NCT03984773

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

Completed NA Last updated 24 April 2020

What this trial tests

NA trial testing Nudge in Oncology in 78 participants. Completed in 19 April 2020.

Timeline

15 July 2019

Primary endpoint
1 November 2019

19 April 2020

Quick facts

Lead sponsor	University of Pennsylvania
Phase	NA
Status	Completed
Study type	INTERVENTIONAL
Allocation	randomized
Design	parallel
Masking	double
Primary purpose	health services research
Enrollment	78
Start date	15 July 2019
Primary completion	1 November 2019
Estimated completion	19 April 2020
Sites	1 location across United States

Drugs / interventions tested

• Nudge

Conditions studied

• Oncology — all drugs for Oncology →

Sponsor

University of Pennsylvania

Who can join

18 and older, any sex, with Oncology. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

8 peer-reviewed publications reference this trial (live from Europe PMC):

1. Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer: A Stepped-Wedge Cluster Randomized Clinical Trial.
   Manz CR, Parikh RB, Small DS, Evans CN, et al · · 2020 · cited 131× · PMID 33057696 · DOI 10.1001/jamaoncol.2020.4759
2. Long-term Effect of Machine Learning-Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer: A Randomized Clinical Trial.
   Manz CR, Zhang Y, Chen K, Long Q, et al · · 2023 · cited 84× · PMID 36633868 · DOI 10.1001/jamaoncol.2022.6303
3. Oncologist Perceptions of Algorithm-Based Nudges to Prompt Early Serious Illness Communication: A Qualitative Study.
   Parikh RB, Manz CR, Nelson MN, Ferrell W, et al · · 2022 · cited 13× · PMID 35984992 · DOI 10.1089/jpm.2022.0095
4. Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial.
   Manz CR, Parikh RB, Evans CN, Chivers C, et al · · 2020 · cited 11× · PMID 31982648 · DOI 10.1016/j.cct.2020.105951
5. Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trial.
   Li E, Manz C, Liu M, Chen J, et al · · 2022 · cited 10× · PMID 35622812 · DOI 10.1371/journal.pone.0267012
6. Impact of Behavioral Nudges on the Quality of Serious Illness Conversations Among Patients With Cancer: Secondary Analysis of a Randomized Controlled Trial.
   Li EH, Ferrell W, Klaiman T, Kumar P, et al · · 2022 · cited 6× · PMID 34767481 · DOI 10.1200/op.21.00024
7. Spending Analysis of Machine Learning-Based Communication Nudges in Oncology.
   Patel TA, Heintz J, Chen J, LaPergola M, et al · · 2024 · cited 5× · PMID 39036423 · DOI 10.1056/aioa2300228
8. Clinician- and Patient-Directed Communication Strategies for Patients With Cancer at High Mortality Risk: A Cluster Randomized Trial.
   Takvorian SU, Gabriel P, Wileyto EP, Blumenthal D, et al · · 2024 · cited 5× · PMID 38949813 · DOI 10.1001/jamanetworkopen.2024.18639