- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05151445
The Use of a Consumer-Based mHealth Dietary App and Health Coaching With Kidney Transplant Recipients (TASK)
Study Overview
Status
Intervention / Treatment
Detailed Description
The proposed study seeks to shift the paradigm for promoting diet intake and physical activity using education and self-report to provide a powerful combination of mHealth dietary app and health coaching (set goals, provide ongoing feedback, and self-monitor behaviors). To the investigators knowledge, this is the first time a mHealth dietary app and health coaching intervention has been used in kidney transplant recipients to link real-time data for monitoring dietary intake and physical activity.
The long-term goal of this work is to enhance well-being in kidney recipients via lifestyle self-management of care for dietary intake and physical activity to ultimately prevent chronic diseases. The proposed study is important because early weight gain after kidney transplant is associated with adverse effects on the transplanted kidney function resulting in increased health care cost and poor quality of life. Interventions are needed to monitor kidney transplant recipients diet and physical activity in real-time to prevent health decline.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Ohio
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Columbus, Ohio, United States, 43210
- Ohio State University Medical Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- age 18 or older men and women
- functioning KTR (not on dialysis)
- ability to speak, read, and hear English,
- possession of a smartphone capable of accessing and downloading a mHealth dietary app
- Wi-Fi or Internet access,
- greater than 3 months post-transplant (due to medication adjustments and decreased functional levels),
- not hospitalized
- capable of self-consent per capacity screening.
Exclusion Criteria:
- Participation in a weight loss program
- participation in a structured exercise program
- diagnosis of dementia.
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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mHealth dietary app + health coaching intervention
A feasibility study will be utilized to establish the recruitment, retention, and adherence with post-kidney transplant recipients using a consumer-based mHealth dietary app + health coaching.
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The "Lose-It" app will be set up with Gmail accounts with unique unidentifiable codes developed by the research team.
Participants be trained to enter their dietary intake and physical activity daily for 12-weeks.
Participants will monitor their vegetable intake, fat intake, carbohydrate intake, weight, and blood pressure.
Wi-Fi connected weight scales and blood pressure cuff will be supplied for weight and blood pressure monitoring.
Participants will be taught how to sync the data from the scales and blood pressure cuff to the app for the research team to access.
Participants will perform a return demonstration to confirm that they can record their dietary intake daily, physical activity, weight, and blood pressure using the "Lose-It" app.
We also review with the participant the "My Plate" method for proper nutrition and the steps to distance conversion chart.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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The Feasibility of the Study Recruitment for the Study
Time Frame: Baseline
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Recruitment (percent of participants approached to be in the study), will be recorded by the research assistant.
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Baseline
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The Feasibility of Participant Retention for the Study
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Retention (percent of participants that dropped during the study), will be recorded by the research assistant.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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The Feasibility of Adherence for Using the Lose- It App to Record Diet
Time Frame: Weekly for 12 weeks
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Adherence (percent to adhere to logging daily dietary intake) will be recorded continuously each day by the "Lose-It" app.
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Weekly for 12 weeks
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The Feasibility of Adherence for Using the Lose- It App to Physical Actvity
Time Frame: Weekly for 12 weeks
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Adherence (percent to adhere to logging daily physical activity) will be recorded continuously each day by the "Lose-It" app.
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Weekly for 12 weeks
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Perceived Stress Level
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Perceived Stress Scale will be evaluated by using the Perceived Stress Scale (PSS).The PSS is a 10-item questionnaire using a Likert Scale to rate feelings of stress from 0 "never" to 4 "very often."
Individual scores on the PSS can range from 0 to 40 with higher scores indicating higher perceived stress.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Exercise Self-Efficacy
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Exercise Self-Efficacy Scale will be evaluated by using the Self-Efficacy for Exercise (SEE) Scale.
The SEE is a 9-item questionnaire using a Likert Scale to rate feelings of stress from 0 "not confident" to 10 "very confident."
This scale has a range of total scores from 0-90.
A higher score indicates higher self-efficacy for exercise.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Fruit and Vegetable Servings Per Day
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Fruit and vegetable intake will be assessed using the Fruit, Vegetable and Fiber Screen which uses a scale to assess fruit and vegetable intake using a Likert Scale to rate intake from less than1/ per week to more than 2 a day.
