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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06411834
Other study ID # 22-001913
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date January 2025
Est. completion date January 2027

Study information

Verified date May 2024
Source University of California, Los Angeles
Contact James Wu, MD
Phone 303-518-3186
Email jameswu@mednet.ucla.edu
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

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.


Description:

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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 50
Est. completion date January 2027
Est. primary completion date January 2026
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Age >18 - Newly diagnosed or suspected thyroid cancer Exclusion Criteria: - Strong indication for total thyroidectomy - tumor size >4 cm - nodal or distant metastases - evidence of extrathyroidal extension - Non-English speaking

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Decision navigation tool
An electronic, interactive form that guides patients through the major factors that influence their decision-making in thyroid cancer

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
University of California, Los Angeles

Outcome

Type Measure Description Time frame Safety issue
Primary Decision satisfaction University of Ottawa Decisional Conflict Scale 1 year postoperative
Primary Decision satisfaction University of Ottawa Decisional Conflict Scale Immediately postoperative
Primary Decision satisfaction University of Ottawa Decisional Conflict Scale Two weeks postoperative
Primary Decision regret University of Ottawa Decisional Conflict Scale 1 year postoperative
Primary Decision regret University of Ottawa Decisional Conflict Scale immediately postoperative
Primary Decision regret University of Ottawa Decisional Conflict Scale two weeks postoperative postoperative
Primary Rate of guideline concordant care vs guideline discordant care During study period of 12 months
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