Kidney StoneNCT04438551
Software Application for Low-Sodium Diet Trial (SALT)
A study testing Standard dietary counseling and Mobile app in people with Kidney Stone and Hypernatriuria, run by University of Rochester at 1 site in United States.
Trial summary
This a single-center prospective randomized controlled trial. Subjects will be assigned to the standard of care dietary recommendations for a low sodium diet (LSD) vs. the standard of care dietary recommendations for a low sodium diet plus a mobile application that analyzes sodium content of shopping lists that are… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Kidney Stone, Hypernatriuria
- What is being tested?
- Standard dietary counseling and Mobile app
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 0 participants
- Where
- 1 siteUnited States
- Study dates
- 12 Feb 2021to Dec 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Male and female adults aged 18 or greater and any race/ethnicity
- Diagnosis of Kidney Stone Disease (KSD) within previous 6 months via:
- Surgical procedure for KSD -- OR
- Imaging demonstrating KSD (abdominal xray or CT scan)
- Diagnosis of hypernatriuria (elevated urinary sodium >150mmol/d) on 24-hour urine collection within previous 6 months
- Mobile phone with iOS
Show all 9Show fewer
- Working email address
- Food purchased at Wegmans grocery stores in the Rochester area during the study period
- Willingness to participate and able to provide informed consent
Who cannot join
- Pregnancy
- Current use of medications prescribed for prevention of KSD
- Current prescription of low sodium diet due to another medical condition
- Inability or unwillingness to use mobile application
- Do not participate in grocery shopping
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Software Application for Low-Sodium Diet Trial (SALT): A Pilot Study
This a single-center prospective randomized controlled trial. Subjects will be assigned to the standard of care dietary recommendations for a low sodium diet (LSD) vs. the standard of care dietary recommendations for a low sodium diet plus a mobile application that analyzes sodium content of shopping lists that are created prior to shopping trips to the grocery store over an 8-week study period. An initial pilot phase will be done to ensure adequate percentage of subjects are completing the study in the intervention group and that adequate data is being collected.
Read the detailed description
The study will be designed as a single-center prospective randomized controlled trial. Subjects will be assigned to the standard of care dietary recommendations handout vs a mobile application that analyzes sodium content of shopping lists that are created prior to shopping trips to the grocery store. The intervention will be administered for 8 weeks. The trial will be split into two phases, 1) Pilot phase, and 2) Trial phase. Once we have enrolled 20 subjects in the intervention arm, we will analyze whether an appropriate percentage of subjects have completed the study and adequate data is being collected. At the end of the trial, outcomes will be measured as follows:
- Mean change in score on a Knowledge of Low Sodium Diet validated questionnaire completed at baseline and at the end of the study (primary outcome) -- The minimum and maximum scores are 0 and 26, respectively. A higher score indicates a better knowledge of LSD and we hypothesize that use of the software application will result in a higher score on the questionnaire.
- Mean change in urinary sodium measured on two baseline 24hr collections and two end of study 24hr collections (primary outcome) -- We hypothesize that an always-available application that helps guide subjects in grocery choices will decrease the 24hr sodium level compared to the control group
- Within-group assessment of how often the Healthcart application is used to create shopping carts and recording of changes in shopping cart sodium score over the study period (secondary outcome) -- Healthcare interventions delivered via mobile applications are quite novel at this time and the data regarding uptake and usage is limited. These outcome measures will add to this body of data.
- Clinical data (exploratory outcomes)
- Conditions
- Kidney Stone, Hypernatriuria
- Being tested
- Standard dietary counseling, Mobile app
- Keywords
- Kidney stone, Low sodium diet, Mobile health app, Stone prevention, Behavioral modification
- Medical subject headings
- Kidney Calculi
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Standard dietary counselingBehavioural
Subjects will be given a low sodium diet handout with counseling, complete a validated questionnaire on low sodium foods, and complete a 24-hr urine collection.
Mobile appBehavioural
Subjects will be given a low sodium diet handout with counseling, complete a validated questionnaire on low sodium foods, and complete a 24-hr urine collection. Subjects will be given a mobile app to build grocery lists where the sodium level will be recorded and tracked in the app.
| Study group | Role | What they receive |
|---|---|---|
| Standard dietary counseling | Active comparator | Subjects will be given the standard low sodium diet handout with counseling, complete a validated low sodium questionnaire, and a 24-hr urine collection. Receives: Behavioral: Standard dietary counseling |
| Standard dietary counseling plus mobile app | Experimental | Subjects will be given the standard low sodium diet handout with counseling, complete a validated low sodium questionnaire, and a 24-hr urine collection. Subjects will use a mobile app to build their shopping lists prior to grocery shopping. Receives: Behavioral: Standard dietary counseling; Behavioral: Mobile app |
What is being measured
The primary outcome is the main question the study is designed to answer.
