Optimization of Outpatient Surgery at the CHUM Using the LeoMed Telecare Platform (MEET-OS)

Centre hospitalier de l'Université de Montréal (CHUM)

Status: Completed

Conditions: Quality of Life; Patient Satisfaction; Surgery--Complications

Treatments: Other: Complete LeoMed application; Other: Basic LeoMed application

Study type: Interventional

Funder types: Other

Identifiers

NCT04948632

21.110

Details and patient eligibility

About

The main objective of this study is to carry out a medico-economic evaluation of a new platform for outpatient surgical care, by comparing the effectiveness and utility of the deployment of this trajectory on patients and the health system to a control group.

Full description

Outpatient surgery allows the patient to leave the hospital on the day of their surgery and thus avoid complete hospitalization. There are many advantages to this practice. Patients can remain in the comfort of their own home with the support of their family caregivers and the healthcare system can avoid incurring additional hospital costs and redirect these savings to other critical needs. However, despite the advantages of outpatient surgery, the tools and measures currently in place to supervise the preparation before the operation and the follow-up after the operation are suboptimal.

Following surgery, adverse events such as moderate to severe pain, nausea/vomiting, infection and bleeding from the operative site are very rarely sought out and detected by healthcare facilities. However, these are the main causes of readmissions or emergency consultations for patients.

In order to optimize the care offer, the anesthesiology department, the innovation and artificial intelligence center of the CHUM as well as the Quebec telecare platform LeoMed have joined forces in order to offer, through a health application, follow-up and personalized support for patients undergoing outpatient surgery.

The investigators believe that the integration of this platform in the course of care will allow early diagnosis of the main postoperative complications and therefore, prevent calls to the Health-Info line, emergency room returns, as well as readmissions or unscheduled postoperative consultations.

A patient-as-partner approach has been chosen in the initial phase, where 12 patients having had an outpatient surgery less than 6 months ago, will be recruited to test the platform. Another 12 patients, scheduled to undergo an outpatient surgery, will test the optimized support and follow up application. Their feedback will help to correct and/or improve the platform, if necessary.

Enrollment: 1,000 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients over 18 years old undergoing elective outpatient surgery under general or regional anesthesia
• Internet access for the patient or their caregiver from home
• Written, oral and spoken comprehension of French or English

Exclusion criteria

• Patient's or caregiver's inability to learn and use digital technologies
• Conversion of outpatient to inpatient hospitalization on the day of surgery
• Patient's refusal.

Trial design

Primary purpose: Supportive Care

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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1,000 participants in 2 patient groups, including a placebo group

Complete LeoMed application

Active Comparator group

Description:

LeoMed application with integrated artificial intelligence

Treatment:

Other: Complete LeoMed application

Basic LeoMed application

Placebo Comparator group

Description:

LeoMed application without artificial intelligence

Treatment:

Other: Basic LeoMed application