Trial Outcomes & Findings for Effect of Behavioral Nudges on Serious Illness Conversation Documentation (NCT NCT04867850)

NCT ID: NCT04867850

Last Updated: 2024-04-18

Results Overview

Measured at the patient level as a binary outcome (yes/no) among high-risk patients based on date of documented note including the SIC template in the Advanced Care Planning (ACP) section of the electronic medical record by any provider Outcomes were measured for patients only.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

4450 participants

Primary outcome timeframe

Within 6 months of the Index Visit (baseline)

Results posted on

2024-04-18

Participant Flow

A total of 4,450 patients were included in this study on serious illness conversations (SICs). These patients were seen by 163 clinicians across 65 oncologist-advanced practice provider (APP) clusters. Baseline measures and outcome data were collected for patients only.

Unit of analysis: Oncologist-APP Clusters

Participant milestones

Participant milestones
Measure
Usual Care
Clinicians and patients will receive no further interventions beyond usual practice. Usual care for clinicians includes a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm. Usual Care: Individual clinicians will receive an automated weekly email detailing a weekly roster of their upcoming repeat-patient visits (Index Visit) with patients at high risk of 6-month mortality as determined by a validated machine learning prognostic algorithm. Clinicians will receive a HIPAA compliant text message on the morning of the appointment reminding them to consider a serious illness conversation with patients on the list.
Clinician Nudge
Clinicians receive a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm as well as performance feedback compared to peers. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers.
Patient Nudge
Patients receive a nudge consisting of a normalizing message prompting patients to complete an electronic questionnaire designed to prime patients towards having an SIC. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Clinician and Patient Nudge
Both strategies described above will be used. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Overall Study
STARTED
1004 32
1179 33
997 0
1270 0
Overall Study
COMPLETED
1004 29
1179 31
997 0
1270 0
Overall Study
NOT COMPLETED
0 3
0 2
0 0
0 0

