Comparing the Effectiveness of Different Appointment Reminder Methods

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

Penn Medicine is continually trying to optimize operations and decrease number of patients who do not show up for their appointments. This has included new changes to text message reminders, implemented as usual care. At a baseline, less than 75% of scheduled outpatient appointments are actually completed. This results in longer wait times and decreased access for patients and operational inefficiencies. The goal of the project is to test whether supplementing standard text message appointment reminders with targeted outreach using an automated phone call to patients with increased risk of not showing up for their appointment (\>15% per Epic's Risk of Patient No-Show Model) reduces no show rate (the study's primary outcome) and increases patient appointment completion rate (% of appointments that were completed during scheduled appointment time, a secondary outcome). Participants will be randomized in a 1:1 ratio to receive either the standard text message or standard text message plus the automated caller. Eligible patients have already consented to receiving text message reminders from Penn Medicine and must have an in-person appointment scheduled during the study period. The Access Optimization Group at Penn will be monitoring the randomization and outcomes reporting of whether a patient confirmed, cancelled, or no showed at the scheduled appointment. All eligible outpatient appointments over a two week period will be included in this operational evaluation. The Access Optimization Group will then make a decision on which approach to implement as usual care based on the results of this operational evaluation.

About this trial record page

What this page shows

Public field values for ClinicalTrials.gov record NCT06767423, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.

What this page does not do

No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.

Where the data comes from

Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.

Last refresh

Last update posted Apr 3, 2025 · Synced Sep 2, 2026

Related: full search, browse by condition, browse by drug or therapy, browse by sponsor, browse by U.S. city.