Preferred Features in Mobile Health Applications for Kidney Transplant Recipients: A Qualitative Approach.


Journal

Nephrology nursing journal : journal of the American Nephrology Nurses' Association
ISSN: 1526-744X
Titre abrégé: Nephrol Nurs J
Pays: United States
ID NLM: 100909377

Informations de publication

Date de publication:
Historique:
entrez: 30 12 2020
pubmed: 31 12 2020
medline: 15 1 2021
Statut: ppublish

Résumé

Despite the increasing number of consumer-based mobile health applications (mHealth apps) for self-care, there is little research exploring consumers' experiences with mHealth apps. Health apps using mobile technology have the potential to provide a platform for kidney transplant recipients to monitor their self-care in real time. This study explored kidney transplant recipients' perceptions of the usefulness of mHealth apps and identified features that Kidney transplant recipients believe are important for using mHealth apps. A qualitative design was used to explore a purposive sample of adult kidney transplant recipients from a Midwest Transplant Program who used an mHealth app. Qualitative content data analysis revealed three themes participants found useful: health tracking (medication, nutrition, fluid intake, lab values, and activity), feedback (short personalized messages, positive awards using symbols, and color-coded bar graphs indicating normal and abnormal ranges), and usability (large font, words that everyone can understand, and all information stored in one area).

Identifiants

pubmed: 33377753

Types de publication

Journal Article

Langues

eng

Pagination

529-536

Informations de copyright

Copyright© by the American Nephrology Nurses Association.

Déclaration de conflit d'intérêts

The authors reported no actual or potential conflict of interest in relation to this continuing nursing education activity.

Auteurs

Tara O'Brien (T)

Assistant Professor, The Ohio State University College of Nursing, Columbus, OH.

Anna Rosenthal (A)

Staff Nurse, The James Cancer Hospital, The Ohio State University Medical Wexner Center, Columbus, OH.

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Classifications MeSH