A Mobile App to Support Self-management of Chronic Kidney Disease: Development Study.

chronic kidney disease digital health kidney disease mHealth mobile app mobile apps self-management smartphone

Journal

JMIR human factors
ISSN: 2292-9495
Titre abrégé: JMIR Hum Factors
Pays: Canada
ID NLM: 101666561

Informations de publication

Date de publication:
15 Dec 2021
Historique:
received: 29 03 2021
accepted: 06 11 2021
revised: 16 07 2021
entrez: 16 12 2021
pubmed: 17 12 2021
medline: 17 12 2021
Statut: epublish

Résumé

Chronic kidney disease (CKD) is a common and costly condition that is usually accompanied by multiple comorbidities including type 2 diabetes, hypertension, and obesity. Proper management of CKD can delay or prevent kidney failure and help mitigate cardiovascular disease risk, which increases as kidney function declines. Smart device apps hold potential to enhance patient self-management of chronic conditions including CKD. The objective of this study was to develop a mobile app to facilitate self-management of nondialysis-dependent CKD. Our stakeholder team included 4 patients with stage 3-4 nondialysis-dependent CKD; a kidney transplant recipient; a caretaker; CKD care providers (pharmacists, a nurse, primary care physicians, a nephrologist, and a cardiologist); 2 health services and CKD researchers; a researcher in biomedical informatics, nutrition, and obesity; a system developer; and 2 programmers. Focus groups and in-person interviews with the patients and providers were conducted using a focus group and interview guide based on existing literature on CKD self-management and the mobile app quality criteria from the Mobile App Rating Scale. Qualitative analytic methods including the constant comparative method were used to analyze the focus group and interview data. Patients and providers identified and discussed a list of requirements and preferences regarding the content, features, and technical aspects of the mobile app, which are unique for CKD self-management. Requirements and preferences centered along themes of communication between patients and caregivers, partnership in care, self-care activities, adherence to treatment regimens, and self-care self-efficacy. These identified themes informed the features and content of our mobile app. The mobile app user can enter health data including blood pressure, weight, and blood glucose levels. Symptoms and their severity can also be entered, and users are prompted to contact a physician as indicated by the symptom and its severity. Next, mobile app users can select biweekly goals from a set of predetermined goals with the option to enter customized goals. The user can also keep a list of medications and track medication use. Our app includes feedback mechanisms where in-range values for health data are depicted in green and out-of-range values are depicted in red. We ensured that data entered by patients could be downloaded into a user-friendly report, which could be emailed or uploaded to an electronic health record. The mobile app also includes a mechanism that allows either group or individualized video chat meetings with a provider to facilitate either group support, education, or even virtual clinic visits. The CKD app also includes educational material on CKD and its symptoms. Patients with CKD and CKD care providers believe that a mobile app can enhance CKD self-management by facilitating patient-provider communication and enabling self-care activities including treatment adherence.

Sections du résumé

BACKGROUND BACKGROUND
Chronic kidney disease (CKD) is a common and costly condition that is usually accompanied by multiple comorbidities including type 2 diabetes, hypertension, and obesity. Proper management of CKD can delay or prevent kidney failure and help mitigate cardiovascular disease risk, which increases as kidney function declines. Smart device apps hold potential to enhance patient self-management of chronic conditions including CKD.
OBJECTIVE OBJECTIVE
The objective of this study was to develop a mobile app to facilitate self-management of nondialysis-dependent CKD.
METHODS METHODS
Our stakeholder team included 4 patients with stage 3-4 nondialysis-dependent CKD; a kidney transplant recipient; a caretaker; CKD care providers (pharmacists, a nurse, primary care physicians, a nephrologist, and a cardiologist); 2 health services and CKD researchers; a researcher in biomedical informatics, nutrition, and obesity; a system developer; and 2 programmers. Focus groups and in-person interviews with the patients and providers were conducted using a focus group and interview guide based on existing literature on CKD self-management and the mobile app quality criteria from the Mobile App Rating Scale. Qualitative analytic methods including the constant comparative method were used to analyze the focus group and interview data.
RESULTS RESULTS
Patients and providers identified and discussed a list of requirements and preferences regarding the content, features, and technical aspects of the mobile app, which are unique for CKD self-management. Requirements and preferences centered along themes of communication between patients and caregivers, partnership in care, self-care activities, adherence to treatment regimens, and self-care self-efficacy. These identified themes informed the features and content of our mobile app. The mobile app user can enter health data including blood pressure, weight, and blood glucose levels. Symptoms and their severity can also be entered, and users are prompted to contact a physician as indicated by the symptom and its severity. Next, mobile app users can select biweekly goals from a set of predetermined goals with the option to enter customized goals. The user can also keep a list of medications and track medication use. Our app includes feedback mechanisms where in-range values for health data are depicted in green and out-of-range values are depicted in red. We ensured that data entered by patients could be downloaded into a user-friendly report, which could be emailed or uploaded to an electronic health record. The mobile app also includes a mechanism that allows either group or individualized video chat meetings with a provider to facilitate either group support, education, or even virtual clinic visits. The CKD app also includes educational material on CKD and its symptoms.
CONCLUSIONS CONCLUSIONS
Patients with CKD and CKD care providers believe that a mobile app can enhance CKD self-management by facilitating patient-provider communication and enabling self-care activities including treatment adherence.

