- ICH GCP
- Registr klinických studií v USA
- Klinická studie NCT07793721
Effects of Risk Presentation Format and Frequently Asked Questions on Breast Cancer Risk Skepticism
26. srpna 2026 aktualizováno: University of Colorado, Denver
The purpose of this study is to find out whether the way a breast cancer risk estimate is presented affects how women feel about their risk and whether they believe the estimate is accurate for them.
Women aged 39-74 will complete an online survey in which they receive a personalized breast cancer risk estimate using the Breast Cancer Risk Assessment Tool (BCRAT).
The study includes two experiments.
In the first experiment, women are randomly assigned to receive their estimate in different formats: some will see their risk over 5 years, 10 years, or a lifetime, and some will see their risk expressed out of 100 women or out of 1,000 women.
In the second experiment, women receive their estimate and then have the opportunity to read answers to frequently asked questions about how breast cancer risk is calculated and what the estimate means.
In both experiments, women are asked whether they believe the estimate reflects their true risk.
Both experiments are conducted online through a national survey panel.
Přehled studie
Postavení
Zatím nenabíráme
Podmínky
Typ studie
Intervenční
Zápis (Odhadovaný)
3000
Fáze
- Nelze použít
Kontakty a umístění
Tato část poskytuje kontaktní údaje pro ty, kteří studii provádějí, a informace o tom, kde se tato studie provádí.
Studijní kontakt
- Jméno: Laura D Scherer, PhD
- Telefonní číslo: 303-724-3278
- E-mail: laura.scherer@cuanschutz.edu
Studijní záloha kontaktů
- Jméno: Emily A Vidal, MS
- Telefonní číslo: 303-724-5426
- E-mail: emily.a.vidal@cuanschutz.edu
Studijní místa
-
-
Colorado
-
Aurora, Colorado, Spojené státy, 80045
- University of Colorado Anschutz Medical Campus
-
Kontakt:
- Kate Noonan, MSW
- Telefonní číslo: 303-618-2181
- E-mail: KATE.NOONAN@CUANSCHUTZ.EDU
-
Kontakt:
- Laura D Scherer, PhD
- Telefonní číslo: 303-724-3278
- E-mail: laura.scherer@cuanschutz.edu
-
Vrchní vyšetřovatel:
- Laura D Scherer, PhD
-
-
Kritéria účasti
Výzkumníci hledají lidi, kteří odpovídají určitému popisu, kterému se říká kritéria způsobilosti. Některé příklady těchto kritérií jsou celkový zdravotní stav osoby nebo předchozí léčba.
Kritéria způsobilosti
Věk způsobilý ke studiu
- Dospělý
- Starší dospělý
Přijímá zdravé dobrovolníky
Ano
Popis
Inclusion Criteria:
- Female sex
- Age 39-74 (i.e., people who are eligible for routine breast cancer screening and for whom guidelines recommend an informed, risk-based decision)
- English literacy
Exclusion Criteria:
1. Prior diagnosis of
- breast cancer
- Ductal carcinoma in situ (DCIS)
- Lobular carcinoma in situ (LCIS)
- Known BRCA1/2 gene mutation
- Cowan syndrome
- Li-Fraumeni syndrome
- Having received previous chest radiation for treatment of Hodgkin's lymphoma.
Studijní plán
Tato část poskytuje podrobnosti o studijním plánu, včetně toho, jak je studie navržena a co studie měří.
Jak je studie koncipována?
Detaily designu
- Primární účel: Výzkum zdravotnických služeb
- Přidělení: Randomizované
- Intervenční model: Faktorové přiřazení
- Maskování: Žádné (otevřený štítek)
Zbraně a zásahy
Skupina účastníků / Arm |
Intervence / Léčba |
|---|---|
|
Experimentální: 5 Year Risk AND N-in-100 Presentation
|
Participants receive a personalized breast cancer risk estimate generated by the Gail Model.
The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women).
All other elements of the risk presentation are held constant across conditions.
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document.
The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician.
FAQ items are displayed as expandable questions; participants click to reveal answers.
All participants receive the same FAQ document.
|
|
Experimentální: 10 Year Risk AND N-in-100 Presentation
|
Participants receive a personalized breast cancer risk estimate generated by the Gail Model.
The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women).
All other elements of the risk presentation are held constant across conditions.
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document.
The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician.
FAQ items are displayed as expandable questions; participants click to reveal answers.
All participants receive the same FAQ document.
|
|
Experimentální: Lifetime Risk AND N-in-100 Presentation
|
Participants receive a personalized breast cancer risk estimate generated by the Gail Model.