Higher scores indicate that more fruits and vegetables are being consumed by participants.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Fiber Intake
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Fiber intake will be assessed using the Fruit, Vegetable and Fiber Screen which uses a scale to assessfiber intake using a Likert Scale to rate intake from less than1/ per week to more than 2 a day.Higher scores indicate more fiber intake.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Fat Intake
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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The participant will record their percent of fat intake each day into the Lose-it Premium application.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Carbohydrate Intake
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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The participant will record their percent of carbohydrate intake each day into the Lose-it Premium application.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Weight
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Weight (pounds) will be measured each day by the participant using a wireless Wi Fi weight scale.
The data from the wireless weight scale will sync the data from the participant's mobile phone to the premium password-protect "Lose-It" database each day.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Systolic Blood Pressure
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Systolic blood pressure (millimeters of mercury [mmHg]) will be recorded each day by the participant using a wireless Wi Fi blood pressure cuff.
The data from the wireless cuff will sync from the participant's mobile phone to the premium password-protect "Lose-It" database each day.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Diastolic Blood Pressure
Time Frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Systolic blood pressure (millimeters of mercury [mmHg]) will be recorded each day by the participant using a wireless Wi Fi blood pressure cuff.
The data from the wireless cuff will sync from the participant's mobile phone to the premium password-protect "Lose-It" database each day.
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Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks
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Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
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- Klaassen G, Zelle DM, Navis GJ, Dijkema D, Bemelman FJ, Bakker SJL, Corpeleijn E. Lifestyle intervention to improve quality of life and prevent weight gain after renal transplantation: Design of the Active Care after Transplantation (ACT) randomized controlled trial. BMC Nephrol. 2017 Sep 15;18(1):296. doi: 10.1186/s12882-017-0709-0.
- Kim IK, Choi SH, Son S, Ju MK. Early Weight Gain After Transplantation Can Cause Adverse Effect on Transplant Kidney Function. Transplant Proc. 2016 Apr;48(3):893-6. doi: 10.1016/j.transproceed.2015.10.064.
- Edwards ES, Sackett SC. Psychosocial Variables Related to Why Women are Less Active than Men and Related Health Implications. Clin Med Insights Womens Health. 2016 Jul 4;9(Suppl 1):47-56. doi: 10.4137/CMWH.S34668. eCollection 2016.
- Hap K, Madziarska K, Hap W, Zmonarski S, Zielinska D, Kaminska D, Banasik M, Koscielska-Kasprzak K, Klinger M, Mazanowska O. Are Females More Prone Than Males to Become Obese After Kidney Transplantation? Ann Transplant. 2019 Jan 29;24:57-61. doi: 10.12659/AOT.912096.
- Pedrollo EF, Nicoletto BB, Carpes LS, de Freitas JMC, Buboltz JR, Forte CC, Bauer AC, Manfro RC, Souza GC, Leitao CB. Effect of an intensive nutrition intervention of a high protein and low glycemic-index diet on weight of kidney transplant recipients: study protocol for a randomized clinical trial. Trials. 2017 Sep 6;18(1):413. doi: 10.1186/s13063-017-2158-2.
- Wilcox J, Waite C, Tomlinson L, Driscoll J, Karim A, Day E, Sharif A. Comparing glycaemic benefits of Active Versus passive lifestyle Intervention in kidney Allograft Recipients (CAVIAR): study protocol for a randomised controlled trial. Trials. 2016 Aug 22;17(1):417. doi: 10.1186/s13063-016-1543-6.
- Clunk JM, Lin CY, Curtis JJ. Variables affecting weight gain in renal transplant recipients. Am J Kidney Dis. 2001 Aug;38(2):349-53. doi: 10.1053/ajkd.2001.26100.
- Aminu MS, Sagren N, Manga P, Nazir MS, Naicker S. Obesity and graft dysfunction among kidney transplant recipients: Increased risk for atherosclerosis. Indian J Nephrol. 2015 Nov-Dec;25(6):340-3. doi: 10.4103/0971-4065.151358.
- Williams-Hooker R, Draper CM, Chen L, Mitchell CO, Cashion AK. The relationship between fruit and vegetable consumption and weight gain in kidney transplant recipients within 1 year posttransplant. Top Clin Nutr. 2015;30(4):324-332.