Mean change in score of Knowledge of Low Sodium Diet Questionnaire
Subjects will complete a low sodium diet validated questionnaire, score range from 0 to 26, higher score indicates better knowledge of role of sodium in diet and relationship of sodium to certain foods.
Measured: Baseline to 8 weeks
Mean change in twenty four hour urinary sodium levels
Urinary sodium levels measured by collecting two 24-hour urine samples at pre-study and 8 weeks. The two 24-hr samples will be averaged to get a single urinary sodium level at each time point, the change will be recorded for each subject and the mean and standard deviation for the intervention and control groups will be compared
Measured: Baseline to 8 weeks
Secondary outcomes (2)
Exploratory within-group assessment of application usage in the intervention group
Healthcare interventions delivered via mobile applications are quite novel at this time and the data regarding uptakes and usage is limited. These outcome measures will add to this body of data.
We will record:
- number of shopping carts created
Measured: Baseline to 8 weeks
Exploratory within-group assessment of application usage in the intervention group
Healthcare interventions delivered via mobile applications are quite novel at this time and the data regarding uptakes and usage is limited. These outcome measures will add to this body of data.
We will record:
- number of changes made due to suggestions offered by the application
Measured: Baseline to 8 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Jun 2020
- Study start12 Feb 2021
- Primary completionDec 2024 (estimated)
- Study completionDec 2024 (estimated)
Why it stopped: Study is on hold until pilot study is completed
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (18)Papers the sponsor has linked to this study.
- Other trials for Kidney StoneStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Single-center prospective randomized controlled trial
- Masking
- None (open label)
- Enrolment
- 0 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Rochester
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Rajat Jain, University of Rochester
- Investigators
- Rajat Jain, MD, Principal investigator, University of Rochester
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04438551
- Sponsor's protocol ID
- 4979
- Status last verified
- Aug 2023
- First submitted
- 16 Jun 2020
- Last updated
- 16 Aug 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Pearle MS, Goldfarb DS, Assimos DG, Curhan G, Denu-Ciocca CJ, Matlaga BR, Monga M, Penniston KL, Preminger GM, Turk TM, White JR; American Urological Assocation. Medical management of kidney stones: AUA guideline. J Urol. 2014 Aug;192(2):316-24. doi: 10.1016/j.juro.2014.05.006. Epub 2014 May 20.
PubMed 24857648Friedlander JI, Antonelli JA, Pearle MS. Diet: from food to stone. World J Urol. 2015 Feb;33(2):179-85. doi: 10.1007/s00345-014-1344-z. Epub 2014 Jun 18.
PubMed 24938177Penniston KL. The nutrition consult for recurrent stone formers. Curr Urol Rep. 2015 Jul;16(7):47. doi: 10.1007/s11934-015-0518-6.
PubMed 26025494Wertheim ML, Nakada SY, Penniston KL. Current practice patterns of urologists providing nutrition recommendations to patients with kidney stones. J Endourol. 2014 Sep;28(9):1127-31. doi: 10.1089/end.2014.0164. Epub 2014 Jun 30.
PubMed 24846196Kitchin B. Nutrition counseling for patients with osteoporosis: a personal approach. J Clin Densitom. 2013 Oct-Dec;16(4):426-31. doi: 10.1016/j.jocd.2013.08.013. Epub 2013 Sep 25.
PubMed 24075239Ravasco P, Monteiro-Grillo I, Camilo M. Individualized nutrition intervention is of major benefit to colorectal cancer patients: long-term follow-up of a randomized controlled trial of nutritional therapy. Am J Clin Nutr. 2012 Dec;96(6):1346-53. doi: 10.3945/ajcn.111.018838. Epub 2012 Nov 7.
PubMed 23134880Franz MJ, Boucher JL, Evert AB. Evidence-based diabetes nutrition therapy recommendations are effective: the key is individualization. Diabetes Metab Syndr Obes. 2014 Feb 24;7:65-72. doi: 10.2147/DMSO.S45140. eCollection 2014.
