The purpose of this research is to learn more about the impact of genetic testing on healthcare costs, clinical care, and quality of life.
Study Type
OBSERVATIONAL
Enrollment
100,000
Mayo Clinic in Arizona
Scottsdale, Arizona, United States
Mayo Clinic
Rochester, Minnesota, United States
Change in quality of life measured through adjusted years.
Measuring quality of life through adjusted years due to learning Tapestry test results.
Time frame: Every 12 months for 5 years after enrollment.
Disease incidence measured by disease count per 100 participants.
Number of disease incidences per 100 participants.
Time frame: 12 months
Change in utilization measured by total number of office visits, hospital stays, ER visits, and length of visits.
Composite of: Number of Office-based visits. Number of Hospital stays and length of visits. Number of ER visits.
Time frame: Every 12 months for 5 years after enrollment.
Change in costs measured by disease related and all-cost related costs.
Cost Composite of: Disease-related costs. Disease-related costs by utilization category. All-cause costs. All-cause costs by utilization category.
Time frame: Every 12 months for 5 years after enrollment.
Change in quality of life measured through adjusted years from subgroups.
Measuring quality of life through adjusted years due to learning Tapestry test results categorized by subgroups: minority races, 65 years and older, etc.
Time frame: Every 12 months for 5 years after enrollment.
Change in quality of life measured through adjusted years from different scenarios.
Measuring quality of life through adjusted years due to learning Tapestry test results categorized by different scenarios: disease comorbidities, patient income, education, adherence to medical orders, etc.
Time frame: Every 12 months for 5 years after enrollment.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Disease incidence from subgroups.
Number of disease incidences per 100 hundred participants categorized by subgroups: minority races, 65 years and older, etc.
Time frame: 12 months
Disease incidence from different scenarios..
Number of disease incidences per 100 hundred participants categorized by different scenarios: disease comorbidities, patient income, education, adherence to medical orders, etc.
Time frame: 12 months
Change in utilization from subgroups.
Composite of: Number of Office-based visits. Number of Hospital stays and length of visits. Number of ER visits. All categorized by subgroups: minority races, 65 years and older, etc.
Time frame: Every 12 months for 5 years after enrollment.
Change in utilization from different scenarios.
Composite of: Number of Office-based visits. Number of Hospital stays and length of visits. Number of ER visits. All categorized by different scenarios: disease comorbidities, patient income, education, adherence to medical orders, etc.
Time frame: Every 12 months for 5 years after enrollment.
Change in costs from subgroups.
All-cause costs. All-cause costs by utilization category. All categorized by subgroups: minority races, 65 years and older, etc.
Time frame: Every 12 months for 5 years after enrollment.
Change in costs from different scenarios.
All-cause costs. All-cause costs by utilization category. All categorized by different scenarios: disease comorbidities, patient income, education, adherence to medical orders, etc.
Time frame: Every 12 months for 5 years after enrollment.