Patient Perspectives of an Automated Falls-Risk Screening and Referral Tool in the Emergency Depa… (NCT05846685) | Clinical Trial Compass
CompletedNot Applicable
Patient Perspectives of an Automated Falls-Risk Screening and Referral Tool in the Emergency Department (ED)
United States10 participantsStarted 2022-02-22
Plain-language summary
The purpose of the overall study to evaluate implementation-related outcomes of a falls-risk clinical decision support (CDS) system using patient electronic health records (EHR) data to automatically screen and identify older adult ED patients at high risk of future falls and allowing ED clinicians to place referral orders to the UW Health Mobility and Falls clinic. This CDS tool has already been implemented at the UWHC ED, and will be additionally implemented at The American Center and Swedish American Hospital EDs (all QI initiatives) over the next two years. This study involves engaging a sample of referred patients from each site to gather their perspectives on the delivery of the referral in the ED, their experiences in making and completing appointments at the Falls Clinic (if applicable), and perceived benefits of the intervention overall.
Who can participate
Age range
65 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* ED patients identified by the automated system as being high-risk of future falls, and subsequently referred to the UW Health Mobility and Falls Clinic by the ED provider at discharge.
* English-speaking
* Reliable access to a working telephone and can accept incoming phone calls
* For In-person interviews in the ED:
* ED patients age 65 and older in the emergency department for any reason who are identified as likely to be discharged by their clinical team.
Exclusion Criteria:
* Incarcerated or in police custody
* Lacks capacity to consent
* Unable to hear or speak on the telephone, even with the use of assistive devices
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Qualitative Measure to Summarize Reasons Patients Did Not Schedule or Attend Appointments Based on Referral