Effects of Risk Presentation Format and Frequently Asked Questions on Breast Cancer Risk Skepticism
Studienübersicht
Status
Status
Bedingungen
Bedingungen
Intervention / Behandlung
Intervention / Behandlung
Studientyp
Studientyp
Einschreibung (Geschätzt)
Einschreibung
Phase
Phase
- Unzutreffend
Kontakte und Standorte
Studienkontakt
Studienkontakt
- Name: Laura D Scherer, PhD
- Telefonnummer: 303-724-3278
- E-Mail: laura.scherer@cuanschutz.edu
Studieren Sie die Kontaktsicherung
- Name: Emily A Vidal, MS
- Telefonnummer: 303-724-5426
- E-Mail: emily.a.vidal@cuanschutz.edu
Studienorte
-
-
Colorado
-
Aurora, Colorado, Vereinigte Staaten, 80045
- University of Colorado Anschutz Medical Campus
-
Kontakt:
- Kate Noonan, MSW
- Telefonnummer: 303-618-2181
- E-Mail: KATE.NOONAN@CUANSCHUTZ.EDU
-
Kontakt:
- Laura D Scherer, PhD
- Telefonnummer: 303-724-3278
- E-Mail: laura.scherer@cuanschutz.edu
-
Hauptermittler:
- Laura D Scherer, PhD
-
-
Teilnahmekriterien
Zulassungskriterien
Zulassungskriterien
Studienberechtigtes Alter
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Beschreibung
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.
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Versorgungsforschung
- Zuteilung: Zufällig
- Interventionsmodell: Fakultätszuweisung
- Maskierung: Keine (Offenes Etikett)
Anzahl der Arme
Waffen und Interventionen
Teilnehmergruppe / ArmTeilnehmergruppe / Arm |
Intervention / BehandlungIntervention / Behandlung |
|---|---|
|
Experimental: 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.
|
|
Experimental: 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.
|
|
Experimental: 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.
|
|
Experimental: 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.
|
|
Experimental: 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.
|
|
Experimental: 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.
|
Was misst die Studie?
Primäre Ergebnismessungen
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
|
Risk Skepticism
Zeitfenster: 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
|
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Risk Perception
Zeitfenster: 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
|
Mitarbeiter und Ermittler
Sponsor
Sponsor
Mitarbeiter
Mitarbeiter
Ermittler
Ermittler
- Hauptermittler: Laura D Scherer, PhD, University of Colorado, Denver
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Geschätzt)
Studienbeginn
Primärer Abschluss (Geschätzt)
Primärer Abschluss
Studienabschluss (Geschätzt)
Studienabschluss
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Zuerst gepostet
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes Update gepostet
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
Andere Studien-ID-Nummern
- 26-1163
- R01CA279953 (US NIH Stipendium/Vertrag)
Plan für individuelle Teilnehmerdaten (IPD)
Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?
Beschreibung des IPD-Plans
IPD-Sharing-Zeitrahmen
IPD-Sharing-Zugriffskriterien
Art der unterstützenden IPD-Freigabeinformationen
- STUDIENPROTOKOLL
- SAFT
- ANALYTIC_CODE
Arzneimittel- und Geräteinformationen, Studienunterlagen
Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt
Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt
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