with a future pandemic or similar global crisis. HIGHLIGHTS: In this discrete choice experiment, women were much less likely to choose prevention scenarios that had higher ovarian cancer risk prior to the COVID-19 pandemic than after the pandemic.The attenuation of preferences may have persisted through 2022.COVID-19 may have altered the relative importance of factors that motivate women to undergo risk-reducing surgeries.

Indexed as

Choice BehaviorCOVID-19Ovarian NeoplasmsPatient PreferenceAdultAgedFemaleHumansMiddle AgedPandemicsRisk AssessmentRisk FactorsSARS-CoV-2COVID-19discrete choice experimenthigh-risk womenovarian cancerpreventive surgery

Identifiers

PMID39722532
PMCPMC11881031

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.