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

Effect of Behavioral Nudges on Serious Illness Conversation Documentation

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Usual Care
n=1004 Participants
Clinicians and patients will receive no further interventions beyond usual practice. Usual care for clinicians includes a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm. Usual Care: Individual clinicians will receive an automated weekly email detailing a weekly roster of their upcoming repeat-patient visits (Index Visit) with patients at high risk of 6-month mortality as determined by a validated machine learning prognostic algorithm. Clinicians will receive a HIPAA compliant text message on the morning of the appointment reminding them to consider a serious illness conversation with patients on the list.
Clinician Nudge
n=1179 Participants
Clinicians receive a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm as well as performance feedback compared to peers. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers.
Patient Nudge
n=997 Participants
Patients receive a nudge consisting of a normalizing message prompting patients to complete an electronic questionnaire designed to prime patients towards having an SIC. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Clinician and Patient Nudge
n=1270 Participants
Both strategies described above will be used. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Total
n=4450 Participants
Total of all reporting groups
Age, Continuous
66 years
n=99 Participants
68 years
n=107 Participants
67 years
n=206 Participants
68 years
n=7 Participants
67 years
n=31 Participants
Sex: Female, Male
Female
556 Participants
n=99 Participants
594 Participants
n=107 Participants
558 Participants
n=206 Participants
644 Participants
n=7 Participants
2352 Participants
n=31 Participants
Sex: Female, Male
Male
448 Participants
n=99 Participants
585 Participants
n=107 Participants
439 Participants
n=206 Participants
626 Participants
n=7 Participants
2098 Participants
n=31 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
29 Participants
n=99 Participants
29 Participants
n=107 Participants
28 Participants
n=206 Participants
36 Participants
n=7 Participants
122 Participants
n=31 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
975 Participants
n=99 Participants
1150 Participants
n=107 Participants
969 Participants
n=206 Participants
1234 Participants
n=7 Participants
4328 Participants
n=31 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
n=99 Participants
0 Participants
n=107 Participants
0 Participants
n=206 Participants
0 Participants
n=7 Participants
0 Participants
n=31 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
n=99 Participants
2 Participants
n=107 Participants
1 Participants
n=206 Participants
1 Participants
n=7 Participants
4 Participants
n=31 Participants
Race (NIH/OMB)
Asian
23 Participants
n=99 Participants
28 Participants
n=107 Participants
43 Participants
n=206 Participants
35 Participants
n=7 Participants
129 Participants
n=31 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
1 Participants
n=99 Participants
2 Participants
n=107 Participants
2 Participants
n=206 Participants
2 Participants
n=7 Participants
7 Participants
n=31 Participants
Race (NIH/OMB)
Black or African American
192 Participants
n=99 Participants
206 Participants
n=107 Participants
176 Participants
n=206 Participants
196 Participants
n=7 Participants
770 Participants
n=31 Participants
Race (NIH/OMB)
White
736 Participants
n=99 Participants
873 Participants
n=107 Participants
722 Participants
n=206 Participants
963 Participants
n=7 Participants
3294 Participants
n=31 Participants
Race (NIH/OMB)
More than one race
4 Participants
n=99 Participants
6 Participants
n=107 Participants
10 Participants
n=206 Participants
9 Participants
n=7 Participants
29 Participants
n=31 Participants
Race (NIH/OMB)
Unknown or Not Reported
48 Participants
n=99 Participants
62 Participants
n=107 Participants
43 Participants
n=206 Participants
64 Participants
n=7 Participants
217 Participants
n=31 Participants
Region of Enrollment
United States
1004 Participants
n=99 Participants
1179 Participants
n=107 Participants
997 Participants
n=206 Participants
1270 Participants
n=7 Participants
4450 Participants
n=31 Participants
Predicted odds of 180-day mortality (based on a validated machine learning algorithm; 0-1 scale)
.18 Avg. predicted probability of mortality
n=99 Participants
.19 Avg. predicted probability of mortality
n=107 Participants
.18 Avg. predicted probability of mortality
n=206 Participants
.19 Avg. predicted probability of mortality
n=7 Participants
.19 Avg. predicted probability of mortality
n=31 Participants

PRIMARY outcome

Timeframe: Within 6 months of the Index Visit (baseline)

Measured at the patient level as a binary outcome (yes/no) among high-risk patients based on date of documented note including the SIC template in the Advanced Care Planning (ACP) section of the electronic medical record by any provider Outcomes were measured for patients only.

Outcome measures

Outcome measures
Measure
Usual Care
n=1004 Participants
Clinicians and patients will receive no further interventions beyond usual practice. Usual care for clinicians includes a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm. Usual Care: Individual clinicians will receive an automated weekly email detailing a weekly roster of their upcoming repeat-patient visits (Index Visit) with patients at high risk of 6-month mortality as determined by a validated machine learning prognostic algorithm. Clinicians will receive a HIPAA compliant text message on the morning of the appointment reminding them to consider a serious illness conversation with patients on the list.
Clinician Nudge
n=1179 Participants
Clinicians receive a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm as well as performance feedback compared to peers. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers.
Patient Nudge
n=997 Participants
Patients receive a nudge consisting of a normalizing message prompting patients to complete an electronic questionnaire designed to prime patients towards having an SIC. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Clinician and Patient Nudge
n=1270 Participants
Both strategies described above will be used. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Number of High Risk Patients With Documentation of a Serious Illness Conversation (SIC)
112 Participants
136 Participants
115 Participants
179 Participants

SECONDARY outcome

Timeframe: Within 6 months of first repeat patient visit during trial period

Population: Data were not collected for this outcome because it reflected a different patient population than the one in this study. The workflow for identifying patients for this trial was based on patients having a risk score (risk of predicted 180-day mortality based on a validated machine-learning prognostic algorithm) exceeding a certain threshold ahead of their clinical appointment, and it was infeasible to track patients with a risk score below this threshold.

Measured at the patient level as a binary outcome (yes/no) among all cancer patients based on date of documented note including the SIC template in the Advanced Care Planning (ACP) section of the electronic medical record by any provider Outcomes were measured for patients only.

