Literature DB >> 30898873

Patients' and Nephrologists' Evaluation of Patient-Facing Smartphone Apps for CKD.

Karandeep Singh1,2,3, Clarissa J Diamantidis4,5, Shreyas Ramani3, Nrupen A Bhavsar4, Peter Mara2, Julia Warner2, Jorge Rodriguez6, Tianshi Wang3, Julie Wright-Nunes2.   

Abstract

BACKGROUND AND OBJECTIVES: Many aspects of CKD management rely heavily on patient self-care, including medication and dietary adherence, self-monitoring of BP, and daily physical activity. Growing evidence suggests that incorporating smartphone-based applications can support self-care in CKD and chronic disease more generally. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We identified applications targeting patients with CKD by conducting a search of the US Apple App Store (iOS) and Google Play Store (Android) using the following four phrases: "kidney disease," "renal," "dialysis," and "kidney transplant." We considered the first 50 applications for each search term on each application store. We adapted a previously described framework for assessment of mobile health applications to account for kidney disease-specific content areas and evaluated applications on their types of patient engagement, quality, usability, and safety. Engagement and quality were assessed by both a patient and a nephrologist, usability was assessed by a patient, and safety was assessed by a nephrologist. Overall, two patients with CKD and three nephrologists performed the evaluations. We examined pairwise correlations between patient, nephrologist, and consumer ratings of application quality.
RESULTS: Our search strategy identified 174 unique applications on Android and 165 unique applications on iOS. After excluding applications that were not related to kidney disease, were not patient facing, or were last updated before 2014, 12 Android-only applications, 11 iOS-only applications, and five dual-platform applications remained. Patient and nephrologist application quality ratings, assessed by the net promoter score, were not correlated (r=0.36; P=0.06). Consumer ratings on the application stores did not correlate with patient ratings of application quality (r=0.34; P=0.18).
CONCLUSIONS: Only a small subset of CKD applications was highly rated by both patients and nephrologists. Patients' impressions of application quality are not directly linked to consumer application ratings or nephrologist impressions.
Copyright © 2019 by the American Society of Nephrology.

Entities:  

Keywords:  Chronic Disease; Exercise; Malus; Methyltestosterone; Mobile Applications; Patient Participation; Renal Insufficiency, Chronic; Self Care; Smartphone; Telemedicine; blood pressure; chronic kidney disease; dialysis; end stage kidney disease; kidney; kidney transplantation; mobile health

Mesh:

Year:  2019        PMID: 30898873      PMCID: PMC6450346          DOI: 10.2215/CJN.10370818

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  17 in total

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Journal:  Health Aff (Millwood)       Date:  2016-12-01       Impact factor: 6.301

3.  Integrating a Smartphone-Based Self-Management System into Usual Care of Advanced CKD.

Authors:  Stephanie W Ong; Sarbjit V Jassal; Judith A Miller; Eveline C Porter; Joseph A Cafazzo; Emily Seto; Kevin E Thorpe; Alexander G Logan
Journal:  Clin J Am Soc Nephrol       Date:  2016-05-12       Impact factor: 8.237

4.  Patient perspectives on informed decision-making surrounding dialysis initiation.

Authors:  Mi-Kyung Song; Feng-Chang Lin; Constance A Gilet; Robert M Arnold; Jessica C Bridgman; Sandra E Ward
Journal:  Nephrol Dial Transplant       Date:  2013-07-30       Impact factor: 5.992

5.  Usability of mobile technology to screen for drug-drug interactions in kidney transplant patients.

Authors:  Lalitha De Silva; Clarissa J Diamantidis; Divya Prakash; Marni Zuckerman; Matthew R Weir
Journal:  Am J Nephrol       Date:  2014-07-19       Impact factor: 3.754

6.  WellDoc mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction.

Authors:  Charlene C Quinn; Suzanne Sysko Clough; James M Minor; Dan Lender; Maria C Okafor; Ann Gruber-Baldini
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Review 7.  Educational interventions in kidney disease care: a systematic review of randomized trials.

