- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05846685
Patient Perspectives of an Automated Falls-Risk Screening and Referral Tool in the Emergency Department (ED)
Preventing Future Falls in Older Adult ED Patients: Evaluating the Implementation and Effectiveness of a Novel Automated Screening and Referral Intervention - Patient Perspectives
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The aim of this study is to assess perceptions and implementation-related outcomes for the automated screening and referral tool based upon the experiences of older adult patients receiving the referral (or who could be eligible for the referral) at each of the three ED sites, including identifying reasons why some referred patients do not schedule or attend appointments as a result of the referral order.
Phone interviews will be conducted with a minimum of 12 referred patients per each of the 3 ED sites, approximately half of whom scheduled and completed a Falls Clinic visit, and half whom declined or did not complete an appointment. Interview questions include a mix of verbally-delivered Likert-type rating scales and open-ended questions evaluating their experience of the referral process (e.g., verbal communication, written information received), appropriateness of the CDS screening tool, and perceived value of the intervention for preventing falls.
Additionally, in person interviews will be conducted with a minimum of 10 patients each at the American Center and Swedish American Hospital sites prior to implementation of the intervention at these sites. These will be conducted among patients aged 65 and older who are in the emergency department and likely to be discharged. These interviews will be aimed at collecting patient input necessary to adapt the design of the intervention at these sites. Interview questions will include open-ended questions evaluating the perceived value of the the intervention for preventing falls as well as potential barriers and facilitators to completing the intervention at these sites. Interviews will be conducted by ED staff trained and experienced in research data collection in the ED to minimize interruption of clinical workflows. In consultation with provider teams, interviewers will time interviews to avoid clinical interventions, and will pause research activities while any clinical care is taking place.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Illinois
-
Rockford, Illinois, United States, 61008
- Swedish American Emergency Department
-
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Wisconsin
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Madison, Wisconsin, United States, 53718
- The American Center Emergency Department
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Madison, Wisconsin, United States, 53792
- UWHC Emergency Department
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
ED Patients Scheduled and Completed Falls Clinic Visit
Patients age 65 and Older 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
|
Collecting perceptions about automated falls-risk screening and referral tool
|
|
ED Patients Declined or Did Not Complete Falls Clinic Visit
Patients age 65 and Older 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
|
Collecting perceptions about automated falls-risk screening and referral tool
|
|
ED Patients Likely to be Discharged
Patients aged 65 and older who are in the emergency department and likely to be discharged.
|
Interviews will be aimed at collecting patient input necessary to adapt the design of the intervention at these sites.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Qualitative Measure to Summarize Reasons Patients Did Not Schedule or Attend Appointments Based on Referral
Time Frame: up to 30 months
|
Participant responses will be coded to identify themes.
Participant counts will be reported.
|
up to 30 months
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Brian W Patterson, MD, MPH, University of Wisconsin, Madison
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 2021-0744
- SMPH/EMERG MED (Other Identifier: UW Madison)
- 1K08HS024558 (U.S. AHRQ Grant/Contract)
- 1R18HS027735 (U.S. AHRQ Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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