Apps and Assessments for Patient Discharge Readiness

AB
Overseen ByAlexandra Barabanova
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: University of Illinois at Chicago
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial explores new methods to determine when patients are ready to go home after surgery. It evaluates custom apps, brain function tests, and clinical check-ups to identify the best approach for assessing PACU Discharge Readiness, which determines if a patient can leave the Post-Anesthesia Care Unit. Patients undergoing surgery with a short hospital stay may be suitable, particularly if they speak English and have no sensory or brain issues. The trial aims to find better ways to ensure patients can leave the hospital safely. As an unphased trial, it offers patients a unique opportunity to contribute to innovative research that could improve post-surgery recovery processes.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications.

What prior data suggests that these apps and assessments are safe for determining PACU discharge readiness?

Research has shown that using apps and tests to determine when patients can leave the recovery room after surgery is generally safe. For example, studies have used these tools to predict when patients are ready to go home, focusing on ensuring stability by checking breathing, blood flow, and pain levels.

The technology, such as apps and tests, does not involve drugs or medical procedures, reducing risks compared to trials with new medications. No serious side effects have been reported from using these tools to assess patient readiness for discharge. Overall, current research indicates that these methods are well-tolerated.12345

Why are researchers excited about this trial?

Researchers are excited about the PACU Discharge Readiness protocol because it aims to streamline the process of determining when patients are ready to leave the post-anesthesia care unit. Unlike traditional methods that rely heavily on subjective assessments by healthcare providers, this approach incorporates digital tools and neuro assessments to provide more objective and consistent evaluations. This could potentially reduce the time patients spend in recovery, improve patient outcomes by preventing premature discharges, and enhance the overall efficiency of hospital operations. By integrating technology into patient care, this method offers a more precise and data-driven approach to patient discharge readiness.

What evidence suggests that these apps and assessments are effective for determining PACU discharge readiness?

This trial will evaluate the effectiveness of various tools and assessments for determining patient discharge readiness. Studies have shown that specific tools can make the process of checking if patients are ready to leave the recovery area after surgery more efficient. For example, one method accurately predicted patient readiness for discharge within 15 minutes in 86% of cases, based on staff evaluations. Scoring systems like the Modified Aldrete and PADSS assess factors such as a patient's ability to walk and the presence of nausea, pain, or bleeding to determine discharge readiness. These tools and assessments help ensure patients go home safely and at the right time.13678

Are You a Good Fit for This Trial?

This trial is for adults (18+) scheduled for surgery with a planned 23-hour hospital stay. Participants must speak English and not have major sensory or neurological problems that would make it hard to take part.

Inclusion Criteria

I am scheduled for surgery and can be contacted before my operation.
I speak English fluently and have no sensory or neurological issues affecting participation.
I am 18 or older and scheduled for surgery with a planned 23-hour hospital stay.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

1 week

Assessment

Participants undergo neuropsychological testing and use custom-created apps to evaluate PACU discharge readiness

24 hours

Follow-up

Participants are monitored for safety and effectiveness after assessment

1 week

What Are the Treatments Tested in This Trial?

Interventions

  • PACU Discharge Readiness

Trial Overview

The study is testing whether custom-made apps, memory and thinking tests, and standard clinical assessments can help decide if patients are ready to safely go home after surgery.

How Is the Trial Designed?

1

Treatment groups

Experimental Treatment

Group I: Neuro Assessment GroupExperimental Treatment1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

University of Illinois at Chicago

Lead Sponsor

Trials
653
Recruited
1,574,000+

Citations

Post-Anesthesia Recovery: A Comprehensive Review of ...

The Sampe, Modified Aldrete, and White scoring systems all assess patient readiness for discharge from the post-anesthesia care unit (PACU).

A Pre‐Post Study Using Propensity Score Matching - PMC

Discharge management and workflow efficiency in a postanaesthesia care unit (PACU) can be improved with specific tools assessing discharge readiness.

Post-Anesthesia Care Unit (PACU) readiness predictions ...

For binary classification (discharge within 15 min or later) per staff evaluations, RF achieved an accuracy of 0.86 (99.5% CI: 0.82–0.90) and ...

PACU Discharge Criteria

PADSS adds evaluation of ambulation, nausea/vomiting, pain, and bleeding2 (Table 2). The Aldrete score can be used to evaluate initial patient ...

SESLHD Post Anaesthetic Care Unit (PACU) Discharge ...

The PACU nurse will perform a patient assessment and complete all documentation in readiness for discharge on approved methods of NSW Ministry ...

Post-Anesthesia Care Unit: Structure, Assessment, and ...

Patient assessment in the PACU follows an airway, breathing, circulation, neurologic, and pain-focused approach. Recovery is generally divided ...

Using Artificial Intelligence Algorithms in Predicting ...

This study used various AI machine learning modules to predict PACU patients' readiness for discharge within 15-minute intervals. The AI machine learning ...

Apps and Assessments for Patient Discharge Readiness

Assessment. Participants undergo neuropsychological testing and use custom-created apps to evaluate PACU discharge readiness. 24 hours. Follow-up. Participants ...