Authors:  Jo Mason; Kamlesh Khunti; Margaret Stone; Azhar Farooqi; Sue Carr
Journal:  Am J Kidney Dis       Date:  2008-04-28       Impact factor: 8.860

8.  Developing a Framework for Evaluating the Patient Engagement, Quality, and Safety of Mobile Health Applications.

Authors:  Karandeep Singh; Kaitlin Drouin; Lisa P Newmark; Ronen Rozenblum; Jaeho Lee; Adam Landman; Erika Pabo; Elissa V Klinger; David W Bates
Journal:  Issue Brief (Commonw Fund)       Date:  2016-02

9.  Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps.

Authors:  Ying-Li Lee; Yan-Yan Cui; Ming-Hsiang Tu; Yu-Chi Chen; Polun Chang
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10.  Provider perspectives on chronic kidney disease diagnosis delivery
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Authors:  Hannah Tiu; Angela Fagerlin; Meghan Roney; Ev Kerr; Akinlolu Ojo; Ed Rothman; Julie Wright Nunes
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  22 in total

1.  Got CKD? There's an App for That!

Authors:  Joel M Topf; Swapnil Hiremath
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2.  Patient Perspective of Smartphone-Based Apps for CKD Self-Care.

Authors:  Dale Rogers
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Review 3.  Considerations on equity in management of end-stage kidney disease in low- and middle-income countries.

Authors:  Wim Van Biesen; Vivekanand Jha; Ali K Abu-Alfa; Sharon P Andreoli; Gloria Ashuntantang; Bassam Bernieh; Edwina Brown; Yuqing Chen; Rosanna Coppo; Cecile Couchoud; Brett Cullis; Walter Douthat; Felicia U Eke; Brenda Hemmelgarn; Fan Fan Hou; Nathan W Levin; Valerie A Luyckx; Rachael L Morton; Mohammed Rafique Moosa; Fliss E M Murtagh; Marie Richards; Eric Rondeau; Daniel Schneditz; Kamal D Shah; Vladimir Tesar; Karen Yeates; Guillermo Garcia Garcia
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4.  The Role of Telenephrology in the Management of CKD.

Authors:  Justin M Belcher
Journal:  Kidney360       Date:  2020-09-21

5.  mHealth education for patients with chronic kidney disease: protocol for a scoping review.

Authors:  Anders Nikolai Ørsted Schultz; Jan Dominik Kampmann; Kristian Kidholm; Caroline Moos; Eithne Hayes Bauer
Journal:  BMJ Open       Date:  2022-07-18       Impact factor: 3.006

Review 6.  Big Data in Nephrology.

Authors:  Navchetan Kaur; Sanchita Bhattacharya; Atul J Butte
Journal:  Nat Rev Nephrol       Date:  2021-06-30       Impact factor: 28.314

7.  The Mobile Health Readiness of People Receiving In-Center Hemodialysis and Home Dialysis.

Authors:  Wael F Hussein; Paul N Bennett; Sloane Pace; Shijie Chen; Veronica Legg; Jugjeet Atwal; Sumi Sun; Brigitte Schiller
Journal:  Clin J Am Soc Nephrol       Date:  2020-12-22       Impact factor: 8.237

8.  Mobile Health in Dialysis: The Best Engagement Medium Is the One that's with Patients.

Authors:  Karandeep Singh
Journal:  Clin J Am Soc Nephrol       Date:  2020-12-22       Impact factor: 8.237

9.  Mobile Health (mHealth) Technology: Assessment of Availability, Acceptability, and Use in CKD.

Authors:  Sarah J Schrauben; Lawrence Appel; Eleanor Rivera; Claudia M Lora; James P Lash; Jing Chen; L Lee Hamm; Jeffrey C Fink; Alan S Go; Raymond R Townsend; Rajat Deo; Laura M Dember; Harold I Feldman; Clarissa J Diamantidis
Journal:  Am J Kidney Dis       Date:  2020-12-09       Impact factor: 11.072

Review 10.  Opportunities in the cloud or pie in the sky? Current status and future perspectives of telemedicine in nephrology.

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Journal:  Clin Kidney J       Date:  2020-08-14
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