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Trial Title:
Mapping Patient Decision-making in Thyroid Cancer
NCT ID:
NCT06411834
Condition:
Thyroid Cancer
Conditions: Official terms:
Thyroid Neoplasms
Thyroid Diseases
Conditions: Keywords:
decision-making
Study type:
Interventional
Study phase:
N/A
Overall status:
Not yet recruiting
Study design:
Allocation:
Randomized
Intervention model:
Parallel Assignment
Primary purpose:
Health Services Research
Masking:
None (Open Label)
Intervention:
Intervention type:
Behavioral
Intervention name:
Decision navigation tool
Description:
An electronic, interactive form that guides patients through the major factors that
influence their decision-making in thyroid cancer
Arm group label:
Decision Navigation Tool
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.
Detailed 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.
Criteria for eligibility:
Criteria:
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
Gender:
All
Minimum age:
18 Years
Maximum age:
N/A
Healthy volunteers:
No
Start date:
January 2025
Completion date:
January 2027
Lead sponsor:
Agency:
University of California, Los Angeles
Agency class:
Other
Source:
University of California, Los Angeles
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06411834