Literature DB >> 33355235

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

Wael F Hussein1,2, Paul N Bennett3, Sloane Pace4, Shijie Chen4, Veronica Legg4, Jugjeet Atwal4, Sumi Sun4, Brigitte Schiller4,2.   

Abstract

BACKGROUND AND OBJECTIVES: Mobile health is the health care use of mobile devices, such as smartphones. Mobile health readiness is a prerequisite to successful implementation of mobile health programs. The aim of this study was to examine the status and correlates of mobile health readiness among individuals on dialysis. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A cross-sectional 30-item questionnaire guided by the Khatun mobile health readiness conceptual model was distributed to individuals on dialysis from 21 in-center hemodialysis facilities and 14 home dialysis centers. The survey assessed the availability of devices and the internet, proficiency, and interest in using mobile health.
RESULTS: In total, 949 patients (632 hemodialysis and 317 home dialysis) completed the survey. Of those, 81% owned smartphones or other internet-capable devices, and 72% reported using the internet. The majority (70%) reported intermediate or advanced mobile health proficiency. The main reasons for using mobile health were appointments (56%), communication with health care personnel (56%), and laboratory results (55%). The main reported concerns with mobile health were privacy and security (18%). Mobile health proficiency was lower in older patients: compared with the 45- to 60-years group, respondents in age groups <45, 61-70, and >70 years had adjusted odds ratios of 5.04 (95% confidence interval, 2.23 to 11.38), 0.39 (95% confidence interval, 0.24 to 0.62), and 0.22 (95% confidence interval, 0.14 to 0.35), respectively. Proficiency was lower in participants with Hispanic/Latinx ethnicity (adjusted odds ratio, 0.49; 95% confidence interval, 0.31 to 0.75) and with less than college education (adjusted odds ratio for "below high school," 0.09; 95% confidence interval, 0.05 to 0.16 and adjusted odds ratio for "high school only," 0.26; 95% confidence interval, 0.18 to 0.39). Employment was associated with higher proficiency (adjusted odds ratio, 2.26; 95% confidence interval, 1.18 to 4.32). Although home dialysis was associated with higher proficiency in the unadjusted analyses, we did not observe this association after adjustment for other factors.
CONCLUSIONS: The majority of patients on dialysis surveyed were ready for, and proficient in, mobile health. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER DIALYSIS MHEALTH SURVEY,: NCT04177277.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  end stage kidney disease; hemodialysis; mHealth; mobile health; telehealth; telemedicine

Mesh:

Year:  2020        PMID: 33355235      PMCID: PMC7792646          DOI: 10.2215/CJN.11690720

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


  36 in total

1.  Are patients prepared to use telemedicine in home peritoneal dialysis programs?

Authors:  S Q Lew; N Sikka
Journal:  Perit Dial Int       Date:  2013 Nov-Dec       Impact factor: 1.756

2.  Assessing mHealth: opportunities and barriers to patient engagement.

Authors:  Thomas Martin
Journal:  J Health Care Poor Underserved       Date:  2012-08

3.  The "Mikidney" smartphone app pilot study: Empowering patients with Chronic Kidney Disease.

Authors:  Nuala Doyle; Mairead Murphy; Laura Brennan; Alice Waugh; Margaret McCann; George Mellotte
Journal:  J Ren Care       Date:  2019-07-29

4.  In-center hemodialysis patients' use of the internet in the United States: a national survey.

Authors:  Dorian Schatell; Meg Wise; Kristi Klicko; Bryan N Becker
Journal:  Am J Kidney Dis       Date:  2006-08       Impact factor: 8.860

5.  Kidney transplant recipients' attitudes about using mobile health technology for managing and monitoring medication therapy.

Authors:  Robert B Browning; John W McGillicuddy; Frank A Treiber; David J Taber
Journal:  J Am Pharm Assoc (2003)       Date:  2016 Jul-Aug

6.  Perceptions and Practices of Nephrology Nurses Working in Home Dialysis: An International Survey.

Authors:  Paul N Bennett; Denise Eilers; Fang Yang; Christy Price Rabetoy
Journal:  Nephrol Nurs J       Date:  2019 Sep-Oct       Impact factor: 0.959

7.  A Pilot Study of OkKidney, a Phosphate Counting Application in Patients on Peritoneal Dialysis.

Authors:  Rameez Imtiaz; Katherine Atkinson; Julien Guerinet; Kumanan Wilson; Julie Leidecker; Deborah Zimmerman
Journal:  Perit Dial Int       Date:  2017-09-28       Impact factor: 1.756

8.  Quantifying Physical Activity Levels and Sleep in Hemodialysis Patients Using a Commercially Available Activity Tracker.

Authors:  Maggie Han; Schantel Williams; Melissa Mendoza; Xiaoling Ye; Hanjie Zhang; Viviane Calice-Silva; Stephan Thijssen; Peter Kotanko; Anna Meyring-Wösten
Journal:  Blood Purif       Date:  2016-01-15       Impact factor: 2.614

9.  Testing the Feasibility and Usability of a Novel Smartphone-Based Self-Management Support System for Dialysis Patients: A Pilot Study.

Authors:  Aki Hayashi; Satoko Yamaguchi; Kayo Waki; Katsuhito Fujiu; Norio Hanafusa; Takahiro Nishi; Hyoe Tomita; Haruka Kobayashi; Hideo Fujita; Takashi Kadowaki; Masaomi Nangaku; Kazuhiko Ohe
Journal:  JMIR Res Protoc       Date:  2017-04-20

10.  Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study.

Authors:  Jennifer Apolinário-Hagen; Severin Hennemann; Lara Fritsche; Marie Drüge; Bernhard Breil
Journal:  JMIR Ment Health       Date:  2019-11-07
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  6 in total

1.  Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services.

Authors:  Isaac Kofi Mensah
Journal:  Front Public Health       Date:  2022-06-14

2.  Patients with Kidney Disease: Ready to Use Smartphones for Health Care Delivery?

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

3.  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

4.  SARS-CoV-2 Vaccine Acceptability in Patients on Hemodialysis: A Nationwide Survey.

Authors:  Pablo Garcia; Maria E Montez-Rath; Heather Moore; Johnie Flotte; Chris Fults; Martha S Block; Jialin Han; Mary Dittrich; Julie Parsonnet; Glenn M Chertow; Geoffrey A Block; Shuchi Anand
Journal:  J Am Soc Nephrol       Date:  2021-04-29       Impact factor: 14.978

5.  A Mobile Health-Based Survey to Assess COVID-19 Vaccine Intent and Uptake Among Patients on Dialysis.

Authors:  Sri Lekha Tummalapalli; Daniel Cukor; Andrew Bohmart; Daniel M Levine; Thomas S Parker; Frank Liu; Alan Perlman; Vesh Srivatana; Meghan Reading Turchioe; Said A Ibrahim; Jeffrey Silberzweig
Journal:  Kidney Int Rep       Date:  2021-12-13

Review 6.  [Long-term physical and psychological consequences of chronic kidney disease].

Authors:  Friedrich Thaiss
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2022-03-21       Impact factor: 1.513

  6 in total

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