Post-Discharge Follow-up Appointment Scheduling

April 25, 2025 updated by: Richard K. Leuchter, MD, University of California, Los Angeles
This is a prospective clinical trial evaluating whether a behaviorally informed intervention (pre-discharge iPad video scheduling) increases post-discharge primary care physician (PCP) appointment completion compared to the status-quo scheduling process (post-discharge via phone), with the ultimate goal of improving patient health outcomes.

Study Overview

Detailed Description

Among patients who are discharged from hospitals, having a PCP follow-up visit within 7 days of discharge is associated with decreased likelihood of unplanned readmissions. However, at UCLA Health, less than 60% of patients complete a PCP follow-up visit within this time period.

As part of a Department of Medicine (DOM) quality improvement initiative at UCLA Health, this trial seeks to improve the process of scheduling post-discharge PCP visits and, in turn, post-discharge PCP visit completion rates. The DOM quality team initiated and is leading this program, with the primary goal to improve the quality of post-acute care among patients. In order to rigorously assess the most effective way to improve the process of scheduling post-discharge PCP visits, the DOM quality team has partnered with the UCLA Anderson School of Management.

This study will compare two types of appointment scheduling processes:

  • the status quo scheduling process whereby a scheduler calls patients after discharge via telephone to schedule a PCP appointment.
  • an iPad-based video scheduling process whereby patients will schedule their PCP appointment before discharge via a video call with the scheduler using an in-room iPad.

Patients discharged from UCLA Health hospital rooms assigned to the control condition will go through the status quo scheduling process, and patients discharged from rooms assigned to the intervention condition will go through the iPad-based video scheduling process.

Patients who meet the following criteria will be included in the study: (1) they are discharged from a hospital room assigned to either the intervention or control condition during the intervention period; (2) their discharge is ordered on a weekday (Monday-Friday); (3) their discharge is planned before 3pm; (4) they have a UCLA PCP; (5) they are not being discharged to a skilled nursing facility (SNF), acute rehab unit (ARU), or assisted living facility (ALF). Patients will be excluded from the study who do not meet these criteria.

The target sample size is n = 150 in the treatment group. The investigators have an agreement from their field partner to run the evaluation for one month. The investigators will aim to extend the period in 2-week increments until the target sample size is reached. The investigators note that this is subject to field partner agreement. The investigators will also plan to have a check-in period with the schedulers during the first week of the intervention to assess whether any changes to the protocol or script need to occur for unforeseen logistical reasons.

Two (out of approximately ten) DOM schedulers will be trained on the new iPad-based scheduling procedure (hereafter, the "intervention schedulers"). As their time allows, the two intervention schedulers will also continue to schedule post-discharge follow-up appointments using the status quo method (phone calls) for patients who are not discharged from the intervention rooms.

Analysis Plan:

The investigators will use patient-level linear regression models with a difference-in-differences design, where the predictor variables are (1) an indicator of the treatment (vs. control) rooms, (2) an indicator of being in the intervention period (vs. three months pre-intervention or the length of the intervention period, whichever is longer), and (3) the interaction between the two indicators. If an outcome measure does not statistically significantly differ between treatment and control rooms during the pre-intervention period, the investigators will also compare the outcome measures between treatment and control patients using an OLS regression with observations from the intervention period.

Given the possibility that the two intervention schedulers might conduct some scheduling calls for patients in a control room using the status-quo scheduling process (post-discharge via phone), the investigators will conduct all primary and secondary analyses excluding patients in the control condition who were scheduled by an intervention scheduler (to minimize contamination).

In addition to primary and secondary outcome measures listed later, the investigators also plan to explore whether the patient experienced an unplanned readmission (all-cause) to the hospital within 7, 14, and 30 days. (The investigators will plan to only analyze hospital readmission data if greater than 0.1% of patients across both arms have been readmitted during each respective period.

Control variables to be included in regressions:

  • Risk for readmission score (LACE+ score)
  • Patient self-reported ethnicity
  • Scheduler fixed effects
  • Whether patient had been enrolled in intensive care coordination programs
  • Whether patient had a pre-existing PCP appointment at the time of hospital admission

Study Type

Interventional

Enrollment (Actual)

41

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • Santa Monica, California, United States, 90404
        • UCLA Santa Monica Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. they are discharged from a hospital room assigned to either the intervention or control condition during the intervention period
  2. their discharge is ordered on a weekday (Monday-Friday)
  3. their discharge is planned before 3pm
  4. they have a UCLA PCP
  5. they are not being discharged to a skilled nursing facility (SNF), acute rehab unit (ARU), or assisted living facility (ALF).

Exclusion Criteria:

Patients will be excluded from the study who do not meet the inclusion criteria

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Arm 1: Status-quo post-discharge appointment scheduling process
Eligible, assigned participants will receive the current status-quo scheduling process for their post-discharge appointment (post-discharge via phone).
Experimental: Arm 2: Pre-discharge iPad video scheduling for post-discharge appointment
Eligible, assigned participants will schedule their post-discharge appointment via a video scheduling process prior to discharge.
The iPad video scheduling process will occur prior to patient discharge from the hospital. This intervention harnesses behavioral principles, such as commitment (patient committing to scheduled appointment), social accountability (patients feeling more accountable after scheduling their appointment via the video visit), and social support (patients feeling more supported after engaging in this conversation with a scheduler via video).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Post-discharge follow-up PCP appointment completion rate within 7 days
Time Frame: Within 7 days of discharge
Binary indicator of whether the patient had a post-discharge follow-up PCP appointment
Within 7 days of discharge

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Post-discharge follow-up PCP appointment completion rate within 14 days
Time Frame: Within 14 days of discharge
Binary indicator of whether the patient had a post-discharge follow-up PCP appointment
Within 14 days of discharge
Post-discharge follow-up PCP appointment scheduling rate within 7 days
Time Frame: Within 7 days of discharge
Binary indicator of whether the patient scheduled a post-discharge follow-up PCP appointment
Within 7 days of discharge

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 8, 2024

Primary Completion (Actual)

July 2, 2024

Study Completion (Actual)

August 2, 2024

Study Registration Dates

First Submitted

April 8, 2024

First Submitted That Met QC Criteria

April 23, 2024

First Posted (Actual)

April 29, 2024

Study Record Updates

Last Update Posted (Actual)

April 30, 2025

Last Update Submitted That Met QC Criteria

April 25, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • Post-discharge Appointments

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The investigators do not plan to make any individual participant data available.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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