Mobile Health Apps for Patient-Centered Care: Review of United States Rheumatoid Arthritis Apps for Engagement and Activation.

Autor:	Cozad MJ; Health Services Research and Administration Department, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States., Crum M; School of Medicine Greenville, University of South Carolina, Greenville, SC, United States., Tyson H; Business and Accounting Department, Furman University, Greenville, SC, United States., Fleming PR; School of Medicine Greenville, University of South Carolina, Columbia, SC, United States., Stratton J; Business and Accounting Department, Furman University, Greenville, SC, United States., Kennedy AB; School of Medicine Greenville, University of South Carolina, Greenville, SC, United States., Lindley LC; College of Nursing, University of Tennessee-Knoxville, Knoxville, TN, United States., Horner RD; Health Services Research and Administration Department, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
Jazyk:	angličtina
Zdroj:	JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2022 Dec 05; Vol. 10 (12), pp. e39881. Date of Electronic Publication: 2022 Dec 05.
DOI:	10.2196/39881
Abstrakt:	Background: Rheumatoid arthritis (RA) is a highly dynamic and individualized disease in terms of its patterns of symptomatic flare-ups and periods of remission. Patient-centered care (PCC) aligns patients' lifestyle goals with their preferences for managing symptoms and side effects through the selection of therapies appropriate for disease management. Mobile health (mHealth) apps have the potential to engage and activate patients in PCC. mHealth apps can provide features that increase disease knowledge, collect patient-generated health indicators and behavioral metrics, and highlight goals for disease management. However, little evidence-based guidance exists as to which apps contain functionality essential for supporting the delivery of PCC. Objective: The objective of this study was to evaluate the patient-centeredness of United States-based rheumatoid arthritis mobile apps in terms of patient engagement and activation. Methods: A search of mobile apps on 2 major United States app stores (Apple App Store and Google Play) was conducted from June 2020 to July 2021 to identify apps designed for use by patients with RA by adapting the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines for mobile health app screening based on the literature. Reviewers conducted a content analysis of mobile app features to evaluate their functionality for patient engagement and activation. Engagement and activation were assessed using the Mobile Application Rating Scale (MARS) and social cognitive theory, respectively. Apps were ranked by their ability to facilitate PCC care along 2 dimensions: engagement and activation. Results: A total of 202 mobile apps were initially identified, and 20 remained after screening. Two apps emerged with the greatest ability to facilitate PCC. Both apps were scored as having acceptable or good patient engagement according to the MARS. These 2 apps also had high patient activation according to social cognitive theory, with many features within those apps representing theoretical constructs such as knowledge, perceived self-efficacy, and expectations about outcomes that support behavioral management of RA. Conclusions: We found very few mobile apps available within the United States that have functionality that both engages and activates the patient to facilitate PCC. As the prevalence of mobile apps expands, the design of mobile apps needs to integrate patients to ensure that their functionality promotes engagement and activation. More research is needed to understand how mobile app use impacts patient engagement and activation, and ultimately, treatment decisions and disease trajectory. (©Melanie J Cozad, Marissa Crum, Hannah Tyson, Perry R Fleming, Jeanine Stratton, Ann Blair Kennedy, Lisa C Lindley, Ronnie D Horner. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 05.12.2022.)
Databáze:	MEDLINE
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