Pilot Study of Patient Navigation for Kidney Stone Patients After ED Visits
NCT ID: NCT07322172
Last Updated: 2026-01-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
31 participants
INTERVENTIONAL
2026-01-31
2026-07-31
Brief Summary
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This study will pilot a patient navigation program designed to help patients with urinary stone disease (USD) attend their scheduled urology appointments after being seen in the Emergency Department. Using an electronic health record (EHR) based prediction model developed in earlier research, patients at higher risk for being lost to follow-up will be identified and invited to participate. Each participant will be paired with a trained patient navigator who will assess barriers to care, provide support, and maintain contact for about 12 weeks.
The goal of this study is to evaluate the outcomes and feasibility of this navigation intervention. Findings will help determine whether a larger study should test if this approach improves access to care and health outcomes for patients with kidney stones.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
SUPPORTIVE_CARE
NONE
Study Groups
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Patient Navigation Intervention
Patient Navigation
The intervention consists of a patient navigation program delivered by a patient navigator over approximately 12 weeks. Participants identified as high risk for loss to follow-up after an emergency department visit for kidney stone disease will receive individualized navigation support focused on identifying and addressing barriers to urology follow-up. Navigation activities may include care coordination support, appointment scheduling guidance, health education, linkage to existing institutional or community resources (transportation assistance or insurance enrollment support), and motivational support. The patient navigator will maintain regular contact with participants through in-person, phone, or virtual encounters, and navigation activities will be documented in a secure research database. The intervention is designed to support access to recommended care and does not alter clinical treatment decisions.
Interventions
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Patient Navigation
The intervention consists of a patient navigation program delivered by a patient navigator over approximately 12 weeks. Participants identified as high risk for loss to follow-up after an emergency department visit for kidney stone disease will receive individualized navigation support focused on identifying and addressing barriers to urology follow-up. Navigation activities may include care coordination support, appointment scheduling guidance, health education, linkage to existing institutional or community resources (transportation assistance or insurance enrollment support), and motivational support. The patient navigator will maintain regular contact with participants through in-person, phone, or virtual encounters, and navigation activities will be documented in a secure research database. The intervention is designed to support access to recommended care and does not alter clinical treatment decisions.
Eligibility Criteria
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Inclusion Criteria
* Presentation to the Emergency Department with urinary stone disease
* Placement of an outpatient urology referral from the Emergency Department
* Identified as high risk for loss to follow-up based on the study's screening process
Exclusion Criteria
* Unable to provide informed consent
* Non-English-speaking
* No outpatient urology referral placed from the Emergency Department
18 Years
ALL
No
Sponsors
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National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
NIH
University of California, San Francisco
OTHER
Responsible Party
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Principal Investigators
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David Bayne, MD
Role: PRINCIPAL_INVESTIGATOR
University of California, San Francisco
Locations
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UCSF
San Francisco, California, United States
Countries
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Central Contacts
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Facility Contacts
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References
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Srirangapatanam S, Suarez P, Chi T, Neuhaus J, Stoller M, Scales S, Bayne D. EMR data enhances prediction accuracy for care delays compared to standard demographic data. Presented at: AUA 2024, San Antonio, Texas, May 3-6. Abstract MP40-08
Suarez PA, Srirangapatanam S, Leng L, Momodu MM, Neuhaus J, Bayne DB. Enhancing surgical efficiency: predicting same-day cancellations in urologic procedures. World J Urol. 2025 Dec 17;44(1):48. doi: 10.1007/s00345-025-06155-6.
Other Identifiers
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25-45298
Identifier Type: -
Identifier Source: org_study_id
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