Hybrid III Trial of Automated Referral to Comprehensive Geriatric Assessment for Frail Older Surgical Patients
Leveraging the Learning Health System to Enhance Age-Friendly Surgical Care: A Hybrid Type III Randomized Trial to Optimize Preoperative Readiness
3 other identifiers
interventional
90
1 country
1
Brief Summary
The goal of this observational study is to learn about automated referrals to Perioperative Optimization of Senior Health (POSH). The main question it aims to answer is:
- Do automated referrals to POSH increase the number of people who attend the clinic?
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Nov 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 17, 2026
CompletedFirst Posted
Study publicly available on registry
September 23, 2026
CompletedStudy Start
First participant enrolled
November 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2027
Study Completion
Last participant's last visit for all outcomes
October 1, 2027
September 29, 2026
September 1, 2026
11 months
September 17, 2026
September 24, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Number of participants who attend POSH
The number of eligible participants who attend POSH will be compared across arms.
90 days
Number of surgeons who refer to POSH
The number of surgeons who refer patients to POSH will be compared to those in the same clinical departments for both arms.
90 days
Secondary Outcomes (4)
Anticholinergic Burden Score
90 days
Documentation of preoperative cognitive status
90 days
Physical therapy (PT) referrals
90 days
Advanced care planning (ACP) on file
90 days
Study Arms (2)
Automated referrals
EXPERIMENTALParticipants will receive an automated referral to POSH when screened by the electronic frailty index (a clinical decision support device built into the EHR)
Usual care
ACTIVE COMPARATORParticipants will receive usual care in which surgeons can choose to directly refer patients to POSH.
Interventions
Surgeons will be notified of frailty score (as calculated using the frailty score calculator device embedded in the EHR). Surgeons can choose to refer patients directly to POSH.
Participants who screen for frailty (using the frailty score calculator device embedded in the EHR) will receive an automated referral to POSH clinic through their electronic health record.
Eligibility Criteria
You may qualify if:
- Age 80 or older
- Scheduled for an elective surgery with a planned overnight stay
- Scores indicate frailty
You may not qualify if:
- Scheduled for transplant or cardiothoracic surgery
- Undergoing emergency or urgent surgery
- POSH clinic evaluation within the past 6 months
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Wisconsin
Madison, Wisconsin, 53792, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Julia Berian
University of Wisconsin, Madison
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 17, 2026
First Posted
September 23, 2026
Study Start (Estimated)
November 1, 2026
Primary Completion (Estimated)
October 1, 2027
Study Completion (Estimated)
October 1, 2027
Last Updated
September 29, 2026
Record last verified: 2026-09
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- Scientific data will be available once the primary results are published. Data will be available indefinitely.
- Access Criteria
- Data are available on request from the principal investigator with a DUA. Supporting materials will be available on a public website that will be created for this purpose.
The researchers will share a deidentified participant-level dataset containing the information collected in this study and outcome measures, except for protected health information (PHI).