PubMed 24591844Galdas P, Fell J, Bower P, Kidd L, Blickem C, McPherson K, Hunt K, Gilbody S, Richardson G. The effectiveness of self-management support interventions for men with long-term conditions: a systematic review and meta-analysis. BMJ Open. 2015 Mar 20;5(3):e006620. doi: 10.1136/bmjopen-2014-006620.
PubMed 25795688Minich DM, Bland JS. Personalized lifestyle medicine: relevance for nutrition and lifestyle recommendations. ScientificWorldJournal. 2013 Jun 26;2013:129841. doi: 10.1155/2013/129841. Print 2013.
PubMed 23878520Murray CJ, Atkinson C, Bhalla K, Birbeck G, Burstein R, Chou D, Dellavalle R, Danaei G, Ezzati M, Fahimi A, Flaxman D, Foreman, Gabriel S, Gakidou E, Kassebaum N, Khatibzadeh S, Lim S, Lipshultz SE, London S, Lopez, MacIntyre MF, Mokdad AH, Moran A, Moran AE, Mozaffarian D, Murphy T, Naghavi M, Pope C, Roberts T, Salomon J, Schwebel DC, Shahraz S, Sleet DA, Murray, Abraham J, Ali MK, Atkinson C, Bartels DH, Bhalla K, Birbeck G, Burstein R, Chen H, Criqui MH, Dahodwala, Jarlais, Ding EL, Dorsey ER, Ebel BE, Ezzati M, Fahami, Flaxman S, Flaxman AD, Gonzalez-Medina D, Grant B, Hagan H, Hoffman H, Kassebaum N, Khatibzadeh S, Leasher JL, Lin J, Lipshultz SE, Lozano R, Lu Y, Mallinger L, McDermott MM, Micha R, Miller TR, Mokdad AA, Mokdad AH, Mozaffarian D, Naghavi M, Narayan KM, Omer SB, Pelizzari PM, Phillips D, Ranganathan D, Rivara FP, Roberts T, Sampson U, Sanman E, Sapkota A, Schwebel DC, Sharaz S, Shivakoti R, Singh GM, Singh D, Tavakkoli M, Towbin JA, Wilkinson JD, Zabetian A, Murray, Abraham J, Ali MK, Alvardo M, Atkinson C, Baddour LM, Benjamin EJ, Bhalla K, Birbeck G, Bolliger I, Burstein R, Carnahan E, Chou D, Chugh SS, Cohen A, Colson KE, Cooper LT, Couser W, Criqui MH, Dabhadkar KC, Dellavalle RP, Jarlais, Dicker D, Dorsey ER, Duber H, Ebel BE, Engell RE, Ezzati M, Felson DT, Finucane MM, Flaxman S, Flaxman AD, Fleming T, Foreman, Forouzanfar MH, Freedman G, Freeman MK, Gakidou E, Gillum RF, Gonzalez-Medina D, Gosselin R, Gutierrez HR, Hagan H, Havmoeller R, Hoffman H, Jacobsen KH, James SL, Jasrasaria R, Jayarman S, Johns N, Kassebaum N, Khatibzadeh S, Lan Q, Leasher JL, Lim S, Lipshultz SE, London S, Lopez, Lozano R, Lu Y, Mallinger L, Meltzer M, Mensah GA, Michaud C, Miller TR, Mock C, Moffitt TE, Mokdad AA, Mokdad AH, Moran A, Naghavi M, Narayan KM, Nelson RG, Olives C, Omer SB, Ortblad K, Ostro B, Pelizzari PM, Phillips D, Raju M, Razavi H, Ritz B, Roberts T, Sacco RL, Salomon J, Sampson U, Schwebel DC, Shahraz S, Shibuya K, Silberberg D, Singh JA, Steenland K, Taylor JA, Thurston GD, Vavilala MS, Vos T, Wagner GR, Weinstock MA, Weisskopf MG, Wulf S, Murray; U.S. Burden of Disease Collaborators. The state of US health, 1990-2010: burden of diseases, injuries, and risk factors. JAMA. 2013 Aug 14;310(6):591-608. doi: 10.1001/jama.2013.13805.
PubMed 23842577Slawson DL, Fitzgerald N, Morgan KT. Position of the Academy of Nutrition and Dietetics: the role of nutrition in health promotion and chronic disease prevention. J Acad Nutr Diet. 2013 Jul;113(7):972-9. doi: 10.1016/j.jand.2013.05.005.
PubMed 23790411Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annu Rev Public Health. 2015 Mar 18;36:393-415. doi: 10.1146/annurev-publhealth-031914-122855.
