Spots Global Cancer Trial Database for Impact of Family History and Decision Support on High-risk Cancer Screening

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Trial Identification

Brief Title: Impact of Family History and Decision Support on High-risk Cancer Screening

Official Title: Impact of Family History and Decision Support on High-risk Cancer Screening

Study ID: NCT02247336

Conditions

Colorectal Cancer

Interventions

Family health history platform (MeTree)

Study Description

Brief Summary: Family health history can help identify patients at higher than average risk for disease. There is no standardized system for collecting and updating family health history, using this information to determine a patient's disease risk level, and providing screening recommendations to patients and providers. Patients will enter their family health history into MeTree, a family history software program. The program will produce screening recommendations tailored to the patient's family health history. The investigators will examine whether this process increases physician referrals for, and patient uptake of, guideline-recommended screening for colorectal cancer.

Detailed Description: Eligible patients are aged 40-65 years, enrolled in primary care, do not have a personal history of colorectal cancer, and have some knowledge of family health history. In Aim 1, a retrospective chart review will be conducted to determine the baseline rate of documenting family health history of colorectal cancer in the medical record for patients enrolled in the Aim 2 randomized trial. In Aim 2, consented patients will be randomized to provide patient-entered family health history and receive patient and provider decision support at enrollment or 12 months later (wait-list control). The primary outcome is risk-appropriate CRC screening/surveillance referral for patients 12 months post-enrollment. Secondary outcomes include patient uptake of recommendations and referral for genetic consultation 12 months post-enrollment. In Aim 3, qualitative interviews will be conducted with physicians and clinic leaders; data will be analyzed using conventional content analysis. In Aim 4, data will be obtained from the administrative databases and patient medical records to conduct a budget impact analysis.