Improving Gap Closure Rates Using a Predictive Model

NYU Langone Health

Status: Completed

Conditions: Appointments and Schedules; Communication

Treatments: Other: Participant outreach

Study type: Observational

Funder types: Other

Identifiers

NCT04806984

QI-CIN Gaps Predictive Model

Details and patient eligibility

About

NYU Langone Health outreaches to patients to remind them to schedule their appointments by phone or MyChart message.The proposed study will test different outreach methods using a predictive risk model. The goal is to increase gap closure rate by the end of the year.

Enrollment: 34,896 patients

Sex: All

Ages: 3+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients in the NYU Langone network who are due for gaps in care.

Exclusion criteria

• Patients in the NYU Langone network are not due for gaps in care.

Trial design

34,896 participants in 4 patient groups

Call center phone call

Description:

Participants randomized to this arm will receive a phone call from the call center reminding them to schedule their appointments.

Treatment:

Other: Participant outreach

No call center phone call

Description:

Participants randomized to this arm will not receive a phone call from the call center reminding them to schedule their appointments.

MyChart message

Description:

Participants randomized to this arm will receive an automated MyChart message reminding them to schedule their appointments.

Treatment:

Other: Participant outreach

No MyChart message

Description:

Participants randomized to this arm will not receive an automated MyChart message reminding them to schedule their appointments.