- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04634851
Video Home Visits for Dietary Counselling
Optimizing Dietary Habits for Kidney Stone Formers Using Telehealth Directed Individualized Nutritional Counseling
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Urolithiasis affects 1 in 11 Americans and is associated with annual health care expenditures of up to $4.5 billion. Fifty percent of stone risk can be attributed to diet and fluid intake. Modifications in sodium intake can dramatically reduce risk of kidney stone disease as determined by 24-hour urine results. Despite this understanding, dietary counseling is largely ineffective as kidney stone formers have difficulty adhering to low sodium diets. The precise reasons behind this are unknown, but it is hypothesized that socioeconomic factors such as low income and low education contribute to a lack of knowledge of, and access to, healthy alternatives to salty foods. The relationship between lithogenic diet consumption and stone disease requires a more in depth understanding of patients' home food environments, dietary habits, and perceived barriers to following a low-sodium diet. This understanding will help direct appropriate interventions to prevent recurrent stones.
Routine historic face-to-face clinic visits rapidly have been replaced with telehealth encounters with the SARS-CoV-2 pandemic. Such changes will likely remain the standard of care and will define the new "normal" for some time. This presents an opportunity to integrate robust information now available through the exponential growth of video visits with directed dietary counseling. Through video exchange with patients in their homes an abundance of previously untapped information is immediately available to healthcare providers. Smartphone video capabilities are available to most stone patients irrespective of their financial status. Images from telehealth video visits, including patient lifestyle, behaviors, resources, and home environment will give objective data as to types of food consumed regularly by patients and their capacity to prepare healthy foods at home.
The following specific aims are proposed: 1) Assess which data from video visits are most informative for identifying how to counsel patients to reduce patient sodium intake, and 2) Administer virtual home visit-informed individualized dietary counseling to stone formers and compare this to survey-informed dietary counseling. 24-hour urinary sodium results and patient dietary sodium knowledge and perceptions will be monitored over 6 months. This study will leverage the rapid growth of telehealth medical visits as a consequence of the SARS-CoV-2 pandemic to better understand and improve food consumption behavior of recurrent stone formers.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: David Bayne, MD, MPH
- Phone Number: 4153532200
- Email: david.bayne@ucsf.edu
Study Contact Backup
- Name: Marshall Stoller, MD
- Phone Number: 4153532200
- Email: marshall.stoller@ucsf.edu
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patients known to have a history of calcium-based kidney stone disease verified by stone analysis (stones containing calcium oxalate(CaOx) or calcium phosphate(CaP) on stone analysis), or patients with a diagnosis of kidney stone disease verified by imaging (computerized tomography, ultrasound, or plain film/x-ray) and a prior 24-hour urine results with elevated SS CaOx>8 or SS CaP>1.25.
- Patients 18 years or older.
- Patients with a smartphone, internet capable tablet, or video capable laptop.
- Patients with a household member with a smartphone, internet capable tablet, or video capable laptop.
Exclusion Criteria:
- Pregnant patients.
- Patients unable to produce a urine sample.
- Patients who have previous surgical reconstruction involving incorporation of bowel in the urinary tract.
- Patients with known sodium regulation abnormalities (adrenal tumors, pituitary tumors, glucocorticoid deficiency, hypothyroidism, syndrome of inappropriate antidiuretic hormone secretion, nephrotic syndrome, severe congestive heart failure, severe hepatic impairment, etc.).
- Patients on medications significantly affecting urinary sodium levels (lithium, amphotericin, vasopressin V2-receptor antagonists, lactulose, for example).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention
These participants will get virtual home visits with the urologist and dietitian
|
These participants will have a tailored evaluation of dietary choices based on their home dietary environment (refrigerator, pantry, etc).
This will be conducted over video exchange.
|
|
No Intervention: Control
These participants will get standard urologist and dietitian counseling
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Urinary sodium
Time Frame: baseline, 12 weeks, 24 weeks
|
24hr urinary sodium, mean change in mmol/24hrs of excreted urinary sodium from baseline over 24 weeks (Three time points will be recorded: baseline, after 12 weeks, after 24 weeks.
Outcome will be mean change from baseline.
We will take the average of change from baseline at 12 weeks and change from baseline at 24 weeks)
|
baseline, 12 weeks, 24 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Food Frequency Questionnaire (FFQ)
Time Frame: baseline, 12 weeks, 24 weeks
|
Change in response to NutritionQuest® block sodium screener Food Frequency Questionnaire (FFQ), (Three points will be recorded: baseline, after 12 weeks, after 24 weeks.
Outcome will be change from baseline over time.
We will look specifically for a reduction in self reported weekly consumption of high sodium foods including soups, pizza, hot dogs, lunch meets, table salt, cooking salt, etc. Results will be noted for change from baseline at 12 weeks and at 24 weeks)
|
baseline, 12 weeks, 24 weeks
|
|
Short Sodium Knowledge Survey (SKSS)
Time Frame: baseline, 12 weeks, 24 weeks
|
Change in response to Short Sodium Knowledge Survey (SKSS), (Three points will be recorded: baseline, after 12 weeks, after 24 weeks.
Outcome will be change from baseline over time.
We will look specifically for a an increased frequency in accurate identification of high sodium foods and accurate identification of dietary sodium intake recommendations.
Results will be noted for change from baseline at 12 weeks and at 24 weeks)
|
baseline, 12 weeks, 24 weeks
|
Collaborators and Investigators
Investigators
- Principal Investigator: David Bayne, MD, MPH, University of California, San Francisco
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
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
Additional Relevant MeSH Terms
Other Study ID Numbers
- UCSFUroVV
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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.
Clinical Trials on Diet Habit
-
University of Rhode IslandCompletedDiet Modification | Diet HabitUnited States
-
University of ReadingCompletedDiet Modification | Diet, Healthy | Diet HabitUnited Kingdom
-
NewGiza UniversityNot yet recruiting
-
The University of Tennessee, KnoxvilleCompleted
-
NYU Langone HealthCompletedDiet HabitUnited States
-
University of ReadingUniversity of PlymouthEnrolling by invitation
-
NYU Langone HealthNational Institute on Aging (NIA)Completed
-
The University of Tennessee, KnoxvilleCompleted
-
University of California, DavisNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK); University...Completed
Clinical Trials on Virtual home visits
-
Children's Hospital of PhiladelphiaNational Institutes of Health (NIH); Children's Hospital Medical Center, CincinnatiCompletedCongenital Heart Disease | Post Cardiac SurgeryUnited States
-
University of Colorado, DenverGilead SciencesCompletedHIV Infections | Sexually Transmitted InfectionsUnited States
-
Ghana Health ServicesUniversity of Warwick; Ellembelle District Health Directorate GhanaCompletedPregnant Women | Home VisitsGhana
-
London School of Hygiene and Tropical MedicineInstitute of Child Health; Kintampo Health Research Centre, GhanaCompleted
-
Arizona State UniversityCompleted
-
University of Alabama at BirminghamNational Institute of Mental Health (NIMH); University of Michigan; University... and other collaboratorsCompleted
-
Umeå UniversityMinistry of Health and Social Affairs, SwedenCompletedPrevention | House CallsSweden
-
University of Sao PauloGrand Challenges Canada; Fundaçao Maria Cecilia Souto VidigalNot yet recruiting
-
Swiss Tropical & Public Health InstituteHarvard University; Universidad Peruana Cayetano Heredia; ETH Zurich (Switzerland)RecruitingChild DevelopmentPeru, Switzerland