PubMed 25785892Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, Patel V, Haines A. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med. 2013;10(1):e1001363. doi: 10.1371/journal.pmed.1001363. Epub 2013 Jan 15.
PubMed 23458994Eyles H, McLean R, Neal B, Jiang Y, Doughty RN, McLean R, Ni Mhurchu C. A salt-reduction smartphone app supports lower-salt food purchases for people with cardiovascular disease: Findings from the SaltSwitch randomised controlled trial. Eur J Prev Cardiol. 2017 Sep;24(13):1435-1444. doi: 10.1177/2047487317715713. Epub 2017 Jun 20.
PubMed 28631933Sarmugam R, Worsley A, Flood V. Development and validation of a salt knowledge questionnaire. Public Health Nutr. 2014 May;17(5):1061-8. doi: 10.1017/S1368980013000517. Epub 2013 Mar 18.
PubMed 23507427
Study at a glance
From the registry record, last updated by the sponsor on 16 Aug 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Software Application for Low-Sodium Diet Trial (SALT): A Pilot Study
- ClinicalTrials.gov ID
- NCT04438551
- Acronym / sponsor ID
- 4979
- Conditions
- Kidney Stone, Hypernatriuria
- Keywords
- Kidney stone, Low sodium diet, Mobile health app, Stone prevention, Behavioral modification
- Study type
- Interventional
- Recruitment status
- WithdrawnReason stopped: Study is on hold until pilot study is completed
- Enrolment
- 0 participants (actual)
- Lead sponsor
- University of RochesterUniversity, hospital or other
- Study start
- 12 Feb 2021 (actual)
- Primary completion
- Dec 2024 (estimated)
- Study completion
- Dec 2024 (estimated)
- First posted
- 19 Jun 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This a single-center prospective randomized controlled trial. Subjects will be assigned to the standard of care dietary recommendations for a low sodium diet (LSD) vs. the standard of care dietary recommendations for a low sodium diet plus a mobile application that analyzes sodium content of shopping lists that are created prior to shopping trips to the grocery store over an 8-week study period. An initial pilot phase will be done to ensure adequate percentage of subjects are completing the study in the intervention group and that adequate data is being collected.
Detailed description
The study will be designed as a single-center prospective randomized controlled trial. Subjects will be assigned to the standard of care dietary recommendations handout vs a mobile application that analyzes sodium content of shopping lists that are created prior to shopping trips to the grocery store. The intervention will be administered for 8 weeks. The trial will be split into two phases, 1) Pilot phase, and 2) Trial phase. Once we have enrolled 20 subjects in the intervention arm, we will analyze whether an appropriate percentage of subjects have completed the study and adequate data is being collected. At the end of the trial, outcomes will be measured as follows:
- Mean change in score on a Knowledge of Low Sodium Diet validated questionnaire completed at baseline and at the end of the study (primary outcome) -- The minimum and maximum scores are 0 and 26, respectively. A higher score indicates a better knowledge of LSD and we hypothesize that use of the software application will result in a higher score on the questionnaire.
- Mean change in urinary sodium measured on two baseline 24hr collections and two end of study 24hr collections (primary outcome) -- We hypothesize that an always-available application that helps guide subjects in grocery choices will decrease the 24hr sodium level compared to the control group
- Within-group assessment of how often the Healthcart application is used to create shopping carts and recording of changes in shopping cart sodium score over the study period (secondary outcome) -- Healthcare interventions delivered via mobile applications are quite novel at this time and the data regarding uptake and usage is limited. These outcome measures will add to this body of data.