Identifiants

pubmed: 34914614
pii: v8i4e29197
doi: 10.2196/29197
pmc: PMC8717130
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e29197

Informations de copyright

©Talar W Markossian, Jason Boyda, Jennifer Taylor, Bella Etingen, François Modave, Ron Price, Holly J Kramer. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 15.12.2021.

Références

J Gerontol A Biol Sci Med Sci. 2020 Feb 14;75(3):522-528
pubmed: 31644788
BMJ Open. 2018 Mar 22;8(3):e019814
pubmed: 29567848
Med Care. 2006 Nov;44(11):964-71
pubmed: 17063127
J Ren Nutr. 2011 Mar;21(2):188-95
pubmed: 20650652
JAMA. 2002 Nov 20;288(19):2469-75
pubmed: 12435261
Chronic Illn. 2008 Dec;4(4):247-56
pubmed: 19091933
JMIR Mhealth Uhealth. 2018 Dec 14;6(12):e11579
pubmed: 30552080
Am J Kidney Dis. 1996 Jun;27(6):844-7
pubmed: 8651249
Nurs Outlook. 2009 Jul-Aug;57(4):217-225.e6
pubmed: 19631064
JMIR Mhealth Uhealth. 2018 Jun 21;6(6):e10115
pubmed: 29929949
JMIR Mhealth Uhealth. 2019 Sep 04;7(9):e12604
pubmed: 31486408
Am J Kidney Dis. 2005 Apr;45(4 Suppl 3):S1-153
pubmed: 15806502
Prev Med. 2003 Apr;36(4):410-9
pubmed: 12649049
Clin J Am Soc Nephrol. 2016 Jun 6;11(6):1054-62
pubmed: 27173169
Annu Rev Public Health. 2003;24:289-313
pubmed: 12415147
Am J Kidney Dis. 2004 May;43(5 Suppl 1):S1-290
pubmed: 15114537
Clin J Am Soc Nephrol. 2019 Apr 5;14(4):523-529
pubmed: 30898873
BMJ. 2000 Feb 26;320(7234):526-7
pubmed: 10688539
Arch Intern Med. 2008 Sep 8;168(16):1776-82
pubmed: 18779465
Med Care. 1999 Jan;37(1):5-14
pubmed: 10413387
Nephrol Nurs J. 2005 Jul-Aug;32(4):389-95
pubmed: 16180780
Nurs Health Sci. 2009 Sep;11(3):277-84
pubmed: 19689636
Med Decis Making. 2010 Sep-Oct;30(5 Suppl):5S-7S
pubmed: 20881148
Am J Nephrol. 1981;1(2):69-77
pubmed: 6758574
Telemed J E Health. 2008 Apr;14(3):273-9
pubmed: 18570552
Am J Kidney Dis. 2000 Jun;35(6 Suppl 2):S17-S104
pubmed: 10895784
Nephrol Dial Transplant. 2011 Nov;26(11):3560-6
pubmed: 21414969
J Ren Care. 2008 Sep;34(3):151-8
pubmed: 18786082
J Med Internet Res. 2008 Mar 25;10(1):e7
pubmed: 18364344
Arch Intern Med. 2008 Nov 10;168(20):2268-75
pubmed: 19001205
Am J Kidney Dis. 2003 Apr;41(4 Suppl 3):I-IV, S1-91
pubmed: 12671933
JMIR Mhealth Uhealth. 2015 Mar 11;3(1):e27
pubmed: 25760773

Auteurs

Talar W Markossian (TW)

Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United States.

Jason Boyda (J)

Department of Informatics and System Development, Loyola University Chicago, Chicago, IL, United States.

Jennifer Taylor (J)

Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United States.

Bella Etingen (B)

Center for Innovation for Complex Chronic Healthcare, Hines Veterans Administration Hospital, Hines, IL, United States.

François Modave (F)

Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States.

Ron Price (R)

Department of Informatics and System Development, Loyola University Chicago, Chicago, IL, United States.

Holly J Kramer (HJ)

Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United States.
Department of Medicine, Loyola University Chicago, Maywood, IL, United States.

Classifications MeSH