Outcome measures

Outcome data not reported

SECONDARY outcome

Timeframe: Within 6 months of the Index Visit (baseline)

Measured at the patient level as a binary outcome (yes/no) among high-risk patients based on presence of a scheduled palliative care appointment Outcomes were measured for patients only.

Outcome measures

Outcome measures
Measure
Usual Care
n=1004 Participants
Clinicians and patients will receive no further interventions beyond usual practice. Usual care for clinicians includes a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm. Usual Care: Individual clinicians will receive an automated weekly email detailing a weekly roster of their upcoming repeat-patient visits (Index Visit) with patients at high risk of 6-month mortality as determined by a validated machine learning prognostic algorithm. Clinicians will receive a HIPAA compliant text message on the morning of the appointment reminding them to consider a serious illness conversation with patients on the list.
Clinician Nudge
n=1179 Participants
Clinicians receive a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm as well as performance feedback compared to peers. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers.
Patient Nudge
n=997 Participants
Patients receive a nudge consisting of a normalizing message prompting patients to complete an electronic questionnaire designed to prime patients towards having an SIC. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Clinician and Patient Nudge
n=1270 Participants
Both strategies described above will be used. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Number of High Risk Patients With a Palliative Care Referral
84 Participants
94 Participants
81 Participants
97 Participants

SECONDARY outcome

Timeframe: Within 6 months of the Index Visit (baseline)

Population: Aggressive End-Of-Life Care was only assessed among the 773 decedents.

Measured at the patient level as a binary outcome (yes/no) among high-risk patients who die based on the presence of any of the following three criteria: chemotherapy within 14 days before death, hospitalization within 30 days before death, or admission to hospice 3 days or less before death Outcomes were measured for patients only.

Outcome measures

Outcome measures
Measure
Usual Care
n=162 Participants
Clinicians and patients will receive no further interventions beyond usual practice. Usual care for clinicians includes a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm. Usual Care: Individual clinicians will receive an automated weekly email detailing a weekly roster of their upcoming repeat-patient visits (Index Visit) with patients at high risk of 6-month mortality as determined by a validated machine learning prognostic algorithm. Clinicians will receive a HIPAA compliant text message on the morning of the appointment reminding them to consider a serious illness conversation with patients on the list.
Clinician Nudge
n=227 Participants
Clinicians receive a nudge consisting of targeted text messages identifying patients at high risk of predicted 6-month mortality based on a validated machine learning prognostic algorithm as well as performance feedback compared to peers. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers.
Patient Nudge
n=157 Participants
Patients receive a nudge consisting of a normalizing message prompting patients to complete an electronic questionnaire designed to prime patients towards having an SIC. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Clinician and Patient Nudge
n=227 Participants
Both strategies described above will be used. Clinician Nudge: Clinicians will receive the usual care weekly email and text message described above under Usual Care. In addition, embedded in the weekly email, clinicians will receive performance feedback information detailing their documented SICs relative to those documented by peers. Patient Nudge: Ahead of the Index Visit, high risk patients as identified by the prognostic algorithm will receive a nudge via personal text message and email consisting of a normalizing message prompting patients with a personalized link to a short electronic questionnaire on SIC topics.
Number of Decedent High Risk Patients Who Received Aggressive End-Of-Life Care
76 Participants
95 Participants
62 Participants
97 Participants

Adverse Events

Usual Care

Serious events: 0 serious events
Other events: 0 other events
Deaths: 162 deaths

Clinician Nudge

Serious events: 0 serious events
Other events: 0 other events
Deaths: 227 deaths

Patient Nudge

Serious events: 0 serious events
Other events: 0 other events
Deaths: 157 deaths

Clinician and Patient Nudge

Serious events: 0 serious events
Other events: 0 other events
Deaths: 227 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Dr. Samuel Takvorian

Abramson Cancer Center

Phone: 267-438-8269

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place