- Clinical data (exploratory outcomes)
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Single-center prospective randomized controlled trial
| Arm | Type | Receives |
|---|---|---|
| Standard dietary counseling | Active comparator | Behavioral: Standard dietary counselingSubjects will be given the standard low sodium diet handout with counseling, complete a validated low sodium questionnaire, and a 24-hr urine collection. |
| Standard dietary counseling plus mobile app | Experimental | Behavioral: Standard dietary counseling, Behavioral: Mobile appSubjects will be given the standard low sodium diet handout with counseling, complete a validated low sodium questionnaire, and a 24-hr urine collection. Subjects will use a mobile app to build their shopping lists prior to grocery shopping. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (9 listed)
- Male and female adults aged 18 or greater and any race/ethnicity
- Diagnosis of Kidney Stone Disease (KSD) within previous 6 months via:
- Diagnosis of hypernatriuria (elevated urinary sodium >150mmol/d) on 24-hour urine collection within previous 6 months
- Mobile phone with iOS
- Working email address
Key exclusion criteria (5 listed)
- Pregnancy
- Current use of medications prescribed for prevention of KSD
- Current prescription of low sodium diet due to another medical condition
- Inability or unwillingness to use mobile application
- Do not participate in grocery shopping
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Standard dietary counselingSubjects will be given a low sodium diet handout with counseling, complete a validated questionnaire on low sodium foods, and complete a 24-hr urine collection. | Behavioural | Standard dietary counseling, Standard dietary counseling plus mobile app |
| Mobile appSubjects will be given a low sodium diet handout with counseling, complete a validated questionnaire on low sodium foods, and complete a 24-hr urine collection. Subjects will be given a mobile app to build grocery lists where the sodium level will be recorded and tracked in the app. | Behavioural | Standard dietary counseling plus mobile app |
Primary outcome
Mean change in score of Knowledge of Low Sodium Diet Questionnaire
Time frame: Baseline to 8 weeks
Subjects will complete a low sodium diet validated questionnaire, score range from 0 to 26, higher score indicates better knowledge of role of sodium in diet and relationship of sodium to certain foods.
Mean change in twenty four hour urinary sodium levels
Time frame: Baseline to 8 weeks
Urinary sodium levels measured by collecting two 24-hour urine samples at pre-study and 8 weeks. The two 24-hr samples will be averaged to get a single urinary sodium level at each time point, the change will be recorded for each subject and the mean and standard deviation for the intervention and control groups will be compared
2 secondary outcomes
Exploratory within-group assessment of application usage in the intervention group
Time frame: Baseline to 8 weeks
Exploratory within-group assessment of application usage in the intervention group
Time frame: Baseline to 8 weeks
Results and safety
The study was withdrawn before enrolling participants, so there are no results.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Aug 2023.
- Background: PubMed 24857648Pearle MS, Goldfarb DS, Assimos DG, Curhan G, Denu-Ciocca CJ, Matlaga BR, Monga M, Penniston KL, Preminger GM, Turk TM, White JR; American Urological Assocation. Medical management of kidney stones: AUA guideline. J Urol. 2014 Aug;192(2):316-24. doi: 10.1016/j.juro.2014.05.006. Epub 2014 May 20.
- Background: PubMed 24938177Friedlander JI, Antonelli JA, Pearle MS. Diet: from food to stone. World J Urol. 2015 Feb;33(2):179-85. doi: 10.1007/s00345-014-1344-z. Epub 2014 Jun 18.
- Background: PubMed 26025494Penniston KL. The nutrition consult for recurrent stone formers. Curr Urol Rep. 2015 Jul;16(7):47. doi: 10.1007/s11934-015-0518-6.
- Background: PubMed 24846196Wertheim ML, Nakada SY, Penniston KL. Current practice patterns of urologists providing nutrition recommendations to patients with kidney stones. J Endourol. 2014 Sep;28(9):1127-31. doi: 10.1089/end.2014.0164. Epub 2014 Jun 30.
- Background: PubMed 24075239Kitchin B. Nutrition counseling for patients with osteoporosis: a personal approach. J Clin Densitom. 2013 Oct-Dec;16(4):426-31. doi: 10.1016/j.jocd.2013.08.013. Epub 2013 Sep 25.
- Background: PubMed 23134880Ravasco P, Monteiro-Grillo I, Camilo M. Individualized nutrition intervention is of major benefit to colorectal cancer patients: long-term follow-up of a randomized controlled trial of nutritional therapy. Am J Clin Nutr. 2012 Dec;96(6):1346-53. doi: 10.3945/ajcn.111.018838. Epub 2012 Nov 7.
- Background: PubMed 24591844Franz MJ, Boucher JL, Evert AB. Evidence-based diabetes nutrition therapy recommendations are effective: the key is individualization. Diabetes Metab Syndr Obes. 2014 Feb 24;7:65-72. doi: 10.2147/DMSO.S45140. eCollection 2014.
- Background: PubMed 25795688Galdas P, Fell J, Bower P, Kidd L, Blickem C, McPherson K, Hunt K, Gilbody S, Richardson G. The effectiveness of self-management support interventions for men with long-term conditions: a systematic review and meta-analysis. BMJ Open. 2015 Mar 20;5(3):e006620. doi: 10.1136/bmjopen-2014-006620.
- Background: PubMed 23878520Minich DM, Bland JS. Personalized lifestyle medicine: relevance for nutrition and lifestyle recommendations. ScientificWorldJournal. 2013 Jun 26;2013:129841. doi: 10.1155/2013/129841. Print 2013.
