NCT06411834Not yet recruiting
Mapping Patient Decision-making in Thyroid Cancer
Mapping Patient Decision-making in Thyroid Cancer: Improving Decision Outcomes Through Ethnographic Decision Modeling
Source: ClinicalTrials.gov · Last updated 24 Jul 2026
Brief summary (registry, in English)
The incidence of thyroid cancer has exploded in the past 5 decades, with a roughly three-fold increase since 1995. Fortunately, many new cases are small, early-stage thyroid cancers. The American Thyroid Association guidelines state that patients with papillary thyroid cancers less than 4 cm can choose either thyroid lobectomy or total thyroidectomy. However, it is unclear why patients will sometimes choose more aggressive treatments that carry additional operative risk when a less aggressive option is available. When investigators examined thyroid specialists' recommendations for thyroid cancer treatment, investigators found significant variation between physicians' risk estimates and their treatment recommendations. This illustrated that patients may receive inconsistent counseling regarding their diagnosis and treatment options from different providers. Worse yet, other studies have shown that patients often do not perceive a choice in their treatment. When patients undergo treatments that do not align with their own priorities and values, they may experience regret and low satisfaction. Decision aids have been shown to help patients feel more educated about their options but have not had an effect on their treatment choice, decision regret, or satisfaction. The aim of this study is to use an ethnographic approach to map the patient decision-making process and develop a Decision Navigation Tool to improve decision outcomes for thyroid cancer patients. An ethnographic approach seeks to understand the social norms, culture, and context that influence these decisions. Investigators will do so in 3 phases: 1) elicit patient decision criteria in selecting initial treatment for thyroid cancer, 2) construction and validation of decision-tree model for initial treatment of thyroid cancer, and 3) pilot randomized controlled trial of a Decision Navigation Tool. To construct the decision model, investigators will recruit a diverse sample of patients with varying age, gender, race/ethnicity, and operative and cancer outcomes. The Decision Navigation Tool will highlight patients' values and priorities and empower them to select a treatment aligned with their preferences. This study will provide important insights into the patient experience of decision-making in thyroid cancer and test the feasibility of a future multi-center large-scale clinical trial of a Decision Navigation Tool to improve decision outcomes.
- Status (registry)
- Not yet recruiting
- Study type
- Interventional
- Enrollment
- 50 (estimated)
- First submitted
- 9 Jun 2023
- Start date
- Apr 2028
- Primary completion date
- May 2029
- Lead sponsor
- University of California, Los Angeles
- Diseases
- Thyroid cancer
- NCT number
- NCT06411834
What you commit to
- Study type: Interventional
- Planned participants: 50
- From Apr 2028 to the primary completion date, May 2029
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other
- Strong indication for total thyroidectomy
- tumor size \>4 cm
- nodal or distant metastases
- evidence of extrathyroidal extension
- Non-English speaking
Who the study is looking for
- Age \>18
- Newly diagnosed or suspected thyroid cancer
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.