The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women).
All other elements of the risk presentation are held constant across conditions.
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document.
The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician.
FAQ items are displayed as expandable questions; participants click to reveal answers.
All participants receive the same FAQ document.
|
|
Experimentální: 5 Year Risk AND N-in-1000 Presentation
|
Participants receive a personalized breast cancer risk estimate generated by the Gail Model.
The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women).
All other elements of the risk presentation are held constant across conditions.
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document.
The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician.
FAQ items are displayed as expandable questions; participants click to reveal answers.
All participants receive the same FAQ document.
|
|
Experimentální: 10 Year Risk AND N-in-1000 Presentation
|
Participants receive a personalized breast cancer risk estimate generated by the Gail Model.
The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women).
All other elements of the risk presentation are held constant across conditions.
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document.
The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician.
FAQ items are displayed as expandable questions; participants click to reveal answers.
All participants receive the same FAQ document.
|
|
Experimentální: Lifetime Risk AND N-in-1000 Presentation
|
Participants receive a personalized breast cancer risk estimate generated by the Gail Model.
The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women).
All other elements of the risk presentation are held constant across conditions.
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document.
The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician.
FAQ items are displayed as expandable questions; participants click to reveal answers.
All participants receive the same FAQ document.
|
Co je měření studie?
Primární výstupní opatření
Měření výsledku |
Popis opatření |
Časové okno |
|---|---|---|
|
Risk Skepticism
Časové okno: Day 1
|
Participants' perception of their Gail model risk estimate is trichotomized into three categories: Underestimator (believed risk is lower than estimate), Agreer (believed risk equals estimate), and Overestimator (believed risk is higher than estimate).
|
Day 1
|
|
Risk Perception
Časové okno: Day 1
|
This measure includes two Likert scale questions assessing the perceived likelihood of developing cancer and the level of worry about getting cancer.
|
Day 1
|
Spolupracovníci a vyšetřovatelé
Zde najdete lidi a organizace zapojené do této studie.
Sponzor
Spolupracovníci
Vyšetřovatelé
- Vrchní vyšetřovatel: Laura D Scherer, PhD, University of Colorado, Denver
Termíny studijních záznamů
Tato data sledují průběh záznamů studie a předkládání souhrnných výsledků na ClinicalTrials.gov. Záznamy ze studií a hlášené výsledky jsou před zveřejněním na veřejné webové stránce přezkoumány Národní lékařskou knihovnou (NLM), aby se ujistily, že splňují specifické standardy kontroly kvality.
Hlavní termíny studia
Začátek studia (Odhadovaný)
1. září 2026
Primární dokončení (Odhadovaný)
1. února 2027
Dokončení studie (Odhadovaný)
1. dubna 2027
Termíny zápisu do studia
První předloženo
18. srpna 2026
První předloženo, které splnilo kritéria kontroly kvality
26. srpna 2026
První zveřejněno (Aktuální)
28. srpna 2026
Aktualizace studijních záznamů
Poslední zveřejněná aktualizace (Aktuální)
28. srpna 2026
Odeslaná poslední aktualizace, která splnila kritéria kontroly kvality
26. srpna 2026
Naposledy ověřeno
1. srpna 2026
Více informací
Termíny související s touto studií
Klíčová slova
Další relevantní podmínky MeSH
Další identifikační čísla studie
- 26-1163
- R01CA279953 (Grant/smlouva NIH USA)
Plán pro data jednotlivých účastníků (IPD)
Plánujete sdílet data jednotlivých účastníků (IPD)?
ANO
Popis plánu IPD
The protocol, code books, and data set associated with this study will be shared on the Open Science Framework after ensuring that it is completely anonymized.
Časový rámec sdílení IPD
IPD and supporting information will be made available when the first manuscript is submitted to a journal for review.
Kritéria přístupu pro sdílení IPD
Anyone will be able to access the IPD and supporting information by downloading it from OSF.
Typ podpůrných informací pro sdílení IPD
- PROTOKOL STUDY
- MÍZA
- ANALYTIC_CODE
Informace o lécích a zařízeních, studijní dokumenty
Studuje lékový produkt regulovaný americkým FDA
Ne
Studuje produkt zařízení regulovaný americkým úřadem FDA
Ne
Tyto informace byly beze změn načteny přímo z webu clinicaltrials.gov. Máte-li jakékoli požadavky na změnu, odstranění nebo aktualizaci podrobností studie, kontaktujte prosím register@clinicaltrials.gov. Jakmile bude změna implementována na clinicaltrials.gov, bude automaticky aktualizována i na našem webu .