Pilot Study of Patient Navigation for Kidney Stone Patients After ED Visits
2 other identifiers
interventional
31
1 country
1
Brief Summary
Patients who visit the emergency department for kidney stones are sometimes referred to urology for follow-up care but never complete that visit. Missing follow-up appointments can lead to worse outcomes, including recurrent pain, infection, or surgery. Research shows that patients who are socially or economically at risk (such as those with public insurance, lower income, or limited English proficiency) are more likely to experience these care gaps. 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jul 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
January 2, 2026
CompletedFirst Posted
Study publicly available on registry
January 7, 2026
CompletedStudy Start
First participant enrolled
July 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2026
Study Completion
Last participant's last visit for all outcomes
July 1, 2026
April 8, 2026
April 1, 2026
Same day
January 2, 2026
April 6, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Completion of an outpatient urology follow-up visit within 12 weeks of emergency department discharge, assessed through review of the electronic health record.
From enrollment to the end of intervention at 12 weeks
Secondary Outcomes (1)
Acceptability of the Patient Navigation Intervention Measured by the Patient Navigation Process and Outcomes Measure (PNPOM)
From enrollment to the end of treatment at 12 weeks
Study Arms (1)
Patient Navigation Intervention
EXPERIMENTALInterventions
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
You may qualify if:
- Age ≥ 18 years
- 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
You may not qualify if:
- Age \< 18 years
- Unable to provide informed consent
- Non-English-speaking
- No outpatient urology referral placed from the Emergency Department
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UCSF
San Francisco, California, 94110, United States
Related Publications (2)
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
BACKGROUNDSuarez 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.
PMID: 41405624BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
David Bayne, MD
University of California, San Francisco
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 2, 2026
First Posted
January 7, 2026
Study Start (Estimated)
July 1, 2026
Primary Completion (Estimated)
July 1, 2026
Study Completion (Estimated)
July 1, 2026
Last Updated
April 8, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share