Post-Discharge Follow-up Appointment Scheduling

Appointments and Schedules Clinical Trial

Official title: Post-Discharge Follow-up Appointment Scheduling

Status Recruiting

Clinical Trial Summary

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.

Clinical Trial 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 ;

Related Conditions & MeSH terms

• Appointments and Schedules

• NCT number: NCT06387576
• Study type: Interventional
• Source: University of California, Los Angeles
• Contact: Richard Leuchter, MD
• Phone: 310-270-3772
• Email: rleuchter@mednet.ucla.edu
• Status: Recruiting
• Phase: N/A
• Start date: April 8, 2024
• Completion date: June 2024