Mobile phone apps for family caregivers: A scoping review and qualitative content analysis
Jamie Yea Eun Park, Christopher Shawn Tracy, Carolyn Steele Gray
Digital Health · 2022
doi:10.1177/20552076221076672 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Background The growth of mHealth apps has been exponential in recent years, but there is limited knowledge regarding the availability, functionality, and quality of apps to support family caregivers. Our objectives were to identify the apps currently available to support family caregivers and to analyze the app functions and evaluation claims. Methods This scoping review was conducted across the iOS, Android, and Windows Phone app stores in three steps: (1) electronic app search; (2) iterative inclusion and exclusion criteria development; (3) mixed-method analysis of app characteristics and evaluation claims. Results The search identified 1008 apps; 175 met our inclusion/exclusion criteria. Most apps offered either one (36%, 63/175) or two (41%, 71/175) specific functions, the most common of which were access to service and provider directories, providing patient-caring tips, and tools to facilitate daily activities associated with caring for a loved one. For fully two-thirds (67%, 118/175) of the identified apps, the functions serve to assist caregivers to support the care recipient as opposed to supporting the family caregivers themselves. Conclusions The findings of this review indicate that, while a wide range of family caregiver apps are now available across the mHealth landscape, most apps offer limited functionality. Therefore, there is a need for multi-functionality to avoid the inherent challenges that caregivers may experience when navigating and managing multiple apps to meet all their various needs. Moreover, as this specific niche continues to develop, greater attention should be devoted to supporting family caregivers’ own personal care needs as caregiver burden is a pressing challenge.
Abstract licence: CC BY-NC
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.