- Background: PubMed 23842577Murray CJ, Atkinson C, Bhalla K, Birbeck G, Burstein R, Chou D, Dellavalle R, Danaei G, Ezzati M, Fahimi A, Flaxman D, Foreman, Gabriel S, Gakidou E, Kassebaum N, Khatibzadeh S, Lim S, Lipshultz SE, London S, Lopez, MacIntyre MF, Mokdad AH, Moran A, Moran AE, Mozaffarian D, Murphy T, Naghavi M, Pope C, Roberts T, Salomon J, Schwebel DC, Shahraz S, Sleet DA, Murray, Abraham J, Ali MK, Atkinson C, Bartels DH, Bhalla K, Birbeck G, Burstein R, Chen H, Criqui MH, Dahodwala, Jarlais, Ding EL, Dorsey ER, Ebel BE, Ezzati M, Fahami, Flaxman S, Flaxman AD, Gonzalez-Medina D, Grant B, Hagan H, Hoffman H, Kassebaum N, Khatibzadeh S, Leasher JL, Lin J, Lipshultz SE, Lozano R, Lu Y, Mallinger L, McDermott MM, Micha R, Miller TR, Mokdad AA, Mokdad AH, Mozaffarian D, Naghavi M, Narayan KM, Omer SB, Pelizzari PM, Phillips D, Ranganathan D, Rivara FP, Roberts T, Sampson U, Sanman E, Sapkota A, Schwebel DC, Sharaz S, Shivakoti R, Singh GM, Singh D, Tavakkoli M, Towbin JA, Wilkinson JD, Zabetian A, Murray, Abraham J, Ali MK, Alvardo M, Atkinson C, Baddour LM, Benjamin EJ, Bhalla K, Birbeck G, Bolliger I, Burstein R, Carnahan E, Chou D, Chugh SS, Cohen A, Colson KE, Cooper LT, Couser W, Criqui MH, Dabhadkar KC, Dellavalle RP, Jarlais, Dicker D, Dorsey ER, Duber H, Ebel BE, Engell RE, Ezzati M, Felson DT, Finucane MM, Flaxman S, Flaxman AD, Fleming T, Foreman, Forouzanfar MH, Freedman G, Freeman MK, Gakidou E, Gillum RF, Gonzalez-Medina D, Gosselin R, Gutierrez HR, Hagan H, Havmoeller R, Hoffman H, Jacobsen KH, James SL, Jasrasaria R, Jayarman S, Johns N, Kassebaum N, Khatibzadeh S, Lan Q, Leasher JL, Lim S, Lipshultz SE, London S, Lopez, Lozano R, Lu Y, Mallinger L, Meltzer M, Mensah GA, Michaud C, Miller TR, Mock C, Moffitt TE, Mokdad AA, Mokdad AH, Moran A, Naghavi M, Narayan KM, Nelson RG, Olives C, Omer SB, Ortblad K, Ostro B, Pelizzari PM, Phillips D, Raju M, Razavi H, Ritz B, Roberts T, Sacco RL, Salomon J, Sampson U, Schwebel DC, Shahraz S, Shibuya K, Silberberg D, Singh JA, Steenland K, Taylor JA, Thurston GD, Vavilala MS, Vos T, Wagner GR, Weinstock MA, Weisskopf MG, Wulf S, Murray; U.S. Burden of Disease Collaborators. The state of US health, 1990-2010: burden of diseases, injuries, and risk factors. JAMA. 2013 Aug 14;310(6):591-608. doi: 10.1001/jama.2013.13805.
- Background: PubMed 23790411Slawson DL, Fitzgerald N, Morgan KT. Position of the Academy of Nutrition and Dietetics: the role of nutrition in health promotion and chronic disease prevention. J Acad Nutr Diet. 2013 Jul;113(7):972-9. doi: 10.1016/j.jand.2013.05.005.
- Background: PubMed 25785892Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annu Rev Public Health. 2015 Mar 18;36:393-415. doi: 10.1146/annurev-publhealth-031914-122855.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Rajat Jain, MD principal investigator
University of Rochester
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Standard dietary counseling and Mobile app in people with Kidney Stone and Hypernatriuria, run by University of Rochester at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: withdrawn, as of the sponsor's last update on 16 Aug 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study was withdrawn before enrolling participants, so there are no results.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Mean change in score of Knowledge of Low Sodium Diet Questionnaire (time frame: Baseline to 8 weeks). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04438551, which also lists 18 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Aug 2023.