Literature DB >> 33252930

Just-in-time adaptive intervention to promote fluid consumption in patients with kidney stones.

David E Conroy1, Ashley B West1, Deborah Brunke-Reese1, Edison Thomaz2, Necole M Streeper3.   

Abstract

OBJECTIVE: Kidney stones are painful and costly. Prevention guidelines emphasize a simple behavior change: increasing fluid intake and urine output. Unfortunately, adherence to those prevention guidelines is limited, and patients report forgetting or not being thirsty enough. This study evaluated the acceptability of using semiautomated tracking of fluid consumption to trigger just-in-time reminders to drink and increase the experienced automaticity of fluid intake.
METHOD: In a single-group trial, participants with a history of kidney stones (n = 31) used the sipIT digital tools (H2OPal connected water bottle, H2OPal mobile app for self-tracking, Fitbit smartwatch app for gesture detection) for 3 months.
RESULTS: The semiautomated monitoring system detected 46,654 drinking events. From baseline to 1-month follow-up, the experienced automaticity of fluid intake increased significantly (d = 0.50) and remained elevated at 3-month follow-up (d = 0.64). A major barrier to adherence (lack of thirst) decreased from baseline to follow-ups. Retention rates and participant feedback indicated that this digital tool was acceptable to patients.
CONCLUSION: Semiautomated tracking of fluid consumption can be used to trigger just-in-time reminders. Based on this demonstration, the sipIT tools are ready for testing in a rigorous Phase II trial to evaluate efficacy for increasing fluid consumption and urine output as recommended for preventing the recurrence of kidney stones. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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Year:  2020        PMID: 33252930      PMCID: PMC7903875          DOI: 10.1037/hea0001032

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  31 in total

1.  Changes in urine volume accomplished by physicians treating nephrolithiasis.

Authors:  Joan H Parks; Evan R Goldfischer; Frederic L Coe
Journal:  J Urol       Date:  2003-03       Impact factor: 7.450

2.  Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework.

Authors:  Inbal Nahum-Shani; Eric B Hekler; Donna Spruijt-Metz
Journal:  Health Psychol       Date:  2015-12       Impact factor: 4.267

3.  Factors Associated with Compliance to Increased Fluid Intake and Urine Volume Following Dietary Counseling in First-Time Kidney Stone Patients.

Authors:  Aziz Khambati; Richard S Matulewicz; Kent T Perry; Robert B Nadler
Journal:  J Endourol       Date:  2017-03-20       Impact factor: 2.942

4.  Medical management of kidney stones: AUA guideline.

Authors:  Margaret S Pearle; David S Goldfarb; Dean G Assimos; Gary Curhan; Cynthia J Denu-Ciocca; Brian R Matlaga; Manoj Monga; Kristina L Penniston; Glenn M Preminger; Thomas M T Turk; James R White
Journal:  J Urol       Date:  2014-05-20       Impact factor: 7.450

5.  Habitual instigation and habitual execution: Definition, measurement, and effects on behaviour frequency.

Authors:  Benjamin Gardner; L Alison Phillips; Gaby Judah
Journal:  Br J Health Psychol       Date:  2016-03-18

6.  Factors influencing fluid intake behavior among kidney stone formers.

Authors:  Lipika R McCauley; Anthony J Dyer; Karen Stern; Thomas Hicks; Mike M Nguyen
Journal:  J Urol       Date:  2012-02-15       Impact factor: 7.450

7.  Acceptability of Mobile Health Technology for Promoting Fluid Consumption in Patients With Nephrolithiasis.

Authors:  Necole M Streeper; Kathleen Lehman; David E Conroy
Journal:  Urology       Date:  2018-08-29       Impact factor: 2.649

8.  Predictors of Reporting Success With Increased Fluid Intake Among Kidney Stone Patients.

Authors:  Sarah Tarplin; Manoj Monga; Karen L Stern; Lipika R McCauley; Carl Sarkissian; Mike M Nguyen
Journal:  Urology       Date:  2015-11-04       Impact factor: 2.649

9.  Personalized models of physical activity responses to text message micro-interventions: A proof-of-concept application of control systems engineering methods.

Authors:  David E Conroy; Sarah Hojjatinia; Constantino M Lagoa; Chih-Hsiang Yang; Stephanie T Lanza; Joshua M Smyth
Journal:  Psychol Sport Exerc       Date:  2018-06-28

10.  Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions.

Authors:  Heather Cole-Lewis; Nnamdi Ezeanochie; Jennifer Turgiss
Journal:  JMIR Form Res       Date:  2019-10-10
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1.  UPDATE - Canadian Urological Association guideline: Evaluation and medical management of kidney stones.

Authors:  Naeem Bhojani; Jennifer Bjazevic; Brendan Wallace; Linda Lee; Kamaljot S Kaler; Marie Dion; Andrea Cowan; Nabil Sultan; Ben H Chew; Hassan Razvi
Journal:  Can Urol Assoc J       Date:  2022-06       Impact factor: 2.052

2.  Climate change, behavior change and health: a multidisciplinary, translational and multilevel perspective.

Authors:  Donald Edmondson; David Conroy; Rainer Romero-Canyas; Molly Tanenbaum; Susan Czajkowski
Journal:  Transl Behav Med       Date:  2022-05-25       Impact factor: 3.626

3.  Monitoring fluid intake by commercially available smart water bottles.

Authors:  Rachel Cohen; Geoff Fernie; Atena Roshan Fekr
Journal:  Sci Rep       Date:  2022-03-15       Impact factor: 4.379

4.  Mindful walking and cognition in older adults: A proof of concept study using in-lab and ambulatory cognitive measures.

Authors:  Chih-Hsiang Yang; Jonathan G Hakun; Nelson Roque; Martin J Sliwinski; David E Conroy
Journal:  Prev Med Rep       Date:  2021-07-14
  4 in total

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