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Improving Gap Closure Rates Using a Predictive Model

Improving Gap Closure Rates Using a Predictive Model

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04806984
Enrollment
34896
Registered
2021-03-19
Start date
2021-02-09
Completion date
2022-02-27
Last updated
2023-03-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Appointments and Schedules, Communication

Brief summary

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.

Interventions

OTHERParticipant outreach

Participants in the experimental arms will receive a call center phone call or MyChart message to remind them to schedule their appointments.

Sponsors

NYU Langone Health
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
3 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frame
Gap closure rate1 year

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026