Machine-Generated Mortality Estimates and Nudges to Promote Advance Care Planning Discussion Among Cancer Patients

Completed · Not applicable

Conditions studied: Oncology

In brief

This study will use a stepped-wedge cluster randomized trial to evaluate the effect of a health system initiative using machine learning algorithms and behavioral nudges to prompt oncologists to have serious illness conversations with patients at high-risk of short-term mortality.

Key facts

Study ID

NCT03984773

Run by

University of Pennsylvania

People needed

78

Starts

2019-07-15

Expected to finish

2020-04-19

Last updated by the study team

2020-04-24

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Care for adults with cancer at the following clinics at Perelman Center for Advanced Medicine
• Breast Oncology
• Gastrointestinal Oncology
• Genitourinary Oncology
• Lymphoma
• Melanoma and Central Nervous System Oncology
• Myeloma
• Thoracic / Head and Neck Oncology
• Care for adults with cancer at the Pennsylvania Hospital Oncology clinic

You may not qualify if…

• Providers who care for only patients with benign hematologic disorders
• Providers who see only genetic consults
• Providers who see less than 12 high-risk patients in either the pre- or post- intervention periods
• Visits for patients with lung cancer who are enrolled in an ongoing palliative care clinical trial that may lead to more SICs
• Patient visits that are for oncology genetics consults (such patients may still be included if they see their primary oncologist during the trial)
• Providers who have not undergone serious illness conversation program training (SIC)

Where it is running

• Penn Medicine — Philadelphia, Pennsylvania, United States

Full record on ClinicalTrials.gov

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