This is a Beeson K76 career development award for Dr. Melisa Wong, a thoracic oncology clinician- investigator dually trained in medical oncology and aging research. Dr. Wong?s long-term goal is to become a national leader in geriatric oncology research, improving cancer care for older adults by aligning treatments with individualized patient goals. More than 72% of older adults with cancer report that they would not choose a treatment that results in functional impairment, even if it improves survival. Yet, oncologists traditionally make treatment decisions based on cancer characteristics, often without discussing how treatment might affect function or eliciting patients? goals and values. To move from cancer-centered to patient-centered decision making, oncologists must both predict which older adults are at highest risk for functional decline and communicate complex information about benefits and harms to patients in a way that aligns treatments with their goals for function, quality of life, longevity, and other priorities. This proposal aims to 1) identify risk factors for functional decline in daily activities, physical performance, and life-space mobility during chemotherapy and/or immunotherapy in older adults with metastatic lung cancer; 2A) adapt the Best Case/Worst Case (BC/WC) communication tool; and 2B) test its feasibility for use during treatment discussions with older adults with lung cancer.
In Aim 1 ?s multi-site cohort study, patients age 65 and older with metastatic lung cancer will undergo serial geriatric assessments to measure functional status during chemotherapy and/or immunotherapy.
In Aim 2 A?s focus group study, older adults with lung cancer, caregivers, and oncologists will participate in focus groups to elicit feedback aimed at adapting the BC/WC tool to incorporate function and other patient priorities into patient-centered decision making.
In Aim 2 B?s pre-post pilot study, oncologists will be trained to use the adapted BC/WC tool; treatment discussions with older adults with lung cancer before and after training will be analyzed. Dr. Wong?s exceptional multidisciplinary mentoring team is led by Dr. Louise Walter, an internationally recognized expert on individualized decision making for cancer screening in older adults. This award will support Dr. Wong?s transition to research independence through dedicated training in 1) longitudinal modeling and risk prediction for functional decline in older adults with cancer; 2) shared decision making and decision-making interventions for older adults with functional or cognitive impairment; 3) clinical trial design to test decision-making interventions for older adults with cancer; and 4) leadership skills to direct multicenter research to transform geriatric oncology care. The results from this proposal will serve as the foundation for a multicenter cohort study to develop and validate a risk prediction score for functional decline during lung cancer treatment in older adults and a cluster-randomized trial to test the effect of the adapted BC/WC tool on communication, shared decision making, and receipt of goal-concordant care.

Public Health Relevance

The rapidly growing population of older adults with lung cancer, the leading cause of cancer mortality in the US, is at increased risk for treatment toxicity and functional decline. Little is known about which older adults with lung cancer are at highest risk for functional decline during chemotherapy and/or immunotherapy or how to best communicate information about benefits and harms to patients in a way that aligns treatments with their individual goals and values. This project combines identification of risk factors for functional decline with adaptation of a novel communication tool to advance patient-centered decision making in older adults with lung cancer.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Project #
5K76AG064431-02
Application #
9973181
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Salive, Marcel
Project Start
2019-07-15
Project End
2024-02-29
Budget Start
2020-03-01
Budget End
2021-02-28
Support Year
2
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118