- Mellen PB, Gao SK, Vitolins MZ, Goff DC Jr. Deteriorating dietary habits among adults with hypertension: DASH dietary accordance, NHANES 1988-1994 and 1999-2004. Arch Intern Med. 2008 Feb 11;168(3):308-14. doi: 10.1001/archinternmed.2007.119.
- Zeltzer SM, Taylor DO, Tang WH. Long-term dietary habits and interventions in solid-organ transplantation. J Heart Lung Transplant. 2015 Nov;34(11):1357-65. doi: 10.1016/j.healun.2015.06.014. Epub 2015 Jul 6.
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- Boehmer KR, Barakat S, Ahn S, Prokop LJ, Erwin PJ, Murad MH. Health coaching interventions for persons with chronic conditions: a systematic review and meta-analysis protocol. Syst Rev. 2016 Sep 1;5(1):146. doi: 10.1186/s13643-016-0316-3.
- Wolever RQ, Simmons LA, Sforzo GA, Dill D, Kaye M, Bechard EM, Southard ME, Kennedy M, Vosloo J, Yang N. A Systematic Review of the Literature on Health and Wellness Coaching: Defining a Key Behavioral intervention in Healthcare. Glob Adv Health Med. 2013 Jul;2(4):38-57. doi: 10.7453/gahmj.2013.042.
- O'Brien T, Troutman-Jordan M, Hathaway D, Armstrong S, Moore M. Acceptability of wristband activity trackers among community dwelling older adults. Geriatr Nurs. 2015 Mar-Apr;36(2 Suppl):S21-5. doi: 10.1016/j.gerinurse.2015.02.019. Epub 2015 Mar 13.
- O'Brien T, Hathaway D. An Integrative Literature Review of Physical Activity Recommendations for Adult Renal Transplant Recipients. Prog Transplant. 2016 Dec;26(4):381-385. doi: 10.1177/1526924816664079. Epub 2016 Sep 20.
- O'Brien T, Hathaway D, Russell CL, Moore SM. Merging an Activity Tracker with SystemCHANGE to Improve Physical Activity in Older Kidney Transplant Recipients. Nephrol Nurs J. 2017 Mar-Apr;44(2):153-157.
- O'Brien T, Russell CL, AlKahlout N, Rosenthal A, Meyer T, Tan A, Daloul R, Hathaway D. Recruitment of Older Kidney Transplant Recipients to a Longitudinal Study. Nurs Res. 2020 May/Jun;69(3):233-237. doi: 10.1097/NNR.0000000000000406.
- O'Brien T, Meyer T. A Feasibility Study for Teaching Older Kidney Transplant Recipients How to Wear and Use an Activity Tracker to Promote Daily Physical Activity. Nephrol Nurs J. 2020 Jan-Feb;47(1):47-51.
- O'Brien T, Russell CL, Tan A, Washington M, Hathaway D. An Exploratory Correlational Study in the Use of Mobile Technology Among Adult Kidney Transplant Recipients. Prog Transplant. 2018 Dec;28(4):368-375. doi: 10.1177/1526924818800051. Epub 2018 Sep 24.
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- Sundararajan V, Quan H, Halfon P, Fushimi K, Luthi JC, Burnand B, Ghali WA; International Methodology Consortium for Coded Health Information (IMECCHI). Cross-national comparative performance of three versions of the ICD-10 Charlson index. Med Care. 2007 Dec;45(12):1210-5. doi: 10.1097/MLR.0b013e3181484347.
- Sun Y, Gao L, Kan Y, Shi BX. The Perceived Stress Scale-10 (PSS-10) is reliable and has construct validity in Chinese patients with systemic lupus erythematosus. Lupus. 2019 Feb;28(2):149-155. doi: 10.1177/0961203318815595. Epub 2018 Dec 5.
- Resnick B, Jenkins LS. Testing the reliability and validity of the Self-Efficacy for Exercise scale. Nurs Res. 2000 May-Jun;49(3):154-9. doi: 10.1097/00006199-200005000-00007.
- O'Brien T, Russell CL, Tan A, Mion L, Rose K, Focht B, Daloul R, Hathaway D. A Pilot Randomized Controlled Trial Using SystemCHANGE Approach to Increase Physical Activity in Older Kidney Transplant Recipients. Prog Transplant. 2020 Dec;30(4):306-314. doi: 10.1177/1526924820958148. Epub 2020 Sep 10.
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
- 2020B0261
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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